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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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=09=09TLDR=20
=09=
=09TOGETHER WITH [TLDR] [4]
TLDR 2025-02-19
WHAT HAPPENS WHEN YO=
UR AD LANDS IN TLDR? (SPONSOR) [4]=20
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That's why companies run TLDR ads to reach founders, =
engineers, and
decision-makers without the noise of traditional ad platfo=
rms. Plus
TLDR provides free ad copywriting and performance insights. Lea=
rn
more. [4]
=F0=9F=93=B1=20
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
If QA is a bottleneck on your software en=
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ck out QA Wolf [10].
Their fully-managed service gets engineering team=
s to 80% automated
end-to-end test coverage and their AI-native platform =
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SHIP 5X FASTER by reducing QA cycles from hours to minute=
s.
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=
REMOTE, $100/HR)=20
TLDR is hiring part time curators to launch our =
TLDR Data newsletter.
The ideal candidate would have deep experience w=
orking directly with
data warehouses, data pipelines, data lakes, and oth=
er modern cloud
infrastructure.
Time commitment is ~2-3 HOURS/WEEK P=
AID AT A RATE OF $100/HR. To apply
please send your LinkedIn or resume to=
jobs@tldr.tech along with a
couple sentences on why you'd be a good fit!=
=E2=9A=A1=20
QUICK LINKS
TODAY WE'RE OPEN-SOURCING R1 1776, =
A VERSION OF THE DEEPSEEK-R1 MODEL
THAT HAS BEEN POST-TRAINED TO PROVIDE =
UNBIASED, ACCURATE, AND FACTUAL
INFORMATION (9 MINUTE READ) [16]=20
P=
erplexity trained an unbiased, accurate, and factual version of
DeepSeek-=
R1 and open sourced it.=20
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
work.=20
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]
The Mat=
e XT Ultimate will be released in Malaysia, Indonesia, the
Philippines, U=
AE, Saudi Arabia, and Mexico - more markets are
expected.=20
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If you have any comments or feedback, just respond to=
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Thanks for reading,=20
Dan Ni [26] & Stephen Flanders [2=
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Manage your subscriptions [28] to our other newsletters on tech,=
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=09=09=09<![endif]--></head><body class=3D"">
<div style=3D"display: none; max-height: 0px; overflow: hidden;">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 </div>
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<h1><strong>TLDR <span id=3D"date">2025-02-19</span></strong></h1>
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<strong>What happens when your ad l= ands in TLDR? (Sponsor)</strong>
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Over 5 million tech pros start their da=
y scanning TLDR for the latest news=E2=80=94so when an ad appears, it gets = noticed.<p></p><p>That's why companies run TLDR ads to reach founders, engi= neers, and decision-makers without the noise of traditional ad platforms. P= lus TLDR provides free ad copywriting and performance insights. <a href=3D"=
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<h1><strong>Big Tech & Startups</strong></h1>
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<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">
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<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Ftechcrunch.com%2F2025%2F02%2F18%2Fthinking-machines-lab= -is-ex-openai-cto-mira-muratis-new-startup%2F%3Futm_source=3Dtldrnewsletter= /1/010001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/6Tl7Ide9w_W= Mu5KQttGXku_4ySdK8Pl-bluLNDwU03Y=3D392">
<span>
<strong>Thinking Machines Lab is ex= -OpenAI CTO Mira Murati's new startup (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
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.
</span>
</span>
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<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Farstechnica.com%2Ftech-policy%2F2025%2F02%2Fopenai-boar= d-considers-special-voting-powers-to-prevent-elon-musk-takeover%2F%3Futm_so= urce=3Dtldrnewsletter/1/010001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c= 79-000000/bX1vS1lp7luvG0jcbPgm_ksWgTGcjjCW1GAIyJ0zyhY=3D392">
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<strong>OpenAI board considers spec= ial voting powers to prevent Elon Musk takeover (2 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
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.
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<h1><strong>Science & Futuristic Technology</strong></h1>
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;" valign=3D"top">
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<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.popularmechanics.com%2Fscience%2Fa63786292%2Fai-nan= omaterial%2F%3Futm_source=3Dtldrnewsletter/1/010001951e01f91a-1382a091-53ca= -4ce8-91d8-a71351696c79-000000/O0Dbs5LVQJgAj9Sg5aL-NZszCCyQkmfBYyb8yMGgzYo= =3D392">
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<strong>Scientists Created the Ligh= test and Strongest Nanomaterial Ever (3 minute read)</strong>
</span>
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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.
</span>
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<strong>AI used to design a multi-s= tep enzyme that can digest some plastics (4 minute read)</strong>
</span>
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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.
