<!DOCTYPE html><html lang="en"><head><meta http-equiv="Content-Type" content="text/html charset=UTF-8"><meta charset="UTF-8"><meta name="viewport" content="width=device-width"><meta name="x-apple-disable-message-reformatting"><title>TLDR AI</title><meta name="color-scheme" content="light dark"><meta name="supported-color-schemes" content="light dark"><style type="text/css">
:root {
color-scheme: light dark; supported-color-schemes: light dark;
}
*,
*:after,
*:before {
-webkit-box-sizing: border-box; -moz-box-sizing: border-box; box-sizing: border-box;
}
* {
-ms-text-size-adjust: 100%; -webkit-text-size-adjust: 100%;
}
html,
body,
.document {
width: 100% !important; height: 100% !important; margin: 0; padding: 0;
}
body {
-webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; text-rendering: optimizeLegibility;
}
div[style*="margin: 16px 0"] {
margin: 0 !important;
}
table,
td {
mso-table-lspace: 0pt; mso-table-rspace: 0pt;
}
table {
border-spacing: 0; border-collapse: collapse; table-layout: fixed; margin: 0 auto;
}
img {
-ms-interpolation-mode: bicubic; max-width: 100%; border: 0;
}
*[x-apple-data-detectors] {
color: inherit !important; text-decoration: none !important;
}
.x-gmail-data-detectors,
.x-gmail-data-detectors *,
.aBn {
border-bottom: 0 !important; cursor: default !important;
}
.btn {
-webkit-transition: all 200ms ease; transition: all 200ms ease;
}
.btn:hover {
background-color: #f67575; border-color: #f67575;
}
* {
font-family: Arial, Helvetica, sans-serif; font-size: 18px;
}
@media screen and (max-width: 600px) {
.container {
width: 100%; margin: auto;
}
.stack {
display: block!important; width: 100%!important; max-width: 100%!important;
}
.btn {
display: block; width: 100%; text-align: center;
}
}
body,
p,
td,
tr,
.body,
table,
h1,
h2,
h3,
h4,
h5,
h6,
div,
span {
background-color: #FEFEFE !important; color: #010101 !important;
}
@media (prefers-color-scheme: dark) {
body,
p,
td,
tr,
.body,
table,
h1,
h2,
h3,
h4,
h5,
h6,
div,
span {
background-color: #27292D !important; color: #FEFEFE !important;
}
}
a {
color: inherit !important; text-decoration: underline !important;
}
</style><!--[if mso | ie]>
<style type="text/css">
a {
background-color: #FEFEFE !important; color: #010101 !important;
}
@media (prefers-color-scheme: dark) {
a {
background-color: #27292D !important; color: #FEFEFE !important;
}
}
</style>
<![endif]--></head><body class="">
<div style="display: none; max-height: 0px; overflow: hidden;">Anthropic is making a faster version of Claude Opus 4.6 available as an early experiment via Claude Code and its API. It is more expensive to run </div>
<div style="display: none; max-height: 0px; overflow: hidden;">
<br>
</div>
<table align="center" class="document"><tbody><tr><td valign="top">
<table align="center" border="0" cellpadding="0" cellspacing="0" class="container" width="600"><tbody><tr class="inner-body"><td>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr class="header"><td bgcolor="" class="container">
<table width="100%"><tbody><tr><td class="container">
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" style="margin-top: 0px;" width="100%"><tbody><tr><td style="padding: 0px;">
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div style="text-align: center;">
<span style="margin-right: 0px;"><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftldr.tech%2Fai%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/qcbBPHcET2U2M4VUrcTsJiQ3LbveJOfwJw6QEGiPhR8=443" rel="noopener noreferrer" target="_blank"><span>Sign Up</span></a>
