Subj : OpenAI ex-CTO's startup ¨, nanomaterial design ¨, LLM codegen workflows ¨¨
To : All
From : TLDR
Date : Wed Feb 19 2025 11:40:00
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OpenAI's former CTO Mira Murati's new startup, Thinking Machines Lab,
has=
come out of stealth. The startup intends to build
tooling=C2=A0=E2=80=
=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=
=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=
=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=
=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=
=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=
=E2=80=8C=C2=A0=E2=80=8C=C2=A0=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=
=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=
=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=
=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=
=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=
=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0
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=09TOGETHER WITH [TLDR] [4]
TLDR 2025-02-19
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BIG TECH & STARTUPS
THINKING M=
ACHINES LAB IS EX-OPENAI CTO MIRA MURATI'S NEW STARTUP (3
MINUTE READ) [5=
]=20
OpenAI's former CTO Mira Murati's new startup, Thinking Machines L=
ab,
has come out of stealth. The startup intends to build tooling to make=
AI work for peoples' unique needs and goals and to create AI systems
t=
hat are more widely understood, customizable, and generality capable
than=
those currently available. It will focus on building multimodal
systems =
that can adapt to the full spectrum of human expertise and
enable broader=
applications. Murati joins a growing list of former
OpenAI execs who hav=
e launched startups.=20
OPENAI BOARD CONSIDERS SPECIAL VOTING POWERS TO=
PREVENT ELON MUSK
TAKEOVER (2 MINUTE READ) [6]=20
OpenAI is consider=
ing granting new voting rights to its nonprofit
board to help it fight th=
e unsolicited takeover bid from Elon Musk.
Giving the nonprofit's board o=
utsized voting power would ensure it
retains control of the restructured =
company and is able to overrule
other investors, ensuring OpenAI can figh=
t off hostile bids from
outsiders. OpenAI could also consider a plan that=
would let
shareholders buy up additional shares at a discount to fend of=
f
hostile takeovers.=20
=F0=9F=9A=80=20
SCIENCE & FUTURISTIC TECHNO=
LOGY
SCIENTISTS CREATED THE LIGHTEST AND STRONGEST NANOMATERIAL EVER =
(3
MINUTE READ) [7]=20
Researchers at the University of Toronto have =
created a new material
with the toughness of steel that weighs about as m=
uch as foam. They
used AI to recognize the best configurations of nanostr=
uctures to
create the tough and impossibly light material. The new nanoma=
terial
can be mass-produced, unlike its predecessors. The lightweight nat=
ure
of the material could result in more comfortable prosthetics and
im=
plants and more efficient vehicles.=20
AI USED TO DESIGN A MULTI-STEP E=
NZYME THAT CAN DIGEST SOME PLASTICS
(4 MINUTE READ) [8]=20
AI-driven =
protein design has enabled the possibility of creating
things unlike anyt=
hing found in nature. Scientists have successfully
created an enzyme with=
the potential to digest plastics. Breaking down
ester bonds in plastics =
requires four steps - getting AI to design a
protein with the right confi=
guration to do one of these steps is easy,
but having it cycle through al=
l four is much harder. The scientists
overcame challenges by adding more =
AI models and eventually designed
an esterase capable of digesting the bo=
nds in PET, a common plastic.=20
=F0=9F=92=BB=20
PROGRAMMING, DESIGN =
& DATA SCIENCE
=E2=9C=82=EF=B8=8F CUT YOUR QA CYCLES DOWN TO MINUTES =
WITH QA WOLF (SPONSOR) [9]=20
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With QA Wolf, Drata's team of 80+ engineers [11] achieved 4x more t=
est
cases and 86% FASTER QA CYCLES.
