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AMD acquires AI chip startup Taalas to boost inference performance by etching models into silicon

www.theregister.com

In AMDs lat­est bid to up­set Nvidia’s dom­i­nance in AI hard­ware, the House of Zen has ac­quired AI chip com­pany Taalas, which bakes model weights di­rectly into sil­i­con in a process that promises to boost in­fer­ence per­for­mance by an or­der of mag­ni­tude or more.

The deal, an­nounced at mar­ket close on Thursday, ap­pears to be framed in much the same con­text as Nvidia’s $20 bil­lion li­cens­ing deal with Groq last December: make high-per­for­mance premium” in­fer­ence ser­vices prized for AI agents, like code as­sis­tants, faster and cheaper to run. AMD did­n’t dis­close the terms of the deal, but from what we un­der­stand, this is an ac­tual ac­qui­si­tion rather than an ac­qui­hire.

Founded in 2023 and based in Toronto, Taalas’ ap­proach to in­fer­ence is rad­i­cally dif­fer­ent from con­ven­tional GPUs or the dataflow ar­chi­tec­tures that un­der­pin Groq LPUs or Cerebras’ wafer­scale ac­cel­er­a­tors.

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A model-spe­cific in­te­grated cir­cuit

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The star­tup’s chips don’t rely on HBM to store the model weights but rather etch them di­rectly into the sil­i­con. In a sense, Taalas’ chips are re­ally model-spe­cific in­te­grated cir­cuits or MSICs.

Perhaps more im­por­tantly, Taalas’ tech is­n’t just con­cep­tual. In February, the startup re­vealed its first test chip fabbed on TSMCs 6nm process tech, which it called the HC1. Initial bench­marks saw the chip serve Meta’s Llama 3.1 8B at a blis­ter­ing 16,960 to­kens a sec­ond — when an­nounced last February, that was 48x faster than Nvidia’s GPUs and 8.5x faster than Cerebras’ ac­cel­er­a­tors.

While Llama 3.1 is an­cient by to­day’s stan­dards, hav­ing made its de­but all the way back in mid 2024, the ret­i­cle-sized chip was re­ally in­tended to prove the con­cept.

Taalas has been in­cred­i­bly se­cre­tive about how its chips ac­tu­ally work, but we know its proces­sors are com­prised of two main re­gions: the mask-ROM re­call fab­ric where model weights are etched, and the SRAM re­call fab­ric where KV caches and fine-tun­ing adapters are stored.

For its sec­ond-gen HC2 chip due out this sum­mer, Taalas aims to boost pa­ra­me­ter count to 20 bil­lion pa­ra­me­ters. That might not sound like much, but just like with GPUs for larger mod­els, weights are sim­ply dis­trib­uted across mul­ti­ple ac­cel­er­a­tors us­ing pipeline par­al­lelism.

At 20 bil­lion pa­ra­me­ters per chip, you’d need just 50 ac­cel­er­a­tors to sup­port a tril­lion-pa­ra­me­ter model, and AMD just so hap­pens to have a rack-scale com­pute plat­form and in-house sys­tem de­sign team that can com­fort­ably ac­com­mo­date that.

That’s quite a bit more space and power ef­fi­cient than Nvidia’s re­cently un­veiled LPX sys­tems, which would need a few dozen GPUs and at least 2,000 Groq LPUs to serve the same model.

From what we un­der­stand, AMD in­tends to pair its Instinct-based Helios racks with chips based on Taalas’ tech, which im­plies a dis­ag­gre­gated ar­chi­tec­ture where com­pute-heavy prompt pro­cess­ing is done on GPUs while to­ken gen­er­a­tion is of­floaded to Taalas-based ac­cel­er­a­tors.

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It’s also pos­si­ble that AMD could adopt a sort of tick-tock ca­dence in which cus­tomers ini­tially de­ploy and val­i­date mod­els on Instinct ac­cel­er­a­tors and, once they’re sat­is­fied with them, tran­si­tion to Taalas ac­cel­er­a­tors. We can only spec­u­late at this point, but here’s what AMDs SVP of AI, Vamsi Boppana, had to say about it in a canned state­ment:

AMD is build­ing a full-stack AI plat­form that gives cus­tomers the flex­i­bil­ity to de­ploy the right com­pute so­lu­tions for every AI work­load.”

You bet­ter re­ally love that model

While the tech is blaz­ing fast, if you had­n’t al­ready fig­ured it out, it comes with a pretty sub­stan­tial down­side. Once the chips are de­ployed you’re stuck with that model. Any change big­ger than some­thing like a LoRA adapter is go­ing to re­quire a re-spin of the chips, which is not only ex­pen­sive but time-con­sum­ing.

Nearly four years into the AI boom, new mod­els are rolling out on a nearly monthly ba­sis. In or­der to ben­e­fit from Taalas’ tech, AMDs cus­tomers are go­ing to have to be re­ally sure about their choice of mod­els, which will be eas­ier for some than oth­ers.

However, if the startup is to be be­lieved, the sit­u­a­tion is­n’t quite as bad as it sounds. While new mod­els will re­quire a re-spin, it does­n’t re­quire start­ing over from scratch. Instead, just two lay­ers of metal need to be changed, which is a lot cheaper and less time-con­sum­ing.

With that said, we strongly sus­pect this tech will largely be de­ployed by AI model devs, their in­fra­struc­ture providers, and a hand­ful of in­fer­ence providers. In an in­ter­view with our sib­ling site The Next Platform in February, the com­pany sug­gested that etch­ing a mod­el’s weights into sil­i­con is 100x less ex­pen­sive than train­ing a fron­tier model.

AMD is cer­tainly in a po­si­tion to ne­go­ti­ate those deals. OpenAI, Anthropic, and Meta are all ma­jor Instinct cus­tomers. Given the close work­ing re­la­tion­ship be­tween the model houses and the chip de­signer, it would­n’t be sur­pris­ing to see a GPT or Claude de­ployed on a com­bi­na­tion of Taalas and in­stinct ac­cel­er­a­tors.

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The tech also has im­pli­ca­tions for model de­vel­op­ment. One of the ways de­vel­op­ers have cut down on hal­lu­ci­na­tions is by trad­ing time for ac­cu­racy. The tech­nique, called test-time scal­ing, is quite sim­ple in prac­tice, and in­volves al­low­ing a model to think” for longer be­fore re­spond­ing.

One draw­back of test-time scal­ing is that it con­sumes sub­stan­tially more to­kens, which makes it ex­pen­sive, and means users have to wait longer for the chat­bot, code as­sis­tant, or agent to re­spond. If AMDs Taalas buy can drive down the cost per to­ken and boost out­put speeds by 10x or 20x, model devs may opt to ex­tend the rea­son­ing time even fur­ther.

In any case, we may not have to wait long to see just how Taalas fits into AMDs broader vi­sion. Subject to reg­u­la­tory ap­proval, the deal is ex­pected to close in the fourth quar­ter. ®

Trump administration to pay German firm to halt US wind projects

www.bbc.com

6 hours ago

Rorey Bosotti

Getty Images

German en­ergy com­pany RWE has said it will aban­don its off­shore wind pro­jects in the US af­ter reach­ing a $1.2bn (£892m) pay­out deal with President Donald Trump’s Department of the Interior (DoI).

