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Just Be Rich ūü§∑‚Äć‚ôāÔłŹ

No one wants to be the bad guy.

When nar¬≠ra¬≠tives be¬≠gin to shift and the once good guys are la¬≠belled as bad it‚Äôs not sur¬≠pris¬≠ing they Ô¨Āght back. They‚Äôll point to crit¬≠i¬≠cisms as ex¬≠ag¬≠ger¬≠a¬≠tions. Their faults as mis¬≠un¬≠der¬≠stand¬≠ings.

Today’s freshly or­dained bad guys are the in­vestors and CEOs of Silicon Valley.

Once cham¬≠pi¬≠oned as the Ô¨āag¬≠bear¬≠ers of in¬≠no¬≠va¬≠tion and de¬≠moc¬≠ra¬≠ti¬≠za¬≠tion, now they‚Äôre viewed as new ver¬≠sions of the mo¬≠nop¬≠o¬≠lies of old and they‚Äôre Ô¨Āght¬≠ing back.

The ti­tle of Paul Graham’s es­say, How People Get Rich Now, did­n’t pre­pare me for the real goal of his words. It’s less a tu­to­r­ial or analy­sis and more a thinly veiled at­tempt to ease con­cerns about wealth in­equal­ity.

What he fails to men­tion is that con­cerns about wealth in­equal­ity aren’t con­cerned with how wealth was gen­er­ated but rather the grow­ing wealth gap that has ac­cel­er­ated in re­cent decades. Tech has made star­tups both cheaper and eas­ier but only for a small per­cent­age of peo­ple. And when a se­lect group of peo­ple have an ad­van­tage that oth­ers don’t it’s com­pounded over time.

Paul paints a rosy pic¬≠ture but does¬≠n‚Äôt men¬≠tion that in¬≠comes for lower and mid¬≠dle-class fam¬≠i¬≠lies have fallen since the 80s. This golden age of en¬≠tre¬≠pre¬≠neur¬≠ship has¬≠n‚Äôt ben¬≠e¬≠Ô¨Āt¬≠ted the vast ma¬≠jor¬≠ity of peo¬≠ple and the in¬≠crease in the Gini co¬≠ef¬≠Ô¨Ā¬≠cient is¬≠n‚Äôt sim¬≠ply that more com¬≠pa¬≠nies are be¬≠ing started. The rich are get¬≠ting richer and the poor are get¬≠ting poorer.

And there we have it. The slight in­jec­tion of his true ide­ol­ogy rel­e­gated to the notes sec­tion and vague enough that some might ig­nore. But keep in mind this is the same guy who ar­gued against a wealth tax. His seem­ingly im­par­tial and log­i­cal writ­ing at­tempts to hide his true in­ten­tions.

Is this re­ally about how peo­ple get rich or why we should all be happy that peo­ple like PG are get­ting richer while tons of peo­ple and strug­gling to meet their ba­sic needs. Wealth in­equal­ity is just a rad­i­cal left fairy tale to vil­lainize the hard-work­ing 1%. We could all be rich too, it’s so much eas­ier now. Just pull your­self up by your boot­straps.

There’s no ques­tion that it’s eas­ier now than ever to start a new busi­ness and reach your mar­ket. The in­ter­net has had a de­moc­ra­tiz­ing ef­fect in this re­gard. But it’s also ob­vi­ous to any­one out­side the SV bub­ble that it’s still only ac­ces­si­ble to a small mi­nor­ity of peo­ple. Most peo­ple don’t have the safety net or men­tal band­width to even con­sider en­tre­pre­neur­ship. It is not a panacea for the masses.

But to use that fact to push the false claim that wealth in­equal­ity is solely due to more star­tups and not a real prob­lem says a lot. This es­say is less about how peo­ple get rich and more about why it’s okay that peo­ple like PG are get­ting rich. They’re bet­ter than the rich­est peo­ple of 1960. And we can join them. We just need to stop com­plain­ing and just be rich in­stead.

...

Read the original on keenen.xyz ¬Ľ

2 705 shares, 34 trendiness, words and minutes reading time

How People Get Rich Now

April 2021

Every year since 1982, Forbes mag­a­zine has pub­lished a list of the

rich­est Americans. If we com­pare the 100 rich­est peo­ple in 1982 to

the 100 rich­est in 2020, we no­tice some big dif­fer­ences.

In 1982 the most com­mon source of wealth was in­her­i­tance. Of the

100 rich­est peo­ple, 60 in­her­ited from an an­ces­tor. There were 10

du Pont heirs alone. By 2020 the num­ber of heirs had been cut in

half, ac­count­ing for only 27 of the biggest 100 for­tunes.

Why would the per­cent­age of heirs de­crease? Not be­cause in­her­i­tance

taxes in­creased. In fact, they de­creased sig­nif­i­cantly dur­ing this

pe­riod. The rea­son the per­cent­age of heirs has de­creased is not

that fewer peo­ple are in­her­it­ing great for­tunes, but that more

peo­ple are mak­ing them.

How are peo­ple mak­ing these new for­tunes? Roughly 3/4 by start­ing

com­pa­nies and 1/4 by in­vest­ing. Of the 73 new for­tunes in 2020, 56

de­rive from founders’ or early em­ploy­ees’ eq­uity (52 founders, 2

early em­ploy­ees, and 2 wives of founders), and 17 from man­ag­ing

in­vest­ment funds.

There were no fund man­agers among the 100 rich­est Americans in 1982.

Hedge funds and pri¬≠vate eq¬≠uity Ô¨Ārms ex¬≠isted in 1982, but none of

their founders were rich enough yet to make it into the top 100.

Two things changed: fund man­agers dis­cov­ered new ways to gen­er­ate

high re­turns, and more in­vestors were will­ing to trust them with

their money.

But the main source of new for­tunes now is start­ing com­pa­nies, and

when you look at the data, you see big changes there too. People

get richer from start­ing com­pa­nies now than they did in 1982, be­cause

the com­pa­nies do dif­fer­ent things.

In 1982, there were two dom­i­nant sources of new wealth: oil and

real es­tate. Of the 40 new for­tunes in 1982, at least 24 were due

pri­mar­ily to oil or real es­tate. Now only a small num­ber are: of

the 73 new for­tunes in 2020, 4 were due to real es­tate and only 2

to oil.

By 2020 the biggest source of new wealth was what are some­times

called ‚Äútech‚ÄĚ com¬≠pa¬≠nies. Of the 73 new for¬≠tunes, about 30 de¬≠rive

from such com­pa­nies. These are par­tic­u­larly com­mon among the rich­est

of the rich: 8 of the top 10 for­tunes in 2020 were new for­tunes of

this type.

Arguably it’s slightly mis­lead­ing to treat tech as a cat­e­gory.

Isn’t Amazon re­ally a re­tailer, and Tesla a car maker? Yes and no.

Maybe in 50 years, when what we call tech is taken for granted, it

won’t seem right to put these two busi­nesses in the same cat­e­gory.

But at the mo­ment at least, there is def­i­nitely some­thing they share

in com­mon that dis­tin­guishes them. What re­tailer starts AWS? What

car maker is run by some­one who also has a rocket com­pany?

The tech com­pa­nies be­hind the top 100 for­tunes also form a

well-dif­fer­en­ti­ated group in the sense that they’re all com­pa­nies

that ven­ture cap­i­tal­ists would read­ily in­vest in, and the oth­ers

mostly not. And there’s a rea­son why: these are mostly com­pa­nies

that win by hav­ing bet­ter tech­nol­ogy, rather than just a CEO who’s

re­ally dri­ven and good at mak­ing deals.

To that ex­tent, the rise of the tech com­pa­nies rep­re­sents a qual­i­ta­tive

change. The oil and real es­tate mag­nates of the 1982 Forbes 400

did­n’t win by mak­ing bet­ter tech­nol­ogy. They won by be­ing re­ally

dri­ven and good at mak­ing deals.

And in­deed, that way of

get­ting rich is so old that it pre­dates the Industrial Revolution.

The courtiers who got rich in the (nominal) ser­vice of European

royal houses in the 16th and 17th cen­turies were also, as a rule,

re­ally dri­ven and good at mak­ing deals.

