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Google's new Gemini 3.1 Pro is now rolling out in preview. The model's
be=
nchmark results show mostly modest
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Sign =
Up [1] |Advertise [2]|View Online [3]=20
=09=09TLDR=20
=09=09TOGETHER=
WITH [WorkOS] [4]
TLDR 2026-02-20
GO FROM "WE DON'T SUPPORT SSO=
" TO ENTERPRISE READY IN A WEEKEND
(SPONSOR) [4]=20
Every B2B company=
hits the same inflection point =E2=80=94 enterprise
customers show up an=
d they need SSO, directory sync, audit logs, and
role-based access before=
they'll move forward. Most teams lose months
building that infrastructur=
e. It doesn't have to be that way.
With WorkOS [4] you get all of it. =
One platform for auth, identity,
and security. Infrastructure for teams t=
hat ship fast and stay fast.=20
OpenAI, Anthropic, Cursor, and Perplexit=
y already chose WorkOS over
building it themselves.=20
Build faster wi=
th WorkOS =E2=86=92 [4]=20
=F0=9F=93=B1=20
BIG TECH & STARTUPS
=
GOOGLE ANNOUNCES GEMINI 3.1 PRO, SAYS IT'S BETTER AT COMPLEX
PROBLEM-SOLV=
ING (2 MINUTE READ) [5]=20
Google's new Gemini 3.1 Pro is now rolling o=
ut in preview. The
model's benchmark results show mostly modest improveme=
nts. The updated
model is now available in AI Studio and the Antigravity =
IDE.
Enterprise users will see the model in Vertex AI and Gemini
Enterp=
rise, and regular users can use it in both the Gemini app and
NotebookLM.=
The API costs for developers have not changed, nor has the
context windo=
w.=20
AMAZON DETHRONES WALMART AS WORLD'S BIGGEST COMPANY BY SALES (3=
MINUTE READ) [6]=20
Amazon is now the biggest global company by reve=
nue. Walmart was
previously the leader for more than a decade. Jeff Bezos=
had carefully
studied Walmart's founder, Sam Walton, and embedded many o=
f his
business strategies while building Amazon. Amazon's revenue increas=
ed
at almost 10 times the pace of Walmart's over the past decade. Amazon=
is the biggest online retailer, attracting 2.7 billion visits to its
w=
ebsites and mobile apps each month, while Walmart is the biggest
physical=
retailer in the world, with more than 10,000 stores and
shopping clubs g=
lobally.=20
=F0=9F=9A=80=20
SCIENCE & FUTURISTIC TECHNOLOGY
THE=
FICKLENESS OF SCALING LAWS (24 MINUTE READ) [7]=20
Scaling laws have d=
efined tech in the last five years. Large language
models have demonstrat=
ed consistent returns to scaling. However, these
'laws' apply to very few=
other fields. Little work has been done to
systematically understand, in=
theory or in general, what causes
scaling laws or determines their slope=
and robustness. This article
looks at what causes scaling laws, what the=
ir preconditions are, when
they stop, why they have worked in some fields=
but not others, and
more.=20
RESEARCH NOTE: FIVE LESSONS FROM HAVING=
HELPED RUN AN AI-BIOLOGY RCT
(6 MINUTE READ) [8]=20
Almost everyone =
agrees that AI policy should be evidence-based.
However, science is often=
messy and full of caveats, which doesn't fit
well with policymakers' dem=
ands for clean answers. Many AI benchmarks
have saturated and can no long=
er give a clear 'no' on risks.
