• OpenAI ex-CTO's startup ¨

    From TLDR@VERT to All on Wed Feb 19 11:40:00 2025
    OpenAI's former CTO Mira Murati's new startup, Thinking Machines Lab,
    has come out of stealth. The startup intends to build
    tooling


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    ¨

    BIG TECH & STARTUPS

    THINKING MACHINES LAB IS EX-OPENAI CTO MIRA MURATI'S NEW STARTUP (3
    MINUTE READ) [5]

    OpenAI's former CTO Mira Murati's new startup, 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 to create AI systems
    that 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 have launched startups.

    OPENAI BOARD CONSIDERS SPECIAL VOTING POWERS TO PREVENT ELON MUSK
    TAKEOVER (2 MINUTE READ) [6]

    OpenAI is considering granting new voting rights to its nonprofit
    board to help it fight the unsolicited takeover bid from Elon Musk.
    Giving the nonprofit's board outsized voting power would ensure it
    retains control of the restructured company and is able to overrule
    other investors, ensuring OpenAI can fight off hostile bids from
    outsiders. 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 LIGHTEST AND STRONGEST NANOMATERIAL EVER (3
    MINUTE READ) [7]

    Researchers at the University of Toronto 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 nanostructures to
    create the tough and impossibly light material. The new nanomaterial
    can be mass-produced, unlike its predecessors. The lightweight nature
    of the material could result in more comfortable prosthetics and
    implants and more efficient vehicles.

    AI USED TO DESIGN A MULTI-STEP ENZYME THAT CAN DIGEST SOME PLASTICS
    (4 MINUTE READ) [8]

    AI-driven protein design has enabled the possibility of creating
    things unlike anything 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 configuration to do one of these steps is easy,
    but having it cycle through all four is much harder. The scientists
    overcame challenges by adding more AI models and eventually designed
    an esterase capable of digesting the bonds in PET, a common plastic.

    ¨

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    Schedule a demo to learn more [9]

    MY LLM CODEGEN WORKFLOW ATM (15 MINUTE READ) [12]

    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 brainstorming 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 BAD CAN IT GET? (3 MINUTE READ) [13]

    Kafka does poorly as a job queue. It unfairly assigns jobs to
    workers, 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 speed isn't required, then it's better to use a
    conventional broker with more suitable features (at least until Queues
    for Kafka comes along).

    ¨

    MISCELLANEOUS

    THE ONE AI TO RULE THEM ALL (8 MINUTE READ) [14]

    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 players.
    While they all have more specific areas of focus and subfeatures, 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 BRYAN JOHNSON (4 MINUTE READ) [15]

    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, short, and
    snappy. Johnson doesn't try to appeal to everyone - his extreme
    lifestyle 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 Instagram followers.

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    ¨

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    Perplexity trained an unbiased, accurate, and factual version of
    DeepSeek-R1 and open sourced it.

    FIRST LOOK AT TESLA'S FIRST `PUBLIC' ELECTRIC SEMI TRUCK CHARGING
    STATION (2 MINUTE READ) [17]

    Tesla's first permanent public Megacharger station will have 12
    stalls with Megachargers that can accommodate trucks and their
    trailers.

    A YEAR OF UV: PROS, CONS, AND SHOULD YOU MIGRATE (25 MINUTE READ)
    [18]

    uv is 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.

    FRANCE RUNS FUSION REACTOR FOR RECORD 22 MINUTES (3 MINUTE READ) [19]


    The next step will be to create even longer reactions that could
    amount to a combined time of several hours.

    X DOUBLES ITS PREMIUM+ PLAN PRICES AFTER XAI RELEASES GROK 3 (1
    MINUTE READ) [20]

    X's Premium+ subscription plan is now $50 per month, or $350 a year.