People who don‚Äôt look any deeper than the Gini co¬≠ef¬≠Ô¨Ā¬≠cient look

back on the world of 1982 as the good old days, be­cause those who

got rich then did­n’t get as rich. But if you dig into how they

got rich, the old days don’t look so good. In 1982, 84% of the

rich­est 100 peo­ple got rich by in­her­i­tance, ex­tract­ing nat­ural

re­sources, or do­ing real es­tate deals. Is that re­ally bet­ter than

a world in which the rich­est peo­ple get rich by start­ing tech

com­pa­nies?

Why are peo­ple start­ing so many more new com­pa­nies than they used

to, and why are they get­ting so rich from it? The an­swer to the

Ô¨Ārst ques¬≠tion, cu¬≠ri¬≠ously enough, is that it‚Äôs mis¬≠phrased. We

should­n’t be ask­ing why peo­ple are start­ing com­pa­nies, but why

they’re start­ing com­pa­nies again.

In 1892, the New York Herald Tribune com­piled a list of all the

mil­lion­aires in America. They found 4047 of them. How many had

in¬≠her¬≠ited their wealth then? Only about 20% ‚ÄĒ less than the

pro­por­tion of heirs to­day. And when you in­ves­ti­gate the sources of

the new for­tunes, 1892 looks even more like to­day. Hugh Rockoff

found that “many of the rich­est … gained their ini­tial edge from

the new tech¬≠nol¬≠ogy of mass pro¬≠duc¬≠tion.‚ÄĚ

So it’s not 2020 that’s the anom­aly here, but 1982. The real ques­tion

is why so few peo­ple had got­ten rich from start­ing com­pa­nies in

1982. And the an­swer is that even as the Herald Tribune’s list was

be­ing com­piled, a wave of con­sol­i­da­tion

was sweep­ing through the

American econ­omy. In the late 19th and early 20th cen­turies,

Ô¨Ā¬≠nanciers like J. P. Morgan com¬≠bined thou¬≠sands of smaller com¬≠pa¬≠nies

into a few hun­dred gi­ant ones with com­mand­ing economies of scale.

By the end of World War II, as Michael Lind writes, “the ma­jor

sec­tors of the econ­omy were ei­ther or­ga­nized as gov­ern­ment-backed

car¬≠tels or dom¬≠i¬≠nated by a few oli¬≠gop¬≠o¬≠lis¬≠tic cor¬≠po¬≠ra¬≠tions.‚ÄĚ

In 1960, most of the peo­ple who start star­tups to­day would have

gone to work for one of them. You could get rich from start­ing your

own com­pany in 1890 and in 2020, but in 1960 it was not re­ally a

vi­able op­tion. You could­n’t break through the oli­gop­o­lies to get

at the mar­kets. So the pres­ti­gious route in 1960 was not to start

your own com­pany, but to work your way up the cor­po­rate lad­der at

an ex­ist­ing one.

Making every­one a cor­po­rate em­ployee de­creased eco­nomic in­equal­ity

(and every other kind of vari­a­tion), but if your model of nor­mal

...

Read the original on paulgraham.com ¬Ľ

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Introducing OpenSearch

Today, we are in­tro­duc­ing the OpenSearch pro­ject, a com­mu­nity-dri­ven, open source fork of Elasticsearch and Kibana. We are mak­ing a long-term in­vest­ment in OpenSearch to en­sure users con­tinue to have a se­cure, high-qual­ity, fully open source search and an­a­lyt­ics suite with a rich roadmap of new and in­no­v­a­tive func­tion­al­ity. This pro­ject in­cludes OpenSearch (derived from Elasticsearch 7.10.2) and OpenSearch Dashboards (derived from Kibana 7.10.2). Additionally, the OpenSearch pro­ject is the new home for our pre­vi­ous dis­tri­b­u­tion of Elasticsearch (Open Distro for Elasticsearch), which in­cludes fea­tures such as en­ter­prise se­cu­rity, alert­ing, ma­chine learn­ing, SQL, in­dex state man­age­ment, and more. All of the soft­ware in the OpenSearch pro­ject is re­leased un­der the Apache License, Version 2.0 (ALv2). We in­vite you to check out the code for OpenSearch and OpenSearch Dashboards on GitHub, and join us and the grow­ing com­mu­nity around this ef­fort.

We wel¬≠come in¬≠di¬≠vid¬≠u¬≠als and or¬≠ga¬≠ni¬≠za¬≠tions who are users of Elasticsearch, as well as those who are build¬≠ing prod¬≠ucts and ser¬≠vices based on Elasticsearch. Our goal with the OpenSearch pro¬≠ject is to make it easy for as many peo¬≠ple and or¬≠ga¬≠ni¬≠za¬≠tions as pos¬≠si¬≠ble to use OpenSearch in their busi¬≠ness, their prod¬≠ucts, and their pro¬≠jects. Whether you are an in¬≠de¬≠pen¬≠dent de¬≠vel¬≠oper, an en¬≠ter¬≠prise IT de¬≠part¬≠ment, a soft¬≠ware ven¬≠dor, or a man¬≠aged ser¬≠vice provider, the ALv2 li¬≠cense grants you well-un¬≠der¬≠stood us¬≠age rights for OpenSearch. You can use, mod¬≠ify, ex¬≠tend, em¬≠bed, mon¬≠e¬≠tize, re¬≠sell, and of¬≠fer OpenSearch as part of your prod¬≠ucts and ser¬≠vices. We have also pub¬≠lished per¬≠mis¬≠sive us¬≠age guide¬≠lines for the OpenSearch trade¬≠mark, so you can use the name to pro¬≠mote your of¬≠fer¬≠ings. Broad adop¬≠tion ben¬≠e¬≠Ô¨Āts all mem¬≠bers of the com¬≠mu¬≠nity.

We plan to re¬≠name our ex¬≠ist¬≠ing Amazon Elasticsearch Service to Amazon OpenSearch Service. Aside from the name change, cus¬≠tomers can rest as¬≠sured that we will con¬≠tinue to de¬≠liver the same great ex¬≠pe¬≠ri¬≠ence with¬≠out any im¬≠pact to on¬≠go¬≠ing op¬≠er¬≠a¬≠tions, de¬≠vel¬≠op¬≠ment method¬≠ol¬≠ogy, or busi¬≠ness use. Amazon OpenSearch Service will of¬≠fer a choice of open source en¬≠gines to de¬≠ploy and run, in¬≠clud¬≠ing the cur¬≠rently avail¬≠able 19 ver¬≠sions of ALv2 Elasticsearch (7.9 and ear¬≠lier, with 7.10 com¬≠ing soon) as well as new ver¬≠sions of OpenSearch. We will con¬≠tinue to sup¬≠port and main¬≠tain the ALv2 Elasticsearch ver¬≠sions with se¬≠cu¬≠rity and bug Ô¨Āxes, and we will de¬≠liver all new fea¬≠tures and func¬≠tion¬≠al¬≠ity through OpenSearch and OpenSearch Dashboards. The Amazon OpenSearch Service APIs will be back¬≠ward com¬≠pat¬≠i¬≠ble with the ex¬≠ist¬≠ing ser¬≠vice APIs to elim¬≠i¬≠nate any need for cus¬≠tomers to up¬≠date their cur¬≠rent client code or ap¬≠pli¬≠ca¬≠tions. Additionally, just as we did for pre¬≠vi¬≠ous ver¬≠sions of Elasticsearch, we will pro¬≠vide a seam¬≠less up¬≠grade path from ex¬≠ist¬≠ing Elasticsearch 6.x and 7.x man¬≠aged clus¬≠ters to OpenSearch.

We are not alone in our com­mit­ment to OpenSearch. Organizations as di­verse as Red Hat, SAP, Capital One, and Logz.io have joined us in sup­port.