|<span style="margin-right: 2px; margin-left: 2px;"><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fadvertise.tldr.tech%2F%3Futm_source=tldrai%26utm_medium=newsletter%26utm_campaign=advertisetopnav/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/yXkJ_4D-ZCcAv21s3zYddveq_4OzjWCgK0-Xl-sA2nY=443" rel="noopener noreferrer" target="_blank"><span>Advertise</span></a></span>|<span style="margin-left: 2px;"><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fa.tldrnewsletter.com%2Fweb-version%3Fep=1%26lc=1571a9f6-84b7-11f0-b464-47c5c04ad337%26p=30422776-05bb-11f1-84bd-e718b1e30bd5%26pt=campaign%26t=1770646607%26s=0cf32fab4dee1012d7e2eaa7e76778d0ccf390111cb4c51f85dfdaf5cb4191c2/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/I-BbrypB6N8rTgkwn9xufOCEU0B3o-yd28T0AcqYw2A=443"><span>View Online</span></a></span>
<br>
</span></div>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="text-align: center;"><span data-darkreader-inline-color="" style="--darkreader-inline-color:#3db3ff; color: rgb(51, 175, 255) !important; font-size: 30px;">T</span><span style="font-size: 30px;"><span data-darkreader-inline-color="" style="color: rgb(232, 192, 96) !important; --darkreader-inline-color:#e8c163; font-size:30px;">L</span><span data-darkreader-inline-color="" style="color: rgb(101, 195, 173) !important; --darkreader-inline-color:#6ec7b2; font-size:30px;">D</span></span><span data-darkreader-inline-color="" style="--darkreader-inline-color:#dd6e6e; color: rgb(220, 107, 107) !important; font-size: 30px;">R</span>
<br>
</td></tr></tbody></table>
<br>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr id="together-with"><td align="center" height="20" style="vertical-align:middle !important;" valign="middle" width="100%"><strong style="vertical-align:middle !important; height: 100%;">Together With </strong>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwelodata.ai%2Fai-data-quality-systems%2F%3Futm_source=tldr-ai-newsletter%26utm_medium=email%26utm_campaign=2026-ad-welo-data-quality-at-scale/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/dsZjlj54YKsoZRi1cwGtq57LFrBf3z2LXtvGSa1ImAU=443"><img src="https://images.tldr.tech/welocalize.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Welocalize"></a></td></tr></tbody></table>
<table style="table-layout: fixed; width:100%;" width="100%"><tbody><tr><td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;">
<div style="text-align: center;">
<h1><strong>TLDR AI <span id="date">2026-02-09</span></strong></h1>
</div>
</td></tr></tbody></table>
<table style="table-layout: fixed; width:100%;" width="100%"><tbody><tr id="sponsy-copy"><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwelodata.ai%2Fai-data-quality-systems%2F%3Futm_source=tldr-ai-newsletter%26utm_medium=email%26utm_campaign=2026-ad-welo-data-quality-at-scale/2/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/I4Gqw2JoDP97SmYW0EtlUr2h5wuEk4cyDGQn180No2s=443">
<span>
<strong>Welo Data: human judgment as AI quality infrastructure (Sponsor)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Human judgment breaks down without systems, and AI quality follows. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwelodata.ai%2Fai-data-quality-systems%2F%3Futm_source=tldr-ai-newsletter%26utm_medium=email%26utm_campaign=2026-ad-welo-data-quality-at-scale/3/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/-biu_y00jMitYlLgLOg7GJd6O_OlWkH8uM-nfJ96B9I=443" rel="noopener noreferrer nofollow" target="_blank"><span>Welo Data</span></a> provides the scaffolding that both humans and AI need to practice robust evaluation at scale.
