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Distributed AI training is notoriously fragile because losing a single machine typically crashes the entire multi-node job, forcing a time-consuming, full-workload infrastructure restart. To address this, Google’s JAX ecosystem utilizes elastic training via Pathways, which converts a hardware failure into a catchable Python exception so the running process can survive. When an unplanned failure occurs, the system automatically replaces only the broken worker, restores the last viable checkpoint

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): bound tool_search_code stderr accumulation (#101007) * fix(agents): bound tool_search_code stderr accumulation * fix(agents): report latest bounded stderr --------- Co-authored-by: NIO <nocodet@mail.com> Co-authored-by: Vincent Koc <vincentkoc@ieee.org></pre>

Article URL: https://github.com/patrickjh/ssa Comments URL: https://news.ycombinator.com/item?id=48808667 Points: 1 # Comments: 1

A running look — in reverse chronological order — at the bigger tech companies that have announced significant layoffs this year with AI as a stated factor.

<pre style='white-space:pre-wrap;width:81ex'>feat(ios): add Listen action speaking assistant messages via gateway TTS (#100771) * test(gateway): shift advertised-method window for tts.speak * feat(ios): add Listen action speaking assistant messages via gateway TTS * docs(ios): document the chat Listen action * style(ios): keep outbox label doc comment attached and give speech chip its own * fix(ios): harden chat Listen playback * docs(changelog): note iOS chat Listen * fix(ios): unwrap speech MI

Article URL: https://github.com/josephsenior/Grinta-Coding-Agent Comments URL: https://news.ycombinator.com/item?id=48808609 Points: 1 # Comments: 0

Quantum plans to use the proceeds to expand production capacity, strengthen supply chain resilience, and more. The post Quantum Systems raises $1.2B to expand drone production and deployments appeared first on The Robot Report .

Zhipu AI is bringing GLM-5.2 to its ZCode development environment, pitching the model's long-context capabilities for complex coding tasks. New customers get a free five-day trial with up to 5 million tokens per day, and subscribers receive about 1.5 times more token quota through July 2026. The article Zhipu AI launches ZCode to challenge Claude Code and OpenAI Codex at a fraction of the cost appeared first on The Decoder .

Article URL: https://ramp.com/data/heavy-ai-adopters-hire-more Comments URL: https://news.ycombinator.com/item?id=48808498 Points: 2 # Comments: 0

<p> The feedback layer for anything you build with AI. </p> <p> <a href="https://www.producthunt.com/products/dot-7?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1189620?app_id=339">Link</a> </p>

We use sklearn in production for time series forecasting in industrial settings. Pickle was causing us constant pain: refactoring our wrapper classes invalidated saved models, and the binary blobs were completely opaque. We built skeights to decompose a fitted estimator into two files. A JSON file for hyperparameters and structure, and a safetensors file for the numeric arrays. The JSON is human-readable and diffable, and safetensors is a well-established safe format from Hugging Face. This allo

When you build something people REALLY want, you can pull of ridiculous stunts like Claude's pricing: - Vague limits - Weekly/monthly usage stats ?? - 50% of your usage on Fable 5 - $200/mo subscription that doesn't include Fable 5 - But you can use it with "usage credits" I'm frustrated but am also hooked. Kinda of a lesson in startups in a way. Comments URL: https://news.ycombinator.com/item?id=48808413 Points: 3 # Comments: 1

hello HN, let me tell you why i built boilerroom ( https://boilerroom.ai ). throughout my past endeavours in sales, the one thing that thoroughly pissed me off was living in a million places to execute one thing; the outbound motion this includes everything top of funnel like finding leads (be it inbound or outbound), researching, filtering for qualification criteria, throwing them in a sequence, engaging them via dialer, email, and linkedin, gathering context, all the way through bottom of funn

Article URL: https://yl3469.github.io/uniboost-icml26/ Comments URL: https://news.ycombinator.com/item?id=48808378 Points: 2 # Comments: 0

<p>Documentation is often the first product a developer experiences.</p> <p>Before they see your architecture, your engineering culture, or your code quality, they interact with your documentation.</p> <p>If that experience is confusing, incomplete, or frustrating, many developers won't make it to their first successful API request.</p> <p>Over the past few weeks, I've been reviewing documentation from AI startups to understand what makes onboarding smooth—and where teams unintentionally create

<p>I wanted to give <a href="https://github.com/argenkiwi/ambler-ts" rel="noopener noreferrer">AmblerTS</a>, my Deno/TypeScript state-machine framework, the ability to record non-obvious learnings that would otherwise require significant context to reconstruct across sessions.</p> <p>I turned to the classic note-taking methodology developed by the German sociologist <a href="https://en.wikipedia.org/wiki/Niklas_Luhmann" rel="noopener noreferrer">Niklas Luhmann</a>: the <a href="https://en.wikipe

<p><a href="https://github.com/GiulioDER/cca-audit" rel="noopener noreferrer">CCA-Audit — open source (MIT)</a></p> <p>AI code review has a trust problem, and it's not that it misses bugs. It's that it invents them.</p> <p>If you've run an LLM over a diff, you've seen it: a "possible null dereference" on a value that's guarded three lines up. A "SQL injection" your ORM already parameterizes. A "race condition" that can't happen. And then — worse — it confidently rewrites working code to "fix" th

made a fun little website with AI to explain how the Oceans in FFIX are authored after days of slamming my head against the keyboard trying to deconstruct it Comments URL: https://news.ycombinator.com/item?id=48808276 Points: 2 # Comments: 1

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. OpenAI CEO Sam Altman’s oft-discussed promise that Americans will share in the wealth AI creates was in the news again last week. On Thursday, the Financial Times reported that Altman is in…