‚ÄúAt Red Hat, we be¬≠lieve in the power of open source, and that com¬≠mu¬≠nity col¬≠lab¬≠o¬≠ra¬≠tion is the best way to build soft¬≠ware,‚ÄĚ said Deborah Bryant, Senior Director, Open Source Program OfÔ¨Āce, Red Hat. ‚ÄúWe ap¬≠pre¬≠ci¬≠ate Amazon‚Äôs com¬≠mit¬≠ment to OpenSearch be¬≠ing open and we are ex¬≠cited to see con¬≠tin¬≠ued sup¬≠port for open source at Amazon.‚ÄĚ

‚ÄúSAP cus¬≠tomers ex¬≠pect a uni¬≠Ô¨Āed, busi¬≠ness-cen¬≠tric and open SAP Business Technology Platform,‚ÄĚ said Jan Schaffner, SVP and Head of BTP Foundational Plane. ‚ÄúOur ob¬≠serv¬≠abil¬≠ity strat¬≠egy uses Elasticsearch as a ma¬≠jor en¬≠abler. OpenSearch pro¬≠vides a true open source path and com¬≠mu¬≠nity-dri¬≠ven ap¬≠proach to move this for¬≠ward.‚ÄĚ

‚ÄúAt¬†Capital¬†One, we take an open source-Ô¨Ārst ap¬≠proach to soft¬≠ware de¬≠vel¬≠op¬≠ment, and have seen that we‚Äôre able to in¬≠no¬≠vate more quickly by lever¬≠ag¬≠ing the tal¬≠ents of de¬≠vel¬≠oper com¬≠mu¬≠ni¬≠ties world¬≠wide,‚ÄĚ said Nureen D‚ÄôSouza, Sr. Manager for¬†Cap¬≠i¬≠tal¬†One‚Äôs Open Source Program OfÔ¨Āce. ‚ÄúWhen our teams chose to use Elasticsearch, the free¬≠doms pro¬≠vided by the Apache-v2.0 li¬≠cense was cen¬≠tral to that choice. We‚Äôre very sup¬≠port¬≠ive of the OpenSearch pro¬≠ject, as it will give us greater con¬≠trol and au¬≠ton¬≠omy over our data plat¬≠form choices while re¬≠tain¬≠ing the free¬≠dom¬†af¬≠forded by an open source li¬≠cense.‚ÄĚ

‚ÄúAt Logz.io we have a deep be¬≠lief that com¬≠mu¬≠nity dri¬≠ven open source is an en¬≠abler for in¬≠no¬≠va¬≠tion and pros¬≠per¬≠ity,‚ÄĚ said Tomer Levy, co-founder and CEO of Logz.io. ‚ÄúWe have the high¬≠est com¬≠mit¬≠ment to our cus¬≠tomers and the com¬≠mu¬≠nity that re¬≠lies on open source to en¬≠sure that OpenSearch is avail¬≠able, thriv¬≠ing, and has a strong path for¬≠ward for the com¬≠mu¬≠nity and led by the com¬≠mu¬≠nity. We have made a com¬≠mit¬≠ment to work with AWS and other mem¬≠bers of the com¬≠mu¬≠nity to in¬≠no¬≠vate and en¬≠able every or¬≠ga¬≠ni¬≠za¬≠tion around the world to en¬≠joy the ben¬≠e¬≠Ô¨Āts of these crit¬≠i¬≠cal open source pro¬≠jects.‚ÄĚ

We are truly ex¬≠cited about the po¬≠ten¬≠tial for OpenSearch to be a com¬≠mu¬≠nity en¬≠deavor, where any¬≠one can con¬≠tribute to it, in¬≠Ô¨āu¬≠ence it, and make de¬≠ci¬≠sions to¬≠gether about its fu¬≠ture. Community de¬≠vel¬≠op¬≠ment, at its best, lets peo¬≠ple with di¬≠verse in¬≠ter¬≠ests have a di¬≠rect hand in guid¬≠ing and build¬≠ing prod¬≠ucts they will use; this re¬≠sults in prod¬≠ucts that meet their needs bet¬≠ter than any¬≠thing else. It seems we aren‚Äôt alone in this in¬≠ter¬≠est; there‚Äôs been an out¬≠pour¬≠ing of ex¬≠cite¬≠ment from the com¬≠mu¬≠nity to drive OpenSearch, and ques¬≠tions about how we plan to work to¬≠gether.

We’ve taken a num­ber of steps to make it easy to col­lab­o­rate on OpenSearch’s de­vel­op­ment. The en­tire code base is un­der the Apache 2.0 li­cense, and we don’t ask for a con­trib­u­tor li­cense agree­ment (CLA). This makes it easy for any­one to con­tribute. We’re also keep­ing the code base well-struc­tured and mod­u­lar, so every­one can eas­ily mod­ify and ex­tend it for their own uses.

Amazon is the pri¬≠mary stew¬≠ard and main¬≠tainer of OpenSearch to¬≠day, and we have pro¬≠posed guid¬≠ing prin¬≠ci¬≠ples for de¬≠vel¬≠op¬≠ment that make it clear that any¬≠one can be a val¬≠ued stake¬≠holder in the pro¬≠ject. We in¬≠vite every¬≠one to pro¬≠vide feed¬≠back and start con¬≠tribut¬≠ing to OpenSearch. As we work to¬≠gether in the open, we ex¬≠pect to un¬≠cover the best ways to col¬≠lab¬≠o¬≠rate and em¬≠power all in¬≠ter¬≠ested stake¬≠hold¬≠ers to share in de¬≠ci¬≠sion mak¬≠ing. Cultivating the right gov¬≠er¬≠nance ap¬≠proach for an open source pro¬≠ject re¬≠quires thought¬≠ful de¬≠lib¬≠er¬≠a¬≠tion with the com¬≠mu¬≠nity. We‚Äôre con¬≠Ô¨Ā¬≠dent that we can Ô¨Ānd the best ap¬≠proach to¬≠gether over time.

Getting OpenSearch to this point re¬≠quired sub¬≠stan¬≠tial work to re¬≠move Elastic com¬≠mer¬≠cial li¬≠censed fea¬≠tures, code, and brand¬≠ing. The OpenSearch re¬≠pos we made avail¬≠able to¬≠day are a foun¬≠da¬≠tion on which every¬≠one can build and in¬≠no¬≠vate. You should con¬≠sider the ini¬≠tial code to be at an al¬≠pha stage ‚ÄĒ it is not com¬≠plete, not thor¬≠oughly tested, and not suit¬≠able for pro¬≠duc¬≠tion use. We are plan¬≠ning to re¬≠lease a beta in the next few weeks, and ex¬≠pect it to sta¬≠bi¬≠lize and be ready for pro¬≠duc¬≠tion by early sum¬≠mer (mid-2021).

The code base is ready, how­ever, for your con­tri­bu­tions, feed­back, and par­tic­i­pa­tion. To get go­ing with the re­pos, grab the source from GitHub and build it your­self:

Once you’ve cloned the re­pos, see what you can do. These re­pos are un­der ac­tive con­struc­tion, so what works or does­n’t work will change from mo­ment to mo­ment. Some tasks you can do to help in­clude:

* See what you can get run­ning in your en­vi­ron­ment.

* Debug any is¬≠sues you do Ô¨Ānd and sub¬≠mit PRs.

* Take a look at the con­tribut­ing guides (OpenSearch, OpenSearch Dashboards) and de­vel­oper guides (OpenSearch, OpenSearch Dashboards) to make sure they are clear and un­der­stand­able to you.

Once you have OpenSearch and OpenSearch Dashboards run­ning:

* Test any cus­tom plu­g­ins or code you use and re­port what breaks.

* Run a sam­ple work­load and get in touch if it be­haves dif­fer­ently from your pre­vi­ous setup.

* Connect it to any ex¬≠ter¬≠nal tools‚Ää/‚Ääli¬≠braries and Ô¨Ānd out what works as ex¬≠pected.

We en¬≠cour¬≠age every¬≠body to en¬≠gage with the OpenSearch com¬≠mu¬≠nity. We have launched a com¬≠mu¬≠nity site at opensearch.org. Our fo¬≠rums are where we col¬≠lab¬≠o¬≠rate and make de¬≠ci¬≠sions. We wel¬≠come pull re¬≠quests through GitHub to Ô¨Āx bugs, im¬≠prove per¬≠for¬≠mance and sta¬≠bil¬≠ity, or add new fea¬≠tures. Keep an eye out for ‚Äúhelp-wanted‚ÄĚ tags on is¬≠sues.

We’re so thrilled to have you along with us on this jour­ney, and we can’t wait to see where it leads. We look for­ward to be­ing part of a grow­ing com­mu­nity that dri­ves OpenSearch to be­come soft­ware that every­one wants to in­no­vate on and use.

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Read the original on aws.amazon.com ¬Ľ

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Use console.log() like a pro

Using con­sole.log() for JavaScript de­bug­ging is the most com­mon prac­tice among de­vel­op­ers. But, there is more…

The¬†console ob¬≠ject pro¬≠vides ac¬≠cess to the browser‚Äôs de¬≠bug¬≠ging con¬≠sole. The speciÔ¨Ācs of how it works vary from browser to browser, but there is a¬†de facto¬†set of fea¬≠tures that are typ¬≠i¬≠cally pro¬≠vided.