<p></p>
<p>That includes continuous quality monitoring, structured QA loops, and auditability with traceability.</p>
<p>What does it <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwelodata.ai%2Fai-data-quality-systems%2F%3Futm_source=tldr-ai-newsletter%26utm_medium=email%26utm_campaign=2026-ad-welo-data-quality-at-scale/4/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/jjM1MVNvdDJmefinZQxzfNHxTkgIXgIJkIXiqaqZwaY=443" rel="noopener noreferrer nofollow" target="_blank"><span>look like in practice</span></a>?</p>
<ul>
<li>150M+ tasks processed annually</li>
<li>90%+ evaluator consensus</li>
<li>90%+ audit accuracy</li>
<li>0 security incidents</li>
<li>622% throughput scaling without quality loss</li>
</ul>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwelodata.ai%2Fai-data-quality-systems-human-judgment-at-scale%2F%3Futm_source=tldr-ai-newsletter%26utm_medium=email%26utm_campaign=2026-ad-welo-data-quality-at-scale/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/l7Qkf8og4Kj0l7mDy2FfKggvzab6yhxovX3-eR5BOyA=443" rel="noopener noreferrer nofollow" target="_blank"><span>Start applying human judgment at AI scale</span></a>
</p>
</span></span></div>
</td></tr></tbody></table>
</td></tr></tbody></table>
</td></tr></tbody></table>
</td></tr>
<tr bgcolor=""><td class="container">
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td style="padding: 0px;">
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;"><span style="font-size: 36px;"><span style="font-size:36px;">🚀</span></span></div></div>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;">
<h1><strong>Headlines & Launches</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style="table-layout: fixed; width: 100%;" width="100%"><tbody><tr><td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top">
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fthreadreaderapp.com%2Fthread%2F2020207322124132504.html%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/b6D4-dULtQ4THHqJGa-HbdIZXP0_by5g5wDpGEKqk20=443">
<span>
<strong>Our teams have been building with a 2.5x-faster version of Claude Opus 4.6 (1 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Anthropic is making a faster version of Claude Opus 4.6 available as an early experiment via Claude Code and its API. Fast mode is more expensive to run, but it is 2.5x faster. It is designed for urgent, high-stakes projects. A link to the waitlist for the feature is available in the thread.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.testingcatalog.com%2Fmeta-ai-redies-avacado-manus-agent-and-openclaw-integration%2F%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/N7d-iFq4tMUuUMQT6VBhiBsaLQq1Tx_i9mkTU_jw8hI=443">
<span>
<strong>Meta AI readies Avocado, Manus Agent, and OpenClaw integration (5 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Meta AI is reportedly preparing to release new models named Avocado. It is also adding MCP support and a Memory section to its settings menu. Meta AI has revamped its website to include a lot of additional functionality. The company appears to be working on an AI agent and a browser agent, and a new feature called Tasks that will allow users to schedule recurring executions of Meta AI.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fedition.cnn.com%2F2026%2F02%2F07%2Fbusiness%2Fnvidia-trillion-valuation-ai-chips-vis%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/UfUVJjcUuUZQvX8RTRYjAQXiJH07KcUSIjuNZdAqGxA=443">
<span>
<strong>Nvidia becomes first $5T company; AI chips fuel market value (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Nvidia achieved a historic milestone by briefly surpassing a $5 trillion market valuation, driven by overwhelming demand for its AI chips and dominance in data-center accelerators. Its advanced Blackwell and Rubin GPU platforms power the bulk of large-model training and inference workloads, underpinning investor confidence in continued AI infrastructure growth. This valuation reflects Nvidia's central role in the AI economy and illustrates how hardware leadership translates to extraordinary market value.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;"><span style="font-size: 36px;">🧠</span></div>
</div>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;">
<h1><strong>Deep Dives & Analysis</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style="table-layout: fixed; width: 100%;" width="100%"><tbody><tr><td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top">
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcursor.com%2Fblog%2Fself-driving-codebases%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/YjGBfLzFt6b-LfXXBRz1jStcffVYR2WBpK3bqNttaEk=443">
<span>
<strong>Self-Driving Codebases with Thousands of Agents (14 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Cursor scaled a system where thousands of agents collaboratively coded a functioning web browser with minimal human input, highlighting progress toward autonomous software development.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.turingpost.com%2Fp%2Fnathanlambert%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/GrD06rTcZJMqvq0Fm_gL46dro0cNN1EXRlebA0OndJI=443">
<span>