RWE said that it will now rein­vest the sum into con­ven­tional gas pro­jects, in­clud­ing $900m (£669m) in a liq­ue­fied nat­ural gas (LNG) ex­port ter­mi­nal pro­ject in Louisiana.

After care­ful con­sid­er­a­tion, it was de­ter­mined there is no path for­ward to per­mit these pro­jects in the US for the fore­see­able fu­ture,” the com­pany said in a state­ment.

Trump has de­rided wind power for years and of­ten uses his rally speeches to rail against ugly” tur­bines.

RWE said it has agreed to re­lin­quish its leases off the California and Louisiana coasts as well as in the New York Bight.

Overall, the German firm plans to in­vest ap­prox­i­mately €17bn (£14.5bn; $19.6bn) in the US over the next six years to grow its gen­er­a­tion ca­pac­ity”.

Interior Secretary Doug Burgum said in a state­ment posted on X that Americans de­serve an en­ergy sys­tem built on com­mon sense and not one de­pen­dent on costly sub­si­dies”.

We wel­come RWEs agree­ment and vol­un­tary in­vest­ment in pro­jects that strengthen our na­tion’s en­ergy se­cu­rity,” he added.

The deal is the lat­est the Trump ad­min­is­tra­tion has reached this year as Trump, a vo­cal sup­porter of the fos­sil fuel in­dus­try, con­tin­ues his push to halt off­shore wind pro­jects.

Days af­ter his re­turn to of­fice, he said we’re not go­ing to do the wind thing” and called them big, ugly wind­mills” that were dan­ger­ous to wildlife.

And this week, he said that any coun­try with wind­mills is a loser”.

In March 2026, the DoI reached a deal with TotalEnergies putting an end to the French com­pa­ny’s off­shore wind pro­jects in the US.

Instead, the firm agreed to reroute in­vest­ment to build a LNG plant in Texas and to de­velop upstream con­ven­tional oil” in the Gulf of Mexico.

The ad­min­is­tra­tion signed a sim­i­lar $129m (£96m) agree­ment with Charlotte-based Duke Energy last month in ex­change for the ter­mi­na­tion of the com­pa­ny’s off­shore wind lease in the Carolina Long Bay area.

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New Mexico court orders Meta to pay $567m over harms to children’s mental health

www.theguardian.com

A New Mexico court has or­dered Meta, the par­ent com­pany of Facebook, to pay $567m into a fund aimed at re­dress­ing ad­verse men­tal health im­pacts from the so­cial me­dia gi­ant’s plat­forms.

The Thursday rul­ing comes as a part of the sec­ond phase of a land­mark trial the so­cial me­dia gi­ant lost in March. At the time, a jury found that the com­pany know­ingly harmed chil­dren’s men­tal health and con­cealed what it knew about child sex­ual ex­ploita­tion on its plat­forms, and im­posed the max­i­mum penalty: a $375m fine.

The rul­ing on Thursday is an ad­di­tion to that fine, bring­ing the to­tal amount Meta is re­spon­si­ble for to $942m.

Judge Bryan Biedscheid said the bulk of the money — $420m — would be used for treat­ment ser­vices for young peo­ple in New Mexico. The rest will go to­ward aware­ness and pre­ven­tion, screen­ing ser­vices and other costs over the next five years.

The March trial was the first to find Meta li­able for acts com­mit­ted on its plat­form, and fol­lowed a 2023 Guardian in­ves­ti­ga­tion that re­vealed how Facebook and Instagram had be­come mar­ket­places for child sex traf­fick­ing.

Several for­mer Meta mod­er­a­tors told the Guardian there were in­stances where they flagged harm­ful con­tent re­lated to child groom­ing, but the cases were not es­ca­lated.

In the sec­ond phase of the trial, which be­gan in May, pros­e­cu­tors had asked the judge to im­pose fun­da­men­tal changes at Meta aimed at rein­ing in ad­dic­tive fea­tures, im­prov­ing age ver­i­fi­ca­tion, and pre­vent­ing child sex­ual ex­ploita­tion through de­fault pri­vacy set­tings and closer over­sight.

The judge has also or­dered other changes, in­clud­ing that Facebook and Instagram build ban­ner and in­for­ma­tional screens to clearly ex­plain its pro­tec­tion fea­tures, best prac­tices, and tools to ad­dress in­ap­pro­pri­ate com­ment.

Those changes, and an ed­u­ca­tional cam­paign in New Mexico, would be sub­ject to re­view by the state.

The court said fed­eral chil­dren’s pri­vacy laws pre­vent Meta from ap­ply­ing age-ver­i­fi­ca­tion tools to chil­dren un­der 13. The court also noted that or­der­ing ver­i­fi­ca­tion of chil­dren’s ages only for Meta and not other so­cial me­dia com­pa­nies would be inequitable and un­duly in­ju­ri­ous” to the com­pany.

Instead, the court or­dered Meta to con­tinue to im­prove its age-as­sur­ance tools in New Mexico, which in­clude us­ing ar­ti­fi­cial in­tel­li­gence to de­ter­mine peo­ple’s age based on sig­nals such as who their friends are and what types of con­tent they post and con­sume. Meta must also at­tempt to de­velop a ded­i­cated under-13-years-of-age pre­dic­tion model” in the next two years.

Additionally, Meta should also re­quest proof of age for Instagram and Facebook users in New Mexico it es­ti­mates to be un­der 13. If it de­ter­mines a user to be un­der 13, or un­der 18 but with­out be­ing able to es­ti­mate a spe­cific age, Meta must treat the user as un­der 13 or un­der 18 un­til the user ver­i­fies their age.

The com­pany must also part­ner with schools or a child safety or­ga­ni­za­tion to cre­ate a re­port­ing por­tal where school staff can flag users who may be un­der 13. And it must delete per­sonal in­for­ma­tion it has col­lected on users un­der 13. The court also or­dered Meta to re­port on its progress twice a year on how it is com­ply­ing with the abate­ment mea­sures.

New Mexico’s at­tor­ney gen­eral, Raúl Torrez, hailed the judg­ment.

This case has al­ways been about pro­tect­ing chil­dren, stand­ing up for fam­i­lies, and mak­ing sure that one of the world’s largest tech­nol­ogy com­pa­nies can­not profit from prac­tices that en­dan­ger young peo­ple with­out con­se­quence,” Torrez said in a state­ment.

Today’s de­ci­sion is a vic­tory for every par­ent who has wor­ried about what so­cial me­dia is do­ing to their child and every child who de­serves to grow up safer on­line.”

A Meta spokesper­son said in a state­ment to the Guardian on Thursday that the com­pany disagrees with the rul­ing” and planned to ap­peal.

We work hard to keep peo­ple safe on our plat­forms and have been trans­par­ent about the chal­lenges of iden­ti­fy­ing and re­mov­ing bad ac­tors and harm­ful con­tent. We re­main con­fi­dent in our record of pro­tect­ing teens on­line and will con­tinue to de­fend our­selves against claims that mis­rep­re­sent the facts,” the state­ment con­tin­ued.

The to­tal amount Meta is re­spon­si­ble for is a small frac­tion of its an­nual profit, which was about $60bn in 2025. Still, it rep­re­sents an­other set­back for Meta as it faces a wave of ac­cu­sa­tions from fam­i­lies of chil­dren harmed by so­cial me­dia.