...

Read the original on markodenic.com ¬Ľ

5 618 shares, 27 trendiness, words and minutes reading time

Microsoft buys Nuance for nearly $20 billion as it readies deal frenzy

Sign up for our daily brief¬≠in¬≠g¬≠Make your busy days sim¬≠pler with Axios AM/PM. Catch up on what‚Äôs new and why it mat¬≠ters in just 5 min¬≠utes. Thank you for sub¬≠scrib¬≠ing!Catch up on the day‚Äôs biggest busi¬≠ness sto¬≠ries¬≠Sub¬≠scribe to Axios Closer for in¬≠sights into the day‚Äôs busi¬≠ness news and trends and why they mat¬≠terThank you for sub¬≠scrib¬≠ing!Stay on top of the lat¬≠est mar¬≠ket trendsSub¬≠scribe to Axios Markets for the lat¬≠est mar¬≠ket trends and eco¬≠nomic in¬≠sights. Sign up for free.Thank you for sub¬≠scrib¬≠ing!Binge on the stats and sto¬≠ries that drive the sports world with Axios Sports. Sign up for free.Thank you for sub¬≠scrib¬≠ing!Get our smart take on tech¬≠nol¬≠ogy from the Valley and D.C. with Axios Login. Sign up for free.Thank you for sub¬≠scrib¬≠ing!Get an in¬≠sid¬≠er‚Äôs guide to the new White House with Axios Sneak Peek. Sign up for free.Thank you for sub¬≠scrib¬≠ing!Catch up on coro¬≠n¬≠avirus sto¬≠ries and spe¬≠cial re¬≠ports, cu¬≠rated by Mike Allen every¬≠day¬≠Catch up on coro¬≠n¬≠avirus sto¬≠ries and spe¬≠cial re¬≠ports, cu¬≠rated by Mike Allen every¬≠dayThank you for sub¬≠scrib¬≠ing!Want a daily di¬≠gest of the top Denver news?Get a daily di¬≠gest of the most im¬≠por¬≠tant sto¬≠ries af¬≠fect¬≠ing your home¬≠town with Axios DenverThank you for sub¬≠scrib¬≠ing!Want a daily di¬≠gest of the top Des Moines news?Get a daily di¬≠gest of the most im¬≠por¬≠tant sto¬≠ries af¬≠fect¬≠ing your home¬≠town with Axios Des MoinesThank you for sub¬≠scrib¬≠ing!Want a daily di¬≠gest of the top Twin Cities news?Get a daily di¬≠gest of the most im¬≠por¬≠tant sto¬≠ries af¬≠fect¬≠ing your home¬≠town with Axios Twin CitiesThank you for sub¬≠scrib¬≠ing!Want a daily di¬≠gest of the top Tampa Bay news?Get a daily di¬≠gest of the most im¬≠por¬≠tant sto¬≠ries af¬≠fect¬≠ing your home¬≠town with Axios Tampa BayThank you for sub¬≠scrib¬≠ing!Want a daily di¬≠gest of the top Charlotte news?Get a daily di¬≠gest of the most im¬≠por¬≠tant sto¬≠ries af¬≠fect¬≠ing your home¬≠town with Axios CharlotteThank you for sub¬≠scrib¬≠ing!Thank you for sub¬≠scrib¬≠ing!Mi¬≠crosoft buys Nuance for nearly $20 bil¬≠lion as it read¬≠ies deal fren¬≠zyMi¬≠crosoft an¬≠nounced Monday it would buy Nuance Communications, a soft¬≠ware com¬≠pany that fo¬≠cuses on speech recog¬≠ni¬≠tion through ar¬≠ti¬≠Ô¨Ā¬≠cial in¬≠tel¬≠li¬≠gence, in an all-cash trans¬≠ac¬≠tion val¬≠ued at $19.7 bil¬≠lion (including debt as¬≠sump¬≠tion).Why it mat¬≠ters: This is Microsoft‚Äôs sec¬≠ond-largest ac¬≠qui¬≠si¬≠tion, be¬≠hind the $26.2 bil¬≠lion deal for LinkedIn in 2016.Microsoft is try¬≠ing to leapfrog com¬≠peti¬≠tors like Google and Amazon as they face record an¬≠titrust scrutiny.Its cloud busi¬≠ness has also been boom¬≠ing dur¬≠ing the pan¬≠demic. Microsoft‚Äôs stock hit an all-time high on Friday, as it ap¬≠proaches $2 tril¬≠lion in mar¬≠ket value. Details: Nuance makes money by sell¬≠ing soft¬≠ware tools that help to tran¬≠scribe speech. The Burlington, Massachusetts-based com¬≠pany, for ex¬≠am¬≠ple, pow¬≠ered the speech recog¬≠ni¬≠tion en¬≠gine be¬≠hind Apple‚Äôs voice as¬≠sis¬≠tant, Siri. The big pic¬≠ture: The deals Microsoft is eye¬≠ing are sig¬≠nif¬≠i¬≠cantly larger than its usual tar¬≠gets. Microsoft tried to buy TikTok‚Äôs U.S. op¬≠er¬≠a¬≠tions last year in a deal re¬≠port¬≠edly val¬≠ued be¬≠tween $10 bil¬≠lion to $30 bil¬≠lion. Reports sug¬≠gest it‚Äôs in ad¬≠vanced talks with gam¬≠ing chat app Discord for a deal worth more than $10 bil¬≠lion. A re¬≠port in February sug¬≠gested Microsoft was eye¬≠ing a takeover of Pinterest, worth $53 bil¬≠lion on the pub¬≠lic mar¬≠ket. Last September, it bought gam¬≠ing gi¬≠ant ZeniMax Media for $7.5 bil¬≠lion. Bottom line: Aside from its ac¬≠qui¬≠si¬≠tion of Linkedin, Microsoft‚Äôs biggest deals have all been worth less than $10 bil¬≠lion. (The com¬≠pany pur¬≠chased aQuan¬≠tive for roughly $6 bil¬≠lion in 2007 and Skype for $8.5 bil¬≠lion in 2011. It bought Nokia for $7.2 bil¬≠lion in 2014 and and GitHub for $7.5 bil¬≠lion in 2019.)

...

Read the original on www.axios.com ¬Ľ

6 488 shares, 25 trendiness, words and minutes reading time

RMS addresses the free software community ‚ÄĒ Free Software Foundation ‚ÄĒ Working together for free software

Ever since my teenage years, I felt as if there were a Ô¨Ālmy cur¬≠tain sep¬≠a¬≠rat¬≠ing me from other peo¬≠ple my age. I un¬≠der¬≠stood the words of their con¬≠ver¬≠sa¬≠tions, but I could not grasp why they said what they did. Much later I re¬≠al¬≠ized that I did¬≠n‚Äôt un¬≠der¬≠stand the sub¬≠tle cues that other peo¬≠ple were re¬≠spond¬≠ing to.

Later in life, I dis¬≠cov¬≠ered that some peo¬≠ple had neg¬≠a¬≠tive re¬≠ac¬≠tions to my be¬≠hav¬≠ior, which I did not even know about. Tending to be di¬≠rect and hon¬≠est with my thoughts, I some¬≠times made oth¬≠ers un¬≠com¬≠fort¬≠able or even of¬≠fended them — es¬≠pe¬≠cially women. This was not a choice: I did¬≠n‚Äôt un¬≠der¬≠stand the prob¬≠lem enough to know which choices there were.

Sometimes I lost my tem­per be­cause I did­n’t have the so­cial skills to avoid it. Some peo­ple could cope with this; oth­ers were hurt. I apol­o­gize to each of them. Please di­rect your crit­i­cism at me, not at

the Free Software Foundation.

Occasionally I learned some­thing about re­la­tion­ships and so­cial skills, so over the years I’ve found ways to get bet­ter at these sit­u­a­tions. When peo­ple help me un­der­stand an as­pect of what went wrong, and that shows me a way of treat­ing peo­ple bet­ter, I teach my­self to rec­og­nize when I should act that way. I keep mak­ing this ef­fort, and over time, I im­prove.

