I be­lieve deeply in the ex­is­ten­tial im­por­tance of us­ing AI to de­fend the United States and other democ­ra­cies, and to de­feat our au­to­cratic ad­ver­saries. Anthropic has there­fore worked proac­tively to de­ploy our mod­els to the Department of War and the in­tel­li­gence com­mu­nity. We were the first fron­tier AI com­pany to de­ploy our mod­els in the US gov­ern­men­t’s clas­si­fied net­works, the first to de­ploy them at the National Laboratories, and the first to pro­vide cus­tom mod­els for na­tional se­cu­rity cus­tomers. Claude is ex­ten­sively de­ployed across the Department of War and other na­tional se­cu­rity agen­cies for mis­sion-crit­i­cal ap­pli­ca­tions, such as in­tel­li­gence analy­sis, mod­el­ing and sim­u­la­tion, op­er­a­tional plan­ning, cy­ber op­er­a­tions, and more.An­thropic has also acted to de­fend America’s lead in AI, even when it is against the com­pa­ny’s short-term in­ter­est. We chose to forgo sev­eral hun­dred mil­lion dol­lars in rev­enue to cut off the use of Claude by firms linked to the Chinese Communist Party (some of whom have been des­ig­nated by the Department of War as Chinese Military Companies), shut down CCP-sponsored cy­ber­at­tacks that at­tempted to abuse Claude, and have ad­vo­cated for strong ex­port con­trols on chips to en­sure a de­mo­c­ra­tic ad­van­tage.An­thropic un­der­stands that the Department of War, not pri­vate com­pa­nies, makes mil­i­tary de­ci­sions. We have never raised ob­jec­tions to par­tic­u­lar mil­i­tary op­er­a­tions nor at­tempted to limit use of our tech­nol­ogy in an ad hoc man­ner.How­ever, in a nar­row set of cases, we be­lieve AI can un­der­mine, rather than de­fend, de­mo­c­ra­tic val­ues. Some uses are also sim­ply out­side the bounds of what to­day’s tech­nol­ogy can safely and re­li­ably do. Two such use cases have never been in­cluded in our con­tracts with the Department of War, and we be­lieve they should not be in­cluded now:Mass do­mes­tic sur­veil­lance. We sup­port the use of AI for law­ful for­eign in­tel­li­gence and coun­ter­in­tel­li­gence mis­sions. But us­ing these sys­tems for mass do­mes­tic sur­veil­lance is in­com­pat­i­ble with de­mo­c­ra­tic val­ues. AI-driven mass sur­veil­lance pre­sents se­ri­ous, novel risks to our fun­da­men­tal lib­er­ties. To the ex­tent that such sur­veil­lance is cur­rently le­gal, this is only be­cause the law has not yet caught up with the rapidly grow­ing ca­pa­bil­i­ties of AI. For ex­am­ple, un­der cur­rent law, the gov­ern­ment can pur­chase de­tailed records of Americans’ move­ments, web brows­ing, and as­so­ci­a­tions from pub­lic sources with­out ob­tain­ing a war­rant, a prac­tice the Intelligence Community has ac­knowl­edged raises pri­vacy con­cerns and that has gen­er­ated bi­par­ti­san op­po­si­tion in Congress. Powerful AI makes it pos­si­ble to as­sem­ble this scat­tered, in­di­vid­u­ally in­nocu­ous data into a com­pre­hen­sive pic­ture of any per­son’s life—au­to­mat­i­cally and at mas­sive scale.Fully au­tonomous weapons. Partially au­tonomous weapons, like those used to­day in Ukraine, are vi­tal to the de­fense of democ­racy. Even fully au­tonomous weapons (those that take hu­mans out of the loop en­tirely and au­to­mate se­lect­ing and en­gag­ing tar­gets) may prove crit­i­cal for our na­tional de­fense. But to­day, fron­tier AI sys­tems are sim­ply not re­li­able enough to power fully au­tonomous weapons. We will not know­ingly pro­vide a prod­uct that puts America’s warfight­ers and civil­ians at risk. We have of­fered to work di­rectly with the Department of War on R&D to im­prove the re­li­a­bil­ity of these sys­tems, but they have not ac­cepted this of­fer. In ad­di­tion, with­out proper over­sight, fully au­tonomous weapons can­not be re­lied upon to ex­er­cise the crit­i­cal judg­ment that our highly trained, pro­fes­sional troops ex­hibit every day. They need to be de­ployed with proper guardrails, which don’t ex­ist to­day.To our knowl­edge, these two ex­cep­tions have not been a bar­rier to ac­cel­er­at­ing the adop­tion and use of our mod­els within our armed forces to date.The Department of War has stated they will only con­tract with AI com­pa­nies who ac­cede to “any law­ful use” and re­move safe­guards in the cases men­tioned above. They have threat­ened to re­move us from their sys­tems if we main­tain these safe­guards; they have also threat­ened to des­ig­nate us a “supply chain risk”—a la­bel re­served for US ad­ver­saries, never be­fore ap­plied to an American com­pany—and to in­voke the Defense Production Act to force the safe­guards’ re­moval. These lat­ter two threats are in­her­ently con­tra­dic­tory: one la­bels us a se­cu­rity risk; the other la­bels Claude as es­sen­tial to na­tional se­cu­rity.Re­gard­less, these threats do not change our po­si­tion: we can­not in good con­science ac­cede to their re­quest.It is the Department’s pre­rog­a­tive to se­lect con­trac­tors most aligned with their vi­sion. But given the sub­stan­tial value that Anthropic’s tech­nol­ogy pro­vides to our armed forces, we hope they re­con­sider. Our strong pref­er­ence is to con­tinue to serve the Department and our warfight­ers—with our two re­quested safe­guards in place. Should the Department choose to off­board Anthropic, we will work to en­able a smooth tran­si­tion to an­other provider, avoid­ing any dis­rup­tion to on­go­ing mil­i­tary plan­ning, op­er­a­tions, or other crit­i­cal mis­sions. Our mod­els will be avail­able on the ex­pan­sive terms we have pro­posed for as long as re­quired.We re­main ready to con­tinue our work to sup­port the na­tional se­cu­rity of the United States.

Enter the work email you’ll use to sign into the Google Form. Used only to match your ver­i­fi­ca­tion — never pub­lished or shared.

Alternative ver­i­fi­ca­tion

For those who pre­fer not to use a work email or don’t have one (e.g. for­mer em­ploy­ees). Upload a photo of a work badge, send us a mes­sage on Signal, point us to a co-signer who can vouch for you, or oth­er­wise pro­vide proof of em­ploy­ment.

Google Form email ver­i­fi­ca­tion

After sub­mit­ting, you’ll open a short Google Form and sign in with your work Google ac­count (@google.com, @openai.com). This ver­i­fies your email with­out send­ing any­thing to your in­box.

Email ver­i­fi­ca­tion

We’ll send a ver­i­fi­ca­tion link to your work email. Note: the email will be vis­i­ble in your in­box.

Email ver­i­fi­ca­tion

We’ll send a ver­i­fi­ca­tion link to your work email. Note: the email will be vis­i­ble in your in­box.

Google Form email ver­i­fi­ca­tion

After sub­mit­ting, you’ll open a short Google Form and sign in with your work Google ac­count (@google.com, @openai.com). This ver­i­fies your email with­out send­ing any­thing to your in­box.

Alternative ver­i­fi­ca­tion

For those who pre­fer not to use a work email or don’t have one (e.g. for­mer em­ploy­ees). Upload a photo of a work badge, send us a mes­sage on Signal, point us to a co-signer who can vouch for you, or oth­er­wise pro­vide proof of em­ploy­ment.

Your sig­na­ture will ap­pear as “Anonymous [Role/Title if pro­vided], ver­i­fied [current/former] em­ployee at [Company].” Only one or­ga­nizer re­views anony­mous sig­na­tures. Your per­sonal data (name, email) is au­to­mat­i­cally deleted within 24 hours of ver­i­fi­ca­tion.

Sign anony­mously. Your name will not be pub­lished.

Your sig­na­ture will ap­pear as “Anonymous [Role/Title if pro­vided], ver­i­fied [current/former] em­ployee at [Company].” Only one or­ga­nizer re­views anony­mous sig­na­tures. Your per­sonal data (name, email) is au­to­mat­i­cally deleted within 24 hours of ver­i­fi­ca­tion.

Current and for­mer em­ploy­ees of Google and OpenAI are in­vited to sign. You may sign anony­mously. All sig­na­tures are ver­i­fied be­fore be­ing pub­lished.

Enter the work email you’ll use to sign into the Google Form. Used only to match your ver­i­fi­ca­tion — never pub­lished or shared.

Alternative ver­i­fi­ca­tion

For those who pre­fer not to use a work email or don’t have one (e.g. for­mer em­ploy­ees). Upload a photo of a work badge, send us a mes­sage on Signal, point us to a co-signer who can vouch for you, or oth­er­wise pro­vide proof of em­ploy­ment.

Google Form email ver­i­fi­ca­tion

After sub­mit­ting, you’ll open a short Google Form and sign in with your work Google ac­count (@google.com, @openai.com). This ver­i­fies your email with­out send­ing any­thing to your in­box.

Email ver­i­fi­ca­tion

We’ll send a ver­i­fi­ca­tion link to your work email. Note: the email will be vis­i­ble in your in­box.

Google Form email ver­i­fi­ca­tion

After sub­mit­ting, you’ll open a short Google Form and sign in with your work Google ac­count (@google.com, @openai.com). This ver­i­fies your email with­out send­ing any­thing to your in­box.

Alternative ver­i­fi­ca­tion

For those who pre­fer not to use a work email or don’t have one (e.g. for­mer em­ploy­ees). Upload a photo of a work badge, send us a mes­sage on Signal, point us to a co-signer who can vouch for you, or oth­er­wise pro­vide proof of em­ploy­ment.