<strong>Open Models Will Never Catch Up (42 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Open models will probably never catch up with closed ones. However, they don't need to - open models are an engine for exploration in a way that companies can't really nurture. Open models are the main place where experimentation still happens. They will be the engine for the next ten years of AI research.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fweaviate.io%2Fblog%2Flimit-in-the-loop%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/OK3fm2yVVGOGdoMOIdZiSeKUsVXVFWKLs9tp91e1p_Y=443">
<span>
<strong>The Limit in the Loop: Memory as a System Problem (8 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Weaviate discusses the limitations of current LLM applications rooted in session-based design, arguing that solving continuity—carrying context across interactions—requires systemic rather than model-level changes.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjoeljang.github.io%2Fworld-models-for-robotics%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/yRrhznP7ibmupk6yAmOeM15DZ_KgVMCdeAPYcrMMfh4=443">
<span>
<strong>World Models and the Data Problem in Robotics (17 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
World models are trained to predict how the world evolves. They enable generalization that pure action prediction cannot achieve. Combining world models with robotics could create robots that can do everything humans can do. However, this will require a lot of data captured by real people.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;"><span style="font-size: 36px;">🧑💻</span></div>
</div>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;">
<h1><strong>Engineering & Research</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style="table-layout: fixed; width: 100%;" width="100%"><tbody><tr><td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top">
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fhy.tencent.com%2Fresearch%2F100025%3FlangVersion=en%26utm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/eb9UgzBs495sTWJyRiCWNzShGO2Oo1JVzhkU5e7NfTc=443">
<span>
<strong>Learning from context is harder than we thought (9 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The role of humans in AI systems will shift if context learning improves significantly. Humans would focus on context engineering rather than primarily providing training data. Once this is achieved, we then need to focus on making context persistent.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Fpydantic%2Fmonty%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/D6EPO21u7n4LSJnMz4MBTAKTxZvr9kpUurKF9UEFo8A=443">
<span>
<strong>Monty (GitHub Repo)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Monty is a minimal, secure Python interpreter written in Rust for use by AI. It lets users safely run Python code written by agents. Monty completely blocks access to the host environment, and it can only call functions it has access to. It makes it possible to safely run LLM-generated code without the complexity of a sandbox or the risk of running code directly on the host.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fz-lab.ai%2Fprojects%2Fdflash%2F%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/tuMtFBPchSp5A2i--ZasirjKmcv-kKfhyqk-iHcOT54=443">
<span>
<strong>DFlash Speeds Up Speculative Decoding (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
DFlash is a lightweight block diffusion model designed to accelerate speculative decoding in LLMs that achieves up to 6x speedup for Qwen3-8B.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
</div>
</td></tr></tbody></table>
<table bgcolor="" style="table-layout: fixed; width: 100%;" width="100%"><tbody><tr><td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top">
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FmrlMER/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/mMnd2zUJQXet2Bam7awxUBMHUW0_ghzyw_E8VgzU9vQ=443">
<span>
<strong>G's Last Exam (16 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The profession of software engineering has forever changed, but it is still unknown what role humans will exactly play. This post presents a list of the most ambitious and creative software accomplishments by humans. A world in which agents autonomously solve these challenges would be equal parts humbling, exciting, and unsettling.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2F7XnnZR/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/AgkT8hwc8KVbMQ2E4PTEO2RSHpu70ZZrJusHiTyP040=443">
<span>
<strong>Do Markets Believe in Transformative AI? (1 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Transformative technologies influence interest rates by changing growth expectations, increasing uncertainty about growth, or raising concerns about existential risk. There were economically large and statistically significant movements concentrated at longer maturities for US bond yields around major AI model releases in 2023 and 2024. These movements correspond to downward revisions in expected consumption growth and/or a reduction in the perceived probability of extreme outcomes. It appears the markets do not believe in transformative AI.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2F58tMLI/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/FlgEuDGRG-MP-jr1r9duE7qp5mNXrGQOdQl6AcWIGao=443">
<span>
<strong>The Anthropic Hive Mind (16 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