Some have de¬≠scribed me as be¬≠ing ‚Äútone-deaf,‚ÄĚ and that is fair. With my dif¬≠Ô¨Ā¬≠culty in un¬≠der¬≠stand¬≠ing so¬≠cial cues, that tends to hap¬≠pen. For in¬≠stance, I de¬≠fended Professor Minsky on an M. I.T. mail¬≠ing list af¬≠ter some¬≠one leaped to the con¬≠clu¬≠sion that he was just guilty as Jeffrey Epstein. To my sur¬≠prise, some thought my mes¬≠sage de¬≠fended Epstein. As I had stated pre¬≠vi¬≠ously, Epstein is a se¬≠r¬≠ial rapist, and rapists should be pun¬≠ished. I wish for his vic¬≠tims and those harmed by him to re¬≠ceive jus¬≠tice.

False ac¬≠cu¬≠sa¬≠tions — real or imag¬≠i¬≠nary, against me or against oth¬≠ers — es¬≠pe¬≠cially anger me. I knew Minsky only dis¬≠tantly, but see¬≠ing him un¬≠justly ac¬≠cused made me spring to his de¬≠fense. I would have done it for any¬≠one. Police bru¬≠tal¬≠ity makes me an¬≠gry, but when the cops lie about their vic¬≠tims af¬≠ter¬≠wards, that false ac¬≠cu¬≠sa¬≠tion is the ul¬≠ti¬≠mate out¬≠rage for me. I con¬≠demn racism and sex¬≠ism, in¬≠clud¬≠ing their sys¬≠temic forms, so when peo¬≠ple say I don‚Äôt, that hurts too.

It was right for me to talk about the in­jus­tice to Minsky, but it was tone-deaf that I did­n’t ac­knowl­edge as con­text the in­jus­tice that Epstein did to women or the pain that caused.

I’ve learned some­thing from this about how to be kind to peo­ple who have been hurt. In the fu­ture, that will help me be kind to peo­ple in other sit­u­a­tions, which is what I hope to do.

...

Read the original on www.fsf.org ¬Ľ

7 384 shares, 16 trendiness, words and minutes reading time

'The first spaceman landed in my field'

Sixty years ago, a man went into space for the very Ô¨Ārst time.

For the USSR, Yuri Gagarin’s sin­gle or­bit of the Earth was a huge achieve­ment and pro­pa­ganda coup. There will be cel­e­bra­tions across Russia to mark the an­niver­sary.

Our Moscow cor­re­spon­dent Steve Rosenberg re­ports on the day a new Russian hero was born, and meets the lit­tle girl who wit­nessed it.

...

Read the original on www.bbc.co.uk ¬Ľ

8 323 shares, 15 trendiness, words and minutes reading time

Cloudflare Pages is now Generally Available

In December, we an¬≠nounced the beta of CloudÔ¨āare Pages: a fast, se¬≠cure, and free way for fron¬≠tend de¬≠vel¬≠op¬≠ers to build, host, and col¬≠lab¬≠o¬≠rate on Jamstack sites.

It’s been in­cred­i­ble to see what hap­pens when you put a pow­er­ful tool in de­vel­op­ers’ hands. In just a few months of beta, thou­sands of de­vel­op­ers have de­ployed over ten thou­sand pro­jects, reach­ing mil­lions of peo­ple around the world.

Today, we‚Äôre ex¬≠cited to an¬≠nounce that CloudÔ¨āare Pages is now avail¬≠able for any¬≠one and ready for your pro¬≠duc¬≠tion needs. We‚Äôre also ex¬≠cited to show off some of the new fea¬≠tures we‚Äôve been work¬≠ing on over the course of the beta, in¬≠clud¬≠ing: web an¬≠a¬≠lyt¬≠ics, built in redi¬≠rects, pro¬≠tected pre¬≠views, live pre¬≠views, and op¬≠ti¬≠mized im¬≠ages (oh, my!). Lastly, we‚Äôll give you a sneak peek into what we‚Äôll be work¬≠ing on next to make CloudÔ¨āare Pages your go-to plat¬≠form for de¬≠ploy¬≠ing not just sta¬≠tic sites, but full-stack ap¬≠pli¬≠ca¬≠tions.

CloudÔ¨āare Pages rad¬≠i¬≠cally sim¬≠pli¬≠Ô¨Āes the process of de¬≠vel¬≠op¬≠ing and de¬≠ploy¬≠ing sites by tak¬≠ing care of all the te¬≠dious parts of web de¬≠vel¬≠op¬≠ment. Now, de¬≠vel¬≠op¬≠ers can fo¬≠cus on the fun and cre¬≠ative parts in¬≠stead.

Getting started with CloudÔ¨āare Pages is as easy as con¬≠nect¬≠ing your repos¬≠i¬≠tory and se¬≠lect¬≠ing your frame¬≠work and build com¬≠mands.

Once you‚Äôre set up, the only magic words you‚Äôll need are `git com¬≠mit` and `git push`. We‚Äôll take care of build¬≠ing and de¬≠ploy¬≠ing your sites for you, so you won‚Äôt ever have to leave your cur¬≠rent work¬≠Ô¨āow.

With every change, CloudÔ¨āare Pages gen¬≠er¬≠ates a new pre¬≠view link and posts it to the as¬≠so¬≠ci¬≠ated pull re¬≠quest. The pre¬≠view link makes shar¬≠ing your work with oth¬≠ers easy, whether they‚Äôre re¬≠view¬≠ing the code or the con¬≠tent for each change.

Every site de¬≠vel¬≠oped with CloudÔ¨āare Pages is de¬≠ployed to CloudÔ¨āare‚Äôs net¬≠work of data cen¬≠ters in over 100 coun¬≠tries ‚ÄĒ the same net¬≠work we‚Äôve been build¬≠ing out for the past 10 years with the best per¬≠for¬≠mance and se¬≠cu¬≠rity for our cus¬≠tomers in mind.

Over the past few months, our de¬≠vel¬≠op¬≠ers have been busy too, hard¬≠en¬≠ing our of¬≠fer¬≠ing from beta to gen¬≠eral avail¬≠abil¬≠ity, Ô¨Āx¬≠ing bugs, and work¬≠ing on new fea¬≠tures to make build¬≠ing pow¬≠er¬≠ful web¬≠sites even eas¬≠ier.

Here are some of the new and im­proved fea­tures you may have missed.

With CloudÔ¨āare Pages, we set out to make de¬≠vel¬≠op¬≠ing and de¬≠ploy¬≠ing sites easy at every step, and that does¬≠n‚Äôt stop at pro¬≠duc¬≠tion. Launch day is usu¬≠ally when the real work be¬≠gins.

Built-in, free web an­a­lyt­ics

Speaking of launch days, if there’s one ques­tion that’s on my mind on a launch day, it’s: how are things go­ing?

As soon as the go-live but­ton is pressed, I want to know: how many views are we get­ting? Was the ef­fort worth it? Are users run­ning into er­rors?

The weeks, or months af¬≠ter the launch, I still want to know: is our growth steady? Where is the traf¬≠Ô¨Āc com¬≠ing from? Is there any¬≠thing we can do to im¬≠prove the user‚Äôs ex¬≠pe¬≠ri¬≠ence?

With Pages, CloudÔ¨āare‚Äôs pri¬≠vacy-Ô¨Ārst Web Analytics are avail¬≠able to an¬≠swer all of these es¬≠sen¬≠tial ques¬≠tions for suc¬≠cess¬≠fully run¬≠ning your web¬≠site at scale. Later this week, you will be able to en¬≠able an¬≠a¬≠lyt¬≠ics with a sin¬≠gle click and start track¬≠ing your site‚Äôs progress and per¬≠for¬≠mance, in¬≠clud¬≠ing met¬≠rics about your traf¬≠Ô¨Āc and web core vi¬≠tals.

_redirects Ô¨Āle sup¬≠port

Websites are liv­ing pro­jects. As you make up­dates to your prod­uct names, blog post ti­tles, and site lay­outs, your URLs are bound to change as well. The chal­lenge is not let­ting those changes leave dead URLs be­hind for your users to stum­ble over.

To avoid leav­ing be­hind a trail of dead URLs, you should cre­ate redi­rects that au­to­mat­i­cally lead the user to your con­tent’s new home. The chal­lenge with cre­at­ing redi­rects is co­or­di­nat­ing the code change that changes the URL in tan­dem with the cre­ation of the redi­rect.

You can now do both with one swift com­mit.

