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The Robot ReportRobotics

Deep dive into ARM’s physical AI and robotics strategies with Drew Henry

ARM’s Drew Henry discusses the future of physical AI, robotics, and autonomous systems built for real-world constraints. The post Deep dive into ARM’s physical AI and robotics strategies with Drew Henry appeared first on The Robot Report .

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Deep dive into ARM’s physical AI and robotics strategies with Drew Henry
Hacker News: Show HN

Show HN: An eligibility agent focused on claims denials

Article URL: https://www.substrateai.com/blog/introducing-the-substrate-eligibility-agent Comments URL: https://news.ycombinator.com/item?id=48653421 Points: 1 # Comments: 0

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Hacker News AILLMs

Stop asking AI if your startup idea is good

Article URL: https://www.idea-launch.io/learn/ai-idea-validator-vs-real-demand-signals Comments URL: https://news.ycombinator.com/item?id=48653414 Points: 1 # Comments: 2

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NVIDIA BlogResearch

NVIDIA and AWS Collaborate to Bring AI to Production at Scale

Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational complexity. NVIDIA’s latest work with Amazon Web Services (AWS) addresses each of those constraints. Across Amazon OpenSearch and Amazon EC2, NVIDIA AI infrastructure is giving enterprises more practical paths to deploy […]

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Vercel Blog

GLM 5.2 Fast via Wafer now available on AI Gateway

GLM 5.2 Fast via Wafer is now available on AI Gateway . Based on our own benchmarking across small-context, large-context, and tool-call scenarios, Wafer delivers a 2x higher throughput than other providers serving GLM-5.2 on serverless, leading on decode and end-to-end speed for sustained generation in the small- and large-context cases. In our testing, GLM 5.2 Fast on Wafer measured: Small context: 170+ tok/s Large context: 200+ tok/s To use GLM 5.2 Fast, set model to zai/glm-5.2-fast in the A

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MarkTechPostResearch

Mistral OCR 4 Brings Citation-Ready Structured Output to RAG, Agentic, and Enterprise Search Pipelines

Mistral AI released OCR 4 on June 23, 2026, moving from clean text extraction to structured document output. Each block returns a bounding box, a typed classification, and per-page and per-word confidence scores. The model supports 170 languages, runs in a single self-hosted container, and feeds citation-ready inputs into RAG, agentic, and enterprise search pipelines through one API endpoint. The post Mistral OCR 4 Brings Citation-Ready Structured Output to RAG, Agentic, and Enterprise Search Pi

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Hacker News AILLMs

AI systems out-persuade expert humans

Article URL: https://arxiv.org/abs/2606.16475 Comments URL: https://news.ycombinator.com/item?id=48653162 Points: 1 # Comments: 2

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Product HuntTools

Modelence Mobile Builder

<p> Build mobile apps by chatting with AI </p> <p> <a href="https://www.producthunt.com/products/modelence-app-builder?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/1179515?app_id=339">Link</a> </p>

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Dev.to

Running a LangGraph ReAct Agent in Production: OpenAI-Compatible API + Multi-Model Gateway + One-Line Tracing

<p>Most LangGraph content stops at the notebook. You build a cute ReAct loop, it answers one question, and the article ends before the hard part: <em>how do you actually serve this thing, swap models without a rewrite, and see what it's doing when it misbehaves?</em></p> <p>This post walks through a small but <strong>production-shaped</strong> LangGraph deployment: a RAG ReAct agent that</p> <ul> <li>exposes an <strong>OpenAI-compatible HTTP API</strong>, so any OpenAI client (Open WebUI, the <c

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Dev.to

How LLM Tokens Work (And Why They Explain Your AI Bill)

<p>Your LLM never reads your words — it reads tokens. And almost every surprise on your AI bill traces back to that one fact. Here's the breakdown 👇</p> <p> <iframe src="https://www.youtube.com/embed/4NO1EJPnWXQ"> </iframe> </p> <p>Here's the thing almost nobody internalizes about large language models: <strong>Claude never reads your words.</strong> It reads <em>tokens</em> — numbers. Your prompt is chopped into pieces, each piece is mapped to an integer, and the model only ever sees those int

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Hacker News AILLMs

Tech Slide Deepens as AI Fears Get Worse

Article URL: https://www.wsj.com/livecoverage/stock-market-today-dow-sp-500-nasdaq-06-23-2026 Comments URL: https://news.ycombinator.com/item?id=48652564 Points: 4 # Comments: 1