While every company quickly becomes professional and 'grown up', Anthropic still hasn't bothered. It isn't run like any other company of its size. The company's employees describe the company as a hive mind run entirely on vibes. This article takes a look inside one of the leading AI labs, examining the company's culture, history, work style, and more.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;"><span style="font-size: 36px;">⚡</span></div></div>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding-top: 0px; padding-bottom: 0px;">
<div class="text-block">
<div style="text-align: center;">
<h1><strong>Quick Links</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table bgcolor="" style="table-layout: fixed; width: 100%;" width="100%"><tbody><tr><td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top">
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.latent.space%2Fp%2Fadversarial-reasoning%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/Uoy4fIa6SCUx9b4NU_zacGEOwFosA7AX8Z4zvEiWwA4=443">
<span>
<strong>Experts Have World Models. LLMs Have Word Models (18 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
LLMs struggle in adversarial environments because they generate outputs based on static models rather than adaptive world models.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Falperenkeles.com%2Fposts%2Fllms-could-be-but-shouldnt-be-compilers%2F%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/YggV9VJv0rZvks8wCh9nGZ0tHArjEW_mVyOPZUaYDkA=443">
<span>
<strong>LLMs could be, but shouldn't be compilers (8 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Large language models can translate a specification into an executable artifact, but the control relinquished in that translation layer is significant.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwindowsontheory.org%2F2026%2F01%2F27%2Fthoughts-on-claudes-constitution%2F%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/Gg8V3Vyj7-VekuPeXexkSxXDUOSpqjl529ZO5q_GbeA=443">
<span>
<strong>Thoughts on Claude's Constitution (14 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Claude's Constitution is the foundational framework from which Claude's character and values emerge.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fkaitchup.substack.com%2Fp%2Flora-but-with-only-13-parameters%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/qzz-XfPx_Wb1vgjgKWiWi3zJp0zcTcZPaxVyxD1s1o8=443">
<span>
<strong>LoRA but with Only 13 Parameters?? (6 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Meta researchers say they can boost an LLM's math reasoning by updating just 13 parameters.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fthreadreaderapp.com%2Fthread%2F2019566641491963946.html%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/TNg0Mfnjw0Mp-CHhPfEpSszwPTALD4bUjPBE6V-4-5M=443">
<span>
<strong>Software development is undergoing a renaissance in front of our eyes (3 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Adopting AI coding tools requires a deep cultural change that requires companies to figure out a lot of downstream implications.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block">
<span>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fbenn.substack.com%2Fp%2Fthe-gentle-obsolescence%3Futm_source=tldrai/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/8SKFTceylKkNkf8Io_t2qraNLKaRNYjdLO6d6U5GKs8=443">
<span>
<strong>The gentle obsolescence (10 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
AI is becoming more and more capable, and this may make humans obsolete.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td align="left" style="word-break: break-word; vertical-align: top; padding: 5px 10px;">
<p style="padding: 0; margin: 0; font-size: 22px; color: #000000; line-height: 1.6; font-weight: bold;">
Love TLDR? Tell your friends and get rewards!
</p>
</td></tr>
<tr><td class="container" style="padding: 0px 10px 15px;">
<div class="text-block">
Share your referral link below with friends to get free TLDR swag!
</div>
</td></tr>
<tr><td align="left" style="padding: 10px;">
<div class="text-block">
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Frefer.tldr.tech%2F51d793d6%2F2/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/yHos5R32GmfJntXapNtQVhwCv5FkF3rDHbhlEOpu4WY=443" style="color: #464ba4; text-decoration: underline;">https://refer.tldr.tech/51d793d6/2</a>
</div>
</td></tr>
<tr></tr>
<tr><td align="left" style="padding:5px 10px;">
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fhub.sparklp.co%2Fsub_9a4c16be99eb%2F2/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/uEoDDgsrH4Tc3WIhT52ePRzSVl1VZ5IMGvb2cwWJBP0=443" style="font-size: 16px; line-height: 1.6; padding: 10px 0; display: inline-block; text-decoration: underline;"><span style="mso-text-raise:13pt; text-decoration: underline;">Track your referrals here.</span></a>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td align="left" style="word-break: break-word; vertical-align: top; padding: 5px 10px;">
<p style="padding: 0; margin: 0; font-size: 22px; color: #000000; line-height: 1.6; font-weight: bold;">
Want to advertise in TLDR? 📰
</p>
<div class="text-block" style="margin-top: 10px;">
If your company is interested in reaching an audience of AI professionals and decision makers, you may want to <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fadvertise.tldr.tech%2F%3Futm_source=tldrai%26utm_medium=newsletter%26utm_campaign=advertisecta/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/aonl-ocs1xlS-upA-58lKztBIAVFFsgzXhogUNGD5RM=443"><strong><span>advertise with us</span></strong></a>.