    HUAWEI'S TRIFOLD PHONE LAUNCHES OUTSIDE OF CHINA (3 MINUTE READ) [21]


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    [6] https://arstechnica.com/tech-policy/2025/02/openai-board-considers-special-voting-powers-to-prevent-elon-musk-takeover/?utm_source=tldrnewsletter
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    [13] https://broot.ca/kafka-at-the-low-end.html?utm_source=tldrnewsletter
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  • From TLDR@VERT to All on Wed Feb 19 11:40:00 2025
    --VQutgi9k
    Content-Type: text/plain; charset=utf-8
    Content-Transfer-Encoding: quoted-printable

    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

    =

    Sign Up [1] |Advertise [2]|View Online [3]=20

    =09=09TLDR=20

    =09=
    =09TOGETHER WITH [TLDR] [4]

    TLDR 2025-02-19

    WHAT HAPPENS WHEN YO=
    UR AD LANDS IN TLDR? (SPONSOR) [4]=20

    Over 5 million tech pros start th=
    eir day scanning TLDR for the latest
    news=E2=80=94so when an ad appears, =
    it gets noticed.

    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=
    gineering team and you're
    releasing slowly because of it, you need to che=
    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 =
    helps dev teams
    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

    Love TLDR=
    ? Tell your friends and get rewards!

    Share your referral link below w=
    ith friends to get free TLDR swag!=20

    https://refer.tldr.tech/1fd848fa/=
    [22]=20

    =09=09 Track your referrals here. [23]=20

    Want to advertise =
    in TLDR? =F0=9F=93=B0

    If your company is interested in reaching an au=
    dience of tech
    executives, decision-makers and engineers, you may want to=
    ADVERTISE
    WITH US [24].=20

    Want to work at TLDR? =F0=9F=92=BC

    A=
    PPLY HERE [25] or send a friend's resume to jobs@tldr.tech and get
    $1k if=
    we hire them!=20

    If you have any comments or feedback, just respond to=
    this email!=20

    Thanks for reading,=20
    Dan Ni [26] & Stephen Flanders [2=
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    <div style=3D"display: none; max-height: 0px; overflow: hidden;">OpenAI&#03= 9;s former CTO Mira Murati&#039;s new startup, Thinking Machines Lab, has c= ome out of stealth. The startup intends to build tooling&nbsp;=E2=80=8C&nbs= p;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbs= p;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbs= p;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbs= p;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbs= p;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbs= p;&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80= =8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80= =8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80= =8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80= =8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80= =8C&nbsp;=E2=80=8C&nbsp;</div>



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    <strong>Thinking Machines Lab is ex= -OpenAI CTO Mira Murati's new startup (3 minute read)</strong>
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    <span style=3D"font-family: &quot;Helvetica Neue&quot;, 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>
    </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%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">
    <span>
    <strong>OpenAI board considers spec= ial voting powers to prevent Elon Musk takeover (2 minute read)</strong>
    </span>



    <span style=3D"font-family: &quot;Helvetica Neue&quot;, 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.
    </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= =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 &amp; 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.popularmechanics.com%2Fscience%2Fa63786292%2Fai-nan= omaterial%2F%3Futm_source=3Dtldrnewsletter/1/010001951e01f91a-1382a091-53ca= -4ce8-91d8-a71351696c79-000000/O0Dbs5LVQJgAj9Sg5aL-NZszCCyQkmfBYyb8yMGgzYo= =3D392">
    <span>
    <strong>Scientists Created the Ligh= test and Strongest Nanomaterial Ever (3 minute read)</strong>
    </span>



    <span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
    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>
    </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%2Farstechnica.com%2Fscience%2F2025%2F02%2Fusing-ai-to-des= ign-proteins-is-now-easy-making-enzymes-remains-hard%2F%3Futm_source=3Dtldr= newsletter/1/010001951e01f91a-1382a091-53ca-4ce8-91d8-a71351696c79-000000/r= pwBaPfeSjTD-oNuSq70iKxEY_eCoPV0sTR0fhHkJ8I=3D392">
    <span>
    <strong>AI used to design a multi-s= tep enzyme that can digest some plastics (4 minute read)</strong>
    </span>



    <span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
    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>
    </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= =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 &amp; 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%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>



    <span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
    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>
    </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%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: &quot;Helvetica Neue&quot;, 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: &quot;Helvetica Neue&quot;, 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: &quot;Helvetica Neue&quot;, 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: &quot;Helvetica Neue&quot;, 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: &quot;Helvetica Neue&quot;, 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!



    </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;">=E2=9A= =A1</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>Quick Links</strong></h1>
    </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%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: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
    Perplexity trained an unbiased, accurat=
    e, and factual version of DeepSeek-R1 and open sourced it.
    </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%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: &quot;Helvetica Neue&quot;, 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=

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