<!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;">OpenAI is preparing to roll out its next generation of image generation models. Two new models have appeared on online evaluation platforms </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/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/zzHSkzeTcsDxS7mKN72Al0PdtQifoIg_4PIkzHru-KA=435" 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/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/TGDLxlvonoBlkaQNSCHAH4goUa47Z5Q-fPNfy18Adnc=435" 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=ca3e8ace-d5c1-11f0-8bfd-239cbc48e78f%26pt=campaign%26t=1765376162%26s=9cb77f91a83f1adf20d1b224dc7c900c65cec6d1d9df245499bce17f2dc8dbf0/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/cPGxkpnfbIc2D3asGvRsAbAMzEqAKkagheXneWt4EdQ=435"><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%2Fwww.dynatrace.com%2Finfo%2Freports%2Fbring-clarity-to-your-ai-systems%2F%3Futm_medium=email%26utm_source=tldr%26utm_campaign=cloud-ai-observability-hyperframe-observability-for-ai%26utm_term=111425/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/pfh1zmJMYdmWzHxOeKyMyxJvif6oFqGJVl8jWe5wR-g=435"><img src="https://images.tldr.tech/dynatrace.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Dynatrace"></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">2025-12-10</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%2Fwww.dynatrace.com%2Finfo%2Freports%2Fbring-clarity-to-your-ai-systems%2F%3Futm_medium=email%26utm_source=tldr%26utm_campaign=cloud-ai-observability-hyperframe-observability-for-ai%26utm_term=111425/2/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/GkbtmUXy6aaMB8-QlZlydGmcX1ygzMst4lNlOXKxcpQ=435">
<span>
<strong>Observability for agentic AI and LLMs: 6 recommendations (Sponsor)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Agentic AI and GenAI are powerful but unpredictable. It's not just hallucination - they regularly take entirely new paths through established workflows.<p></p><p>This <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.dynatrace.com%2Finfo%2Freports%2Fbring-clarity-to-your-ai-systems%2F%3Futm_medium=email%26utm_source=tldr%26utm_campaign=cloud-ai-observability-hyperframe-observability-for-ai%26utm_term=111425/3/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/G9bU_yBKRhQq_6VySWmndszl1_jcIBAyJwHR1uTGGQc=435" rel="noopener noreferrer nofollow" target="_blank"><span>Dynatrace report</span></a> lays out <strong>six pragmatic observability recommendations</strong> for practitioners managing agentic AI and GenAI workloads. Learn to look beyond monitoring, spot escalating costs, and catch critical issues early. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.dynatrace.com%2Finfo%2Freports%2Fbring-clarity-to-your-ai-systems%2F%3Futm_medium=email%26utm_source=tldr%26utm_campaign=cloud-ai-observability-hyperframe-observability-for-ai%26utm_term=111425/4/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/tScG9tFeRjXQSO-gfb_gn5ZaQiw07aiU2WNhyvbLpKo=435" rel="noopener noreferrer nofollow" target="_blank"><span>Read the report</span></a></p>
<p>Want to check it out firsthand? Experiment with AI observability tools in the <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.dynatrace.com%2Fsignup%2Fplayground%2F%3Futm_medium=email%26utm_source=tldr%26utm_campaign=cloud-ai-observability-hyperframe-observability-for-ai%26utm_term=111425/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/hZeW7TeJeKERiTWbt60Z3pAV3O90HieDLZZBvI9M8G4=435" rel="noopener noreferrer nofollow" target="_blank"><span>Dynatrace Playground</span></a> - where you can explore sample data without installing any software.
</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%2Fwww.testingcatalog.com%2Fopenai-testing-new-image-2-models-on-lm-arena%2F%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/rihMA062T0QTjbF_IrmCN3ut0Q6hh2o3H7aUs_-rkRg=435">
<span>
<strong>OpenAI testing new Image-2 models on LM Arena (2 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
OpenAI is preparing to roll out its next generation of image generation models along with GPT-5.2. Two new models have appeared on online evaluation platforms. Early testers note a substantial increase in image detail and fidelity. The upgrade brings OpenAI's image generation closer to the standard set by Google Nano Banana 2. Examples of images generated with the models are available in the article.
