<!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;">NVIDIA outlined a broad GTC 2026 slate spanning open foundation model partnerships, agent tooling, and new reasoning and safety models </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/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/IDlINGwuuynqbX-5mJjRK0Gb1Enwb9MUfSU-8hA6UUQ=448" 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/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/4DQHf63t2uXLz_cO3L3AIKsPmbOuxuiIlsSSMdgJRC4=448" 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=15cf8c3e-21f5-11f1-b76b-1778851b6239%26pt=campaign%26t=1773753385%26s=f565b509e757cfbb986f0ddfa521da5f90e1340e33e82eb4fda12cf98341bf26/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/NKT8gxHphpuP8V3utAMgUI51Bfjw-RlNuVg6SLwpuIo=448"><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%2Fsignup.metronome.com%2F%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/IeRVD3y8-ACE-XSGWnYlOqlbEGCXaNaz0hT9cmt222o=448"><img src="https://images.tldr.tech/metronome2.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Metronome"></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">2026-03-17</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%2Fsignup.metronome.com%2F%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/2/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/Aj8uKne9juvS4qWThcGnobZAVgqgUc4Z43O2--RjBQk=448">
<span>
<strong>🆕 A Billing Platform to Help Your Startup Move Faster (Sponsor)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Every AI company eventually hits the same wall: billing. Token-based pricing, usage metering, per-customer rate cards... infra work that eats months of engineering time.<p></p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsignup.metronome.com%2F%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/3/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/Mw_r6R87F8LSCbmc29gRKXBkRYNkwOL6nNmFNx-_kbI=448" rel="noopener noreferrer nofollow" target="_blank"><span>Metronome</span></a> is the platform that companies like Anthropic and Databricks rely on to handle it all: real-time metering, pricing changes in minutes, and billing that can scale from seed stage to revenue in the billions.</p>
<p>🆕 And with their <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsignup.metronome.com%2F%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/4/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/gsyJDukkCJisS9uknQHLWhFhHp1MNUeNxgOSUsEX1xs=448" rel="noopener noreferrer nofollow" target="_blank"><span>new self-serve option</span></a>, it's even easier for AI startups to get up and running:</p>
<p>>> Sign up for a free sandbox</p>
<p>>> Model your pricing</p>
<p>>> Test billing flows before committing anything</p>
<p>✅ Startup-friendly pricing kicks in when you go live.</p>
<p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsignup.metronome.com%2F%3Futm_campaign=monetization-wp%26utm_medium=newsletter%26utm_source=tldr-ai%26utm_content=/5/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/R1crU9uBJSQCDuKBrkEHIkdTbL5Iw0kBjRirRlxwh98=448" rel="noopener noreferrer nofollow" target="_blank"><span>Create a billing experience that can grow with you</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%2Fnvidianews.nvidia.com%2Fonline-press-kit%2Fgtc-2026-news%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/ISFAGBINqcdJhe6x8Nn7OZt7fh6PUFX6GVD8RS2luho=448">
<span>
<strong>NVIDIA Expanded Its AI Stack Across Models, Agents, and Robotics (2 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
NVIDIA outlined a broad GTC 2026 slate spanning open foundation model partnerships, agent tooling, new reasoning and safety models, robotics systems, and healthcare AI for drug discovery and simulation.
</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%2FcsmxKF/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/VGdmyP5FCjX4M4CtccAUdYQYykoUdRfPRFDKqSnBbMc=448">
<span>
<strong>The Former Academic Guiding OpenAI's Trillion-Dollar AI Buildout (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Sachin Katti joined OpenAI in November to serve as its head of industrial compute. Before OpenAI, Katti spent more than 15 years as a Stanford professor and four years working at Intel. Katti now works on finding additional data center capacity and lining up ways to get more components like AI chips and memory. This has proved challenging, as data center operators are contending with power grid constraints, memory chip shortages, and growing pushback from local communities.
