Email: CSS overlap detection 🔎, cheaper LLM judges 🤖, private AI glasses 🕶️

Subject:
CSS overlap detection 🔎, cheaper LLM judges 🤖, private AI glasses 🕶️
Received:
9/25/2026, 11:14:53 AM
From:
"TLDR Dev" <dan@tldrnewsletter.com>
To:
silk.theater.56@fwdnl.com
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&lt;div style="display: none; max-height: 0px; overflow: hidden;"&gt;Meta describes using confidential virtual machines and trusted execution environments to run personal-context workloads in the cloud. Remote&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&lt;/div&gt;
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&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Faws.amazon.com%2Fmarketplace%2Fbuild-learn%2Fai-agent-learning-series%3Ftrk=d53e201b-b582-4485-b4ca-0ce41faa8004%26sc_channel=el/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/xQziw5ERgmllmQm7UEn7FQD8uQ-FeBJMh_OYmVeuHGc=452"&gt;&lt;img src="https://images.tldr.tech/awsmarketplace.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="AWS"&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;


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&lt;h1&gt;&lt;strong&gt;&nbsp;TLDR Dev &lt;span id="date"&gt;2026-09-25&lt;/span&gt;&lt;/strong&gt;&lt;/h1&gt;
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                                        &lt;strong&gt;Agent reliability patterns: on-demand guides (Sponsor)&lt;/strong&gt;
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&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Almost right, but not quite” is developers' most-cited AI frustration in Stack Overflow's 2025 survey, and it stops being tolerable once AI agents handle production work. The shift reaches ordinary AI features too. Anything that chains model calls into multi-step work inherits the same failure classes.&lt;p&gt;&lt;/p&gt;&lt;p&gt;Building Agentic Systems on AWS turns them into teachable patterns: on-demand technical guides and workshops on orchestration, state that survives sessions and restarts, failure recovery, human approval gates, and evaluation that tests whether a change made the agent worse. &lt;a class="TypographyPresentation_31345133_root LinkThemeablePresentation LinkThemeablePresentation_450120641_root Surface_311631053_color--selected-text Surface_311631053_color-hover--selected-text-hover Surface_311631053_color-active--selected-text-hover HighlightSol_1625403506_highlightSol HighlightSol_1625403506_buildingBlock HighlightSol_1625403506_highlightSol HighlightSol_1625403506_core HighlightSol_1625403506_buildingBlock" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Faws.amazon.com%2Fmarketplace%2Fbuild-learn%2Fai-agent-learning-series%3Ftrk=d53e201b-b582-4485-b4ca-0ce41faa8004%26sc_channel=el/3/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/hlbLrQnaieLaMe5pj5sSWInZUAqsqSo9lVTTkAzvJ7c=452" rel="noreferrer noopener" target="_blank"&gt;&lt;span&gt;&lt;strong&gt;Start with the agent series in AWS Marketplace&lt;/strong&gt;&lt;/span&gt;&lt;/a&gt;&lt;strong&gt;.&lt;/strong&gt;


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&lt;h1&gt;&lt;strong&gt;Articles &amp; Tutorials&lt;/strong&gt;&lt;/h1&gt;
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                                        &lt;strong&gt;Detect When Elements Overlap with CSS (8 minute read)&lt;/strong&gt;
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&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    This article shows a CSS-only approach to detect overlapping elements with anchor positioning and scroll-driven animations. It uses the result to adapt card layouts without JavaScript, pointing to a new way to build collision-aware interfaces.
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                                        &lt;strong&gt;A Decision-Only Judge Matches GPT-6 on Routine Evals for 0.36% of the Fee (6 minute read)&lt;/strong&gt;
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&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    CMU tested Jev, a judge that returns only a verdict and label probabilities, against 16 LLM and reward-model judges. It comes within three points of GPT-6 on preference and factuality at 277 times lower fees, though it fails on difficult correctness tasks.
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&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🧠&lt;/span&gt;&lt;/div&gt;
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&lt;h1&gt;&lt;strong&gt;Opinions &amp; Advice&lt;/strong&gt;&lt;/h1&gt;
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                                    This essay uses the form of a funeral to reckon with AI making implementation work dramatically cheaper. It argues that engineers remain responsible for judgment, clear definitions of done, and passing hard-won taste on to newcomers.
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                                        &lt;strong&gt;What will make personal AI go big? (11 minute read)&lt;/strong&gt;
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&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Personal AI needs to feel approachable, earn trust through well-timed permission requests, tackle avoided tasks, and suggest useful next steps. It uses Muse to show why proactive ideas and clear ways to manage ongoing work matter more than generic speed.
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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.elenaverna.com%2Fp%2Fwhat-its-like-to-work-at-an-ai-native%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/dsknM-8RgrXW2dL9oOZP2-sgr8Ff0fGLBF1IPclGzCE=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;What it's like to work at an AI-native company (13 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    These field notes describe an organization with fewer titles and meetings, more high-impact individual contributors, and agents with human owners responsible for their output. The trade-off is relentless pace, blurrier ownership, and a greater premium on judgment as everyone gains more leverage.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🚀&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;