Experiments show how much we still have to=
learn. We need to spend
less time proving that today's AIs are safe and =
more time figuring out
how to tell if future AIs are dangerous.=20
=
=F0=9F=92=BB=20
PROGRAMMING, DESIGN & DATA SCIENCE
PEAK TRAFFIC SH=
OULDN'T MEAN PEAK ANXIETY (SPONSOR) [9]=20
Traffic skyrocketing? If you=
're on Microsoft Azure [10], there's no
reason to panic. When user demand=
spikes, Azure adjusts capacity in
the background. Performance stays stea=
dy with no manual intervention,
no late-night firefighting, and no scramb=
ling to explain why the site
went down during the big launch. Build witho=
ut limits with Azure [10]=20
BUILDING AN ELITE AI ENGINEERING CULTURE I=
N 2026 (20 MINUTE READ)
[11]=20
The winning formula in early 2026 is =
structured context, tiered
rigor, smaller teams with higher leverage, and=
relentless measurement
of downstream effects. The teams that adapt AI to=
ols without the
underlying taste and discipline are discovering that AI j=
ust makes
their existing problems bigger. Teams with strong engineering=
cultures, robust CI/CD, clear architectural standards, and effective
r=
eview processes see AI compound their advantages. This is widening
the ga=
p between elite and average teams.=20
STOP THINKING OF AI AS A COWORKER=
. IT'S AN EXOSKELETON (14 MINUTE
READ) [12]=20
AI should be treated a=
s an amplifier of human capacity rather than a
replacement. AI can still =
act autonomously with specific tasks, but in
a way that is an extension o=
f human decision-making and context. This
allows humans to do dramaticall=
y more work, more sustainably, with
less injury and fatigue. The AI indus=
try's dream of having a fully
autonomous AI employee is seductive, but it=
will likely set us up for
disappointment.=20
=F0=9F=8E=81=20
MISCE=
LLANEOUS
HOW WILL OPENAI COMPETE? (24 MINUTE READ) [13]=20
OpenAI=
's technology isn't unique. While it has a big userbase, there
is limited=
engagement and stickiness, and no network effects. Its
competitors have =
matched its technology and are leveraging their
product distribution. Exe=
cuting better than everyone else is certainly
an aspiration, but it isn't=
a strategy.=20
BYTEDANCE BUILDING OUT ARTIFICIAL INTELLIGENCE TEAM IN =
US (5 MINUTE
READ) [14]=20
ByteDance is hiring nearly 100 employees f=
or its AI division in the
US. The company's AI team, called Seed, was est=
ablished in 2023 and
has labs across the US, Singapore, and China. The op=
en roles include
various job responsibilities such as producing internati=
onal data,
advancing ByteDance's text, image, and video generation tools,=
AI
research, and building models for drug discovery and design. The
co=
mpany's recent AI launches have thrust it into the spotlight in the
US. T=
here has been some controversy over the data used to train its
models. =
=E2=9A=A1=20
QUICK LINKS
TOOL OVERLOAD GOT YOUR HEAD SPINNIN=
G? (SPONSOR) [15]=20
Tech stack complexity is out of control, and the l=
ast thing you need
is a bigger =E2=80=98stack'. Microsoft Azure gives you=
a unified view of
applications, cloud resources, and AI=E2=80=94so you c=
an ship more software
with less open tabs. Simplify with Azure [16]=20
=
META'S METAVERSE IS GOING MOBILE-FIRST (1 MINUTE READ) [17]=20
Meta=
is separating its Quest VR platform from its Worlds platform,
shifting t=
he focus of Worlds to be almost exclusively mobile.=20
THEFT OF TRADE S=
ECRETS IS ON THE RISE=E2=80=94AND AI IS MAKING IT WORSE (4
MINUTE READ) [=
18]=20
There were around 1,500 federal trade secrets cases filed in the=
US
last year, up 20% from the previous year.=20
THERE IS NO PRODUCT =
(12 MINUTE READ) [19]=20
Software that can be generated in a weekend is=
disposable inventory,
not something you can build a startup around.=20
=
WHITE-COLLAR APOCALYPSE ISN'T AROUND THE CORNER=E2=80=94BUT AI HAS ALRE=
ADY
FUNDAMENTALLY CHANGED THE ECONOMY (20 MINUTE READ) [20]=20
The pr=
oductivity gains from AI are real, but it won't be
catastrophic, as it wi=
ll just devalue mechanical skills while
elevating judgment skills.=20
=
BUILDING WITH AI AGENTS (3 MINUTE READ) [21]=20
Nine observations from=
building with AI agents over the last year.=20
THE SOFTWARE SHAKEOUT: =
WHAT IS DURABLE AND WHAT IS NOT IN THE AGE OF
AI? (13 MINUTE READ) [22] =
The most value has always historically accrued to the companies that=
did the hardest things.=20