</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%2FkBEcQr/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/JcXjOp9k4nyjpV_zDwvlWjz4ylpeuXNfMdL67JN-w6w=448">
<span>
<strong>Alibaba Starts Major Revamp to Heighten Focus on AI Profits (5 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Alibaba is setting up a business unit to bring its AI services and development endeavors under a single umbrella. The new Alibaba Token Hub will comprise the research team that develops the company's flagship Qwen models, its consumer-facing app division, and other major AI-related products. It will also oversee Alibaba's Slack-like DingTalk app and devices under the Quark brand. The revamp will help quicken interaction between the various teams within Alibaba's broader AI effort.
</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%2FF3bqDo/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/D1nP2g2f9WjpW9Sg3su5VgHEg0lPlcdjUBSUNZWIxPU=448">
<span>
<strong>OpenAI to Cut Back on Side Projects in Push to ‘Nail' Core Business (6 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
OpenAI plans to refocus its efforts around coding and business users. Its leaders are actively looking for areas to deprioritize. The company's 'do everything at once' strategy helped it gain a reputation as the pioneer of the AI era. However, it is under growing pressure from rivals, so the company requires a clearer strategic direction.
</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%2Fzakelfassi.com%2Fhow-do-you-want-to-remember%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/ZLzQJqh2VMJ187LgGTlBHVkjrRYlhZEZ177Xyz7iwCA=448">
<span>
<strong>How Do You Want to Remember? (10 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
This developer asked their AI agent how it wants to remember things. The agent redesigned its own memory system, ran a self-eval, diagnosed its blind spots, and improved recall from 60% to 93%, all for just $2. The experiment shows what happens when you treat AI as a participant in its own cognitive architecture.
</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%2Fa16z.com%2Fais-oppenheimer-moment%2F%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/yAc4XBxYmyC-uSEOYVjQWCJPE2UogrnQYLQi2EvL1ic=448">
<span>
<strong>AI's Oppenheimer Moment (8 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
This article draws parallels between nuclear weapons development and AI, arguing that AI poses similar global stakes. Anthropic, a key player in AI, hesitates to grant US government access, reflecting private control dilemmas akin to the hypothetical McBombalds Corp scenario. This raises the debate on whether private entities should control technologies with such immense global impact or if government oversight is more appropriate.
</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%2FRssVKe/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/mpJn8wjkmjF2SeUiIyq4Y9PAnZ_SwFVqf52boznbYco=448">
<span>
<strong>Why Codex Security Skips SAST Reports (6 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
OpenAI explained that Codex Security was designed to analyze repositories directly instead of triaging static analysis reports, focusing on system architecture, trust boundaries, and validating findings before surfacing them to humans. The approach targets semantic security flaws where defenses appear present but fail to actually enforce the intended protection.
</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%2Fwww.dynatrace.com%2Finfo%2Freports%2Fbring-clarity-to-your-ai-systems%2F%3Futm_medium=email%26utm_source=tldr%26utm_campaign=prospect-cloud-ai-observability-hyperframe-observability-for-ai%26utm_content=none%26utm_term=03172026/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/FpjDEQPqTgDI2bdIcaluYonQmADx0eZZ57YfTn6YwXc=448">
<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=prospect-cloud-ai-observability-hyperframe-observability-for-ai%26utm_content=none%26utm_term=03172026/2/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/cFvoIdvHKaR_-5dMP3CCvl-pimdL4R-xtvqqrcc4Ru4=448" 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=prospect-cloud-ai-observability-hyperframe-observability-for-ai%26utm_content=none%26utm_term=03172026/3/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/XgrwQu2fV_p_sATiC6jWK4neBEctPPwn8mfmral8qQk=448" 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=prospect-cloud-ai-observability-hyperframe-observability-for-ai%26utm_content=none%26utm_term=03172026/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/K44npPpq-88L0ORF067Ip76d9uVMkiQFMwAX6I6sYEM=448" 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>
<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%2FNVIDIA%2FOpenShell%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/4XlKH2WGDBvoBZEyLdEpJZtyOtHLbu7EfvA4ngmhXxo=448">
<span>
<strong>OpenShell (GitHub Repo)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
OpenShell is a safe, private runtime for autonomous AI agents that provides sandboxed execution environments that protect data, credentials, and infrastructure. It is governed by declarative YAML policies that prevent unauthorized file access, data exfiltration, and uncontrolled network activity. The OpenShell project ships with agent skills for everything from cluster debugging to policy generation. It will eventually build toward multi-tenant enterprise deployments.