Your sig­na­ture will ap­pear as “Anonymous [Role/Title if pro­vided], ver­i­fied [current/former] em­ployee at [Company].” Only one or­ga­nizer re­views anony­mous sig­na­tures. Your per­sonal data (name, email) is au­to­mat­i­cally deleted within 24 hours of ver­i­fi­ca­tion.

Sign anony­mously. Your name will not be pub­lished.

Your sig­na­ture will ap­pear as “Anonymous [Role/Title if pro­vided], ver­i­fied [current/former] em­ployee at [Company].” Only one or­ga­nizer re­views anony­mous sig­na­tures. Your per­sonal data (name, email) is au­to­mat­i­cally deleted within 24 hours of ver­i­fi­ca­tion.

Current and for­mer em­ploy­ees of Google and OpenAI are in­vited to sign. You may sign anony­mously. All sig­na­tures are ver­i­fied be­fore be­ing pub­lished.

Have you thought about broad­en­ing the re­quests to be more com­pre­hen­sive?

The goal of this let­ter is to find com­mon ground. The sig­na­to­ries likely have a di­verse set of views. The cur­rent sit­u­a­tion with the DoW is so clear-cut that it can bring to­gether a very broad coali­tion. Signing this let­ter does­n’t mean you think it’s the only thing that needs to be done, just that you agree with the bot­tom line.

Who is be­hind this?

This let­ter was or­ga­nized by a few cit­i­zens who are con­cerned about the po­ten­tial mis­use of AI against Americans. We are not af­fil­i­ated with any po­lit­i­cal party, ad­vo­cacy group, or or­ga­ni­za­tion. We are not af­fil­i­ated with any AI com­pany and are not paid.

Current and for­mer em­ploy­ees of Google and OpenAI are in­vited to sign. We ver­ify every sig­na­ture to en­sure au­then­tic­ity. You may sign anony­mously.

How is my data han­dled?

If you sign anony­mously, your per­sonal in­for­ma­tion (name, email) is au­to­mat­i­cally and per­ma­nently deleted from our data­base within 24 hours of ver­i­fi­ca­tion. After dele­tion, only your anony­mous pub­lic list­ing re­mains (e.g. “Anonymous, ver­i­fied cur­rent em­ployee at [Company]“). Only one or­ga­nizer has ac­cess to re­view anony­mous sig­na­tures dur­ing that 24-hour win­dow. No one else can see your iden­tity.

If you sign pub­licly, we store your name and af­fil­i­a­tion to dis­play on the let­ter. Email ad­dresses used for ver­i­fi­ca­tion are never pub­lished or shared.

What if I ac­ci­den­tally fill out the form twice?

Don’t worry. We de-du­pli­cate non-anony­mous sig­na­tures au­to­mat­i­cally, and anony­mous sig­na­tures within 24 hours (before per­sonal data is deleted). For anony­mous sig­na­to­ries be­yond 24 hours, we can­not ver­ify there are no du­pli­cates, though there is one hu­man who man­u­ally reads all sig­na­tures and will try hard to no­tice and cor­rect any abuse of the sys­tem.

I signed anony­mously but now want to put my name on it. How can I fix that?

Sign again us­ing the “Alternative ver­i­fi­ca­tion” method. In the ver­i­fi­ca­tion de­tails, men­tion that you pre­vi­ously signed anony­mously and would like to switch to a named sig­na­ture. We’ll up­date your en­try and make sure you’re not dou­ble-counted.

How do you ver­ify sig­na­tures?

Every sig­na­ture is ver­i­fied be­fore it ap­pears on the let­ter. If you sign us­ing the Google Form or email ver­i­fi­ca­tion op­tions, we con­firm that you have ac­cess to a @google.com or @openai.com email ad­dress. If you use al­ter­na­tive ver­i­fi­ca­tion, an or­ga­nizer man­u­ally re­views your proof of em­ploy­ment. No sig­na­ture is pub­lished with­out ver­i­fi­ca­tion.

Have there been any mis­takes in sig­na­ture ver­i­fi­ca­tion for this let­ter?

We are aware of two mis­takes in our ef­forts to ver­ify the sig­na­tures in the form so far. One per­son who was not an em­ployee of OpenAI or Google found a bug in our ver­i­fi­ca­tion sys­tem and signed falsely un­der the name “You guys are let­ting China Win”. This was no­ticed and fixed in un­der 10 min­utes, and the ver­i­fi­ca­tion sys­tem was im­proved to pre­vent mis­takes like this from hap­pen­ing again. We also had two peo­ple sub­mit twice in a way that our au­to­matic de-du­pli­ca­tion did­n’t catch. We do pe­ri­odic checks for this.

Because of anonymity con­sid­er­a­tions, all sig­na­tures are man­u­ally re­viewed by one fal­li­ble hu­man. We do our best to make sure we catch and cor­rect any mis­takes, but we are not per­fect and will prob­a­bly make mis­takes. We will log those mis­takes here as we find them.

Motorola, a Lenovo Company, an­nounced the ad­di­tion of new con­sumer and en­ter­prise so­lu­tions to its port­fo­lio to­day at Mobile World Congress. The com­pany un­veiled a part­ner­ship with the GrapheneOS Foundation, to bring cut­ting-edge se­cu­rity to every­day users across the globe. In ad­di­tion, Motorola in­tro­duced a new Moto Secure fea­ture and Moto Analytics, to ex­pand Motorola’s B2B ecosys­tem with ad­vanced se­cu­rity and deeper op­er­a­tional in­sights for or­ga­ni­za­tions across in­dus­tries. These an­nounce­ments re­in­force Motorola’s com­mit­ment to de­liv­er­ing in­tel­li­gent, and highly ca­pa­ble tech­nol­ogy with en­hanced se­cu­rity for cus­tomers world­wide.

GrapheneOS Foundation Partnership

Motorola is in­tro­duc­ing a new era of smart­phone se­cu­rity through a long‑term part­ner­ship with the GrapheneOS Foundation, the lead­ing non­profit in ad­vanced mo­bile se­cu­rity and cre­ators of a hard­ened, op­er­at­ing sys­tem based on the Android Open Source Project. Together, Motorola and the GrapheneOS Foundation will work to strengthen smart­phone se­cu­rity and col­lab­o­rate on fu­ture de­vices en­gi­neered with GrapheneOS com­pat­i­bil­ity.

“We are thrilled to be part­ner­ing with Motorola to bring GrapheneOS’s in­dus­try‑lead­ing pri­vacy and se­cu­rity‑fo­cused mo­bile op­er­at­ing sys­tem to their next-gen­er­a­tion smart­phone”, said a spokesper­son at GrapheneOS. “This col­lab­o­ra­tion marks a sig­nif­i­cant mile­stone in ex­pand­ing the reach of GrapheneOS, and we ap­plaud Motorola for tak­ing this mean­ing­ful step to­wards ad­vanc­ing mo­bile se­cu­rity.”

By com­bin­ing GrapheneOS’s pi­o­neer­ing en­gi­neer­ing with Motorola’s decades of se­cu­rity ex­per­tise, real‑world user in­sights, and Lenovo’s ThinkShield so­lu­tions, the col­lab­o­ra­tion will ad­vance a new gen­er­a­tion of pri­vacy and se­cu­rity tech­nolo­gies. In the com­ing months, Motorola and the GrapheneOS Foundation will con­tinue to col­lab­o­rate on joint re­search, soft­ware en­hance­ments, and new se­cu­rity ca­pa­bil­i­ties, with more de­tails and so­lu­tions to roll out as the part­ner­ship evolves.

Moto Analytics

Today, Motorola also in­tro­duced Moto Analytics, an en­ter­prise‑grade an­a­lyt­ics plat­form de­signed to give IT ad­min­is­tra­tors real‑time vis­i­bil­ity into de­vice per­for­mance across their fleet. Unlike tra­di­tional EMM tools that fo­cus pri­mar­ily on ac­cess con­trol, Moto Analytics pro­vides deep op­er­a­tional in­sights, from app sta­bil­ity to bat­tery health and con­nec­tiv­ity per­for­mance.

With this data, IT teams can trou­bleshoot more ef­fi­ciently, pre­vent is­sues be­fore they es­ca­late, and main­tain em­ployee pro­duc­tiv­ity. As part of the ThinkShield ecosys­tem, Moto Analytics in­te­grates seam­lessly with ex­ist­ing en­ter­prise en­vi­ron­ments and scales ef­fort­lessly as or­ga­ni­za­tions grow.

Private Image Data

Motorola is also ex­pand­ing its Moto Secure plat­form with a new fea­ture, Private Image Data. This tool gives users greater con­trol over the hid­den data stored in their pho­tos. When en­abled, it au­to­mat­i­cally re­moves sen­si­tive meta­data from all new cam­era im­ages on the de­vice, help­ing pro­tect de­tails like lo­ca­tion and de­vice in­for­ma­tion. This pro­tec­tion runs qui­etly in the back­ground, pre­serv­ing the im­age it­self while clear­ing some of the pri­vate data at­tached to it.

Private Image Data joins a grow­ing set of pro­tec­tions within the Moto Secure app, Motorola’s cen­tral hub for es­sen­tial pri­vacy and se­cu­rity tools pow­ered by ThinkShield. From man­ag­ing app per­mis­sions to se­cur­ing sen­si­tive files and mon­i­tor­ing de­vice in­tegrity, Moto Secure brings key Android and Motorola safe­guards to­gether in one place, mak­ing it eas­ier for users to un­der­stand and man­age their de­vice’s se­cu­rity.

Private Image Data will be­gin rolling out to mo­torola sig­na­ture de­vices in the com­ing months, with ad­di­tional up­dates and re­fine­ments ex­pected over time.