</div>
<br>
<!-- New "Want to work at TLDR?" section -->
<p style="padding: 0; margin: 0; font-size: 22px; color: #000000; line-height: 1.6; font-weight: bold;">
Want to work at TLDR? 💼
</p>
<div class="text-block" style="margin-top: 10px;">
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/ltDdwFqivP5vxq2n8gFv3sMf2Jypx5S3X-G_Ea_64HU=443" rel="noopener noreferrer" style="color: #0000EE; text-decoration: underline;" target="_blank"><strong>Apply here</strong></a>,
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech%2Fc227b917-a6a4-40ce-8950-d3e165357871/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/zAsBuDVNiXuH4ZGuSWXTVH7aA4uERAFyo6pBl8_XDtY=443" rel="noopener noreferrer" style="color: #0000EE; text-decoration: underline;" target="_blank"><strong>create your own role</strong></a> or send a friend's resume to <a href="mailto:jobs@tldr.tech" style="color: #0000EE; text-decoration: underline;">jobs@tldr.tech</a> and get $1k if we hire them! TLDR is one of <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Ffeed%2Fupdate%2Furn:li:activity:7401699691039830016%2F/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/tH6KrMxf0nv4w6VjCQ9VBhuaZV4d8fkQ7vdut5QImcw=443" rel="noopener noreferrer" style="color: #0000EE; text-decoration: underline;" target="_blank"><strong>Inc.'s Best Bootstrapped businesses</strong></a> of 2025.
</div>
<br>
<div class="text-block">
If you have any comments or feedback, just respond to this email!
<br>
<br> Thanks for reading,
<br>
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftwitter.com%2Fandrewztan/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/PcMMJ0COxf_YpXMPlUOvoY_X9CUhvXbdsUihtZ0hhE8=443"><span>Andrew Tan</span></a>, <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Faliiaminian%2F/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/nv_TLNu8UzxsIucA0zq0FD7Drens1Y9609ZIWHhLa78=443"><span>Ali Aminian</span></a>, & <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Fjacob-turner-7521a8198%2F/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/21tO3X3leYuHZbJFf7bnKzbDw-mrGC4M34meV-bczwM=443"><span>Jacob Turner</span></a>
<br>
<br>
</div>
<br>
</td></tr></tbody></table>
<table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;">
<div class="text-block" id="testing-id">
<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftldr.tech%2Fai%2Fmanage%3Femail=silk.theater.56%2540fwdnl.com/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/jfgljMbjRH8OjEwyGj-QKczfUCKvp38uA2FJl0FRT4c=443">Manage your subscriptions</a> to our other newsletters on tech, startups, and programming. Or if TLDR AI isn't for you, please <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fa.tldrnewsletter.com%2Funsubscribe%3Fep=1%26l=eedf6b14-3de3-11ed-9a32-0241b9615763%26lc=1571a9f6-84b7-11f0-b464-47c5c04ad337%26p=30422776-05bb-11f1-84bd-e718b1e30bd5%26pt=campaign%26pv=4%26spa=1770645709%26t=1770646607%26s=76c3e3791525773c47bb7d60e07ad4b3234a290ca48054805af1814cc35c5810/1/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/sNJumR8oDseJzKxwk7uMAlKR4tzK9LSDfigLrpZh5QQ=443">unsubscribe</a>.
<br>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
</td></tr></tbody></table>
</td></tr></tbody></table>
</td></tr></tbody></table>
<img alt="" src="http://tracking.tldrnewsletter.com/CI0/0100019c42c31715-7928b07e-2876-4c39-9d34-248f9e2fa990-000000/MtMlOv44H2eqZIAjru3TIMuBJtRyXc1EAnpAvI3gKuI=443" style="display: none; width: 1px; height: 1px;">
</body></html>