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Dev.to

LeetCode Like a Jedi: The Ultimate Beginner Study Plan

<h2> The Quest Begins (The "Why") </h2> <p>I still remember the first time I opened LeetCode feeling like a wide‑eyed Padawan staring at a holocron. I’d pick a problem, stare at the solution for ten minutes, copy it, move on, and then feel completely lost when a slightly different prompt showed up. It was like trying to wield a lightsaber without ever feeling the Force—lots of motion, zero impact. I knew I was grinding, but I wasn’t getting stronger. The frustration built up until I realized I w

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Dev.to

Discrete MCP tools vs execute_code: when each wins

<p>When we wanted our boat agents to read SignalK — wind, position, battery,<br> depth — over MCP, there was already a capable server for it:<br> <a href="https://github.com/VesselSense/signalk-mcp-server" rel="noopener noreferrer">VesselSense/signalk-mcp-server</a><br> (TypeScript, MIT). It's well built. Our prime directive says use existing<br> tools before building your own, and we take that seriously — our ship's log<br> is <a href="https://github.com/meri-imperiumi/signalk-logbook" rel="noo

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Dev.to

Adopt vs build: why we deleted our working logbook for SignalK

<p>Our boat agents log moments by voice: "log this moment" → an entry with<br> position, time, and conditions. The first version of<br> <a href="https://github.com/sailingnaturali/logbook-mcp" rel="noopener noreferrer">logbook-mcp</a> backed that<br> with SQLite on the agent machine. It worked. It had tests. It shipped.</p> <p>Then we audited it against the SignalK logbook ecosystem and deleted the<br> entire storage layer.</p> <h2> The audit </h2> <p>Our prime directive is <em>use or improve ex

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Dev.to

Análisis de APIs para agentes autónomos: patrones en Prowl

<h2> Resumen </h2> <p>Este artículo examina cinco APIs listadas en Prowl, todas con score n/a. Aunque no hay ranking cuantitativo, el contexto permite identificar patrones de diseño en plataformas orientadas a agentes autónomos y procesos distribuidos.</p> <h2> APIs analizadas </h2> <h3> Apumail </h3> <p>API nativa para agentes, con capacidad de crear y leer correos electrónicos sobre un API de texto plano. Soporta content negotiation (text/plain para agentes, HTML para humanos). Esto es relevan

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Dev.to

# Stop Paying AI to Read Garbage Job Posts (And Help Us Build the Antidote)

<p>Let’s be honest: hunting for a tech job right now feels like screaming into a void that occasionally auto-replies with "Unfortunately, we are moving forward with other candidates."</p> <p>Naturally, as engineers, our first instinct is to automate the screaming. We build scrapers. We hook them up to GPT-4. We send it 500 job descriptions a day and say, <em>"Hey AI, tell me if I'm qualified for this Senior PHP role."</em> </p> <p>And then the OpenAI bill arrives. Congratulations, you are now un

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Dev.to

Four 2026 Trust Failures You Can't Out-Patch (AUR, PAN-OS, Cisco SD-WAN, PeopleSoft)

<p>Every keynote this spring told us the same thing: AI compressed the gap between disclosure and weaponization, so the answer is to patch faster. Fine. But I went back through what actually got exploited over the last several weeks, and most of the worst of it would not have cared how fast you patched. The bugs were not clever. They were trust assumptions and missing integrity checks we have had named CWE categories for since before half of you started writing code. Here is the mechanism on fou

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Hacker News: Show HN

Show HN: AnswerJournal – An MCP server to save and share AI answers

AnswerJournal is a simple MCP server (only 7 tools) to save and share AI answers. Answers can be public or private and live on your own personal feed. Connect to an MCP compatible AI and just say "save that to my AnswerJournal" during any conversation. Comments URL: https://news.ycombinator.com/item?id=48652354 Points: 1 # Comments: 0

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Hacker News AILLMs

America's data-centre backlash puts the AI boom at risk

Article URL: https://www.economist.com/business/2026/06/23/americas-data-centre-backlash-puts-the-ai-boom-at-risk Comments URL: https://news.ycombinator.com/item?id=48652212 Points: 2 # Comments: 1

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The Verge

Hollywood is bending the knee to OpenAI

Netflix, A24, Focus Features, and Warner Bros.' Clockwork have all reportedly decided to pass on picking up Artificial - director Luca Guadagnino's new biographical drama about OpenAI cofounder / CEO Sam Altman - for distribution deals. And while Neon and Mubi are still said to be interested in the film, this situation makes it seem […]

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Hollywood is bending the knee to OpenAI