With the in­tro­duc­tion of these new so­lu­tions, Motorola is ex­pand­ing its en­ter­prise port­fo­lio with so­lu­tions built for to­day’s most de­mand­ing busi­ness en­vi­ron­ments. From ad­vanced se­cu­rity to op­er­a­tional ef­fi­ciency and in­tel­li­gent de­vice man­age­ment, these in­no­va­tions re­flect Motorola’s com­mit­ment to em­pow­er­ing or­ga­ni­za­tions with tech­nol­ogy that is se­cu­rity-fo­cused, re­li­able, and ready for the fu­ture.

Legal Disclaimers

Certain fea­tures, func­tion­al­ity, and prod­uct spec­i­fi­ca­tions may be net­work-de­pen­dent and sub­ject to ad­di­tional terms, con­di­tions, and charges. All are sub­ject to change with­out no­tice. MOTOROLA, the Stylized M Logo, MOTO, and the MOTO fam­ily of marks are trade­marks of Motorola Trademark Holdings, LLC. LENOVO and THINKSHIELD are trade­marks of Lenovo. Android is a trade­mark of Google, LLC. All other trade­marks are the prop­erty of their re­spec­tive own­ers. ©2026 Motorola Mobility LLC. All rights re­served.

Say hello to MacBook Neo

Apple’s all-new MacBook fea­tures a durable alu­minum de­sign, a stun­ning 13-inch Liquid Retina dis­play, the power of Apple sil­i­con, and all-day bat­tery life — all for the break­through start­ing price of just $599

Apple to­day un­veiled MacBook Neo, an all-new lap­top that de­liv­ers the magic of the Mac at a break­through price, mak­ing it even more ac­ces­si­ble to mil­lions of peo­ple around the world. MacBook Neo starts with a beau­ti­ful Apple de­sign, fea­tur­ing a durable alu­minum en­clo­sure in an ar­ray of gor­geous col­ors — blush, in­digo, sil­ver, and a fresh new cit­rus. Its stun­ning 13-inch Liquid Retina dis­play brings web­sites, pho­tos, videos, and apps to life with high res­o­lu­tion and bright­ness, and sup­port for 1 bil­lion col­ors. Powered by A18 Pro, MacBook Neo can fly through every­day tasks, from brows­ing the web and stream­ing con­tent, to edit­ing pho­tos, ex­plor­ing cre­ative hob­bies, or us­ing AI ca­pa­bil­i­ties across apps. In fact, it’s up to 50 per­cent faster for every­day tasks like web brows­ing,1 and up to 3x faster when run­ning on-de­vice AI work­loads like ap­ply­ing ad­vanced ef­fects to pho­tos,2 com­pared to the best­selling PC with the lat­est ship­ping Intel Core Ultra 5. Providing up to 16 hours of bat­tery life, MacBook Neo al­lows users to go all day on a sin­gle charge.3 A 1080p FaceTime HD cam­era and dual mics make it easy to look and sound great, and the dual side-fir­ing speak­ers with Spatial Audio de­liver crisp, im­mer­sive sound. MacBook Neo also fea­tures Apple’s renowned Magic Keyboard for com­fort­able and pre­cise typ­ing, and a large Multi-Touch track­pad with sup­port for in­tu­itive ges­tures, en­abling smooth and pre­cise con­trol. Completing the MacBook Neo ex­pe­ri­ence is ma­cOS Tahoe, with pow­er­ful built-in apps like Messages, Pages, Calendar, and Safari; seam­less in­te­gra­tion with iPhone; Apple Intelligence; as well as broad com­pat­i­bil­ity with third-party apps. And start­ing at just $599 and $499 for ed­u­ca­tion, MacBook Neo is Apple’s most af­ford­able lap­top ever, pro­vid­ing an un­prece­dented com­bi­na­tion of qual­ity and value. MacBook Neo is avail­able to pre-or­der start­ing to­day, with avail­abil­ity be­gin­ning Wednesday, March 11.

“We’re in­cred­i­bly ex­cited to in­tro­duce MacBook Neo, which de­liv­ers the magic of the Mac at a break­through price,” said John Ternus, Apple’s se­nior vice pres­i­dent of Hardware Engineering. “Built from the ground up to be more af­ford­able for even more peo­ple, MacBook Neo is a lap­top only Apple could cre­ate. It fea­tures a durable alu­minum de­sign in four beau­ti­ful col­ors; a bril­liant Liquid Retina dis­play; Apple sil­i­con-pow­ered per­for­mance; all-day bat­tery life; a high-qual­ity cam­era, mics, and speak­ers; a Magic Keyboard and Multi-Touch track­pad; and the in­tu­itive and pow­er­ful fea­tures of ma­cOS. There is sim­ply no other lap­top like it.”

MacBook Neo pro­vides an un­matched com­bi­na­tion of qual­ity and af­ford­abil­ity for stu­dents, fam­i­lies, small busi­ness own­ers, new Mac users, and more.

A fanned-out ar­ray of MacBook Neo mod­els in its four col­ors: sil­ver, blush, cit­rus, and in­digo.

MacBook Neo comes in four beau­ti­ful col­ors — sil­ver, blush, cit­rus, and in­digo.

MacBook Neo comes in four beau­ti­ful col­ors — blush, in­digo, sil­ver, and cit­rus.

MacBook Neo comes in four beau­ti­ful col­ors — blush, in­digo, sil­ver, and cit­rus.

MacBook Neo comes in four beau­ti­ful col­ors — blush, in­digo, sil­ver, and cit­rus.

MacBook Neo comes in four beau­ti­ful col­ors — blush, in­digo, sil­ver, and cit­rus.

A user an­swers emails and browses the web on their cit­rus MacBook Neo.

A per­son uses ChatGPT and Canva on their blush MacBook Neo.

A per­son mul­ti­tasks be­tween apps on their in­digo MacBook Neo.

With A18 Pro, MacBook Neo can power through a wide range of every­day tasks, from brows­ing the web to send­ing emails and ef­fort­lessly mul­ti­task­ing be­tween apps.

With A18 Pro, MacBook Neo can power through a wide range of every­day tasks, from brows­ing the web to send­ing emails and ef­fort­lessly mul­ti­task­ing be­tween apps.

With A18 Pro, MacBook Neo can power through a wide range of every­day tasks, from brows­ing the web to send­ing emails and ef­fort­lessly mul­ti­task­ing be­tween apps.

A18 Pro fea­tures a 5-core GPU to fa­cil­i­tate smooth per­for­mance for every­thing from FaceTime calls to ca­sual game­play.

A stu­dent uses their cit­rus MacBook Neo in a class­room set­ting.

A per­son lounges in bed us­ing MacBook Neo while lis­ten­ing to mu­sic on AirPods Max.

A per­son uses their sil­ver MacBook Neo in an au­di­to­rium-like set­ting.

MacBook Neo de­liv­ers up to 16 hours of bat­tery life on a sin­gle charge, mak­ing it a per­fect on-the-go com­pan­ion for school, work, or play.

MacBook Neo de­liv­ers up to 16 hours of bat­tery life on a sin­gle charge, mak­ing it a per­fect on-the-go com­pan­ion for school, work, or play.

MacBook Neo de­liv­ers up to 16 hours of bat­tery life on a sin­gle charge, mak­ing it a per­fect on-the-go com­pan­ion for school, work, or play.

MacBook Neo de­liv­ers up to 16 hours of bat­tery life on a sin­gle charge, mak­ing it a per­fect on-the-go com­pan­ion for school, work, or play.

Customers can pre-or­der the new MacBook Neo start­ing to­day at ap­ple.com/​store and in the Apple Store app in 30 coun­tries and re­gions, in­clud­ing the U. S. It will be­gin ar­riv­ing to cus­tomers, and will be in Apple Store lo­ca­tions and Apple Authorized Resellers, start­ing Wednesday, March 11.

MacBook Neo starts at $599 (U.S.) and $499 (U.S.) for ed­u­ca­tion. It is avail­able in four col­ors — blush, in­digo, sil­ver, and cit­rus. Additional tech­ni­cal spec­i­fi­ca­tions, con­fig­ure-to-or­der op­tions, and ac­ces­sories are avail­able at ap­ple.com/​mac.

With Apple Trade In, cus­tomers can trade in their cur­rent com­puter and get credit to­ward a new Mac. Customers can visit ap­ple.com/​shop/​trade-in to see what their de­vice is worth.

AppleCare de­liv­ers ex­cep­tional ser­vice and sup­port, with flex­i­ble op­tions for Apple users. Customers can choose AppleCare+ to cover their new Mac, or in the U.S., AppleCare One to pro­tect mul­ti­ple prod­ucts in one sim­ple plan. Both plans in­clude cov­er­age for ac­ci­dents like drops and spills, theft and loss pro­tec­tion on el­i­gi­ble prod­ucts, bat­tery re­place­ment ser­vice, and 24/7 sup­port from Apple Experts. For more in­for­ma­tion, visit ap­ple.com/​ap­ple­care.

Every cus­tomer who buys di­rectly from Apple Retail gets ac­cess to Personal Setup. In these guided on­line ses­sions, a Specialist can walk them through setup, or fo­cus on fea­tures that help them make the most of their new de­vice. Customers can also learn more about get­ting started and go­ing fur­ther with their new de­vice with a Today at Apple ses­sion at their near­est Apple Store.

Customers in the U.S. who shop at Apple us­ing Apple Card can pay monthly at 0 per­cent APR when they choose to check out with Apple Card Monthly Installments, and they’ll get 3 per­cent Daily Cash back — all up front. More in­for­ma­tion — in­clud­ing de­tails on el­i­gi­bil­ity, ex­clu­sions, and Apple Card terms — is avail­able at ap­ple.com/​ap­ple-card/​monthly-in­stall­ments.