By adding a _redirects Ô¨Āle to the build out¬≠put di¬≠rec¬≠tory for your pro¬≠ject, you can eas¬≠ily redi¬≠rect users to the right URL. Just add the redi¬≠rects into the Ô¨Āle in the fol¬≠low¬≠ing for¬≠mat:

/home‚Ää/‚Ää301

/contact-me /contact 301

/blog https://‚Äčwww.ghost.org 301

CloudÔ¨āare Pages makes it easy to cre¬≠ate new redi¬≠rects and im¬≠port ex¬≠ist¬≠ing redi¬≠rects us¬≠ing our new sup¬≠port for _redirects Ô¨Āles.

When we started CloudÔ¨āare, peo¬≠ple be¬≠lieved per¬≠for¬≠mance and se¬≠cu¬≠rity were at odds with each other, and trade¬≠offs had to be made be¬≠tween the two. We set out to show that that was wrong.

Today, we sim¬≠i¬≠larly be¬≠lieve that work¬≠ing col¬≠lab¬≠o¬≠ra¬≠tively and mov¬≠ing fast are at odds with each other. As the say¬≠ing goes, ‚ÄúIf you want to go fast, go alone. If you want to go far, go to¬≠gether.‚ÄĚ

We pre¬≠vi¬≠ously dis¬≠cussed the ways in which CloudÔ¨āare Pages al¬≠lows de¬≠vel¬≠op¬≠ers and their stake¬≠hold¬≠ers to move fast to¬≠gether, and we‚Äôve built two ad¬≠di¬≠tional im¬≠prove¬≠ments to make it even eas¬≠ier!

Protected pre¬≠views with CloudÔ¨āare Access in¬≠te¬≠gra¬≠tion

One of the ways CloudÔ¨āare Pages sim¬≠pli¬≠Ô¨Āes col¬≠lab¬≠o¬≠ra¬≠tion is by gen¬≠er¬≠at¬≠ing unique pre¬≠view URLs for each com¬≠mit. The pre¬≠view URLs make it easy for any¬≠one on your team to check out your work in progress, take it for a spin, and pro¬≠vide feed¬≠back be¬≠fore the changes go live.

While it’s great to shop ideas with your cowork­ers and stake­hold­ers ahead of the big day, the sur­prise el­e­ment is what makes the big day, The Big Day.

With our new CloudÔ¨āare Access in¬≠te¬≠gra¬≠tion, re¬≠strict¬≠ing ac¬≠cess to your pre¬≠view de¬≠ploy¬≠ments is as easy as click¬≠ing a but¬≠ton.

CloudÔ¨āare Access is a Zero Trust so¬≠lu¬≠tion ‚ÄĒ think of it like a bouncer check¬≠ing each re¬≠quest to your site at the door. By de¬≠fault, we add the mem¬≠bers of your CloudÔ¨āare or¬≠ga¬≠ni¬≠za¬≠tion, so when you send them a new pre¬≠view link, they‚Äôre prompted with a one-time PIN that is sent to their email for au¬≠then¬≠ti¬≠ca¬≠tion. However, you can mod¬≠ify the pol¬≠icy to in¬≠te¬≠grate with your pre¬≠ferred SSO provider.

CloudÔ¨āare Access comes with 50 seats in¬≠cluded in the free tier ‚ÄĒ enough to make sure no one leaks your new ‚Äúdark mode‚ÄĚ fea¬≠ture be¬≠fore you want them to.

Live pre¬≠views with CloudÔ¨āare Tunnel

While pre¬≠view de¬≠ploy¬≠ments make it easy to share progress when you‚Äôre work¬≠ing asyn¬≠chro¬≠nously, some¬≠times a live col¬≠lab¬≠o¬≠ra¬≠tion ses¬≠sion is the best way to crank out those Ô¨Ān¬≠ish¬≠ing touches and last minute copy changes.

With CloudÔ¨āare Tunnel, you can ex¬≠pose your lo¬≠cal¬≠host through a se¬≠cure tun¬≠nel to an eas¬≠ily share¬≠able URL, so you can get live feed¬≠back from your team¬≠mates be¬≠fore you com¬≠mit (pun in¬≠tended).

It’s easy to get ex­cited about all the new fea­tures you can play with, one of the real killer fea­tures of Pages is the per­for­mance and re­li­a­bil­ity.

We got a bit of a head start on per­for­mance be­cause we built Pages on the same net­work we’ve been op­ti­miz­ing for per­for­mance for the past ten years. As a re­sult, we learned a thing or two about ac­cel­er­at­ing web per­for­mance along the way.

One of the best tools for im­prov­ing your site per­for­mance is by serv­ing smaller con­tent, which takes less time to trans­fer. One way to make your con­tent smaller is via com­pres­sion. We’ve re­cently in­tro­duced two types of com­pres­sion to Pages:

Image com¬≠pres¬≠sion: Since im¬≠ages rep¬≠re¬≠sent some of the largest types of con¬≠tent we serve, serv¬≠ing them ef¬≠Ô¨Ā¬≠ciently can have great im¬≠pact on per¬≠for¬≠mance. To im¬≠prove ef¬≠Ô¨Ā¬≠ciency, we now use Polish to com¬≠press your im¬≠ages, and serve fewer bytes over the wire. When pos¬≠si¬≠ble, we‚Äôll also serve a WebP ver¬≠sion of your im¬≠age (and AVIF too, com¬≠ing soon).

Gzip and Brotli: Even smaller as¬≠sets, such as HTML or JavaScript can ben¬≠e¬≠Ô¨Āt from com¬≠pres¬≠sion. Pages will now serve con¬≠tent com¬≠pressed with gzip or Brotli, based on the type of com¬≠pres¬≠sion the client can sup¬≠port.

While we‚Äôve been of¬≠fer¬≠ing com¬≠pres¬≠sion for a long time now (dating all the way back to 2012), this is the Ô¨Ārst time we‚Äôre able to pre-process the as¬≠sets, at the time of the build step, rather than on the Ô¨āy, re¬≠sult¬≠ing in even bet¬≠ter com¬≠pres¬≠sion.

Another way to make con­tent smaller is by lit­er­ally shrink­ing it.

Device-based re­siz­ing: To make users’ ex­pe­ri­ences even smoother, es­pe­cially on less re­li­able mo­bile de­vices, we want to make sure we’re not send­ing large im­ages that will only get pre­viewed on a small screen. Our new op­ti­miza­tion will ap­pro­pri­ately re­size the im­age based on whether the de­vice is mo­bile or desk­top.

If you’re in­ter­ested in more im­age op­ti­miza­tion fea­tures, we have some an­nounce­ments planned for later in the week, so stay tuned.

While to¬≠day‚Äôs mile¬≠stone marks CloudÔ¨āare Pages as a pro¬≠duc¬≠tion-ready prod¬≠uct, like I said, that‚Äôs where our true work be¬≠gins, not ends.

There are so many fea­tures we’re ex­cited to sup­port in the fu­ture, and we wanted to give you a small glimpse into what it holds:

GitLab / Bitbucket sup­port

We started out by of­fer­ing di­rect in­te­gra­tion with GitHub to reach as many de­vel­op­ers as we pos­si­bly could, but we want to con­tin­u­ously grow out the ecosys­tem we in­ter­act with.

Webhooks

If you‚Äôre man¬≠ag¬≠ing all of your code and con¬≠tent through source con¬≠trol, it‚Äôs suf¬≠Ô¨Ā¬≠cient to rely on com¬≠mit¬≠ting your code as a way to trig¬≠ger a new pre¬≠view. However, if you‚Äôre man¬≠ag¬≠ing your code in one place, but the con¬≠tent in an¬≠other, such as a CMS, you may still want to pre¬≠view your con¬≠tent changes be¬≠fore they go live.

To en­able you to do so, we’ll be pro­vid­ing an end­point you’ll be able to call in or­der to trig­ger a brand new de­ploy­ment via a web­hook.

A/B test­ing

No mat­ter how much lo­cal test­ing you’ve done, or how many co-work­ers you’ve re­ceived feed­back from, some un­ex­pected be­hav­ior (whether a bug or a typo) is even­tu­ally bound to slip, only to get caught in pro­duc­tion. Your re­view­ers are hu­man too, af­ter all.

When the in­evitable hap­pens, how­ever, you don’t want it im­pact­ing all of your users at once.