The com­pany is em­broiled in a slew of law­suits in other US states over its al­leged harms to young peo­ple. In a trial in Tennessee that be­gan last month, the state has ac­cused the com­pany of dis­re­gard­ing in­ter­nal warn­ings about teenagers’ com­pul­sive use of Instagram, which has been linked to eat­ing dis­or­ders and de­pres­sion, among other ad­verse ef­fects. Meta is also gear­ing up for a trial later this month in fed­eral court in Oakland, California.

What comes out of New Mexico is the first of many domi­noes that could fall for Meta, said Laura Edelson, an as­sis­tant pro­fes­sor at Northeastern University fo­cus­ing on so­cial me­dia and cy­ber­se­cu­rity.

America is not go­ing to pass a law that bans so­cial me­dia,” Edelson said. But if com­pa­nies like Meta know they’re caus­ing harm to users by prod­uct de­sign, the states are fi­nally find­ing a way to rein this in.”

Taste Is All That's Left

notashelf.dev

For most of the time I have been writ­ing soft­ware—which, com­pared to some of my read­ers, is not that long—I have come to be­lieve that the hard thing was mak­ing the thing ex­ist at all. This is not nec­es­sar­ily a new be­lief of mine. I started through the dif­fi­cult and te­dious ex­pe­ri­ence of build­ing web ap­pli­ca­tions and watch­ing them crash and burn.

You had an idea, and be­tween the idea and the work­ing pro­gram stood hours— some­times weeks—of typ­ing, of read­ing man­u­als, of mis­un­der­stand­ing an API and slowly grind­ing the wrong ver­sion into a slightly less wrong one. Production was the wall. Everyone hit it. It was the thing that sep­a­rated the peo­ple who could from the peo­ple who could only talk about it.

That wall is gone. Or rather, it has been rented out. 1 You can de­scribe a thing now and re­ceive a plau­si­ble ver­sion of it much faster than you could have typed the first func­tion by hand. The idea-to-ar­ti­fact dis­tance, the one that de­fined the en­tire craft, has col­lapsed to al­most noth­ing.

Though, you have not been warned about one lit­tle thing: the value you built by learn­ing to climb that wall does not dis­ap­pear. It sim­ply… moves.

The Bar Went Somewhere

We keep ask­ing whether the ma­chines are any good. Even yes­ter­day I had a rather short dis­cus­sion on whether they are re­li­able. While we have con­cluded that they are reliably un­re­li­able,” I think it is the wrong ques­tion. The out­put is good enough, gen­er­ally any­way, and that is the prob­lem—most of it, at least. Good enough is a sol­vent. It dis­solves the rea­son to do bet­ter. For as long as mak­ing things was ex­pen­sive, the ex­pense did quiet work on our be­half. It ra­tioned out­put. It meant that any­thing which ex­isted had, at min­i­mum, sur­vived the cost of be­ing made. You know what I mean? Effort was a fil­ter, and like all fil­ters it was in­vis­i­ble un­til it was re­moved. Nobody shipped a thou­sand mediocre vari­a­tions of a fea­ture, be­cause a thou­sand mediocre vari­a­tions cost a thou­sand times as much as one. The eco­nom­ics en­forced a floor.

That floor is now gone. And when the floor goes, the thing that de­cides what is worth keep­ing is no longer the cost of mak­ing it. It is you. Your judge­ment. The ver­dict you reach when you look at three plau­si­ble ver­sions of the same func­tion and know, some­how, that two of them are wrong. That ver­dict has a name we are slightly em­bar­rassed to use in en­gi­neer­ing cir­cles, be­cause it sounds soft and un­fal­si­fi­able and vaguely aris­to­cratic.

Taste.

What Taste Actually Is

I want to be care­ful here, be­cause taste” is do­ing a lot of work and it is easy to hear it as dec­o­ra­tion. A mat­ter of pref­er­ences. Whether you like your braces on the same line.

That is not what I mean.

Robert Pirsig spent an en­tire book cir­cling a word he re­fused to de­fine, be­cause he had con­vinced him­self that defin­ing it would kill it. He called it Quality. His ar­gu­ment, roughly, was that you recog­nise Quality be­fore you can ex­plain it— that the recog­ni­tion comes first and the rea­sons ar­rive later, if they ar­rive at all. A good me­chanic knows the en­gine is wrong be­fore he knows why. A good ed­i­tor feels the sen­tence sag be­fore she can name the clause that failed. 2

Taste is that. It is the com­pressed, word­less ver­dict you reach faster than you can jus­tify. It is par­tially 3 the no, again” you say to your­self with to­tal con­vic­tion and no avail­able ar­gu­ment. And it is not soft at all. It is the hard­est thing in the work, be­cause it is the only part that was never me­chan­i­cal to be­gin with.

Everything down­stream of the ver­dict—the typ­ing, the syn­tax, the wiring of one li­brary to an­other—was al­ways, in prin­ci­ple, au­tomat­able. We just had not got­ten around to it. The ver­dict was the thing the ma­chine could not do for you.

It still can­not. It can only make the ab­sence of it cheaper to ig­nore.

Taste Is Downstream of Friction

Here is the un­com­fort­able mech­a­nism, the part I would rather not think about.

Where did your taste come from?

No re­ally. Where did it come from, was it ge­netic? Were you ab­ducted by aliens one day that force­fully in­jected your sense of taste into your mind and wiped your mem­ory?

I’ll tell you this much: it’s not from con­sum­ing good work. You can­not read a hun­dred ex­cel­lent pro­grams and ab­sorb the judge­ment by os­mo­sis, any more than you can be­come a chef by eat­ing in good restau­rants. Taste is built the slow, stu­pid, hu­mil­i­at­ing way: you make some­thing bad, you are forced to live with it, it fails in front of you, and some part of you files the fail­ure away. Then you do it again. The palate is an ac­cre­tion of your own mis­takes, sat with long enough to sting.

The fric­tion was not an ob­sta­cle to de­vel­op­ing taste. The fric­tion was the cur­ricu­lum. Every wall I cursed while climb­ing it was, with­out my notic­ing, teach­ing me which walls were worth climb­ing. The cost that ra­tioned my out­put also ed­u­cated my judge­ment, be­cause pay­ing the cost over and over is how you learn what is worth pay­ing for.

So watch what hap­pens when you re­move the fric­tion for the next per­son.

They can gen­er­ate flu­ently from the first day. They will never ship the bad ver­sion and be forced to sit in it, be­cause the tool of­fers them a com­pe­tent ver­sion for free. They will climb no wall, and so they will learn noth­ing from the climb. They will ar­rive at flu­ency hav­ing skipped the en­tire ap­pren­tice­ship that flu­ency used to re­quire—and they will be more pro­duc­tive than I was at their stage, by every met­ric any­one both­ers to mea­sure.

They will be able to make any­thing, and un­able to tell (or stop to think) whether they should. Not nec­es­sar­ily through any fault of their own. We re­moved the part of the process that would have taught them, and we called it progress, and by most de­f­i­n­i­tions it was.

The Economics Are Against You

Suppose you have taste. Suppose you paid the full price and you can feel the sag in the sen­tence and the wrong­ness in the func­tion.

Congratulations! You now ship at ex­actly the same speed as the per­son who can­not.