Love TLDR? Tell your friends and get rewar=
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<div style=3D"display: none; max-height: 0px; overflow: hidden;">Google= 9;s new Gemini 3.1 Pro is now rolling out in preview. The model's benc= hmark results show mostly modest improvements =E2=80=8C =E2=80=8C= =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C= =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C= =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C= =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C= =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C </div>
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<a href=3D"
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https://images.tldr.tech/wo= rkos50.png" valign=3D"middle" style=3D"vertical-align: middle !important; h= eight: 100%;" alt=3D"WorkOS"></a></td></tr></tbody></table>
<table style=3D"table-layout: fixed; width:100%;" width=3D"100%"><tbody><tr= ><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0;=
<div style=3D"text-align: center;">
<h1><strong>TLDR <span id=3D"date">2026-02-20</span></strong></h1>
</div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width:100%;" width=3D"100%"><tbody><tr=
id=3D"sponsy-copy"><td class=3D"container" style=3D"padding: 15px 15px;">
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fworkos.com%2F%3Futm_source=3Dtldr%26utm_medium=3Dnewsle= tter%26utm_campaign=3Dq12026/2/0100019c7acafd51-6fab55a7-f14a-4893-b987-ba6= dea968801-000000/kPtj6uI6jQpcpsRLDmT5I4oYkana4iBXRFiAtcf88GU=3D445">
<span>
<strong>Go from "we don't support S= SO" to Enterprise Ready in a weekend (Sponsor)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Every B2B company hits the same inflect= ion point =E2=80=94 enterprise customers show up and they need SSO, directo=
ry sync, audit logs, and role-based access before they'll move forward. Mos=
t teams lose months building that infrastructure. It doesn't have to be tha=
t way.<br><br>With <a class=3D"in-cell-link" href=3D"
https://tracking.tldrn= ewsletter.com/CL0/https:%2F%2Fworkos.com%2F%3Futm_source=3Dtldr%26utm_mediu= m=3Dnewsletter%26utm_campaign=3Dq12026/3/0100019c7acafd51-6fab55a7-f14a-489= 3-b987-ba6dea968801-000000/QAAe5TSIE0mrbv0TSB7F1YEPh6QrTPtbhkdqe2enZ4Y=3D44=
5" rel=3D"noopener noreferrer nofollow" target=3D"_blank"><span>WorkOS</spa= n></a> you get all of it. One platform for auth, identity, and security. In= frastructure for teams that ship fast and stay fast.
<br>OpenAI, Anthropic, Cursor, and Perplexity already chose WorkOS over bui= lding it themselves.
<br><a class=3D"in-cell-link" href=3D"
https://tracking.tldrnewsletter.com/C= L0/https:%2F%2Fworkos.com%2F%3Futm_source=3Dtldr%26utm_medium=3Dnewsletter%= 26utm_campaign=3Dq12026/4/0100019c7acafd51-6fab55a7-f14a-4893-b987-ba6dea96= 8801-000000/s34YsSyxZlplyVMhatLO8aKvH2rf1yXncACLe7CHEnw=3D445" rel=3D"noope= ner noreferrer nofollow" target=3D"_blank"><span>Build faster with WorkOS = =E2=86=92</span></a>
</span>
</span>
</div>
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</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;">
<h1><strong>Big Tech & Startups</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width: 100%;" width=3D"100%"><tbody><t= r><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0=
;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Farstechnica.com%2Fgoogle%2F2026%2F02%2Fgoogle-announces= -gemini-3-1-pro-says-its-better-at-complex-problem-solving%2F%3Futm_source= =3Dtldrnewsletter/1/0100019c7acafd51-6fab55a7-f14a-4893-b987-ba6dea968801-0= 00000/q7xZCWw91RL_yUf_DaJR0bHLmgL71tX9U-QXcjFNyro=3D445">
<span>
<strong>Google announces Gemini 3.1=
Pro, says it's better at complex problem-solving (2 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Google's new Gemini 3.1 Pro is now roll= ing out in preview. The model's benchmark results show mostly modest improv= ements. The updated model is now available in AI Studio and the Antigravity=
IDE. Enterprise users will see the model in Vertex AI and Gemini Enterpris=
e, and regular users can use it in both the Gemini app and NotebookLM. The = API costs for developers have not changed, nor has the context window.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FUPNf5e/1/0100019c7acafd51-6f= ab55a7-f14a-4893-b987-ba6dea968801-000000/iw25SaRxE5TmZHvrQsTUo1GHdozg8lpQ6= 2ISXQwpNXY=3D445">
<span>