To give you bet¬≠ter con¬≠trol of rolling out changes into pro¬≠duc¬≠tion, we‚Äôre look¬≠ing for¬≠ward to of¬≠fer¬≠ing you the abil¬≠ity to roll out your changes to a per¬≠cent¬≠age of your traf¬≠Ô¨Āc to gain con¬≠Ô¨Ā¬≠dence in your changes be¬≠fore you go to 100%.

Supporting sta¬≠tic sites is just the be¬≠gin¬≠ning of the jour¬≠ney for CloudÔ¨āare Pages. With redi¬≠rects sup¬≠port, we‚Äôre start¬≠ing to in¬≠tro¬≠duce the Ô¨Ārst bit of dy¬≠namic func¬≠tion¬≠al¬≠ity to Pages, but our am¬≠bi¬≠tions ex¬≠tend far be¬≠yond.

Our long term goal with Pages is to make full-stack ap­pli­ca­tion de­vel­op­ment as breezy an ex­pe­ri­ence as sta­tic site de­vel­op­ment is to­day. We want to make Pages the de­ploy­ment tar­get for your sta­tic as­sets, and the APIs that make them dy­namic. With Workers and Durable Objects, we be­lieve we have just the toolset to build upon.

We’ll be start­ing by al­low­ing you to de­ploy a Worker func­tion by in­clud­ing it in your /api or /functions di­rec­tory. Over time, we’ll be in­tro­duc­ing new ways for you to de­ploy Durable Objects or uti­lize the KV name­spaces in the same way.

Imagine, your en¬≠tire ap¬≠pli¬≠ca¬≠tion ‚ÄĒ ¬†frontend, APIs, stor¬≠age, data ‚ÄĒ all de¬≠ployed with a sin¬≠gle com¬≠mit, eas¬≠ily testable in stag¬≠ing, and a sin¬≠gle merge to de¬≠ploy to pro¬≠duc¬≠tion.

Sign up or check out our docs to get started.

The best part about this is get­ting to see what you build, so if you’re build­ing some­thing cool, make sure to pop into our Discord and tell us all about it.

...

Read the original on blog.cloudflare.com ¬Ľ

9 308 shares, 15 trendiness, words and minutes reading time

A High-Performance Arm Server CPU For Use In Big AI Systems

NVIDIA Unveils Grace: A High-Performance Arm Server CPU For Use In Big AI Systems

Kicking off an¬≠other busy Spring GPU Technology Conference for NVIDIA, this morn¬≠ing the graph¬≠ics and ac¬≠cel¬≠er¬≠a¬≠tor de¬≠signer is an¬≠nounc¬≠ing that they are go¬≠ing to once again de¬≠sign their own Arm-based CPU/SoC. Dubbed Grace — af¬≠ter Grace Hopper, the com¬≠puter pro¬≠gram¬≠ming pi¬≠o¬≠neer and US Navy rear ad¬≠mi¬≠ral — the CPU is NVIDIA‚Äôs lat¬≠est stab at more fully ver¬≠ti¬≠cally in¬≠te¬≠grat¬≠ing their hard¬≠ware stack by be¬≠ing able to of¬≠fer a high-per¬≠for¬≠mance CPU along¬≠side their reg¬≠u¬≠lar GPU wares. According to NVIDIA, the chip is be¬≠ing de¬≠signed specif¬≠i¬≠cally for large-scale neural net¬≠work work¬≠loads, and is ex¬≠pected to be¬≠come avail¬≠able in NVIDIA prod¬≠ucts in 2023.

With two years to go un¬≠til the chip is ready, NVIDIA is play¬≠ing things rel¬≠a¬≠tively coy at this time. The com¬≠pany is of¬≠fer¬≠ing only lim¬≠ited de¬≠tails for the chip — it will be based on a fu¬≠ture it¬≠er¬≠a¬≠tion of Arm‚Äôs Neoverse cores, for ex¬≠am¬≠ple — as to¬≠day‚Äôs an¬≠nounce¬≠ment is a bit more fo¬≠cused on NVIDIA‚Äôs fu¬≠ture work¬≠Ô¨āow model than it is speeds and feeds. If noth¬≠ing else, the com¬≠pany is mak¬≠ing it clear early on that, at least for now, Grace is an in¬≠ter¬≠nal prod¬≠uct for NVIDIA, to be of¬≠fered as part of their larger server of¬≠fer¬≠ings. The com¬≠pany is¬≠n‚Äôt di¬≠rectly gun¬≠ning for the Intel Xeon or AMD EPYC server mar¬≠ket, but in¬≠stead they are build¬≠ing their own chip to com¬≠ple¬≠ment their GPU of¬≠fer¬≠ings, cre¬≠at¬≠ing a spe¬≠cial¬≠ized chip that can di¬≠rectly con¬≠nect to their GPUs and help han¬≠dle enor¬≠mous, tril¬≠lion pa¬≠ra¬≠me¬≠ter AI mod¬≠els.

More broadly speak¬≠ing, Grace is de¬≠signed to Ô¨Āll the CPU-sized hole in NVIDIA‚Äôs AI server of¬≠fer¬≠ings. The com¬≠pa¬≠ny‚Äôs GPUs are in¬≠cred¬≠i¬≠bly well-suited for cer¬≠tain classes of deep learn¬≠ing work¬≠loads, but not all work¬≠loads are purely GPU-bound, if only be¬≠cause a CPU is needed to keep the GPUs fed. NVIDIA‚Äôs cur¬≠rent server of¬≠fer¬≠ings, in turn, typ¬≠i¬≠cally rely on AMD‚Äôs EPYC proces¬≠sors, which are very fast for gen¬≠eral com¬≠pute pur¬≠poses, but lack the kind of high-speed I/O and deep learn¬≠ing op¬≠ti¬≠miza¬≠tions that NVIDIA is look¬≠ing for. In par¬≠tic¬≠u¬≠lar, NVIDIA is cur¬≠rently bot¬≠tle¬≠necked by the use of PCI Express for CPU-GPU con¬≠nec¬≠tiv¬≠ity; their GPUs can talk quickly amongst them¬≠selves via NVLink, but not back to the host CPU or sys¬≠tem RAM.

The so­lu­tion to the prob­lem, as was the case even be­fore Grace, is to use NVLink for CPU-GPU com­mu­ni­ca­tions. Previously NVIDIA has worked with the OpenPOWER foun­da­tion to get NVLink into POWER9 for ex­actly this rea­son, how­ever that re­la­tion­ship is seem­ingly on its way out, both as POWER’s pop­u­lar­ity wanes and POWER10 is skip­ping NVLink. Instead, NVIDIA is go­ing their own way by build­ing an Arm server CPU with the nec­es­sary NVLink func­tion­al­ity.

The end re¬≠sult, ac¬≠cord¬≠ing to NVIDIA, will be a high-per¬≠for¬≠mance and high-band¬≠width CPU that is de¬≠signed to work in tan¬≠dem with a fu¬≠ture gen¬≠er¬≠a¬≠tion of NVIDIA server GPUs. With NVIDIA talk¬≠ing about pair¬≠ing each NVIDIA GPU with a Grace CPU on a sin¬≠gle board — sim¬≠i¬≠lar to to¬≠day‚Äôs mez¬≠za¬≠nine cards — not only does CPU per¬≠for¬≠mance and sys¬≠tem mem¬≠ory scale up with the num¬≠ber of GPUs, but in a round¬≠about way, Grace will serve as a co-proces¬≠sor of sorts to NVIDIA‚Äôs GPUs. This, if noth¬≠ing else, is a very NVIDIA so¬≠lu¬≠tion to the prob¬≠lem, not only im¬≠prov¬≠ing their per¬≠for¬≠mance, but giv¬≠ing them a counter should the more tra¬≠di¬≠tion¬≠ally in¬≠te¬≠grated AMD or Intel try some sort of sim¬≠i¬≠lar CPU+GPU fu¬≠sion play.