Apple’s all-new MacBook fea­tures a durable alu­minum de­sign, a stun­ning 13-inch Liquid Retina dis­play, the power of Apple sil­i­con, and all-day bat­tery life — all for the break­through start­ing price of just $599

CUPERTINO, CALIFORNIA Apple to­day un­veiled MacBook Neo, an all-new lap­top that de­liv­ers the magic of the Mac at a break­through price, mak­ing it even more ac­ces­si­ble to mil­lions of peo­ple around the world. MacBook Neo starts with a beau­ti­ful Apple de­sign, fea­tur­ing a durable alu­minum en­clo­sure in an ar­ray of gor­geous col­ors — blush, in­digo, sil­ver, and a fresh new cit­rus. Its stun­ning 13-inch Liquid Retina dis­play brings web­sites, pho­tos, videos, and apps to life with high res­o­lu­tion and bright­ness, and sup­port for 1 bil­lion col­ors. Powered by A18 Pro, MacBook Neo can fly through every­day tasks, from brows­ing the web and stream­ing con­tent, to edit­ing pho­tos, ex­plor­ing cre­ative hob­bies, or us­ing AI ca­pa­bil­i­ties across apps. In fact, it’s up to 50 per­cent faster for every­day tasks like web brows­ing,1 and up to 3x faster when run­ning on-de­vice AI work­loads like ap­ply­ing ad­vanced ef­fects to pho­tos,2 com­pared to the best­selling PC with the lat­est ship­ping Intel Core Ultra 5. Providing up to 16 hours of bat­tery life, MacBook Neo al­lows users to go all day on a sin­gle charge.3 A 1080p FaceTime HD cam­era and dual mics make it easy to look and sound great, and the dual side-fir­ing speak­ers with Spatial Audio de­liver crisp, im­mer­sive sound. MacBook Neo also fea­tures Apple’s renowned Magic Keyboard for com­fort­able and pre­cise typ­ing, and a large Multi-Touch track­pad with sup­port for in­tu­itive ges­tures, en­abling smooth and pre­cise con­trol. Completing the MacBook Neo ex­pe­ri­ence is ma­cOS Tahoe, with pow­er­ful built-in apps like Messages, Pages, Calendar, and Safari; seam­less in­te­gra­tion with iPhone; Apple Intelligence; as well as broad com­pat­i­bil­ity with third-party apps. And start­ing at just $599 and $499 for ed­u­ca­tion, MacBook Neo is Apple’s most af­ford­able lap­top ever, pro­vid­ing an un­prece­dented com­bi­na­tion of qual­ity and value. MacBook Neo is avail­able to pre-or­der start­ing to­day, with avail­abil­ity be­gin­ning Wednesday, March 11.

“We’re in­cred­i­bly ex­cited to in­tro­duce MacBook Neo, which de­liv­ers the magic of the Mac at a break­through price,” said John Ternus, Apple’s se­nior vice pres­i­dent of Hardware Engineering. “Built from the ground up to be more af­ford­able for even more peo­ple, MacBook Neo is a lap­top only Apple could cre­ate. It fea­tures a durable alu­minum de­sign in four beau­ti­ful col­ors; a bril­liant Liquid Retina dis­play; Apple sil­i­con-pow­ered per­for­mance; all-day bat­tery life; a high-qual­ity cam­era, mics, and speak­ers; a Magic Keyboard and Multi-Touch track­pad; and the in­tu­itive and pow­er­ful fea­tures of ma­cOS. There is sim­ply no other lap­top like it.”

MacBook Neo fea­tures a beau­ti­fully crafted alu­minum de­sign that’s built to last. With its soft, rounded cor­ners, MacBook Neo looks el­e­gant while feel­ing solid and com­fort­able to hold. At just 2.7 pounds, it’s also easy to carry in a back­pack or hand­bag. Bringing a fun touch of per­son­al­ity and style to every­day com­put­ing, MacBook Neo comes in a spec­trum of four gor­geous col­ors: blush, in­digo, sil­ver, and cit­rus. These col­ors ex­tend to the Magic Keyboard in lighter shades and new wall­pa­pers, cre­at­ing a co­he­sive de­sign aes­thetic and mak­ing MacBook Neo the most col­or­ful MacBook yet.

A gor­geous 13-inch Liquid Retina dis­play fea­tures a 2408-by-1506 res­o­lu­tion, 500 nits of bright­ness, and sup­port for 1 bil­lion col­ors, bring­ing to life sharp, crys­tal-clear text and vi­brant im­ages. The dis­play is both brighter and higher in res­o­lu­tion than most PC lap­tops in this price range, putting it in a class of its own. Finally, an anti-re­flec­tive coat­ing pro­vides a com­fort­able view­ing ex­pe­ri­ence in a va­ri­ety of light­ing con­di­tions, al­low­ing users to watch movies, edit pho­tos, or take video calls from any­where.

At the heart of MacBook Neo is A18 Pro, en­abling users to power through things they do every day, like brows­ing the web, cre­at­ing doc­u­ments, stream­ing con­tent, edit­ing pho­tos, and tak­ing ad­van­tage of AI. Users can seam­lessly work be­tween their fa­vorite apps, like Messages, WhatsApp, Canva, Excel, Safari, and more. MacBook Neo with A18 Pro is up to 50 per­cent faster for every­day tasks than the best­selling PC with the lat­est ship­ping Intel Core Ultra 5.1 And for more de­mand­ing ac­tiv­i­ties, it’s up to 3x faster for on-de­vice AI work­loads2 and up to 2x faster for tasks like photo edit­ing.4 The in­te­grated 5-core GPU brings graph­ics to life while play­ing ac­tion-packed games or ex­plor­ing cre­ative hob­bies. And a 16-core Neural Engine sup­ports fast on-de­vice Apple Intelligence fea­tures and every­day AI tasks like sum­ma­riz­ing notes in Bear or us­ing the Clean Up tool in the Photos app, while en­sur­ing user data stays pri­vate and se­cure. MacBook Neo is also fan­less, so it runs com­pletely silent.

Thanks to the in­cred­i­ble power ef­fi­ciency of Apple sil­i­con, MacBook Neo de­liv­ers up to 16 hours of bat­tery life on a sin­gle charge.3 This makes it a per­fect on-the-go com­pan­ion for work or play, from the class­room to the cof­fee shop, and every­where in be­tween.

MacBook Neo fea­tures Apple’s much-loved Magic Keyboard, which pro­vides a com­fort­able, pre­cise typ­ing ex­pe­ri­ence, while a large Multi-Touch track­pad lets users click, scroll, swipe, and pinch any­where on its sur­face. The MacBook Neo model with Touch ID en­ables easy, quick, and se­cure lo­gin au­then­ti­ca­tion, and the abil­ity to con­ve­niently au­tho­rize pur­chases us­ing Apple Pay.

The 1080p FaceTime HD cam­era on MacBook Neo has op­ti­mized im­age pro­cess­ing to de­liver vi­brant video calls. Dual mics with di­rec­tional beam­form­ing are de­signed to re­duce back­ground noise and iso­late a user’s voice, al­low­ing it to come across loud and clear for an ex­cel­lent video con­fer­enc­ing ex­pe­ri­ence. And dual side-fir­ing speak­ers with sup­port for Spatial Audio and Dolby Atmos pro­duce im­mer­sive sound for watch­ing a movie, lis­ten­ing to mu­sic, or us­ing apps like GarageBand.

MacBook Neo fea­tures two USB-C ports for con­nect­ing ac­ces­sories or an ex­ter­nal dis­play.5 Both ports can be used for charg­ing. MacBook Neo also in­cludes a head­phone jack for wired au­dio. Wi-Fi 6E pro­vides fast wire­less con­nec­tiv­ity, and Bluetooth 6 en­sures re­li­able wire­less con­nec­tions for pe­riph­er­als and ac­ces­sories.

ma­cOS is Apple’s pow­er­ful and in­tu­itive op­er­at­ing sys­tem for Mac.6 With in­cred­i­ble fea­tures and built-in apps like Safari, Photos, Messages, and FaceTime, ma­cOS en­ables users to get started right out of the box. Apple Intelligence fea­tures like Writing Tools, Live Translation, and more are deeply in­te­grated across ma­cOS, el­e­vat­ing the user ex­pe­ri­ence by bring­ing in­tel­li­gence to the apps users rely on every day.7 Advanced pri­vacy and se­cu­rity also come stan­dard, fea­tur­ing in­dus­try‑lead­ing en­cryp­tion, ro­bust virus pro­tec­tions, and au­to­matic free se­cu­rity up­dates to help keep users pro­tected.

iPhone users can tap in to Continuity fea­tures built in to ma­cOS to make work­ing across iPhone and Mac a breeze. Handoff lets users start a task on MacBook Neo and con­tinue it on iPhone, while Universal Clipboard al­lows users to copy and paste con­tent be­tween de­vices. With iPhone Mirroring, users can view and in­ter­act with their iPhone di­rectly on MacBook Neo, and users switch­ing to Mac for the first time can use iPhone to con­ve­niently and se­curely trans­fer set­tings, files, pho­tos, pass­words, and more.

Built with the Environment in Mind

MacBook Neo was built from the ground up to be Apple’s low­est-car­bon MacBook, and brings the com­pany even closer to reach­ing its am­bi­tious plan to be car­bon neu­tral across its en­tire foot­print by 2030. It fea­tures 60 per­cent re­cy­cled con­tent — the high­est per­cent­age of any Apple prod­uct.8 This in­cludes 90 per­cent re­cy­cled alu­minum over­all and 100 per­cent re­cy­cled cobalt in the bat­tery. The en­clo­sure is man­u­fac­tured with a ma­te­r­ial-ef­fi­cient form­ing process that uses 50 per­cent less alu­minum com­pared to tra­di­tional ma­chin­ing meth­ods. MacBook Neo is man­u­fac­tured with 45 per­cent re­new­able elec­tric­ity, like wind and so­lar, across the sup­ply chain. It also meets Apple’s high stan­dards for en­ergy ef­fi­ciency and safe chem­istry. Additionally, the pa­per pack­ag­ing is 100 per­cent fiber-based and can be eas­ily re­cy­cled.9

Customers can pre-or­der the new MacBook Neo start­ing to­day at ap­ple.com/​store and in the Apple Store app in 30 coun­tries and re­gions, in­clud­ing the U.S. It will be­gin ar­riv­ing to cus­tomers, and will be in Apple Store lo­ca­tions and Apple Authorized Resellers, start­ing Wednesday, March 11.