</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.ai%2Fblog%2Fglm-4.6v%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/C8wvkGTh0maVIApDYc2UGnhdbUnmi9XwqGyX1T7Ag-A=435">
<span>
<strong>GLM-4.6V: Open Source Multimodal Models with Native Tool Use (7 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
GLM-4.6V (106B), a foundation model designed for cloud and high-performance cluster scenarios, and GLM-4.6V-Flash (9B), a lightweight model optimized for local deployment and low-latency applications, have been open-sourced. GLM-4.6V scales its context window to 128k tokens in training. It achieves SoTA performance in visual understanding and reasoning among models of similar parameter scales. The model has native Function Calling capabilities.
</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%2Fmistral.ai%2Fnews%2Fdevstral-2-vibe-cli%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/QjCPO8IaCdLL19EcSW9puyIWLRWjW6C8zH03Z9RWKU0=435">
<span>
<strong>Introducing Devstral2 and Mistral Vibe CLI (5 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Devstral 2 hits 72.2% on SWE-bench Verified with 123B parameters, making it one of the best open-weight coding models despite being a fraction of the size of its peers. The 24B Devstral Small 2 scores 68.0% and runs on consumer hardware. Mistral also launched Vibe CLI, an open-source terminal agent that orchestrates multi-file changes across codebases.
</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%2Fdejan.ai%2Fblog%2Freport-ai-workplace%2F%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/QxHtlGI-1VWujBnYgZKOf_RQzRFFxAUOck-ZVgT3SvY=435">
<span>
<strong>How People Use AI at Work (12 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Professionals use AI for grunt work and first drafts. It is never trusted without supervision. Artists use AI to handle admin work so they have more time for creative work. Researchers find that the time required to fact-check AI output often negates the efficiency gains. The primary barrier to AI adoption is hallucination.
</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%2Fmenlovc.com%2Fperspective%2F2025-the-state-of-generative-ai-in-the-enterprise%2F%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/3AXeEs0flqVvH4kR_ABT7XedDpxyYHw_aIV4GGM7Ses=435">
<span>
<strong>2025: The State of Generative AI in the Enterprise (32 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The shift to enterprise AI is no longer speculative. Enterprise AI is now a $37 billion market. It is the fastest-scaling category in software history. AI is becoming the core of how work gets done across industries, and enterprises, seeing real returns, are doubling down.
</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.argmin.net%2Fp%2Fthere-is-no-data-generating-distribution%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/i9-CqUG5U0ZeHb9APXvt5y5sxWljw0hZ1FSuu5c592g=435">
<span>
<strong>There is no data-generating distribution (8 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The data-generating distribution is a convenient mnemonic crutch for machine learning engineers. However, it isn't necessary for understanding machine learning. The same methods are used regardless of whether the world is producing randomness. We need to figure out when we actually need statistical models of data.
</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%2FEDxRfQ/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/OvNAiIPDzYhXDM-NrZLG0wuyTBpupUVN0ovfsUPPPbY=435">
<span>
<strong>How People Use AI Agents (7 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
A large-scale usage study from Perplexity and Harvard reveals that over half of AI agent tasks involve deep cognitive work like research and productivity, challenging the stereotype of agents as simple task-doers.
</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%2Fwandb.ai%2Fsite%2Fresources%2Fwhitepapers%2Freinforcement-learning-ebook%3Futm_source=tldr-ai%26utm_medium=cpc%26utm_campaign=weave%26utm_content=RL%26utm_term=newsletter/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/gcoAVuubIyBJ_Z1N_q7TiN2g7C1QYQmNniqlvJWVAoI=435">
<span>
<strong>Practitioner's guide to reinforcement learning, from Weights & Biases (Sponsor)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
RL has been touted as the direct path to AGI, while others dismiss it as a dead end. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwandb.ai%2Fsite%2Fresources%2Fwhitepapers%2Freinforcement-learning-ebook%3Futm_source=tldr-ai%26utm_medium=cpc%26utm_campaign=weave%26utm_content=RL%26utm_term=newsletter/2/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/yRP1FAgQXbBMkmzyPKXJfkmiSInOhRjPmRVMrbEgjVk=435" rel="noopener noreferrer nofollow" target="_blank"><span>Learn how and when RL works best</span></a>, where SFT, LoRA, and GRPO fit in, and about the benefits of new Serverless RL from Weights & Biases. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwandb.ai%2Fsite%2Fresources%2Fwhitepapers%2Freinforcement-learning-ebook%3Futm_source=tldr-ai%26utm_medium=cpc%26utm_campaign=weave%26utm_content=RL%26utm_term=newsletter/3/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/maXFwBD6Dm-5N_ZDdluJtlPZ8RGAd_HD6uLVUg9n7a8=435" rel="noopener noreferrer nofollow" target="_blank"><span>Get the guide here</span></a>.