This is the quiet cru­elty of the sit­u­a­tion and I do not have a com­fort­ing way to phrase it. Taste is slow. It says no, again.” It sends the plau­si­ble thing back be­cause plau­si­ble is not the same as right, and while it is do­ing that, the per­son with­out it has al­ready shipped, closed the ticket, and moved on. The mar­ket timed you both with the same stop­watch and it did not see the dif­fer­ence. It can­not see the dif­fer­ence. Taste does not show up in the diff.

It is un­mea­sur­able, un­cred­itable, and in­vis­i­ble on a dash­board. You can­not point to the dis­as­ters it pre­vented, be­cause pre­vented dis­as­ters leave no trace. You carry a cost—the ex­tra hours, the re­turned work, the re­fusal to ship the fine thing when the right thing is still reach­able—and you carry it alone, against an in­cen­tive gra­di­ent that runs the other way.

Harry Frankfurt once drew a care­ful line be­tween the liar and the bull­shit­ter. The liar at least re­spects the truth enough to work against it. The bull­shit­ter does not care about the truth in ei­ther di­rec­tion; he is sim­ply in­dif­fer­ent to it. 4 Slop is the bull­shit of en­gi­neer­ing. It is not wrong, ex­actly. It is in­dif­fer­ent. It works, it passes, it is fine. And fine, pro­duced with­out fric­tion and shipped with­out judge­ment, is now the most abun­dant sub­stance in the field.

The Flood

Sturgeon said it decades ago, de­fend­ing sci­ence fic­tion from a critic: ninety per­cent of every­thing is crap. 5 He meant it as con­so­la­tion. Ninety per­cent of every field is bad, so do not judge the field by its bulk. But the ra­tio was never the dan­ger. It held steady for cen­turies. What held the flood back was that pro­duc­ing the crap cost some­thing. Bad nov­els still took a year to write. Bad soft­ware still took a month to build. The ninety per­cent was throt­tled at the source by the sheer in­con­ve­nience of mak­ing it.

We have now re­moved the throt­tle and left the ra­tio in­tact. Ninety per­cent of an in­fi­nite out­put is still in­fi­nite. The sig­nal did not get worse. The noise be­came free, and free noise rises with­out limit, and every real thing you make now ar­rives into a sea of plau­si­ble noth­ing that looks, at a glance, ex­actly like it.

Which means the scarce act is no longer mak­ing. It is choos­ing. Deciding what, out of the end­less gen­er­ated plau­si­ble, de­serves to ex­ist and be kept. Curation was a mi­nor virtue when things were ex­pen­sive to make. It is the whole game when they are free.

What Deserves to Exist

There is a rhyme here, if you go back far enough.

When the fac­to­ries came, they could sud­denly make every­thing—cheaply, uni­formly, by the thou­sand. 6 And a hand­ful of peo­ple, Morris and Ruskin among them, looked at the flood of cheap iden­ti­cal goods and asked a ques­tion that sounded, at the time, sen­ti­men­tal and doomed: not can we make this, but should this be made, and made this way, by no one, for no rea­son but that the ma­chine could.

They lost the eco­nomic ar­gu­ment. They were al­ways go­ing to. But they were right about the thing that mat­tered, which is that when the mak­ing be­comes free, the choos­ing be­comes the craft. The hu­man ques­tion stops be­ing can I build it” and be­comes does this de­serve to ex­ist”—and that ques­tion was al­ways the more se­ri­ous one. We just could not af­ford to ask it while we were busy climb­ing walls.

I keep com­ing back to this turn. It is not con­so­la­tion but a cor­rec­tion.

The tools did not de­value the skill. They stripped away every­thing that was not the skill. All those years I thought the work was the pro­duc­tion—the typ­ing, the wiring, the wall—and pro­duc­tion turns out to have been the toll. The tax you paid for the priv­i­lege of ex­er­cis­ing judge­ment. Now the tax is close to zero, and what is left stand­ing, ex­posed, with nowhere to hide, is the judge­ment it­self. The part that was al­ways the point.

Taste did not be­come less valu­able. It be­came the only thing that was ever scarce. We just could not see it, be­cause it was buried un­der all the labour it used to take to get to it.

A Defense, Then

So here is the de­fense, such as it is.

Anyone can gen­er­ate now. That race is over and it was never worth win­ning. The dis­ci­pline that re­mains—the one the ma­chine can­not rent you and the dash­board can­not see—is in the dele­tion. In the no, again.” In car­ing about the dif­fer­ence be­tween fine and right when noth­ing ex­ter­nal will ever re­ward you for car­ing, when the mar­ket has timed you and shrugged, when the plau­si­ble ver­sion sits there work­ing and pass­ing and ask­ing only to be let through.

Refuse it any­way. Not out of nos­tal­gia for the fric­tion—I do not miss the wall, and I will not pre­tend to. Refuse it be­cause the ver­dict is the last part of this that is ac­tu­ally yours. It is un­mea­sur­able, which means no one can take it from you by mea­sur­ing it. It is unau­tomat­able, which means no one can sell it back to you. It is slow, which in a field op­ti­mis­ing for in­fi­nite speed is start­ing to look less like a hand­i­cap and more like the only re­main­ing ev­i­dence that a hu­man was here and gave a damn.

Everyone can make any­thing. Almost no one can tell you what is worth mak­ing.

That was al­ways the harder skill. It is now the only one left.

Post-Mortem

On Language

This post reads off as AI slop. You said it, I see it. I’m sin­cerely sorry for pub­lish­ing some­thing that has al­lowed you to feel this way. If my word means any­thing to you, I would like to as­sure you that this post was not au­thored by a LLM. Nor was it sto­ry­boarded, re­viewed, checked, etc. by a LLM. Some read­ers have pointed out that peo­ple do not speak this way. That is cor­rect. I do not speak, nor usu­ally write, like this and this post will go down as my not-the-proud­est, how­ever, I take your crit­i­cism to heart—al­though not per­son­ally—and strive to im­prove.

I do write like this some­times. The short sen­tences, the re­ver­sals, the one-word lines—all of it. It’s just the way it is. A LLM writes that way too, be­cause it was trained on the same es­says I grew up read­ing, so me do­ing it badly and a ma­chine do­ing it look about the same to you on the page. That says some­thing about my writ­ing. It says noth­ing about who wrote it.

So let me be plain about it: Claude was not here. No LLM wrote this—not a sen­tence of it, nor was it out­lined, drafted, re­viewed, checked, etc. by one, and there is no prompt be­hind it ei­ther. It is just me, writ­ing worse than usual. I will write the next one plainer. Next time, write to me. I too am a per­son be­hind this screen.

In Appreciation

Be as­sured that I have read all of your com­ments—the good and the bad. As with my pre­vi­ous post that reached Hacker News, I’ve re­ceived many in­sight­ful ones. Whether it was peo­ple shar­ing their ex­pe­ri­ence, or neg­a­tive com­ments with the de­cency to crit­i­cize with sub­stance, I have learned some­thing new to­day—for which I am thank­ful.

On Taste

I do not care about your taste. If this posts has of­fended you, then it tells more about you than it does about me. As they say, throw an in­sult on the ground, its owner will pick it up”—this one I am not sorry about.