By 2023 NVIDIA will be up to NVLink 4, which will of¬≠fer at least 900GB/sec of cum¬≠mu¬≠la¬≠tive (up + down) band¬≠width be¬≠tween the SoC and GPU, and over 600GB/sec cum¬≠mu¬≠la¬≠tive be¬≠tween Grace SoCs. Critically, this is greater than the mem¬≠ory band¬≠width of the SoC, which means that NVIDIA‚Äôs GPUs will have a cache co¬≠her¬≠ent link to the CPU that can ac¬≠cess the sys¬≠tem mem¬≠ory at full band¬≠width, and also al¬≠low¬≠ing the en¬≠tire sys¬≠tem to have a sin¬≠gle shared mem¬≠ory ad¬≠dress space. NVIDIA de¬≠scribes this as bal¬≠anc¬≠ing the amount of band¬≠width avail¬≠able in a sys¬≠tem, and they‚Äôre not wrong, but there‚Äôs more to it. Having an on-pack¬≠age CPU is a ma¬≠jor means to¬≠wards in¬≠creas¬≠ing the amount of mem¬≠ory NVIDIA‚Äôs GPUs can ef¬≠fec¬≠tively ac¬≠cess and use, as mem¬≠ory ca¬≠pac¬≠ity con¬≠tin¬≠ues to be the pri¬≠mary con¬≠strain¬≠ing fac¬≠tors for large neural net¬≠works — you can only ef¬≠Ô¨Ā¬≠ciently run a net¬≠work as big as your lo¬≠cal mem¬≠ory pool.

And this mem¬≠ory-fo¬≠cused strat¬≠egy is re¬≠Ô¨āected in the mem¬≠ory pool de¬≠sign of Grace, as well. Since NVIDIA is putting the CPU on a shared pack¬≠age with the GPU, they‚Äôre go¬≠ing to put the RAM down right next to it. Grace-equipped GPU mod¬≠ules will in¬≠clude a to-be-de¬≠ter¬≠mined amount of LPDDR5x mem¬≠ory, with NVIDIA tar¬≠get¬≠ing at least 500GB/sec of mem¬≠ory band¬≠width. Besides be¬≠ing what‚Äôs likely to be the high¬≠est-band¬≠width non-graph¬≠ics mem¬≠ory op¬≠tion in 2023, NVIDIA is tout¬≠ing the use of LPDDR5x as a gain for en¬≠ergy ef¬≠Ô¨Ā¬≠ciency, ow¬≠ing to the tech¬≠nol¬≠o¬≠gy‚Äôs mo¬≠bile-fo¬≠cused roots and very short trace lengths. And, since this is a server part, Grace‚Äôs mem¬≠ory will be ECC-enabled, as well.

As for CPU per¬≠for¬≠mance, this is ac¬≠tu¬≠ally the part where NVIDIA has said the least. The com¬≠pany will be us¬≠ing a fu¬≠ture gen¬≠er¬≠a¬≠tion of Arm‚Äôs Neoverse CPU cores, where the ini¬≠tial N1 de¬≠sign has al¬≠ready been turn¬≠ing heads. But other than that, all the com¬≠pany is say¬≠ing is that the cores should break 300 points on the SPECrate2017_int_base through¬≠put bench¬≠mark, which would be com¬≠pa¬≠ra¬≠ble to some of AMD‚Äôs sec¬≠ond-gen¬≠er¬≠a¬≠tion 64 core EPYC CPUs. The com¬≠pany also is¬≠n‚Äôt say¬≠ing much about how the CPUs are con¬≠Ô¨Āg¬≠ured or what op¬≠ti¬≠miza¬≠tions are be¬≠ing added specif¬≠i¬≠cally for neural net¬≠work pro¬≠cess¬≠ing. But since Grace is meant to sup¬≠port NVIDIA‚Äôs GPUs, I would ex¬≠pect it to be stronger where GPUs in gen¬≠eral are weaker.

Otherwise, as men­tioned ear­lier, NVIDIA big vi­sion goal for Grace is sig­nif­i­cantly cut­ting down the time re­quired for the largest neural net­work­ing mod­els. NVIDIA is gun­ning for 10x higher per­for­mance on 1 tril­lion pa­ra­me­ter mod­els, and their per­for­mance pro­jec­tions for a 64 mod­ule Grace+A100 sys­tem (with the­o­ret­i­cal NVLink 4 sup­port) would be to bring down train­ing such a model from a month to three days. Or al­ter­na­tively, be­ing able to do real-time in­fer­ence on a 500 bil­lion pa­ra­me­ter model on an 8 mod­ule sys­tem.

Overall, this is NVIDIA‚Äôs sec¬≠ond real stab at the data cen¬≠ter CPU mar¬≠ket — and the Ô¨Ārst that is likely to suc¬≠ceed. NVIDIA‚Äôs Project Denver, which was orig¬≠i¬≠nally an¬≠nounced just over a decade ago, never re¬≠ally panned out as NVIDIA ex¬≠pected. The fam¬≠ily of cus¬≠tom Arm cores was never good enough, and never made it out of NVIDIA‚Äôs mo¬≠bile SoCs. Grace, in con¬≠trast, is a much safer pro¬≠ject for NVIDIA; they‚Äôre merely li¬≠cens¬≠ing Arm cores rather than build¬≠ing their own, and those cores will be in use by nu¬≠mer¬≠ous other par¬≠ties, as well. So NVIDIA‚Äôs risk is re¬≠duced to largely get¬≠ting the I/O and mem¬≠ory plumb¬≠ing right, as well as keep¬≠ing the Ô¨Ā¬≠nal de¬≠sign en¬≠ergy ef¬≠Ô¨Ā¬≠cient.

If all goes ac¬≠cord¬≠ing to plan, ex¬≠pect to see Grace in 2023. NVIDIA is al¬≠ready con¬≠Ô¨Ārm¬≠ing that Grace mod¬≠ules will be avail¬≠able for use in HGX car¬≠rier boards, and by ex¬≠ten¬≠sion DGX and all the other sys¬≠tems that use those boards. So while we haven‚Äôt seen the full ex¬≠tent of NVIDIA‚Äôs Grace plans, it‚Äôs clear that they are plan¬≠ning to make it a core part of fu¬≠ture server of¬≠fer¬≠ings.

And even though Grace is¬≠n‚Äôt ship¬≠ping un¬≠til 2023, NVIDIA has al¬≠ready lined up their Ô¨Ārst cus¬≠tomers for the hard¬≠ware — and they‚Äôre su¬≠per¬≠com¬≠puter cus¬≠tomers, no less. Both the Swiss National Supercomputing Centre (CSCS) and Los Alamos National Laboratory are an¬≠nounc¬≠ing to¬≠day that they‚Äôll be or¬≠der¬≠ing su¬≠per¬≠com¬≠put¬≠ers based on Grace. Both sys¬≠tems will be built by HPE‚Äôs Cray group, and are set to come on¬≠line in 2023.

CSCS’s sys­tem, dubbed Alps, will be re­plac­ing their cur­rent Piz Daint sys­tem, a Xeon plus NVIDIA P100 clus­ter. According to the two com­pa­nies, Alps will of­fer 20 ExaFLOPS of AI per­for­mance, which is pre­sum­ably a com­bi­na­tion of CPU, CUDA core, and ten­sor core through­put. When it’s launched, Alps should be the fastest AI-focused su­per­com­puter in the world.

Interestingly, how­ever, CSCS’s am­bi­tions for the sys­tem go be­yond just ma­chine learn­ing work­loads. The in­sti­tute says that they’ll be us­ing Alps as a gen­eral pur­pose sys­tem, work­ing on more tra­di­tional HPC-type tasks as well as AI-focused tasks. This in­cludes CSCS’s tra­di­tional re­search into weather and the cli­mate, which the pre-AI Piz Daint is al­ready used for as well.

As pre­vi­ously men­tioned, Alps will be built by HPE, who will be bas­ing on their pre­vi­ously-an­nounced Cray EX ar­chi­tec­ture. This would make NVIDIA’s Grace the sec­ond CPU op­tion for Cray EX, along with AMD’s EPYC proces­sors.

Meanwhile Los Alamos‚Äô sys¬≠tem is be¬≠ing de¬≠vel¬≠oped as part of an on¬≠go¬≠ing col¬≠lab¬≠o¬≠ra¬≠tion be¬≠tween the lab and NVIDIA, with LANL set to be the Ô¨Ārst US-based cus¬≠tomer to re¬≠ceive a Grace sys¬≠tem. LANL is not dis¬≠cussing the ex¬≠pected per¬≠for¬≠mance of their sys¬≠tem be¬≠yond the fact that it‚Äôs ex¬≠pected to be ‚Äúleadership-class,‚ÄĚ though the lab is plan¬≠ning on us¬≠ing it for 3D sim¬≠u¬≠la¬≠tions, tak¬≠ing ad¬≠van¬≠tage of the largest data set sizes af¬≠forded by Grace. The LANL sys¬≠tem is set to be de¬≠liv¬≠ered in early 2023.

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