<strong>Amazon Dethrones Walmart as=
World's Biggest Company by Sales (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Amazon is now the biggest global compan=
y by revenue. Walmart was previously the leader for more than a decade. Jef=
f Bezos had carefully studied Walmart's founder, Sam Walton, and embedded m= any of his business strategies while building Amazon. Amazon's revenue incr= eased at almost 10 times the pace of Walmart's over the past decade. Amazon=
is the biggest online retailer, attracting 2.7 billion visits to its websi= tes and mobile apps each month, while Walmart is the biggest physical retai= ler in the world, with more than 10,000 stores and shopping clubs globally.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
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<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=F0=9F= =9A=80</span></div>
</div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;">
<h1><strong>Science & Futuristic Technology</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width: 100%;" width=3D"100%"><tbody><t= r><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0=
;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.mackenziemorehead.com%2Fthe-fickleness-of-scaling-l= aws%2F%3Futm_source=3Dtldrnewsletter/1/0100019c7acafd51-6fab55a7-f14a-4893-= b987-ba6dea968801-000000/gwKpDpgiiE30JLvfRTLy_I-qfkkyjy_I7467tSFhpa4=3D445"=
<span>
<strong>The Fickleness of Scaling L= aws (24 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Scaling laws have defined tech in the l= ast five years. Large language models have demonstrated consistent returns =
to scaling. However, these 'laws' apply to very few other fields. Little wo=
rk has been done to systematically understand, in theory or in general, wha=
t causes scaling laws or determines their slope and robustness. This articl=
e looks at what causes scaling laws, what their preconditions are, when the=
y stop, why they have worked in some fields but not others, and more.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fmetr.org%2Fblog%2F2026-02-19-five-lessons-from-ai-biolo= gy-rct%2F%3Futm_source=3Dtldrnewsletter/1/0100019c7acafd51-6fab55a7-f14a-48= 93-b987-ba6dea968801-000000/Z894pSW7iWD6QWOy3YNTzwrozMp2DZcqrrQSJcPOo7o=3D4=
<span>
<strong>Research note: Five lessons=
from having helped run an AI-Biology RCT (6 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Almost everyone agrees that AI policy s= hould be evidence-based. However, science is often messy and full of caveat=
s, which doesn't fit well with policymakers' demands for clean answers. Man=
y AI benchmarks have saturated and can no longer give a clear 'no' on risks=
. Experiments show how much we still have to learn. We need to spend less t= ime proving that today's AIs are safe and more time figuring out how to tel=
l if future AIs are dangerous.
</span>
</span>
</div>
</td></tr></tbody></table>
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<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=F0=9F= =92=BB</span></div></div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;">
<h1><strong>Programming, Design & Data Science</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width: 100%;" width=3D"100%"><tbody><t= r><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0=
;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FrHFSyo%3Futm_source=3Dtldrne= wsletter/1/0100019c7acafd51-6fab55a7-f14a-4893-b987-ba6dea968801-000000/eS5= LoW_SMH6DAKHoJJVbdeCb_lM-67hgXSbVG8rYjoQ=3D445">
<span>
<strong>Peak traffic shouldn't mean=
peak anxiety (Sponsor)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Traffic skyrocketing? If you're on <a h= ref=3D"
https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsle= tter.com%2FrHFSyo/1/0100019c7acafd51-6fab55a7-f14a-4893-b987-ba6dea968801-0= 00000/vyR_87VsLggAhTt8I26rhJa4ycN0PxAD8nro9hWqcNE=3D445" rel=3D"noopener no= referrer nofollow" target=3D"_blank"><span>Microsoft Azure</span></a>, ther= e's no reason to panic. When user demand spikes, Azure adjusts capacity in = the background. Performance stays steady with no manual intervention, no la= te-night firefighting, and no scrambling to explain why the site went down = during the big launch. <a href=3D"
https://tracking.tldrnewsletter.com/CL0/h= ttps:%2F%2Flinks.tldrnewsletter.com%2FrHFSyo/2/0100019c7acafd51-6fab55a7-f1= 4a-4893-b987-ba6dea968801-000000/ikKd5MslrISJorj3H_rXFm0q204SJbjxchPXdGQivi= E=3D445" rel=3D"noopener noreferrer nofollow" target=3D"_blank"><span>Build=