Footnotes

There is an older word for this arrange­ment. You no longer own the means of pro­duc­tion; you rent them, by the to­ken, from who­ever trained the model. An English teacher of mine—a com­mit­ted so­cial­ist—would have had the whole thing di­a­grammed on the board be­fore I fin­ished the sen­tence: the worker sep­a­rated first from his tools, then from the labour it­self, then sold a fric­tion­less sub­sti­tute for the labour and told this was lib­er­a­tion. He would also, I sus­pect, have been the first to note the one part of the process that can­not be rented back to you, be­cause it never left your head. Draw your own con­clu­sions about which part that is. ↩

There is an older word for this arrange­ment. You no longer own the means of pro­duc­tion; you rent them, by the to­ken, from who­ever trained the model. An English teacher of mine—a com­mit­ted so­cial­ist—would have had the whole thing di­a­grammed on the board be­fore I fin­ished the sen­tence: the worker sep­a­rated first from his tools, then from the labour it­self, then sold a fric­tion­less sub­sti­tute for the labour and told this was lib­er­a­tion. He would also, I sus­pect, have been the first to note the one part of the process that can­not be rented back to you, be­cause it never left your head. Draw your own con­clu­sions about which part that is. ↩

Zen and the Art of Motorcycle Maintenance, if you have not read it. It is about a great deal more than mo­tor­cy­cles, and al­most noth­ing about Zen. ↩

Zen and the Art of Motorcycle Maintenance, if you have not read it. It is about a great deal more than mo­tor­cy­cles, and al­most noth­ing about Zen. ↩

Someone will (and has!) ob­ject that taste is not only the no, again”—that com­press­ing it to a ver­dict makes the work sound like lean­ing back in a chair and re­ject­ing things while the ma­chine does the labour. The ob­jec­tion is fair, which is why the sen­tence above says par­tially. The no, again” is the short­hand, not the whole of it. The ver­dict lives in­side the work—in the data struc­tures that have to ac­tu­ally scale, in the pri­vacy you have to ac­tu­ally mean, in the func­tion you rewrite a fourth time be­cause the third was merely fine. Taste is not the chair you lean back in. It is the rea­son you lean for­ward into all the rest of it. ↩

Someone will (and has!) ob­ject that taste is not only the no, again”—that com­press­ing it to a ver­dict makes the work sound like lean­ing back in a chair and re­ject­ing things while the ma­chine does the labour. The ob­jec­tion is fair, which is why the sen­tence above says par­tially. The no, again” is the short­hand, not the whole of it. The ver­dict lives in­side the work—in the data struc­tures that have to ac­tu­ally scale, in the pri­vacy you have to ac­tu­ally mean, in the func­tion you rewrite a fourth time be­cause the third was merely fine. Taste is not the chair you lean back in. It is the rea­son you lean for­ward into all the rest of it. ↩

On Bullshit. Frankfurt, 2005, though the es­say is older. Yes, that is the real ti­tle. ↩

On Bullshit. Frankfurt, 2005, though the es­say is older. Yes, that is the real ti­tle. ↩

Now called Sturgeon’s Law, or Sturgeon’s Revelation. He put it in print in his book-re­view col­umn in Venture Science Fiction, March 1958, af­ter years of us­ing it to re­but crit­ics who judged the whole genre by its worst ex­am­ples. ↩

Now called Sturgeon’s Law, or Sturgeon’s Revelation. He put it in print in his book-re­view col­umn in Venture Science Fiction, March 1958, af­ter years of us­ing it to re­but crit­ics who judged the whole genre by its worst ex­am­ples. ↩

A fair push­back I got: this makes the fac­tory sound like it fell out of the sky, some mag­i­cal good enough” that ar­rived one day fully formed. It did not. The fac­tory is it­self a mon­u­ment of taste and labour—some­one tuned every tol­er­ance and is still in there tun­ing them, and the same is true of the model you are rent­ing by the to­ken. So I am not say­ing the box is magic. I am say­ing the box moved the taste up a level: out of the mak­ing, and into the de­cid­ing of what is worth mak­ing at all. Which is the whole ar­gu­ment. ↩

A fair push­back I got: this makes the fac­tory sound like it fell out of the sky, some mag­i­cal good enough” that ar­rived one day fully formed. It did not. The fac­tory is it­self a mon­u­ment of taste and labour—some­one tuned every tol­er­ance and is still in there tun­ing them, and the same is true of the model you are rent­ing by the to­ken. So I am not say­ing the box is magic. I am say­ing the box moved the taste up a level: out of the mak­ing, and into the de­cid­ing of what is worth mak­ing at all. Which is the whole ar­gu­ment. ↩

AI Model & API Providers Analysis | Artificial Analysis

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Quake – 30th Anniversary Update

slayersclub.bethesda.net

By: id Software

To cel­e­brate the 30th Anniversary of Quake, we have collaborated with MachineGames to cre­ate a new episode, Dawn of the Machine, now avail­able as a free up­date to Quake.

🆕WHAT’S NEW

⚙️DAWN OF THE MACHINE

Celebrating 30 years of Quake, the award-win­ning team at Ma­chineGames—in col­lab­o­ra­tion with id Software—returns with Dawn of the Machine, a bru­tal new episode build­ing on their crit­i­cally ac­claimed work on Dimension of the Machine and Dimensions of the Past. Delivering fe­ro­cious com­bat, labyrinthine level de­sign, and night­mar­ish realms that twist re­al­ity be­yond recog­ni­tion, it pushes the legacy of the genre-defin­ing first-per­son shooter even fur­ther—hon­or­ing one of gam­ing’s most en­dur­ing icons.

🏃‍♂️‍➡️END THE NIGHTMARE. 😶‍🌫️ESCAPE THE ILLUSION.

Ranger is trapped in a di­men­sion of end­less il­lu­sion—re­liv­ing the same vi­o­lent cy­cles for what feels like life­times, dy­ing thou­sands of times in a fu­tile at­tempt to es­cape. Wearied but un­bro­ken, he has heard ru­mor of The Nightmare Machine.

Beyond the hordes of mon­sters—twisted by an eter­nity in the El­der realms—lies the Machine. It is be­lieved its de­struc­tion will shat­ter the il­lu­sion, fi­nally break­ing the loop.

🆓FREE FOR QUAKE OWNERS

Dawn of the Machine is avail­able as a free up­date for Quake own­ers on XBOX Series X/S, XBOX One, Microsoft PC Store, Game Pass, PC Game Pass, Steam, PlayStation 5, PlayStation 4, Nintendo Switch 2 (via back­wards com­pat­i­bil­ity), and Nintendo Switch ver­sions of Quake. This ex­pan­sive new episode fea­tures 19 all-new maps across a co­he­sive cam­paign, along­side a brand-new sound­track, hid­den se­crets, a ded­i­cated episode hub, and an all-new death­match map.

👹NEW ENEMY AND ⚔️WEAPON VARIANTS

Face deadly new twists on fa­mil­iar foes, in­clud­ing the Rocket Ogre, Demo Dog, Blood Shambler, and more. Each vari­ant in­tro­duces lethal new be­hav­iours—from over­whelm­ing fire­power to ex­plo­sive death traps—forc­ing you to re­think every en­counter. Expand your ar­se­nal with bru­tal vari­ants in­spired by clas­sic Quake ex­pan­sions, in­clud­ing the Super Axe—unleashing light­ning on suc­ces­sive strikes—and the Laser Cannon, fir­ing ric­o­chet­ing pro­jec­tiles that tear through en­e­mies from every an­gle.