</span>
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<h1><strong>Programming, Design & Data Science</strong></h1>
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<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.qawolf.com%2F%3Futm_source=3Dtldr%26utm_medium=3Dne= wsletter%26utm_campaign=3DACQ_All_Demo_Conversions__NewsletterAudience_-_Ne= wsletter_CutQACycles_20250219-None_Experiment-FALSE%26utm_term=3Dcta-Schedu= leADemoToLearnMore%26utm_content=3DCutQACycles_ScheduleADemoToLearnMore_Non= e_Headline%253ACutYourQACyclesDownToMinutesWithQAWolf_None_None_None_Newsle= tter-SecondaryPlacement_20250219_v1/1/010001951e01f91a-1382a091-53ca-4ce8-9= 1d8-a71351696c79-000000/YU68a9bNEghuJHeNEqB8h90wAdeSnf8mZMzvlq4EtPs=3D392">
<span>
<strong>=E2=9C=82=EF=B8=8F Cut your=
QA cycles down to minutes with QA Wolf (Sponsor)</strong>
</span>
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If QA is a bottleneck on your software = engineering team and you're releasing slowly because of it, you need to che=
ck out <a href=3D"
https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.q= awolf.com%2F%3Futm_source=3Dtldr%26utm_medium=3Dnewsletter%26utm_campaign= =3DACQ_All_Demo_Conversions__NewsletterAudience_-_Newsletter_CutQACycles_20= 250219-None_Experiment-FALSE%26utm_term=3Dbody-QAWolf%26utm_content=3DCutQA= Cycles_ScheduleADemoToLearnMore_None_Headline%253ACutYourQACyclesDownToMinu= tesWithQAWolf_None_None_None_Newsletter-SecondaryPlacement_20250219_v1/1/01= 0001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/flQz3MS6qh9HyaVJ= xRwirQ9fNeU9OzUD9vQrpzBbCEk=3D392" rel=3D"noopener noreferrer nofollow" tar= get=3D"_blank"><span>QA Wolf</span></a>.
<p></p>
<p>Their fully-managed service gets engineering teams to 80% automated end-= to-end test coverage and their AI-native platform helps dev teams <strong>s= hip 5x faster</strong> by reducing QA cycles from hours to minutes.</p>
<p>With QA Wolf, <a href=3D"
https://tracking.tldrnewsletter.com/CL0/https:%= 2F%2Fwww.qawolf.com%2Fcase-studies%2Fdrata%3Futm_source=3Dtldr%26utm_medium= =3Dnewsletter%26utm_campaign=3DACQ_All_Demo_Conversions__NewsletterAudience= _-_Newsletter_CutQACycles_20250212-None_Experiment-FALSE%26utm_term=3Dbody-= DratasTeamOf80PlusEngineers%26utm_content=3DCutQACycles_ScheduleADemoToLear= nMore_None_Headline%253ACutYourQACyclesDownToMinutesWithQAWolf_None_None_No= ne_Newsletter-SecondaryPlacement_20250212_v1/1/010001951e01f91a-1382a091-53= ca-4ce8-91d8-a71351696c79-000000/BE5YNTJVAuhHeDNpC7Dsjfje1hj7Ir-GRPSkVdezjm= 0=3D392" rel=3D"noopener noreferrer nofollow" target=3D"_blank"><span>Drata=
's team of 80+ engineers</span></a> achieved 4x more test cases and <strong= >86% faster QA cycles</strong>.</p>
<p><a href=3D"
https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.qawol= f.com%2F%3Futm_source=3Dtldr%26utm_medium=3Dnewsletter%26utm_campaign=3DACQ= _All_Demo_Conversions__NewsletterAudience_-_Newsletter_CutQACycles_20250219= -None_Experiment-FALSE%26utm_term=3Dcta-ScheduleADemoToLearnMore%26utm_cont= ent=3DCutQACycles_ScheduleADemoToLearnMore_None_Headline%253ACutYourQACycle= sDownToMinutesWithQAWolf_None_None_None_Newsletter-SecondaryPlacement_20250= 219_v1/2/010001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/ySysS= FFiewgycAmVVWWccRn13JLOZEaxA3Isx0qvc3o=3D392" rel=3D"noopener noreferrer no= follow" target=3D"_blank"><span>Schedule a demo to learn more</span></a>
</span></span></div>
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<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fharper.blog%2F2025%2F02%2F16%2Fmy-llm-codegen-workflow-= atm%2F%3Futm_source=3Dtldrnewsletter/1/010001951e01f91a-1382a091-53ca-4ce8-= 91d8-a71351696c79-000000/YumPaN6pwwQbz_Ie8dsFQ1jOodAukpmlvfK7gGtFwCM=3D392"=
<span>
<strong>My LLM codegen workflow atm=
(15 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
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.
</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%2Fbroot.ca%2Fkafka-at-the-low-end.html%3Futm_source=3Dtld= rnewsletter/1/010001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/= -KihzfrFHTAAeZPS40lNFyYCdo0KH8lXN5ODR4AvGag=3D392">
<span>
<strong>Kafka at the low end: how b=
ad can it get? (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
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).
</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%2Fspyglass.org%2Fconsumer-ai-services-apps%2F%3Futm_sourc= e=3Dtldrnewsletter/1/010001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-= 000000/I1BS53JzAmC0mEDsYFmDi34QgDD5QAJUpGqMtgHn6jU=3D392">
<span>
<strong>The One AI to Rule Them All=
(8 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
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.