without limits with Azure</span></a>
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.cjroth.com%2Fblog%2F2026-02-18-building-an-elite-en= gineering-culture%3Futm_source=3Dtldrnewsletter/1/0100019c7acafd51-6fab55a7= -f14a-4893-b987-ba6dea968801-000000/lb_PK4Ldggy4pNXZKnvHqkAN86qr3UlmD74IKBa= I9mo=3D445">
<span>
<strong>Building An Elite AI Engine= ering Culture In 2026 (20 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
The winning formula in early 2026 is st= ructured context, tiered rigor, smaller teams with higher leverage, and rel= entless measurement of downstream effects. The teams that adapt AI tools wi= thout the underlying taste and discipline are discovering that AI just make=
s their existing problems bigger. Teams with strong engineering cultures, r= obust CI/CD, clear architectural standards, and effective review processes = see AI compound their advantages. This is widening the gap between elite an=
d average teams.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.kasava.dev%2Fblog%2Fai-as-exoskeleton%3Futm_source= =3Dtldrnewsletter/1/0100019c7acafd51-6fab55a7-f14a-4893-b987-ba6dea968801-0= 00000/tYDH_YJsL27VN_bVA3NcNOpqqRfN1RuBQEYdcuaCigk=3D445">
<span>
<strong>Stop Thinking of AI as a Co= worker. It's an Exoskeleton (14 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
AI should be treated as an amplifier of=
human capacity rather than a replacement. AI can still act autonomously wi=
th specific tasks, but in a way that is an extension of human decision-maki=
ng and context. This allows humans to do dramatically more work, more susta= inably, with less injury and fatigue. The AI industry's dream of having a f= ully autonomous AI employee is seductive, but it will likely set us up for = disappointment.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=F0=9F= =8E=81</span></div></div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><strong><h1>Miscellaneous</h1></strong><= /div>
</div>
</td></tr></tbody></table>
<table bgcolor=3D"" style=3D"table-layout: fixed; width: 100%;" width=3D"10= 0%"><tbody><tr><td style=3D"padding:0;border-collapse:collapse;border-spaci= ng:0;margin:0;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.ben-evans.com%2Fbenedictevans%2F2026%2F2%2F19%2Fhow= -will-openai-compete-nkg2x%3Futm_source=3Dtldrnewsletter/1/0100019c7acafd51= -6fab55a7-f14a-4893-b987-ba6dea968801-000000/lKK8JKfmrnGA9qaEk1Z25pticvJ8ne= gHD84xur6OBgQ=3D445">
<span>
<strong>How will OpenAI compete? (2=
4 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
OpenAI's technology isn't unique. While=
it has a big userbase, there is limited engagement and stickiness, and no = network effects. Its competitors have matched its technology and are levera= ging their product distribution. Executing better than everyone else is cer= tainly an aspiration, but it isn't a strategy.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
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<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
ByteDance is hiring nearly 100 employee=
s for its AI division in the US. The company's AI team, called Seed, was es= tablished in 2023 and has labs across the US, Singapore, and China. The ope=
n roles include various job responsibilities such as producing internationa=
l data, advancing ByteDance's text, image, and video generation tools, AI r= esearch, and building models for drug discovery and design. The company's r= ecent AI launches have thrust it into the spotlight in the US. There has be=
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Tech stack complexity is out of control=
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https://tracki= ng.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2F8099DN/1/0= 100019c7acafd51-6fab55a7-f14a-4893-b987-ba6dea968801-000000/YNCIQcYRLap0gi7= nEQPf5qGxJtxnfpFJoAJ0b19IEaQ=3D445" rel=3D"noopener noreferrer nofollow" ta= rget=3D"_blank"><span>Simplify with Azure</span></a>
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Nine observations from building with AI=
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The most value has always historically = accrued to the companies that did the hardest things.
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