♻️REPLAYABLE EPISODE LOOP

Time folds back on it­self in a unique loop­ing struc­ture, where each re­turn re­shapes the ex­pe­ri­ence. Runes un­lock pre­vi­ously sealed paths, draw­ing you back through fa­mil­iar spaces now al­tered with new routes, en­coun­ters, and se­crets wait­ing to be dis­cov­ered. Persistent health and ammo up­grades found through­out the realm en­sure each loop makes you stronger, in­tro­duc­ing a new layer of pro­gres­sion to Quake.

🎭EXPECT THE UNEXPECTED

Reality is never sta­ble. Shift be­tween di­men­sions to solve puz­zles and nav­i­gate the world, or find hid­den se­crets scat­tered through­out the realms. Face en­e­mies that rise again or trans­form af­ter death, and ex­pe­ri­ence en­coun­ters where the rules change with­out warn­ing—forc­ing you to adapt or be over­run.

🔒id VAULT

Browse a be­hind-the-scenes gallery of de­vel­op­ment as­sets and un­used con­tent. Ex­plore playable maps, in­clud­ing some lev­els from the ear­li­est stages of Quake’s de­vel­op­ment

🏆NEW ACHIEVEMENTS

Three new achieve­ments are avail­able to earn while play­ing Dawn of the Machine

🤫CHEATS MENU

Access the new Cheats menu at any time in sin­gle player games to help you through a tough area or just ex­plore lev­els with­out fear of en­e­mies

🛠️FIXES

ALL PLATFORMS

Improved in­ter­po­la­tion. This reduces in­put la­tency and lessens oc­cur­rences where the cam­era would vi­su­ally fall be­hind your weapon and weapon ef­fects

Fixed an is­sue where the cam­era would in­ter­po­late be­tween po­si­tion changes that were too large to pos­si­bly be stairs (silent tele­porters)

Re-added weapon bob­bing ef­fects when view bob­bing is dis­abled

Weapon bob can now be turned on or off sep­a­rately from view bob

Removed shadow cast­ing from Hell Knight pro­jec­tiles to im­prove vi­su­als in its ranged at­tack

Shadow cast­ing lights from en­e­mies are now capped to im­prove per­for­mance in scenes with lots of Enforcers fir­ing weapons

Reduced mem­ory us­age from menus

Improved font ren­der­ing when us­ing the larger ac­ces­si­ble type­face

PLAYSTATION 5

Fixed weapons in Scourge of Ar­magon not hav­ing con­troller vi­bra­tion or con­troller speaker sounds

👷MODDING CHANGES

Localization strings are now stored in the Quake PAK, in­stead of out­side the game data in the KPF file. Third party en­gines that pre­vi­ously read strings from the KPF file will need to be up­dated to read from the PAK file and should no longer need to load the KPF file at all

Mods can op­tion­ally add new mod-spe­cific lo­cal­iza­tion by over­rid­ing lo­cal­iza­tion/​loc_(lan­guage)_mod.txt in their PAK files

❓FAQs

I al­ready own Quake. How do I ac­cess the new episode, Dawn of the Machine?

Which platforms is Dawn of the Machine available in Quake?

Is Dawn of the Machine avail­able on the Epic Games Store or GOG versions of Quake?

I play Quake on GOG or the Epic Games Store. Why do I see a Disconnected from servers” mes­sage when in­vited to play Dawn of the Machine maps with play­ers on Steam or con­sole?

Known Issue: Quake play­ers host­ing a Dawn of the Machine on­line mul­ti­player match on Switch will dis­con­nect from the lobby on level tran­si­tions, forc­ing other play­ers to drop too.

*If you’re still ex­pe­ri­enc­ing is­sues, please holler at our amaz­ing Customer Service team

July jobs report: US economy shed 23,000 jobs, a sudden reversal

www.nbcnews.com

The U.S. econ­omy shed 23,000 jobs in July, a sign that the la­bor mar­ket had not sta­bi­lized af­ter four months of pos­i­tive growth.

The un­em­ploy­ment rate ticked down only slightly to 4.1%.

Economists sur­veyed by Dow Jones were ex­pect­ing the re­lease to show 83,000 added roles, more than June’s 57,000.

In yet an­other trou­bling sign for the la­bor mar­ket, the Bureau of Labor Statistics said that it re­vised down the prior two months by a com­bined 103,000. May’s jobs to­tal was cut by 66,000 to 129,000 to­tal jobs added, while June’s to­tal was low­ered by 37,000 to a to­tal gain of 57,000.

The hir­ing data comes against a com­pli­cated eco­nomic back­drop. The U.S. war with Iran con­tin­ues with­out any kind of agree­ment to fully re­open the Strait of Hormuz. As a re­sult, en­ergy prices re­main el­e­vated, even if they are off their high­est lev­els of the year.

The change in work­ers’ av­er­age hourly earn­ings also fell well short of econ­o­mists’ ex­pec­ta­tions. Wage growth was 0.1% from June, or 3.2% from one year ago. That’s also be­low in­fla­tion, which was 3.5% in its most re­cent read­ing.

That’s the num­ber that many Americans are fo­cused on right now,” Heather Long, chief econ­o­mist at Navy Federal Credit Union, told NBC News. Long pointed out that 3.2% was the low­est wage growth has been in five years. At the same time, in­fla­tion is heat­ing back up again.”

Economists had been ex­pect­ing wages to con­tinue pac­ing at 3.5% from a year ago.

The la­bor mar­ket is stalling again,” Long said, also call­ing the re­port bleak.”

Long also pointed to an­other trou­bling data point: The la­bor force par­tic­i­pa­tion rate in July was the low­est since February 2021, a sign that work­ers are drop­ping out of the work­force. It’s pretty shock­ing,” she said. Over two mil­lion peo­ple have left the la­bor force since November.”

The mag­ni­tude of the pay­roll miss sug­gests the la­bor mar­ket may be los­ing mo­men­tum and can no longer be con­sid­ered the pil­lar of strength,” said Allianz in­vest­ment strate­gist Charlie Ripley.

The av­er­age price of reg­u­lar gaso­line also re­mains high, at $4.04 per gal­lon as of Friday morn­ing, up 36% since Feb. 28, when the Iran war be­gan. Inflation re­mains well above the Federal Reserve’s 2% tar­get at 3.5%. Wages are strug­gling to keep pace.

The BLS said em­ploy­ment con­tracted the most in local gov­ern­ment ed­u­ca­tion,” which de­clined by 50,000 roles, likely re­flect­ing teach­ers dur­ing sum­mer break. It also flagged a con­trac­tion of 19,000 roles in the re­tail in­dus­try. The fi­nan­cial in­dus­try shed 14,000 roles.

The leisure and hos­pi­tal­ity in­dus­try also con­tracted by 40,000 jobs. Economists watch this fig­ure closely be­cause a sig­nif­i­cant loss at ho­tels and restau­rants could be an early warn­ing sign of a shift in con­sumer spend­ing.

In July, em­ploy­ment in health care con­tin­ued its up­ward trend,” the BLS said, not­ing a gain of 22,000 jobs. But it said, that was a slower pace than the av­er­age monthly gain over the prior 12 months.”