Schedule a demo to learn more [9=
]
MY LLM CODEGEN WORKFLOW ATM (15 MINUTE READ) [12]=20
This artic=
le discusses a workflow that uses large language models for
code generati=
on (LLM codegen) that has been effective for building
many small products=
.. The workflow involves brainstorming a spec,
making a plan, and then exe=
cuting that plan using LLM codegen. The
process is repeated until magic h=
appens.=20
KAFKA AT THE LOW END: HOW BAD CAN IT GET? (3 MINUTE READ) [1=
3]=20
Kafka does poorly as a job queue. It unfairly assigns jobs to
w=
orkers, even if other workers have nothing to do. Kafka is not a bad
tool=
, it is just not designed for low volume - it was designed for
scenarios =
where a conventional single-node message broker can't keep
up. If that sp=
eed isn't required, then it's better to use a
conventional broker with mo=
re suitable features (at least until Queues
for Kafka comes along).=20
=
=F0=9F=8E=81=20
MISCELLANEOUS
THE ONE AI TO RULE THEM ALL (8 MI=
NUTE READ) [14]=20
The next AI model war may be upon us, but this time =
it will be a
smaller one as the gains, while real, have been increasingly=
expensive
and granular. We are seemingly reaching parity among the playe=
rs.
While they all have more specific areas of focus and subfeatures, the=
y
are all trying to consolidate their products to simplify them for
eve=
ryday use. This article ranks current AI offerings from a pure
consumer p=
erspective.=20
THE MARKETING GENIUS OF BRYAN JOHNSON (4 MINUTE READ) [1=
5]=20
Bryan Johnson's Don't Die lifestyle has grabbed the world's
att=
ention. Johnson stands out - no one else is making content about
not dyin=
g. His 'Don't Die' slogan is hard to scroll past, short, and
snappy. John=
son doesn't try to appeal to everyone - his extreme
lifestyle polarizes p=
eople, but he only needs a small number of
fanatical fans. This article l=
ooks at Johnson's marketing tactics,
which have resulted in 1,440,000 You=
Tube subscribers, 503,000
followers on X, and 1,500,000 Instagram followe=
rs.=20
TLDR IS HIRING CURATORS FOR OUR NEW TLDR DATA NEWSLETTER (FULLY=
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TODAY WE'RE OPEN-SOURCING R1 1776, =
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UNBIASED, ACCURATE, AND FACTUAL
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erplexity trained an unbiased, accurate, and factual version of
DeepSeek-=
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FIRST LOOK AT TESLA'S FIRST =E2=80=98PUBLIC'=
ELECTRIC SEMI TRUCK CHARGING
STATION (2 MINUTE READ) [17]=20
Tesla's=
first permanent public Megacharger station will have 12
stalls with Mega=
chargers that can accommodate trucks and their
trailers.=20
A YEAR OF=
UV: PROS, CONS, AND SHOULD YOU MIGRATE (25 MINUTE READ)
[18]=20
uv i=
s sufficient most of the time, so developers should always try it
first, =
then use something else or find a workaround if it doesn't
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F=
RANCE RUNS FUSION REACTOR FOR RECORD 22 MINUTES (3 MINUTE READ) [19]
=
The next step will be to create even longer reactions that could
amou=
nt to a combined time of several hours.=20
X DOUBLES ITS PREMIUM+ PLAN =
PRICES AFTER XAI RELEASES GROK 3 (1
MINUTE READ) [20]=20
X's Premium+=
subscription plan is now $50 per month, or $350 a year.=20
HUAWEI'S TR=
IFOLD PHONE LAUNCHES OUTSIDE OF CHINA (3 MINUTE READ) [21]
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TLDR
OpenAI=
9;s former CTO Mira Murati's new startup, Thinking Machines Lab, has c=
ome out of stealth. The startup intends to build tooling =E2=80=8C&nbs=
p;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&nbs=
p;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&nbs=
p;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&nbs=
p;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&nbs=
p;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&nbs=
p; =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
Thinking Machines Lab is ex=
-OpenAI CTO Mira Murati's new startup (3 minute read)
OpenAI's former CTO Mira Murati's new s=
tartup, Thinking Machines Lab, has come out of stealth. The startup intends=
to build tooling to make AI work for peoples' unique needs and goals and t=
o create AI systems that are more widely understood, customizable, and gene=
rality capable than those currently available. It will focus on building mu=
ltimodal systems that can adapt to the full spectrum of human expertise and=
enable broader applications. Murati joins a growing list of former OpenAI =
execs who have launched startups.