</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%2Fcloud.google.com%2Fblog%2Fproducts%2Fai-machine-learning%2Falphaevolve-on-google-cloud%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/uc-N5ontX_bg-bLq8RQQmDVi2W8WxMtQAawKSQwwmis=435">
<span>
<strong>AlphaEvolve on Google Cloud: AI for agentic discovery and optimization (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
AlphaEvolve, now on Google Cloud in private preview, leverages Gemini models to optimize complex problems by evolving algorithms through mutation and evaluation. The technology has improved data center efficiency, reduced Gemini's training time, and accelerated TPU design at Google. Various industries, including biotech and logistics, can use it to solve proprietary optimization challenges.
</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%2Ffranciszzj.github.io%2FSaber%2F%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/ov257F0CmsgJu5gbLJJ29cHyyJE0dcUeg83261EI4Ko=435">
<span>
<strong>Reference-to-Video Generation (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Saber is a zero-shot video generation framework that creates identity-consistent videos from reference images and text prompts, trained only on video-text pairs. It avoids costly triplet data by using masked video frames and custom attention to learn identity features.
</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%2Farxiv.org%2Fhtml%2F2510.14901%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/UJWugZxYfgYWpCst_xuES1mcBStv4bWRb9VZNL6cN9o=435">
<span>
<strong>Reasoning with Sampling: Your Base Model is Smarter Than You Think (18 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Reasoning skills unlocked by reinforcement learning may already exist in base models. Harvard researchers propose "power sampling," which biases generation toward tokens with high-likelihood completions rather than tokens with many mediocre completions.
</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%2Fwww.anthropic.com%2Fnews%2Fanthropic-accenture-partnership%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/ldbFjh7TG0lScC__xo27CEPatHnuXFNmsJ2VQLPwQEY=435">
<span>
<strong>Anthropic and Accenture Expand Enterprise AI Partnership (6 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Anthropic and Accenture launched a dedicated business group to accelerate enterprise AI deployment using Claude. With 30,000 professionals trained on Claude and solutions targeting regulated industries, the partnership aims to move companies from pilot projects to full-scale production.
</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.anthropic.com%2Fnews%2Fdonating-the-model-context-protocol-and-establishing-of-the-agentic-ai-foundation%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/Sy-zwUMlbwBOFrTcSgbxKxLHU2scoMOlP_sAAxfeBmU=435">
<span>
<strong>MCP Donated to Agentic AI Foundation (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Anthropic has donated the Model Context Protocol (MCP) to the new Agentic AI Foundation under the Linux Foundation. MCP has become a widely adopted interoperability standard across AI platforms and infrastructure. It is supported by major industry players like AWS, Google, and Microsoft.