The agen­cy’s data also showed a 5,000 pay­roll gain in the man­u­fac­tur­ing sec­tor in July and an ad­di­tional 22,000 roles in con­struc­tion. These bright spots come as the AI data cen­ter boom has ben­e­fited some in­dus­tries, but deeply di­vided many com­mu­ni­ties where the cen­ters are lo­cated.

Employment showed lit­tle change” in July in the min­ing, oil & gas, trans­porta­tion and pro­fes­sional & busi­ness ser­vices sec­tors, ac­cord­ing to BLS.

Stocks rose af­ter the re­port, as in­vestors who were con­cerned the Federal Reserve would raise in­ter­est rates breathed a sigh of re­lief. The S&P 500 jumped 0.5% and the Nasdaq Composite in­dex in­creased 1%.

The Russell 2000, which tracks small and medium size firms which can be more sen­si­tive to rate changes, rose 0.9%.

Bond yields dropped, with the 10-year U.S. Treasury yield falling to around 4.6%. That Treasury bond specif­i­cally dri­ves the di­rec­tion of con­sumer lend­ing rates, such as for mort­gages, credit cards and per­sonal loans.

Friday’s re­port likely eases some pres­sure on the Federal Reserve, which had been widely ex­pected to hike the fed­eral funds rate — po­ten­tially as soon as September.

Before the re­port, the fu­tures mar­ket in­di­cated the odds of a September rate hike were over 50%. After Friday’s jobs num­bers were re­leased, those odds fell to about 40%.

openai.com

The Tree Whisperer of São Paulo Who Greened a Piece of the City’s Concrete Jungle

thursd.com

The sprawl­ing me­trop­o­lis of São Paulo, a city of roughly 12 mil­lion, is one of the largest not just in the Southern Hemisphere, but glob­ally. Here, con­crete tow­ers pierce the smoggy sky, and hordes of peo­ple nav­i­gate end­less streets of gray; a con­crete jun­gle, one would call it. But one man dared to dream of the city in shades of green. Helio da Silva, a re­tired food in­dus­try ex­ec­u­tive, spent over two decades qui­etly chang­ing his cor­ner of Brazil’s largest city, not armed with much.

Dubbed Crazy Helio’ by skep­tics, this 73-year-old re­tiree, equipped with a lit­tle more than his be­lief in the power of trees, has by him­self planted more than 40,000 trees, trans­form­ing the once crime-rid­den waste­land into the mag­nif­i­cent Tiquatira Linear Park. How did he do it? Determination and an idea that oth­ers even felt bor­dered on in­san­ity.

An Idea Born From Despair

In November 2003, as Helio took his reg­u­lar morn­ing walks with his wife, Leda, in their neigh­bor­hood in the East Zone of São Paulo, what they saw was not in­spir­ing. It was heart­break­ing: a 3.2-kilometer stretch of de­graded land along the Tiquatira stream, lit­tered with garbage and fre­quented by drug users and deal­ers. The area, wedged be­tween two busy av­enues, had be­come a sym­bol of ur­ban de­cay—a for­got­ten cor­ner of a city that seemed to have lost its con­nec­tion to na­ture.

Helio, orig­i­nally from the small town of Promissão, about 500 kilo­me­ters from São Paulo, had moved to the big city decades ear­lier seek­ing op­por­tu­nity. But walk­ing through this des­o­late land­scape now, he felt obliged to give some­thing back to the city that had wel­comed him.

Helio da Silva:

I wanted to leave a legacy to the city that hosted me. I started and never stopped.”

I wanted to leave a legacy to the city that hosted me. I started and never stopped.”

Through re­search, he dis­cov­ered that the re­gion had once been part of the Atlantic Forest, which is one of Brazil’s most bio­di­verse ecosys­tems. He be­lieved that if he planted na­tive species, the soil would rec­og­nize them and vice versa, quite like some­thing etched in mem­ory. This un­der­stand­ing of the land’s eco­log­i­cal mem­ory is what guided him in plant­ing the park lo­cated in São Paulo’s Penha neigh­bor­hood.

The Making of an Urban Forest

Helio did not wait for per­mis­sion or fan­fare; he dove in with grit, armed with his sav­ings and a sin­gle seed from a ma­jes­tic je­quitibá tree—a sym­bol of the Atlantic Forest’s re­silience—he be­gan in that same for­saken spot, and bought some 200 Atlantic Forest saplings with his own money, spend­ing 800 Brazilian re­als at nurs­eries in Limeira.

Each plant­ing was pre­cise yet in­ti­mate: he’d dig a mod­est hole, snug­gle in a cut­ting or sapling, and nur­ture it with wa­ter and care, spend­ing about ten min­utes per tree. He chose di­verse species, over 170 in to­tal, blend­ing na­tive gi­ants with fruit-bear­ers like figs and peaches to in­vite wildlife. Every week­end be­came sa­cred for him, a rit­ual where he’d prune branches, com­post fallen leaves, and gen­er­ally tend the trees.

His rou­tine in­volved walk­ing among his trees, oc­ca­sion­ally stop­ping to hug a trunk or point out what he called families of trees from great-grand­fa­ther to great-grand­son’. He also car­ried photo al­bums doc­u­ment­ing the trans­for­ma­tion of the land and even mur­mured en­cour­age­ments to his grow­ing charges in hushed tones, lest passersby re­vive the crazy one’ la­bel that dogged his early days.

But his path was not smooth. Early on, a lo­cal busi­ness­man bull­dozed his fledg­ling plants, eras­ing weeks of work in a heart­beat. The lo­cal busi­nesses feared that the trees would in­ter­fere with their op­er­a­tions. But he bought twice as many saplings and planted them again. When those, too, were de­stroyed, he planted even more. Cynics mocked him, and the soli­tude weighed heav­ily—no vol­un­teers at first, just him against the el­e­ments. He poured in his own money, av­er­ag­ing around $7,000 a year, sourc­ing cut­tings from nurs­eries and wild spots with­out a dime from grants.

Yet it all paid off. By 2007, with 5,000 trees stand­ing tall and an im­pres­sive 88% sur­vival rate, the city took no­tice, of­fi­cially dub­bing it Tiquatira Linear Park—São Paulo’s first of its kind. Stretching 3.2 kilo­me­ters long and 100 me­ters wide, it con­tains over 40,000 trees from 160 dif­fer­ent species. The mu­nic­i­pal en­dorse­ment pro­tected this grow­ing for­est and le­git­imized his grass­roots con­ser­va­tion ef­fort. This nod brought sub­tle al­lies: agron­o­mists of­fered tips, land­scap­ers shared ex­per­tise, and the mu­nic­i­pal­ity added paths, benches, and play­grounds.

Helio pressed on, hit­ting 25,000 trees by 2020 and sur­pass­ing 40,000 to­day, all while eye­ing a to­tal of 50,000. His ap­proach de­vel­oped from solo toil to a sub­tle pack. His pol­icy re­mained both sci­en­tific and per­sonal. He treated his trees like his chil­dren, pro­vid­ing them with proper care, wa­ter­ing, and pro­tec­tion. For every twelve trees he planted, one was a fruit-bear­ing species de­signed to at­tract birds and wildlife. This de­lib­er­ate ap­proach to bio­di­ver­sity has been suc­cess­ful—the park hosts more than 45 species of birds ac­cord­ing to mu­nic­i­pal records.