|
OpenAI board considers spec=
ial voting powers to prevent Elon Musk takeover (2 minute read)
OpenAI is considering granting new voti=
ng rights to its nonprofit board to help it fight the unsolicited takeover =
bid from Elon Musk. Giving the nonprofit's board outsized voting power woul=
d ensure it retains control of the restructured company and is able to over=
rule other investors, ensuring OpenAI can fight off hostile bids from outsi=
ders. OpenAI could also consider a plan that would let shareholders buy up =
additional shares at a discount to fend off hostile takeovers.
|
|
Science & Futuristic Technology
|
Scientists Created the Ligh=
test and Strongest Nanomaterial Ever (3 minute read)
Researchers at the University of Toront=
o have created a new material with the toughness of steel that weighs about=
as much as foam. They used AI to recognize the best configurations of nano=
structures to create the tough and impossibly light material. The new nanom=
aterial can be mass-produced, unlike its predecessors. The lightweight natu=
re of the material could result in more comfortable prosthetics and implant=
s and more efficient vehicles.
|
AI used to design a multi-s=
tep enzyme that can digest some plastics (4 minute read)
AI-driven protein design has enabled th=
e possibility of creating things unlike anything found in nature. Scientist=
s have successfully created an enzyme with the potential to digest plastics=
.. Breaking down ester bonds in plastics requires four steps - getting AI to=
design a protein with the right configuration to do one of these steps is =
easy, but having it cycle through all four is much harder. The scientists o=
vercame challenges by adding more AI models and eventually designed an este=
rase capable of digesting the bonds in PET, a common plastic.
|
|
Programming, Design & Data Science
|
My LLM codegen workflow atm=
(15 minute read)
This article discusses a workflow that =
uses large language models for code generation (LLM codegen) that has been =
effective for building many small products. The workflow involves brainstor=
ming a spec, making a plan, and then executing that plan using LLM codegen.=
The process is repeated until magic happens.
|
Kafka at the low end: how b=
ad can it get? (3 minute read)
Kafka does poorly as a job queue. It un=
fairly assigns jobs to workers, even if other workers have nothing to do. K=
afka is not a bad tool, it is just not designed for low volume - it was des=
igned for scenarios where a conventional single-node message broker can't k=
eep up. If that speed isn't required, then it's better to use a conventiona=
l broker with more suitable features (at least until Queues for Kafka comes=
along).
|
|
The One AI to Rule Them All=
(8 minute read)
The next AI model war may be upon us, b=
ut this time it will be a smaller one as the gains, while real, have been i=
ncreasingly expensive and granular. We are seemingly reaching parity among =
the players. While they all have more specific areas of focus and subfeatur=
es, they are all trying to consolidate their products to simplify them for =
everyday use. This article ranks current AI offerings from a pure consumer =
perspective.
|
The marketing genius of Bry=
an Johnson (4 minute read)
Bryan Johnson's Don't Die lifestyle has=
grabbed the world's attention. Johnson stands out - no one else is making =
content about not dying. His 'Don't Die' slogan is hard to scroll past, sho=
rt, and snappy. Johnson doesn't try to appeal to everyone - his extreme lif=
estyle polarizes people, but he only needs a small number of fanatical fans=
.. This article looks at Johnson's marketing tactics, which have resulted in=
1,440,000 YouTube subscribers, 503,000 followers on X, and 1,500,000 Insta=
gram followers.
|
TLDR is hiring curators for=
our new TLDR Data newsletter (Fully Remote, $100/hr)
TLDR is hiring part time curators to la=
unch our TLDR Data newsletter.The ideal candidate would have deep=
experience working directly with data warehouses, data pipelines, data lak=
es, and other modern cloud infrastructure. Time commitment is ~2-3 hours/week paid at a rate of $100/hr. To apply please send y=
our LinkedIn or resume to jobs@tldr.tech alo=
ng with a couple sentences on why you'd be a good fit!
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Love TLDR? Tell your friends and get rewards!
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Share your referral link below with friends to get free TLDR swag!
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Want to advertise in TLDR? =F0=9F=93=B0
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ecision-makers and engineers, you may want to advertise with us.
Want to work at TLDR? =F0=9F=92=BC
Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them!
If you have any comments or feedback, just respond to this email!
Thanks for reading,
Dan Ni &a=
mp; Stephen =
Flanders
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--VQutgi9k--
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