</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%2Fmistral-small-4%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/YOE6909HHCA_ph1X-VBJpI-sgJ6NVuSeYWhh5LAewPM=448">
<span>
<strong>Introducing Mistral Small 4 (5 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Mistral Small 4 integrates the capabilities of Magistral, Pixtral, and Devstral models, offering unified multimodal, reasoning-optimized AI with configurable reasoning effort. It employs a Mixture of Experts architecture with 119B parameters, supporting both text and image inputs, and features efficient scaling. Mistral Small 4 achieves competitive performance with reduced output length, is open-source, and is available on platforms like vLLM, llama.cpp, and Transformers.
</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%2Fsimonwillison.net%2F2026%2FMar%2F16%2Fcodex-subagents%2F%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/8b1uBQTe5YllU-gHujKdW7hwhaKPVt5zsjG2-pDO9YE=448">
<span>
<strong>Use subagents and custom agents in Codex (1 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The subagents pattern is now widely supported in coding agents. Subagents are now generally available in OpenAI Codex. There are default subagents called 'explorer', 'worker', and 'default', but it is unclear what differentiates them. Users can define custom agents with custom instructions and specific 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%2Fmistral.ai%2Fnews%2Fleanstral%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/H-mdqQGpvyUBAUgGWU8A5pSLlRB2mhWpoRN0NZ7y3tY=448">
<span>
<strong>Leanstral (6 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Leanstral is an open-source coding agent designed for Lean 4, a proof assistant capable of expressing complex mathematical objects. It is designed to be highly efficient and is trained for operating in realistic formal repositories. Leanstral's weights were released under an Apache 2.0 license. It can be accessed in an agent mode within Mistral vibe and also through a free API endpoint.
</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%2FDbOr7l/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/ux2DRBqV-rRUDveHMU97oQ6gYli9np1xtE0hYK4JvH4=448">
<span>
<strong>Apple's Cheap AI Bet Could Pay Off Big (5 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Apple will invest $14 billion into AI this year, a tiny amount compared to the $700 billion Amazon, Alphabet, Meta, and Microsoft are investing. The company appears to believe that the AI infrastructure build-out will produce inadequate returns. It is spending less due to a conviction that AI models will commoditize and shrink, that existing product lines will absorb the workloads the cloud was built to serve, and that the durable franchise belongs to whoever owns the customer. Apple is betting on its AI-capable devices rather than centralized infrastructure.
</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%2FXMEuzp/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/VW4FXB5sNwTdN41znyGNHLSfEsYoAt1Lwff9K_QWBh8=448">
<span>
<strong>Can Nvidia's Dominance Survive the Sea Change Under Way in AI Computing? (6 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Nvidia's focus this year at its GTC event shifted to inference, the type of computing required to run models and allow them to respond to user queries. The AI industry is now less concerned with training AI models, which is what GPUs are best at, and more preoccupied with running them and generating profits from end-users. Inference requires different hardware than chips optimized for training. How far ahead the company remains in the AI-infrastructure race will depend largely on how effectively it is able to pivot its product road map from training to inference.
</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.cdata.com%2Flp%2Fai-accuracy-whitepaper%2F%3Futm_source=tldr-ai%26utm_medium=newsletter_0317%26utm_campaign=26Q1_Accuracy_WP/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/GlUD7geuEfqbXVEkHjJVTsGNAkLliCVCr1RDSt5TDp4=448">
<span>
<strong>378 Prompts, Five MCP Servers, a 25% Accuracy Gap (Sponsor)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
We benchmarked five MCP architectures against real enterprise queries. Most were accurate 60–75% of the time. CData Connect AI: 98.5%. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.cdata.com%2Flp%2Fai-accuracy-whitepaper%2F%3Futm_source=tldr-ai%26utm_medium=newsletter_0317%26utm_campaign=26Q1_Accuracy_WP/2/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/pEIndENpAgJZGyd3bqLuZCFikdSMB97uaAyKVa97cLA=448" rel="noopener noreferrer nofollow" target="_blank"><span>The data and testing approach are public.</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%2Fdeveloper.nvidia.com%2Fblog%2Fnvidia-dynamo-1-production-ready%2F%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/aMhY6gfxjARnJA5YgbdYkndgadWwKvx8ngTOdkvJoMw=448">
<span>
<strong>How NVIDIA Dynamo 1.0 Powers Multi-Node Inference at Production Scale (18 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Nvidia Dynamo 1.0 accelerates generative AI and reasoning models in large-scale distributed environments by delivering low-latency, high-throughput distributed inference.