MacBook Neo starts at $599 (U.S.) and $499 (U.S.) for ed­u­ca­tion. It is avail­able in four col­ors — blush, in­digo, sil­ver, and cit­rus. Additional tech­ni­cal spec­i­fi­ca­tions, con­fig­ure-to-or­der op­tions, and ac­ces­sories are avail­able at ap­ple.com/​mac.

With Apple Trade In, cus­tomers can trade in their cur­rent com­puter and get credit to­ward a new Mac. Customers can visit ap­ple.com/​shop/​trade-in to see what their de­vice is worth.

AppleCare de­liv­ers ex­cep­tional ser­vice and sup­port, with flex­i­ble op­tions for Apple users. Customers can choose AppleCare+ to cover their new Mac, or in the U.S., AppleCare One to pro­tect mul­ti­ple prod­ucts in one sim­ple plan. Both plans in­clude cov­er­age for ac­ci­dents like drops and spills, theft and loss pro­tec­tion on el­i­gi­ble prod­ucts, bat­tery re­place­ment ser­vice, and 24/7 sup­port from Apple Experts. For more in­for­ma­tion, visit ap­ple.com/​ap­ple­care.

Every cus­tomer who buys di­rectly from Apple Retail gets ac­cess to Personal Setup. In these guided on­line ses­sions, a Specialist can walk them through setup, or fo­cus on fea­tures that help them make the most of their new de­vice. Customers can also learn more about get­ting started and go­ing fur­ther with their new de­vice with a Today at Apple ses­sion at their near­est Apple Store.

Customers in the U.S. who shop at Apple us­ing Apple Card can pay monthly at 0 per­cent APR when they choose to check out with Apple Card Monthly Installments, and they’ll get 3 per­cent Daily Cash back — all up front. More in­for­ma­tion — in­clud­ing de­tails on el­i­gi­bil­ity, ex­clu­sions, and Apple Card terms — is avail­able at ap­ple.com/​ap­ple-card/​monthly-in­stall­ments.

About Apple

Apple rev­o­lu­tion­ized per­sonal tech­nol­ogy with the in­tro­duc­tion of the Macintosh in 1984. Today, Apple leads the world in in­no­va­tion with iPhone, iPad, Mac, AirPods, Apple Watch, and Apple Vision Pro. Apple’s six soft­ware plat­forms — iOS, iPa­dOS, ma­cOS, watchOS, vi­sionOS, and tvOS — pro­vide seam­less ex­pe­ri­ences across all Apple de­vices and em­power peo­ple with break­through ser­vices in­clud­ing the App Store, Apple Music, Apple Pay, iCloud, and Apple TV. Apple’s more than 150,000 em­ploy­ees are ded­i­cated to mak­ing the best prod­ucts on earth and to leav­ing the world bet­ter than we found it.

Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Speedometer 3.1 per­for­mance bench­mark tested with pre-re­lease Safari 26.3 on ma­cOS Tahoe, and both Chrome 144.0.7559.110 and Edge 144.0.3719.104 on Windows 11 Home. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Adobe Photoshop 2026 27.3.0 tested us­ing the fol­low­ing fil­ters and func­tions: su­per zoom, depth blur, JPEG ar­ti­fact re­moval, style trans­fer, photo restora­tion, and land­scape mixer. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

Testing was con­ducted by Apple in January 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD. Wireless web bat­tery life tested by brows­ing 25 pop­u­lar web­sites while con­nected to Wi-Fi. Video stream­ing bat­tery life tested with 1080p con­tent in Safari while con­nected to Wi-Fi. All sys­tems tested with dis­play bright­ness set to eight clicks from bot­tom. Battery life varies by use and con­fig­u­ra­tion. See ap­ple.com/​bat­ter­ies for more in­for­ma­tion.

Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Tested with Affinity v3.0.3.4027 us­ing the built-in bench­mark 30000. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

MacBook Neo fea­tures two USB-C ports — USB 3 (left) and USB 2 (right). External dis­play con­nec­tiv­ity sup­ported on left USB 3 port only.

ma­cOS Tahoe is avail­able as a free soft­ware up­date. Some fea­tures may not be avail­able in all re­gions or in all lan­guages. See re­quire­ments at ap­ple.com/​os/​ma­cos.

Apple Intelligence is avail­able in beta with sup­port for these lan­guages: English, Danish, Dutch, French, German, Italian, Norwegian, Portuguese, Spanish, Swedish, Turkish, Vietnamese, Chinese (simplified), Chinese (traditional), Japanese, and Korean. Some fea­tures may not be avail­able in all re­gions or lan­guages. For fea­ture and lan­guage avail­abil­ity and sys­tem re­quire­ments, see sup­port.ap­ple.com/​en-us/​121115.

Product re­cy­cled or re­new­able con­tent is the mass of cer­ti­fied re­cy­cled ma­te­r­ial rel­a­tive to the over­all mass of the de­vice, not in­clud­ing pack­ag­ing or in-box ac­ces­sories. Comparison ex­cludes ac­ces­sories.

Breakdown of U.S. re­tail pack­ag­ing by weight. Adhesives, inks, and coat­ings are ex­cluded from cal­cu­la­tions.

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* Customers can pre-or­der the new MacBook Neo start­ing to­day at ap­ple.com/​store and in the Apple Store app in 30 coun­tries and re­gions, in­clud­ing the U.S. It will be­gin ar­riv­ing to cus­tomers, and will be in Apple Store lo­ca­tions and Apple Authorized Resellers, start­ing Wednesday, March 11.

* MacBook Neo starts at $599 (U.S.) and $499 (U.S.) for ed­u­ca­tion. It is avail­able in four col­ors — blush, in­digo, sil­ver, and cit­rus. Additional tech­ni­cal spec­i­fi­ca­tions, con­fig­ure-to-or­der op­tions, and ac­ces­sories are avail­able at ap­ple.com/​mac.

* With Apple Trade In, cus­tomers can trade in their cur­rent com­puter and get credit to­ward a new Mac. Customers can visit ap­ple.com/​shop/​trade-in to see what their de­vice is worth.

* AppleCare de­liv­ers ex­cep­tional ser­vice and sup­port, with flex­i­ble op­tions for Apple users. Customers can choose AppleCare+ to cover their new Mac, or in the U.S., AppleCare One to pro­tect mul­ti­ple prod­ucts in one sim­ple plan. Both plans in­clude cov­er­age for ac­ci­dents like drops and spills, theft and loss pro­tec­tion on el­i­gi­ble prod­ucts, bat­tery re­place­ment ser­vice, and 24/7 sup­port from Apple Experts. For more in­for­ma­tion, visit ap­ple.com/​ap­ple­care.

* Every cus­tomer who buys di­rectly from Apple Retail gets ac­cess to Personal Setup. In these guided on­line ses­sions, a Specialist can walk them through setup, or fo­cus on fea­tures that help them make the most of their new de­vice. Customers can also learn more about get­ting started and go­ing fur­ther with their new de­vice with a Today at Apple ses­sion at their near­est Apple Store.

* Customers in the U.S. who shop at Apple us­ing Apple Card can pay monthly at 0 per­cent APR when they choose to check out with Apple Card Monthly Installments, and they’ll get 3 per­cent Daily Cash back — all up front. More in­for­ma­tion — in­clud­ing de­tails on el­i­gi­bil­ity, ex­clu­sions, and Apple Card terms — is avail­able at ap­ple.com/​ap­ple-card/​monthly-in­stall­ments.

* Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Speedometer 3.1 per­for­mance bench­mark tested with pre-re­lease Safari 26.3 on ma­cOS Tahoe, and both Chrome 144.0.7559.110 and Edge 144.0.3719.104 on Windows 11 Home. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

* Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Adobe Photoshop 2026 27.3.0 tested us­ing the fol­low­ing fil­ters and func­tions: su­per zoom, depth blur, JPEG ar­ti­fact re­moval, style trans­fer, photo restora­tion, and land­scape mixer. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

* Testing was con­ducted by Apple in January 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD. Wireless web bat­tery life tested by brows­ing 25 pop­u­lar web­sites while con­nected to Wi-Fi. Video stream­ing bat­tery life tested with 1080p con­tent in Safari while con­nected to Wi-Fi. All sys­tems tested with dis­play bright­ness set to eight clicks from bot­tom. Battery life varies by use and con­fig­u­ra­tion. See ap­ple.com/​bat­ter­ies for more in­for­ma­tion.

* Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Tested with Affinity v3.0.3.4027 us­ing the built-in bench­mark 30000. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

* MacBook Neo fea­tures two USB-C ports — USB 3 (left) and USB 2 (right). External dis­play con­nec­tiv­ity sup­ported on left USB 3 port only.

* ma­cOS Tahoe is avail­able as a free soft­ware up­date. Some fea­tures may not be avail­able in all re­gions or in all lan­guages. See re­quire­ments at ap­ple.com/​os/​ma­cos.

* Apple Intelligence is avail­able in beta with sup­port for these lan­guages: English, Danish, Dutch, French, German, Italian, Norwegian, Portuguese, Spanish, Swedish, Turkish, Vietnamese, Chinese (simplified), Chinese (traditional), Japanese, and Korean. Some fea­tures may not be avail­able in all re­gions or lan­guages. For fea­ture and lan­guage avail­abil­ity and sys­tem re­quire­ments, see sup­port.ap­ple.com/​en-us/​121115.