</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%2Fmiro.com%2Fwebinars%2Fproduct-masterclass-2025%2F%3Futm_campaign=glb-26q4-nsp-wb-hi-c3_o2-fy26_product_masterclass_webinars%26utm_source=tldr%26utm_medium=email%26utm_content=webinar%2520-%2520high%2520intent%26src=-tldr_glb/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/lPnrhB_GJcRzM1_NSbVWvGi4WOMY82qUfz9kvY5OGsg=435">
<span>
<strong>Looking for a practical AI workflow for product development? Watch Miro's 3-part masterclass (Sponsor)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Learn about ROI models, implementations steps, and AI prototyping vs traditional design tools. Each session includes practical frameworks, and 25 minutes of Q&A. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmiro.com%2Fwebinars%2Fproduct-masterclass-2025%2F%3Futm_campaign=glb-26q4-nsp-wb-hi-c3_o2-fy26_product_masterclass_webinars%26utm_source=tldr%26utm_medium=email%26utm_content=webinar%2520-%2520high%2520intent%26src=-tldr_glb/2/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/UgDn6UIy9IN1HpSSLgj0cDn_CHCR0ZMD7-z0oOnGX4c=435" rel="noopener noreferrer nofollow" target="_blank"><span>Watch all three sessions, free</span></a>
</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%2Ftechcrunch.com%2F2025%2F12%2F09%2Funconventional-ai-confirms-its-massive-475m-seed-round%2F%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/rz7Ak_sLefdXUuak08GZzAKXrwigM1IsC6HJrIjtFyQ=435">
<span>
<strong>Unconventional AI confirms its massive $475M seed round (1 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Naveen Rao, who sold MosaicML to Databricks for $1.3B, is building energy-efficient AI hardware with the goal of matching biological efficiency.
</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%2FwQaQL5/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/yo6FSJHb05mows6QhPHoZzO0Bz3szWNTVe8FCelaIL8=435">
<span>
<strong>CEOs Are All-In on AI (3 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
CEOs are bullish on the broad economic impact of AI, but they also expect it to weaken the job market.
</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.wired.com%2Fstory%2Fslack-ceo-denise-dresser-joins-openai-chief-revenue-officer%2F%3Futm_source=tldrai/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/uQK6Ff21Cc_qVOZEdi-Q2oPI5p7IxrGLHBx5Mz9ChJk=435">
<span>
<strong>OpenAI Hires Slack CEO as New Chief Revenue Officer (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Denise Dresser is leaving Slack after 14 years at Salesforce to head OpenAI's enterprise unit.
</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%2FVsw5D8/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/OsSSgsoKlu76IRIkUrCFpcxhSu2Q7qznUCGhY_MX_nQ=435">
<span>
<strong>The Abundance Paradox and AI's Impact on IP Value (8 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Netflix's 82B purchase of Warner Bros. underscores how iconic IP gains value as AI drives content production costs toward zero.
</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%2F2/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/eQT-V8hmsU3Bfu00eBIYDWUyrBh1ID2I_hsbv1k4d04=435" 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%2F2/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/FJAryG59gHPAxJdHljKEvJ-OxqPko1CsXSK47v7ItTg=435" 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/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/s93pSA1YJOQhqbBtb5VVZXZTttTnLniw3likhHmWTuI=435"><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/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/8hjpBVepBklGLOJFGRdQJQVkDTQ63kaXhtB0h3yaoVY=435" 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-d3e165357871/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/o8WwHZ9gKmm0adFsV296L0rTkdnwIEpG2eX-H3ChM4c=435" 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/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/FMvs7zHPXpFkOcjUiRqX_k-TXFR1Zw68m8fvMsNjUZ8=435" 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/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/xBUdfqDr1qcMrp4l60W5M0WQYiCbFoemmujHWgj274Y=435"><span>Andrew Tan</span></a>, <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Faliiaminian%2F/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/-BGGo_5xJYro90JgDGP_WNTIhNTMBlNxHox8hueNZro=435"><span>Ali Aminian</span></a>, & <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Fjacob-turner-7521a8198%2F/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/FYdY8E6465pLpZ9kqYVTqSeJqpaqO7Oj0IDYMe-cT20=435"><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/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/BlnONBdB4cnYlgJew_YyJo37MQhuqR-l2yrdRB763VI=435">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=ca3e8ace-d5c1-11f0-8bfd-239cbc48e78f%26pt=campaign%26pv=4%26spa=1765375403%26t=1765376162%26s=4ba9a9bcad803d9c47854cb9b6f75c29b7c3ce49cb3ee715a3a6c3349ac74a36/1/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/oHCdvcr5n0Pf5agUMKDe0AZZLRnxt5L-LnBVixpvrwQ=435">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/CI0/0100019b089e7914-9dfb59b1-896b-4339-972d-baad0db983d7-000000/v0N7ffpEwYkHCUevB5Qa4Ts0LLuCtqJhc74SkERBH6c=435" style="display: none; width: 1px; height: 1px;">
</body></html>