</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.petecodes.io%2Fmarketing-genius-of-bryan-johnson%2F= %3Futm_source=3Dtldrnewsletter/1/010001951e01f91a-1382a091-53ca-4ce8-91d8-a= 71351696c79-000000/wOHHGih8cBaRnbEt7javxX2_z4v7UYvnBvZ5czUALww=3D392">
<span>
<strong>The marketing genius of Bry=
an Johnson (4 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
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.
</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"mailto:
jobs@tldr.tech?utm_source= =3Dtldrnewsletter">
<span>
<strong>TLDR is hiring curators for=
our new TLDR Data newsletter (Fully Remote, $100/hr)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
TLDR is hiring part time curators to la= unch our TLDR Data newsletter.<p></p><p>The ideal candidate would have deep=
experience working directly with data warehouses, data pipelines, data lak= es, and other modern cloud infrastructure.</p><p>Time commitment is <strong= >~2-3 hours/week paid at a rate of $100/hr</strong>. To apply please send y= our LinkedIn or resume to <a href=3D"mailto:
jobs@tldr.tech" rel=3D"noopener=
noreferrer nofollow" target=3D"_blank"><span>
jobs@tldr.tech</span></a> alo=
ng with a couple sentences on why you'd be a good fit!
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<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=E2=9A= =A1</span></div></div>
</td></tr></tbody></table>
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<h1><strong>Quick Links</strong></h1>
</div>
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<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=
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<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FkqG3PC/1/010001951e01f91a-13= 82a091-53ca-4ce8-91d8-a71351696c79-000000/IMVPsRgDhMA95WT3bzJ1wUo3kRYULY_XB= PPOJXHXV3w=3D392">
<span>
<strong>Today we're open-sourcing R=
1 1776, a version of the DeepSeek-R1 model that has been post-trained to pr= ovide unbiased, accurate, and factual information (9 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Perplexity trained an unbiased, accurat=
e, and factual version of DeepSeek-R1 and open sourced it.
</span>
</span>
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</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%2Felectrek.co%2F2025%2F02%2F18%2Ffirst-look-at-teslas-fir= st-public-electric-semi-truck-charging-station%2F%3Futm_source=3Dtldrnewsle= tter/1/010001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/DHMlP3d= 39PulMQUtnFwul47ND2iNKbKrryHjXQjJBGk=3D392">
<span>
<strong>First look at Tesla's first=
=E2=80=98public' electric semi truck charging station (2 minute read)</str=
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Tesla's first permanent public Megachar= ger station will have 12 stalls with Megachargers that can accommodate truc=
ks and their trailers.
</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.bitecode.dev%2Fp%2Fa-year-of-uv-pros-cons-and-shoul= d%3Futm_source=3Dtldrnewsletter/1/010001951e01f91a-1382a091-53ca-4ce8-91d8-= a71351696c79-000000/WgWmo3jbEFKqh4okxCpEOIifqDgXHtApGY84vYguA8M=3D392">
<span>
<strong>A year of uv: pros, cons, a=
nd should you migrate (25 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
uv is sufficient most of the time, so d= evelopers should always try it first, then use something else or find a wor= karound if it doesn't work.
</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%2Fnewatlas.com%2Fenergy%2Ffrance-tokamak-cea-west-fusion-= reactor-record-plasma-duration%2F%3Futm_source=3Dtldrnewsletter/1/010001951= e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/mNuGwFU5OdxRHa_ikU4TKvY= 3svlmibKppN7gjcKcAUQ=3D392">
<span>
<strong>France runs fusion reactor = for record 22 minutes (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
The next step will be to create even lo= nger reactions that could amount to a combined time of several hours.
</span>
</span>
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<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Ftechcrunch.com%2F2025%2F02%2F18%2Fx-doubles-its-premium= -plan-prices-after-xai-releases-grok-3%2F%3Futm_source=3Dtldrnewsletter/1/0= 10001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/wg7-Lk0WKqFDara= 7BbVXsNDmNAj02nym4-4vtoVL8MA=3D392">
<span>
<strong>X doubles its Premium+ plan=
prices after xAI releases Grok 3 (1 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
X's Premium+ subscription plan is now $=
50 per month, or $350 a year.
</span>
</span>
</div>
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<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.theverge.com%2Fnews%2F614241%2Fhuawei-trifold-mate-= xt-ultimate-global-release%3Futm_source=3Dtldrnewsletter/1/010001951e01f91a= -1382a091-53ca-4ce8-91d8-a71351696c79-000000/PctIzyc_3NXk4IZEXSRQkHXhpVMIVo= Jeu_kTNIK-2tQ=3D392">
<span>
<strong>Huawei's trifold phone laun= ches outside of China (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
The Mate XT Ultimate will be released i=
n Malaysia, Indonesia, the Philippines, UAE, Saudi Arabia, and Mexico - mor=
e markets are expected.
</span>
</span>
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