The Ripple Effects of This Urban Reforestation

Tiquatira Park to­day tells of the magic that Helio con­jured. What was once a bar­ren eye­sore now beats with life—a green cor­ri­dor where tem­per­a­tures dip no­tice­ably cooler than the sur­round­ing as­phalt jun­gle, of­fer­ing re­lief from São Paulo’s swel­ter­ing heat waves. Birds dart through the canopy, many re­turn­ing af­ter van­ish­ing from the area since the early 20th cen­tury.

Wildlife rus­tles in the un­der­growth, drawn by the fruit-laden branches, while the trees’ roots grip the soil, staving off ero­sion and soak­ing up 40% of heavy rains that once flooded nearby streets. Urban trees, es­sen­tially, have been doc­u­mented to ab­sorb rain­fall, with a sin­gle medium-sized tree ca­pa­ble of soak­ing up as much as 2,380 gal­lons of rain per year. In a city prone to flood­ing, this nat­ural in­fra­struc­ture helps pre­vent the dan­ger­ous runoff that can over­whelm drainage sys­tems.

For Helio, the ben­e­fits run deeper than ecol­ogy. The park has knit the com­mu­nity closer, turn­ing a dan­ger zone into a place where peo­ple take daily strolls, call­ing it a pleas­ant change. The park also ex­em­pli­fies how such spaces ed­u­cate the next gen­er­a­tion—en­vi­sion out­door li­braries where kids learn that plant­ing ideas mat­ters as much as dig­ging holes. Helio him­self finds joy in the daily tend­ing, a med­i­ta­tive prac­tice that keeps him en­er­getic. His in­vest­ment rip­ples out­ward: cleaner air eases the city’s pol­lu­tion woes, and the green space in­spires copy­cat pro­jects.

The Wider Idea of Urban Forests as Climate Solutions

Helio’s achieve­ment ex­em­pli­fies the great po­ten­tial of ur­ban green­ing ini­tia­tives. Scientific re­search con­sis­tently re­veals that ur­ban forests pro­vide many co-ben­e­fits be­yond car­bon se­ques­tra­tion. The men­tal health ben­e­fits alone are sub­stan­tial; imag­ine the men­tal balm. Studies show prox­im­ity to trees and na­ture cuts stress, anx­i­ety, and de­pres­sion while im­prov­ing cog­ni­tive func­tion. It also boosts cre­ativ­ity and nur­tures com­mu­nity bonds. Children in tree-rich neigh­bor­hoods show bet­ter aca­d­e­mic per­for­mance, and el­derly res­i­dents in ar­eas with higher tree cover re­port fewer de­pres­sive symp­toms.

Trees in ur­ban en­vi­ron­ments also pro­vide im­por­tant ecosys­tem ser­vices that di­rectly im­pact hu­man health and en­vi­ron­men­tal qual­ity, while ur­ban forests im­prove air qual­ity by fil­ter­ing pol­lu­tants like ni­tro­gen diox­ide, sul­fur diox­ide, and par­tic­u­late mat­ter. A sin­gle ma­ture ur­ban tree can ab­sorb be­tween 10 and 40 kilo­grams of car­bon diox­ide an­nu­ally while in­ter­cept­ing up to 4.5 kilo­grams of pol­lu­tants, in­clud­ing dust, soot, and smoke.

The bio­di­ver­sity restora­tion achieved at Tiquatira also shows how in­di­vid­ual ur­ban forests can be cru­cial habi­tat cor­ri­dors. The park’s suc­cess in at­tract­ing var­ied bird species speaks to why strate­gi­cally planted ur­ban forests can sup­port wildlife even in highly de­vel­oped ar­eas. This is par­tic­u­larly sig­nif­i­cant in São Paulo, where the orig­i­nal Atlantic Forest ecosys­tem has been largely de­stroyed by ur­ban ex­pan­sion.

From an eco­nomic per­spec­tive, ur­ban forests de­liver sig­nif­i­cant re­turns on in­vest­ment. Research shows that trees pro­vide air qual­ity im­prove­ments val­ued at mil­lions of dol­lars an­nu­ally, while their cool­ing ef­fects re­duce en­ergy con­sump­tion and as­so­ci­ated emis­sions. European stud­ies sug­gest that green­ing 35% of ur­ban sur­faces could re­duce build­ing cool­ing en­ergy de­mand by up to 92 ter­awatt-hours per year while pro­vid­ing eco­nomic ben­e­fits worth hun­dreds of bil­lions.

Trees also re­duce ur­ban tem­per­a­tures through evap­o­tran­spi­ra­tion and shad­ing. Vegetated ar­eas can cool the sur­round­ings by sev­eral de­grees Celsius. This nat­ural air con­di­tion­ing is es­pe­cially cru­cial as cities face in­creas­ingly se­vere heat­waves due to cli­mate change. Temperature reg­u­la­tion also helps re­duce ground-level ozone for­ma­tion, which typ­i­cally in­creases in hot weather.

Understanding the Science Behind Urban Forest Benefits

The sci­en­tific ev­i­dence sup­port­ing ur­ban re­for­esta­tion ini­tia­tives like Helio’s is enor­mous. Science proves that ur­ban trees di­rectly re­move air pol­lu­tion through de­po­si­tion on leaves, nee­dles, and bark, while in­di­rectly im­prov­ing air qual­ity by re­duc­ing en­ergy con­sump­tion in build­ings. The US Forest Service re­ports that ur­ban forests in the U.S re­move thou­sands of tons of ozone, gaseous air pol­lu­tion, and par­tic­u­late mat­ter an­nu­ally.

The cool­ing mech­a­nisms of ur­ban forests are par­tic­u­larly re­fined. Trees pro­vide shade that di­rectly re­duces sur­face tem­per­a­tures while re­leas­ing wa­ter va­por through tran­spi­ra­tion—es­sen­tially na­ture’s air con­di­tion­ing sys­tem. The cool­ing ef­fect helps check the ur­ban heat is­land ef­fect, where cities be­come sig­nif­i­cantly warmer than sur­round­ing rural ar­eas. Low ur­ban tem­per­a­tures have flow­ing ben­e­fits, in­clud­ing re­duced en­ergy de­mand for air con­di­tion­ing and slower ground-level ozone for­ma­tion.

Urban forests also pro­vide cru­cial hy­dro­log­i­cal ser­vices. Tree canopies in­ter­cept rain­fall, re­duc­ing flood risk while fil­ter­ing pol­lu­tants from stormwa­ter runoff be­fore it reaches wa­ter bod­ies; a nat­ural fil­tra­tion sys­tem that helps pro­tect wa­ter qual­ity while re­duc­ing the bur­den on mu­nic­i­pal drainage in­fra­struc­ture.

A Model for Urban Reforestation

Today, as São Paulo grap­ples with acute pol­lu­tion and ex­treme weather events linked to cli­mate change, Tiquatira Linear Park shows how cities can be reimag­ined as places where na­ture thrives along­side hu­man ac­tiv­ity. Every city has its de­graded spaces: for­got­ten river­banks, cor­ners where op­por­tu­nity awaits one valiant enough to no­tice it—and per­haps more im­por­tantly, green and nur­ture it.

Feature im­age by @parquetiquatirasp. Header im­age by @aquadrajornal. Video by @plantadordearvores_.

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