* Product re­cy­cled or re­new­able con­tent is the mass of cer­ti­fied re­cy­cled ma­te­r­ial rel­a­tive to the over­all mass of the de­vice, not in­clud­ing pack­ag­ing or in-box ac­ces­sories. Comparison ex­cludes ac­ces­sories.

* Breakdown of U.S. re­tail pack­ag­ing by weight. Adhesives, inks, and coat­ings are ex­cluded from cal­cu­la­tions.

Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Speedometer 3.1 per­for­mance bench­mark tested with pre-re­lease Safari 26.3 on ma­cOS Tahoe, and both Chrome 144.0.7559.110 and Edge 144.0.3719.104 on Windows 11 Home. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Adobe Photoshop 2026 27.3.0 tested us­ing the fol­low­ing fil­ters and func­tions: su­per zoom, depth blur, JPEG ar­ti­fact re­moval, style trans­fer, photo restora­tion, and land­scape mixer. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

Testing was con­ducted by Apple in January 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD. Wireless web bat­tery life tested by brows­ing 25 pop­u­lar web­sites while con­nected to Wi-Fi. Video stream­ing bat­tery life tested with 1080p con­tent in Safari while con­nected to Wi-Fi. All sys­tems tested with dis­play bright­ness set to eight clicks from bot­tom. Battery life varies by use and con­fig­u­ra­tion. See ap­ple.com/​bat­ter­ies for more in­for­ma­tion.

Testing was con­ducted by Apple in January and February 2026 us­ing pre­pro­duc­tion MacBook Neo sys­tems with Apple A18 Pro, 6-core CPU, 5-core GPU, 8GB of uni­fied mem­ory, and 256GB SSD, as well as pro­duc­tion Intel Core Ultra 5-based PC sys­tems with Intel Graphics, 8GB of RAM, 256GB SSD, and the lat­est ver­sion of Windows 11 Home avail­able at the time of test­ing. Bestselling PC lap­top with the lat­est ship­ping Intel Core Ultra 5 proces­sor is based on pub­licly avail­able sales data over the prior six months. Tested with Affinity v3.0.3.4027 us­ing the built-in bench­mark 30000. Performance tests are con­ducted us­ing spe­cific com­puter sys­tems and re­flect the ap­prox­i­mate per­for­mance of MacBook Neo.

MacBook Neo fea­tures two USB-C ports — USB 3 (left) and USB 2 (right). External dis­play con­nec­tiv­ity sup­ported on left USB 3 port only.

ma­cOS Tahoe is avail­able as a free soft­ware up­date. Some fea­tures may not be avail­able in all re­gions or in all lan­guages. See re­quire­ments at ap­ple.com/​os/​ma­cos.

Apple Intelligence is avail­able in beta with sup­port for these lan­guages: English, Danish, Dutch, French, German, Italian, Norwegian, Portuguese, Spanish, Swedish, Turkish, Vietnamese, Chinese (simplified), Chinese (traditional), Japanese, and Korean. Some fea­tures may not be avail­able in all re­gions or lan­guages. For fea­ture and lan­guage avail­abil­ity and sys­tem re­quire­ments, see sup­port.ap­ple.com/​en-us/​121115.

Product re­cy­cled or re­new­able con­tent is the mass of cer­ti­fied re­cy­cled ma­te­r­ial rel­a­tive to the over­all mass of the de­vice, not in­clud­ing pack­ag­ing or in-box ac­ces­sories. Comparison ex­cludes ac­ces­sories.

Breakdown of U. S. re­tail pack­ag­ing by weight. Adhesives, inks, and coat­ings are ex­cluded from cal­cu­la­tions.

This is a brief guide to my new art pro­ject mi­crogpt, a sin­gle file of 200 lines of pure Python with no de­pen­den­cies that trains and in­fer­ences a GPT. This file con­tains the full al­go­rith­mic con­tent of what is needed: dataset of doc­u­ments, to­k­enizer, au­to­grad en­gine, a GPT-2-like neural net­work ar­chi­tec­ture, the Adam op­ti­mizer, train­ing loop, and in­fer­ence loop. Everything else is just ef­fi­ciency. I can­not sim­plify this any fur­ther. This script is the cul­mi­na­tion of mul­ti­ple pro­jects (micrograd, make­more, nanogpt, etc.) and a decade-long ob­ses­sion to sim­plify LLMs to their bare es­sen­tials, and I think it is beau­ti­ful 🥹. It even breaks per­fectly across 3 columns:

Where to find it:

This GitHub gist has the full source code: mi­crogpt.py

It’s also avail­able on this web page: https://​karpa­thy.ai/​mi­crogpt.html

Also avail­able as a Google Colab note­book

The fol­low­ing is my guide on step­ping an in­ter­ested reader through the code.

The fuel of large lan­guage mod­els is a stream of text data, op­tion­ally sep­a­rated into a set of doc­u­ments. In pro­duc­tion-grade ap­pli­ca­tions, each doc­u­ment would be an in­ter­net web page but for mi­crogpt we use a sim­pler ex­am­ple of 32,000 names, one per line:

# Let there be an in­put dataset `docs`: list[str] of doc­u­ments (e.g. a dataset of names)

if not os.path.ex­ists(‘in­put.txt’):

im­port url­lib.re­quest

names_url = ’https://​raw.githubuser­con­tent.com/​karpa­thy/​make­more/​refs/​heads/​mas­ter/​names.txt’

url­lib.re­quest.url­re­trieve(names_url, ‘input.txt’)

docs = [l.strip() for l in open(‘in­put.txt’).read().strip().split(‘\n’) if l.strip()] # list[str] of doc­u­ments

ran­dom.shuf­fle(docs)

print(f”num docs: {len(docs)}“)

The dataset looks like this. Each name is a doc­u­ment:

The goal of the model is to learn the pat­terns in the data and then gen­er­ate sim­i­lar new doc­u­ments that share the sta­tis­ti­cal pat­terns within. As a pre­view, by the end of the script our model will gen­er­ate (“hallucinate”!) new, plau­si­ble-sound­ing names. Skipping ahead, we’ll get:

It does­n’t look like much, but from the per­spec­tive of a model like ChatGPT, your con­ver­sa­tion with it is just a funny look­ing “document”. When you ini­tial­ize the doc­u­ment with your prompt, the mod­el’s re­sponse from its per­spec­tive is just a sta­tis­ti­cal doc­u­ment com­ple­tion.

Under the hood, neural net­works work with num­bers, not char­ac­ters, so we need a way to con­vert text into a se­quence of in­te­ger to­ken ids and back. Production to­k­eniz­ers like tik­to­ken (used by GPT-4) op­er­ate on chunks of char­ac­ters for ef­fi­ciency, but the sim­plest pos­si­ble to­k­enizer just as­signs one in­te­ger to each unique char­ac­ter in the dataset:

# Let there be a Tokenizer to trans­late strings to dis­crete sym­bols and back

uchars = sorted(set(‘’.join(docs))) # unique char­ac­ters in the dataset be­come to­ken ids 0..n-1

BOS = len(uchars) # to­ken id for the spe­cial Beginning of Sequence (BOS) to­ken

vo­cab_­size = len(uchars) + 1 # to­tal num­ber of unique to­kens, +1 is for BOS

print(f”vo­cab size: {vocab_size}“)

In the code above, we col­lect all unique char­ac­ters across the dataset (which are just all the low­er­case let­ters a-z), sort them, and each let­ter gets an id by its in­dex. Note that the in­te­ger val­ues them­selves have no mean­ing at all; each to­ken is just a sep­a­rate dis­crete sym­bol. Instead of 0, 1, 2 they might as well be dif­fer­ent emoji. In ad­di­tion, we cre­ate one more spe­cial to­ken called BOS (Beginning of Sequence), which acts as a de­lim­iter: it tells the model “a new doc­u­ment starts/​ends here”. Later dur­ing train­ing, each doc­u­ment gets wrapped with BOS on both sides: [BOS, e, m, m, a, BOS]. The model learns that BOS ini­tates a new name, and that an­other BOS ends it. Therefore, we have a fi­nal vo­cavu­lary of 27 (26 pos­si­ble low­er­case char­ac­ters a-z and +1 for the BOS to­ken).

Training a neural net­work re­quires gra­di­ents: for each pa­ra­me­ter in the model, we need to know “if I nudge this num­ber up a lit­tle, does the loss go up or down, and by how much?”. The com­pu­ta­tion graph has many in­puts (the model pa­ra­me­ters and the in­put to­kens) but fun­nels down to a sin­gle scalar out­put: the loss (we’ll de­fine ex­actly what the loss is be­low). Backpropagation starts at that sin­gle out­put and works back­wards through the graph, com­put­ing the gra­di­ent of the loss with re­spect to every in­put. It re­lies on the chain rule from cal­cu­lus. In pro­duc­tion, li­braries like PyTorch han­dle this au­to­mat­i­cally. Here, we im­ple­ment it from scratch in a sin­gle class called Value:

class Value:

__slots__ = (‘data’, ‘grad’, ‘_children’, ‘_local_grads’)

def __init__(self, data, chil­dren=(), lo­cal_­grads=()):

self.data = data # scalar value of this node cal­cu­lated dur­ing for­ward pass

self.grad = 0 # de­riv­a­tive of the loss w.r.t. this node, cal­cu­lated in back­ward pass

self._chil­dren = chil­dren # chil­dren of this node in the com­pu­ta­tion graph

self._lo­cal_­grads = lo­cal_­grads # lo­cal de­riv­a­tive of this node w.r.t. its chil­dren

def __add__(self, other):

other = other if isin­stance(other, Value) else Value(other)

re­turn Value(self.data + other.data, (self, other), (1, 1))

def __mul__(self, other):

other = other if isin­stance(other, Value) else Value(other)

re­turn Value(self.data * other.data, (self, other), (other.data, self.data))

def __pow__(self, other): re­turn Value(self.data**other, (self,), (other * self.data**(other-1),))

def log(self): re­turn Value(math.log(self.data), (self,), (1/self.data,))

def exp(self): re­turn Value(math.exp(self.data), (self,), (math.exp(self.data),))

def relu(self): re­turn Value(max(0, self.data), (self,), (float(self.data > 0),))

def __neg__(self): re­turn self * -1

def __radd__(self, other): re­turn self + other

def __sub__(self, other): re­turn self + (-other)

def __rsub__(self, other): re­turn other + (-self)

def __rmul__(self, other): re­turn self * other

def __truediv__(self, other): re­turn self * other**-1

def __rtruediv__(self, other): re­turn other * self**-1

def back­ward(self):

topo = []

vis­ited = set()

def build_­topo(v):

if v not in vis­ited:

vis­ited.add(v)

for child in v._chil­dren:

build_­topo(child)

topo.ap­pend(v)

build_­topo(self)

self.grad = 1

for v in re­versed(topo):

for child, lo­cal_­grad in zip(v._chil­dren, v._lo­cal_­grads):

child.grad += lo­cal_­grad * v.grad

I re­al­ize that this is the most math­e­mat­i­cally and al­go­rith­mi­cally in­tense part and I have a 2.5 hour video on it: mi­cro­grad video. Briefly, a Value wraps a sin­gle scalar num­ber (.data) and tracks how it was com­puted. Think of each op­er­a­tion as a lit­tle lego block: it takes some in­puts, pro­duces an out­put (the for­ward pass), and it knows how its out­put would change with re­spect to each of its in­puts (the lo­cal gra­di­ent). That’s all the in­for­ma­tion au­to­grad needs from each block. Everything else is just the chain rule, string­ing the blocks to­gether.

Every time you do math with Value ob­jects (add, mul­ti­ply, etc.), the re­sult is a new Value that re­mem­bers its in­puts (_children) and the lo­cal de­riv­a­tive of that op­er­a­tion (_local_grads). For ex­am­ple, __mul__ records that \(\frac{\partial(a \cdot b)}{\par­tial a} = b\) and \(\frac{\partial(a \cdot b)}{\par­tial b} = a\). The full set of lego blocks:

The back­ward() method walks this graph in re­verse topo­log­i­cal or­der (starting from the loss, end­ing at the pa­ra­me­ters), ap­ply­ing the chain rule at each step. If the loss is \(L\) and a node \(v\) has a child \(c\) with lo­cal gra­di­ent \(\frac{\partial v}{\par­tial c}\), then:

\[\frac{\partial L}{\partial c} \mathrel{+}= \frac{\partial v}{\par­tial c} \cdot \frac{\partial L}{\partial v}\]

This looks a bit scary if you’re not com­fort­able with your cal­cu­lus, but this is lit­er­ally just mul­ti­ply­ing two num­bers in an in­tu­itive way. One way to see it looks as fol­lows: “If a car trav­els twice as fast as a bi­cy­cle and the bi­cy­cle is four times as fast as a walk­ing man, then the car trav­els 2 x 4 = 8 times as fast as the man.” The chain rule is the same idea: you mul­ti­ply the rates of change along the path.

We kick things off by set­ting self.grad = 1 at the loss node, be­cause \(\frac{\partial L}{\partial L} = 1\): the loss’s rate of change with re­spect to it­self is triv­ially 1. From there, the chain rule just mul­ti­plies lo­cal gra­di­ents along every path back to the pa­ra­me­ters.

Note the += (accumulation, not as­sign­ment). When a value is used in mul­ti­ple places in the graph (i.e. the graph branches), gra­di­ents flow back along each branch in­de­pen­dently and must be summed. This is a con­se­quence of the mul­ti­vari­able chain rule: if \(c\) con­tributes to \(L\) through mul­ti­ple paths, the to­tal de­riv­a­tive is the sum of con­tri­bu­tions from each path.

After back­ward() com­pletes, every Value in the graph has a .grad con­tain­ing \(\frac{\partial L}{\partial v}\), which tells us how the fi­nal loss would change if we nudged that value.

Here’s a con­crete ex­am­ple. Note that a is used twice (the graph branches), so its gra­di­ent is the sum of both paths:

a = Value(2.0)

b = Value(3.0)

c = a * b # c = 6.0

L = c + a # L = 8.0

L.backward()

print(a.grad) # 4.0 (dL/da = b + 1 = 3 + 1, via both paths)

print(b.grad) # 2.0 (dL/db = a = 2)

This is ex­actly what PyTorch’s .backward() gives you:

This is the same al­go­rithm that PyTorch’s loss.back­ward() runs, just on scalars in­stead of ten­sors (arrays of scalars) - al­go­rith­mi­cally iden­ti­cal, sig­nif­i­cantly smaller and sim­pler, but of course a lot less ef­fi­cient.

Let’s spell what the .backward() gives us above. Autograd cal­cu­lated that if L = a*b + a, and a=2 and b=3, then a.grad = 4.0 is telling us about the lo­cal in­flu­ence of a on L. If you wig­gle the in­m­put a, in what di­rec­tion is L chang­ing? Here, the de­riv­a­tive of L w.r.t. a is 4.0, mean­ing that if we in­crease a by a tiny amount (say 0.001), L would in­crease by about 4x that (0.004). Similarly, b.grad = 2.0 means the same nudge to b would in­crease L by about 2x that (0.002). In other words, these gra­di­ents tell us the di­rec­tion (positive or neg­a­tive de­pend­ing on the sign), and the steep­ness (the mag­ni­tude) of the in­flu­ence of each in­di­vid­ual in­put on the fi­nal out­put (the loss). This then al­lows us to in­ter­ately nudge the pa­ra­me­ters of our neural net­work to lower the loss, and hence im­prove its pre­dic­tions.

The pa­ra­me­ters are the knowl­edge of the model. They are a large col­lec­tion of float­ing point num­bers (wrapped in Value for au­to­grad) that start out ran­dom and are it­er­a­tively op­ti­mized dur­ing train­ing. The ex­act role of each pa­ra­me­ter will make more sense once we de­fine the model ar­chi­tec­ture be­low, but for now we just need to ini­tial­ize them:

n_embd = 16 # em­bed­ding di­men­sion

n_­head = 4 # num­ber of at­ten­tion heads

n_layer = 1 # num­ber of lay­ers

block­_­size = 16 # max­i­mum se­quence length

head­_dim = n_embd // n_­head # di­men­sion of each head

ma­trix = lambda nout, nin, std=0.08: [[Value(random.gauss(0, std)) for _ in range(nin)] for _ in range(nout)]

state_­dict = {‘wte’: ma­trix(vo­cab_­size, n_embd), ‘wpe’: ma­trix(block­_­size, n_embd), ‘lm_head’: ma­trix(vo­cab_­size, n_embd)}

for i in range(n_layer):

state_­dict[f’layer{i}.at­tn_wq’] = ma­trix(n_embd, n_embd)

state_­dict[f’layer{i}.at­tn_wk’] = ma­trix(n_embd, n_embd)

state_­dict[f’layer{i}.at­tn_wv’] = ma­trix(n_embd, n_embd)

state_­dict[f’layer{i}.at­tn_­wo’] = ma­trix(n_embd, n_embd)

state_­dict[f’layer{i}.mlp_fc1′] = ma­trix(4 * n_embd, n_embd)

state_­dict[f’layer{i}.mlp_fc2′] = ma­trix(n_embd, 4 * n_embd)

params = [p for mat in state_­dict.val­ues() for row in mat for p in row]

print(f”num params: {len(params)}“)

“There are also sex scenes filmed with the smart glasses — some­one is wear­ing them hav­ing sex. That is why this is so ex­tremely sen­si­tive. There are cam­eras every­where in our of­fice, and you are not al­lowed to bring your own phones or any de­vice that can record”, an em­ployee says. In or­der to an­swer ques­tions and in­ter­pret what the cam­era sees, the glasses re­quire that data be processed via Meta’s in­fra­struc­ture — it is not pos­si­ble to in­ter­act with the AI solely lo­cally on the phone. We con­tact Synsam and Synoptik for an in­ter­view about what train­ing the sales staff re­ceive and how it can be that the an­swers they give are so dif­fer­ent. Synsam re­sponded in writ­ing that its role is to in­form cus­tomers about the ap­plic­a­ble terms and to pro­vide in­ter­nal train­ing, but that re­spon­si­bil­ity for com­ply­ing with Swedish law and Meta’s terms ul­ti­mately rests with the wearer. Synoptik re­sponded in sim­i­lar terms, say­ing its staff are trained in ethics and em­p­hazise the user’s re­spon­si­bil­ity.But for the AI as­sis­tant to func­tion, voice, text, im­age and some­times video must be processed and may be shared on­wards. This data pro­cess­ing is done au­to­mat­i­cally and can­not be turned off.It is not spec­i­fied how much data may be analysed or for how long it may be stored. Nor is it spec­i­fied who is given ac­cess to the data.Where do the im­ages come from? Can pri­vate videos from Sweden end up on screens in Kenya? Those who ap­pear in the im­ages, have they con­sented to ap­pear­ing in this way?“Many be­lieve that data must be stored within the EU to be pro­tected. But un­der GDPR it does not mat­ter where the server is lo­cated — as long as the coun­try meets the EU’s re­quire­ments. If it does not, data may not be sent there”.“Tech­ni­cally, we have data cen­tres in Sweden, Denmark and Ireland, but the phys­i­cal lo­ca­tion is ac­tu­ally less rel­e­vant. The le­gal re­spon­si­bil­ity lies with Meta Ireland, which is the European en­tity. Where the data is ac­tu­ally processed — in Europe or in the US — does not change the reg­u­la­tory frame­work”.“For it to be per­mit­ted to use a ser­vice provider in a third coun­try (outside the EU), it is re­quired that ro­bust agree­ments with in­struc­tions are in place. It must also be en­sured that there is le­gal sup­port for the trans­fers, so that the data that is trans­ferred re­ceives con­tin­ued strong and equiv­a­lent pro­tec­tion when it is processed in a third coun­try. The pro­tec­tion must there­fore not be­come weaker when it is processed by sub­con­trac­tors”, says Petra Wierup.