&lt;h1&gt;&lt;strong&gt;Launches &amp; Tools&lt;/strong&gt;&lt;/h1&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table style="table-layout: fixed; width: 100%;" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Fdriceroland%2FSearch%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/Z7_FLqTiMHrebRJHQnc3FyL-OfXZexfaY_CM_bJ9hjE=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Search (GitHub Repo)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Search is a small, fast, quiet WebKit browser for macOS with an intentionally minimal interface. It uses the system WebKit engine, which keeps the app small and avoids bundling a second browser engine.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Falchemy-run%2Falchemy%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/2GPrbnAF9uVFi0wAp7nnb40iylmpikr5c01OwO71zN8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Alchemy (GitHub Repo)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Alchemy models cloud infrastructure and application logic as a single type-safe Effect program. It supports AWS and Cloudflare resources, while keeping local development, planning, deployment, testing, and CI in one workflow.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Fstepfun-ai%2FStep-Code%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/kSGiRIlMXX2XmD_8P7ELbHkC0eGkozewhicvGwBoNvs=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Step Code (GitHub Repo)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Step Code is a terminal coding agent that reads code, makes changes, and runs tests. It supports MCP servers, Agent Skills, plugins, multi-agent orchestration, and longer-running task delegation.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;


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&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🎁&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;&lt;strong&gt;&lt;h1&gt;Miscellaneous&lt;/h1&gt;&lt;/strong&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table bgcolor="" style="table-layout: fixed; width: 100%;" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fengineering.fb.com%2F2026%2F09%2F23%2Fsecurity%2Fprivate-processing-meta-ai-glasses%2F%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/z1HWi-aj7FRhNHnjPBRFlDUaVc-J9f9wkYvhxFZP2xU=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Bringing Private Processing to Meta AI Glasses (13 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Meta describes using confidential virtual machines and trusted execution environments to run personal-context workloads in the cloud. Remote attestation lets clients verify the code image before sending data, while the design aims to protect memory even from infrastructure operators.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.datahaskell.org%2Fblog%2F2026%2F09%2F18%2Fwriting-parquet-files-using-haskell.html%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/aZMmq9NDGKdFGZx3kYt724m84UUwgmZkgffBFT2K_zE=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Writing Parquet Files Using Haskell (5 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    This post introduces a Parquet writer in DataHaskell/Dataframe. It centers on the writeParquet function, which takes a dataframe and writes it to Parquet format.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdavekiss.com%2Fblog%2Fi-opened-a-fake-auto-shop-for-ai-agents%2F%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/6CTQujKZrV_Gah8v0H7zQUT5E4ypgYE0sJqDJB-Gt1E=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;I Opened a Fake Auto Shop for AI Agents (7 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    This experiment creates a fictional garage and sends several AI agents to interact with it. It explores what happens when agents encounter a small business on the open web.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;



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&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;⚡&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;div style="text-align: center;"&gt;

&lt;h1&gt;&lt;strong&gt;Quick Links&lt;/strong&gt;&lt;/h1&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fexpo.dev%2F%3Futm_campaign=53237574-2026.09_ThirdParty_TLDR%26utm_source=tldrdev%26utm_medium=newsletter%26utm_term=headline%26utm_content=QuickLink09252026%26sp=_qCYrW5hEwAsMn1XSaM_sj77/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/6lPFLIIETSqxiyMibOH2QvFSTFa3u11D-CGzGRzKNNs=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Don't let your agents start on a mobile app from scratch (Sponsor)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Give them building blocks with Expo MCP. AI app builders like Replit, Emergent, and &lt;em&gt;Any&lt;/em&gt;thing rely on Expo to ship their customers' mobile apps. Cloud simulators coming soon! &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fexpo.dev%2Fservices%2Fsimulators%3Futm_campaign=53237574-2026.09_ThirdParty_TLDR%26utm_source=tldrdev%26utm_medium=newsletter%26utm_term=cta1%26utm_content=QuickLink09252026%26sp=_qCYrW5hEwAsMn1XSaM_sj77/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/uIEFvR_13oaAagE-jRSm7REoSA2Lz-y2IZByQAGnSw8=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Join the waitlist&lt;/span&gt;&lt;/a&gt;
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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.docker.com%2Fblog%2Fmanufacturing-trust-for-ai-agents-keynote%2F%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/CoKJiVG3RLvEv9paAS6wAfes3EwuPndwx5b3qSlOWak=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Manufacturing Trust for AI Agents (Website)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Docker outlines microVM-based Sandboxes, OCI-based Sandbox Kits, and Cloud Sandboxes as a way to constrain, package, and extend agent work.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.google%2Finnovation-and-ai%2Fmodels-and-research%2Fgoogle-research%2Fgoogle-project-suncatcher-facts%2F%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/3zLxgpMimMp1vX6mq63C63QX_uChipJMEnsq5L6jP5Y=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Behind Project Suncatcher, Our Moonshot to Put AI in Space (7 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Google details its first in-orbit TPU test and the research challenges around radiation, cooling, and satellite interconnects for space-based AI compute.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

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&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.sentry.io%2Fbfcache-metrics%2F%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/V1LnIzl9AV7dgicLnZFB7ixpYwcs71_h02v7pfqOumE=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Measuring the Back/Forward Cache with Application Metrics (5 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Sentry explains how its bfcacheMetricsIntegration makes back/forward cache health measurable when ordinary metrics leave cache hits invisible.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td class="container" style="padding: 15px 15px;"&gt;
&lt;div class="text-block"&gt;
&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.braintrust.dev%2Fblog%2Fnitro%3Futm_source=tldrdev/1/010001a0d8467f31-79f0cf5b-8b7f-4b53-9eb2-f9aeb47cbfe7-000000/wnQiw2XzQQAIPTeSqwh-oIwObBLrY0-FubNxCPPIt5o=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Faster Queries for Debugging Production Agents with Nitro (4 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
&lt;/a&gt;
&lt;br&gt;
&lt;br&gt;
&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Braintrust describes Nitro, which separates storage and compute concurrency and made full-text trace searches more than twice as fast in a production A/B test.
                                &lt;/span&gt;
&lt;/span&gt;
&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;

&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;


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