<pre style='white-space:pre-wrap;width:81ex'>fix(test): skip live auth browser caches (#91907) * fix(test): skip live auth browser caches * fix(test): scope Gemini live auth exclusions --------- Co-authored-by: Peter Steinberger <steipete@gmail.com></pre>

Article URL: https://gamowlabs.com/sota-genome-interpretation-with-agentic-ai.html Comments URL: https://news.ycombinator.com/item?id=48808099 Points: 9 # Comments: 1

Article URL: https://www.botfluencerz.com/ Comments URL: https://news.ycombinator.com/item?id=48808061 Points: 2 # Comments: 0

Article URL: https://www.anthropic.com/research/global-workspace Comments URL: https://news.ycombinator.com/item?id=48808002 Points: 81 # Comments: 17

Is SpaceX working on a mobile device? It seems like it. Here's everything we know so far.

Article URL: https://link.springer.com/book/10.1007/978-3-032-26782-5 Comments URL: https://news.ycombinator.com/item?id=48807971 Points: 2 # Comments: 0

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1up4cjh/lingbotvision_masked_boundary_modeling_for/"> <img src="https://preview.redd.it/ha08vg49bnbh1.png?width=140&height=78&auto=webp&s=cbd1e4aed6c0571b7f0acee245c21543fe356719" alt="LingBot-Vision: masked boundary modeling for self-supervised pretraining (0.296 NYUv2 linear-probe RMSE at 1.1B vs 0.309 for DINOv3-7B, trails on ImageNet); weights in 4 sizes[R]" title="LingBot-Vision: masked boundary modeling for self-su

Article URL: https://github.com/forgedlogicdev/pyforge-memory Comments URL: https://news.ycombinator.com/item?id=48807937 Points: 3 # Comments: 0

At the AI Engineering World's Fair a big part of the conversation was to nail the self improvement loop. Our take on this is to record state of the agent execution with a durable runtime, then allow users to replay from state checkpoints and run 'what-if' experiments. It's OSS and free to use. Would love some feedback from the community. Comments URL: https://news.ycombinator.com/item?id=48807786 Points: 1 # Comments: 0

Article URL: https://github.com/rwusmm-dc/4x11Engine Comments URL: https://news.ycombinator.com/item?id=48807757 Points: 2 # Comments: 1

Comments

OpenAI's GPT-4 led the Epoch Capabilities Index for about a year, far longer than any model since. Since Claude 3 Opus took the top spot in February 2024, the lead has changed hands 17 times, with a median stay of just seven weeks. Competition is fiercer now, but the capability gains between models are shrinking. The article GPT-4's dominance lasted a year while today's top models barely survive seven weeks at the top appeared first on The Decoder .

Article URL: https://www.youtube.com/watch?v=ForO33IynkA Comments URL: https://news.ycombinator.com/item?id=48807601 Points: 2 # Comments: 0

<!-- SC_OFF --><div class="md"><blockquote> </blockquote> <p><strong>Body:</strong></p> <blockquote> </blockquote> </div><!-- SC_ON --> submitted by <a href="https://www.reddit.com/user/Unlikely_Let_9147"> /u/Unlikely_Let_9147 </a> <br/> <span><a href="https://www.reddit.com/r/MachineLearning/comments/1up3kby/edge_ai_asl_recognition_on_raspberry_pi_5_looking/">[link]</a></span> <span><a href="https://www.reddit.com/r/MachineLearning/comments/1up3kby/edge_ai_asl_recognition_on_raspberry_pi_5_look

Article URL: https://gizmodo.com/marc-andreessen-says-one-job-is-mostly-safe-from-ai-venture-capitalist-2000596506 Comments URL: https://news.ycombinator.com/item?id=48807548 Points: 16 # Comments: 15

PSA: A change to Google's privacy settings let it train its AI on more of your data. Here's how to opt out.

In this post, we walk through how to get started with MiniMax models on Amazon Bedrock, including the capabilities supported by these models, the service tiers available, how on-demand inference scales to handle your workloads, and the different APIs you can use to access them. Using these models, customers can build agentic applications, long-context document analysis pipelines, and software engineering workflows, all backed by the security and operational guarantees of AWS.

In this post, you deploy a two-phase infrastructure for multi-turn RL using Amazon Nova Forge on Amazon SageMaker HyperPod. By the end, you have an event-driven pipeline that starts training when you upload data to Amazon Simple Storage Service (Amazon S3). The training job teaches the model to play Wordle, a placeholder for your own RL task.

In this post, we present a multi-step pipeline directed by Amazon Nova, which uses its contextual vision reasoning to coordinate complementary tools, including Meta’s open-source Segment Anything Model (SAM 3) deployed on Amazon SageMaker AI for pixel-level segmentation, and Amazon Textract for optical character recognition (OCR). This pipeline is designed to provide comprehensive and compliant PII redaction even for challenging edge cases such as fingerprints, ID cards, or license plates in arb

<p>Thousands of gaming jobs will be shed over the coming fiscal year as Microsoft continues to invest heavily in AI</p><p>Microsoft said on Monday it was eliminating about 4,800 jobs – roughly 2% of its global workforce – in a cost-cutting move that will deliver a sweeping restructuring of its struggling Xbox gaming division.</p><p>The cuts include the deepest overhaul in Xbox’s history, with approximately 3,200 gaming jobs to be shed over the coming fiscal year, four game studios being spun off

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatically stream experiment data into a unified tracking interface. This integration streams metrics, parameters, and charts into your serverless Amazon SageMaker MLflow App in real time and you get a unified experiment tracking experience.