Hur san­no­likt är det att du skulle rek­om­mendera SvD till en vän eller kol­lega?

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Earlier to­day, Secretary of War Pete Hegseth shared on X that he is di­rect­ing the Department of War to des­ig­nate Anthropic a sup­ply chain risk. This ac­tion fol­lows months of ne­go­ti­a­tions that reached an im­passe over two ex­cep­tions we re­quested to the law­ful use of our AI model, Claude: the mass do­mes­tic sur­veil­lance of Americans and fully au­tonomous weapons.

We have not yet re­ceived di­rect com­mu­ni­ca­tion from the Department of War or the White House on the sta­tus of our ne­go­ti­a­tions.

We have tried in good faith to reach an agree­ment with the Department of War, mak­ing clear that we sup­port all law­ful uses of AI for na­tional se­cu­rity aside from the two nar­row ex­cep­tions above. To the best of our knowl­edge, these ex­cep­tions have not af­fected a sin­gle gov­ern­ment mis­sion to date.

We held to our ex­cep­tions for two rea­sons. First, we do not be­lieve that to­day’s fron­tier AI mod­els are re­li­able enough to be used in fully au­tonomous weapons. Allowing cur­rent mod­els to be used in this way would en­dan­ger America’s warfight­ers and civil­ians. Second, we be­lieve that mass do­mes­tic sur­veil­lance of Americans con­sti­tutes a vi­o­la­tion of fun­da­men­tal rights.

Designating Anthropic as a sup­ply chain risk would be an un­prece­dented ac­tion—one his­tor­i­cally re­served for US ad­ver­saries, never be­fore pub­licly ap­plied to an American com­pany. We are deeply sad­dened by these de­vel­op­ments. As the first fron­tier AI com­pany to de­ploy mod­els in the US gov­ern­men­t’s clas­si­fied net­works, Anthropic has sup­ported American warfight­ers since June 2024 and has every in­ten­tion of con­tin­u­ing to do so.

We be­lieve this des­ig­na­tion would both be legally un­sound and set a dan­ger­ous prece­dent for any American com­pany that ne­go­ti­ates with the gov­ern­ment.

No amount of in­tim­i­da­tion or pun­ish­ment from the Department of War will change our po­si­tion on mass do­mes­tic sur­veil­lance or fully au­tonomous weapons. We will chal­lenge any sup­ply chain risk des­ig­na­tion in court.

What this means for our cus­tomers

Secretary Hegseth has im­plied this des­ig­na­tion would re­strict any­one who does busi­ness with the mil­i­tary from do­ing busi­ness with Anthropic. The Secretary does not have the statu­tory au­thor­ity to back up this state­ment. Legally, a sup­ply chain risk des­ig­na­tion un­der 10 USC 3252 can only ex­tend to the use of Claude as part of Department of War con­tracts—it can­not af­fect how con­trac­tors use Claude to serve other cus­tomers.

* If you are an in­di­vid­ual cus­tomer or hold a com­mer­cial con­tract with Anthropic, your ac­cess to Claude—through our API, claude.ai, or any of our prod­ucts—is com­pletely un­af­fected.

* If you are a Department of War con­trac­tor, this des­ig­na­tion—if for­mally adopted—would only af­fect your use of Claude on Department of War con­tract work. Your use for any other pur­pose is un­af­fected.

Our sales and sup­port teams are stand­ing by to an­swer any ques­tions you may have.

We are deeply grate­ful to our users, and to the in­dus­try peers, pol­i­cy­mak­ers, vet­er­ans, and mem­bers of the pub­lic who have voiced their sup­port in re­cent days. Thank you. Above all else, our pri­or­i­ties are to pro­tect our cus­tomers from any dis­rup­tion caused by these ex­tra­or­di­nary events and to work with the Department of War to en­sure a smooth tran­si­tion—for them, for our troops, and for American mil­i­tary op­er­a­tions.

Microsoft’s ag­gres­sive AI push in Windows 11 through 2025 brought upon them­selves the ti­tle Microslop. Unfortunately for the com­pany, it’s every­where on so­cial me­dia, and there is­n’t a way to stop the spread, un­less, of course, it’s their own Discord server.

Windows Latest was first to no­tice that the word “Microslop” was ac­tively fil­tered in the of­fi­cial Microsoft Copilot Discord server.

As you can see in the above screen­shot, any mes­sage con­tain­ing the term is au­to­mat­i­cally blocked, and users see a mod­er­a­tion no­tice stat­ing that the mes­sage in­cludes a phrase con­sid­ered in­ap­pro­pri­ate by server rules.

The ex­treme back­lash that Microsoft has to en­dure every day on so­cial me­dia is noth­ing short of ex­tra­or­di­nary. Surely the com­pany is re­spon­si­ble for this fall­out, as they pri­or­i­tized AI more than the sta­bil­ity of the OS that it needs to run on.

Copilot, be­ing the most vis­i­ble face of that ef­fort, has nat­u­rally be­come the scape­goat. So when a nick­name like “Microslop” starts trend­ing across so­cials, it was only a mat­ter of time be­fore it reached of­fi­cial chan­nels as well.

Windows Latest found that send­ing a mes­sage with the word “Microslop” in­side the of­fi­cial Copilot Discord server im­me­di­ately trig­gers an au­to­mated mod­er­a­tion re­sponse. The mes­sage does not ap­pear pub­licly in the chan­nel, and in­stead, only the sender sees the no­tice stat­ing that the con­tent is blocked by the server be­cause it con­tains a phrase deemed in­ap­pro­pri­ate.

Of course, the in­ter­net rarely leaves things there. Shortly af­ter Windows Latest posted about Copilot Discord server block­ing Microslop on X, users be­gan ex­per­i­ment­ing in the server with vari­a­tions such as “Microsl0p” us­ing a zero in­stead of the let­ter “o.”

Predictably, those ver­sions slipped past the fil­ter. Keyword mod­er­a­tion has al­ways been some­thing of a cat-and-mouse game, and this is­n’t any dif­fer­ent.

What started as a sim­ple key­word fil­ter quickly snow­balled into users de­lib­er­ately test­ing the re­stric­tion and post­ing vari­a­tions of the blocked term. Accounts that in­cluded “Microslop” in their mes­sages first got banned from mes­sag­ing again.

Not long af­ter, ac­cess to parts of the server was re­stricted, with mes­sage his­tory hid­den and post­ing per­mis­sions dis­abled for many users.

Microsoft’s brand im­age might al­ready be at an all-time low, and even as the com­pany an­nounced plans to fix Windows 11 with per­for­mance im­prove­ments and less AI, the soft­ware gi­ant can’t risk get­ting more ha­tred to­wards their ex­pen­sive in­vest­ment in Copilot, es­pe­cially since Microsoft’s head start in AI is start­ing to be over­shad­owed by com­peti­tors like Anthropic, Google, OpenAI, and maybe even Apple in the near fu­ture.

Back in December 2024, when Microsoft in­vited users to join the Copilot Discord server through an of­fi­cial X post, the re­sponse was largely cu­ri­ous and en­thu­si­as­tic, with peo­ple will­ing to ex­plore the AI’s ca­pa­bil­i­ties.

Since then, sen­ti­ment around Copilot and its us­age has dropped along­side Microsoft’s broader AI push across Windows 11. At its pre­sent state, Copilot has added some ca­pa­bil­i­ties that are gen­uinely use­ful in day-to-day work­flows. Features like con­nec­tors can pull con­tex­tual data from ser­vices such as Google Contacts, Gmail, and Outlook to re­trieve phone num­bers or email ad­dresses di­rectly in­side Copilot, some­thing com­pet­ing tools like Gemini have not yet cracked, as we found in our de­tailed test­ing.

It re­mains to be seen if this episode fades as a mi­nor com­mu­nity mod­er­a­tion story or be­comes an­other chap­ter in Microsoft’s com­pli­cated re­la­tion­ship with its AI roll­out.

Microsoft reached out to Windows Latest with an of­fi­cial state­ment not­ing why the com­pany had to lock the Copilot Discord server.

According to a Microsoft spokesper­son, the Copilot Discord server was re­cently tar­geted by co­or­di­nated spam in­tended to dis­rupt con­ver­sa­tions. The com­pany says the ac­tiv­ity ini­tially ap­peared as large vol­umes of repet­i­tive or ir­rel­e­vant mes­sages, prompt­ing mod­er­a­tors to in­tro­duce tem­po­rary key­word fil­ters to slow the in­flux.

“The Copilot Discord chan­nel has re­cently been tar­geted by spam­mers at­tempt­ing to dis­rupt and over­whelm the space with harm­ful con­tent not re­lated to Copilot. Initially, this spam con­sisted of walls of text, so we added tem­po­rary fil­ters for se­lect terms to slow this ac­tiv­ity. We have since made the de­ci­sion to tem­porar­ily lock down the server while we work to im­ple­ment stronger safe­guards to pro­tect users from this harm­ful spam and help en­sure the server re­mains a safe, us­able space for the com­mu­nity,” a Microsoft spokesper­son told Windows Latest.

Microsoft added that block­ing terms such as “Microslop,” along with other phrases in the spam cam­paign, was not in­tended as a per­ma­nent pol­icy but a short-term mit­i­ga­tion while the com­pany man­ages to put ad­di­tional pro­tec­tions in place.