</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%2Ffinance.yahoo.com%2Fnews%2Fexclusive-openai-courts-private-equity-132509339.html%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/E2zo87PVcg__cWF0duWuN24D316ifF6K95a0A8WV0MY=448">
<span>
<strong>OpenAI courts private equity to join enterprise AI venture (4 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The proposed deal could give OpenAI a faster route into corporate adoption while providing PE firms with a potential lifeline for companies in their portfolios that are exposed to AI disruption.
</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%2F2024567162216865922.html%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/5UXyAwmP4Oa1SXaSyYDkEIUSO1U2dMINuctx38WK3hE=448">
<span>
<strong>Wrote down some reflections after 1 year at Anthropic (2 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Drew Bent is the education lead at Anthropic.
</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%2Fhuggingface.co%2Fblog%2Fnvidia%2Fphysical-ai-for-healthcare-robotics%3Futm_source=tldrai/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/-rIOTlBvYVSECMlrW86CAbYsuWZc-dutX4AAIBpjyQk=448">
<span>
<strong>The First Healthcare Robotics Dataset and Foundational Physical AI Models for Healthcare Robotics (6 minute read)</strong>
</span>
</a>
<br>
<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Open-H-Embodiment is a community‑driven healthcare robotics dataset created for the training and evaluation of AI autonomy and world foundation models for healthcare applications.
</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%2F2/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/cOJxEJHV9zJRVfHUpWEKeqUKtEp4v1xB0YqzeLOnBRo=448" 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%2F2/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/uM5tgI7exdU_CxPu_oa-gDoRhPgGcXjuHeOq4dyeGOI=448" 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/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/42OltnNaiJAUzXTBcc1G3FTjGtVIMN66qovl1wVglrY=448"><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/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/VmXNZ98mfgZHWAm3J4ad24H47vgdGFVzPFROsfboKvo=448" 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-d3e165357871/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/Jsd7PbGsX6xudUQQM6UlHq2DXsnIvRz1xEmS2_GUuD4=448" 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/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/azZHBrwvrMMHeMv97u2NISpgTmNLz84sIZd9houSIbs=448" 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/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/l19tG85OUEP50j43tldqWYza20xbfgH0Y0fnKowQCCk=448"><span>Andrew Tan</span></a>, <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Faliiaminian%2F/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/eJxTtaHLN0mCHqlHhhXZT-PLT7lenBlxE6RyTmNNsmY=448"><span>Ali Aminian</span></a>, & <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Fjacob-turner-7521a8198%2F/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/NN4UyZ9QvkG9DM-AYJi8Nq2wL0YwoSwN6Vqm5DHOigo=448"><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/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/RsJ4qZGEKzBEzZFMxvo9NgdRuzQBpLlV571gQnmXFMY=448">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=15cf8c3e-21f5-11f1-b76b-1778851b6239%26pt=campaign%26pv=4%26spa=1773752540%26t=1773753385%26s=dec1cc05fcd362a155a16f208ba46df2fe7f7a915be586cc76c396338ad4436e/1/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/gRKpv7irTXyk0hJE2bwT4b06VZF_sq1xMbS1VWg0Jm8=448">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/CI0/0100019cfbf0c35d-77b20f38-0438-4abb-aa09-239b1cb13fdd-000000/AeHZIFM8UTaSAzlX9l2iMg4wHML7dgfELaSwb8_ZQy4=448" style="display: none; width: 1px; height: 1px;">
</body></html>