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Enterprise Document Intelligence [Vol.1 #8A] - The schema is the contract: every field is a question the pipeline asks the model, and every answer is checkable The post Stop Returning Text from RAG: The Typed Answer Contract That Prevents Hallucination appeared first on Towards Data Science .

Article URL: https://www.npmjs.com/package/owthorize Comments URL: https://news.ycombinator.com/item?id=48785072 Points: 1 # Comments: 0

Article URL: https://codezero.build/en/blog/0.0.0-canary-2651542634 Comments URL: https://news.ycombinator.com/item?id=48785063 Points: 1 # Comments: 0

Article URL: https://github.com/nmxmxh/foundation Comments URL: https://news.ycombinator.com/item?id=48785026 Points: 3 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>fix(anthropic): fall back to Claude Opus 4.8 when Fable 5 safety classifiers decline a request (#99906) Claude Fable 5 requests on direct Anthropic API keys now opt into Anthropic's server-side fallback (server-side-fallback-2026-06-01): a safety-classifier decline is re-served by claude-opus-4-8 inside the same call instead of failing the turn with "LLM request failed.". Mid-stream boundaries drop the declined model's thinking/tool blocks per Anthrop

Anthropic developer Thariq Shihipar argues that with Claude's new model, Fable 5, the bottleneck is no longer the model itself but the user's blind spots. He describes techniques like blindspot passes and structured interviews that programmers can use to systematically uncover their unconscious knowledge gaps before handing implementation off to Claude. The article Anthropic developer shares prompting tips for Fable 5 that focus on finding your own blind spots first appeared first on The Decoder

Avride uses vision-language models, or VLMs, to improve the environmental awareness of its delivery robots. The post Context is king: How Avride uses cloud VLMs as a safety net for delivery robots appeared first on The Robot Report .

Article URL: https://mstrada.me/posts/aicybersec Comments URL: https://news.ycombinator.com/item?id=48784878 Points: 5 # Comments: 0

<blockquote> <p><em>An astrolabe doesn’t map every star. It gives you a way to find your position relative to the ones that hold still.</em></p> </blockquote> <p>That’s the instrument I reach for when someone asks which AI tool they should be using. The honest answer is that the tools will be different in six months. The layers won’t.</p> <p>I spent a week trying to make sense of a handful of names that kept showing up in the same conversations.<a href="https://tessl.io/" rel="noopener noreferre

<p>Most people who use AI every day are still treating it like a very sophisticated autocomplete. Type a question, read the answer, close the window. The session ends, the context disappears, and tomorrow they start over from zero — with an AI that has no idea what they worked on yesterday, what their goals are, or what tools they have access to.</p> <p>That workflow has a hard ceiling. And most people hit it without realizing why.</p> <p>The reason the frontier of AI productivity has shifted is

Article URL: https://kim-ai-gpu.github.io/2026/07/04/introducing-agenlus-browser-rl/ Comments URL: https://news.ycombinator.com/item?id=48784825 Points: 1 # Comments: 0

<p>People talk about AI as if it’s all models, prompts, and clever text. They argue about hallucinations, tokens, creativity, and “intelligence” — as if the entire AI ecosystem begins and ends with generation.</p> <p>It doesn’t.</p> <p>And nowhere is the misunderstanding more consequential than with <strong>Operational AI</strong> — the system type that doesn’t generate anything, but acts.</p> <h2> What Operational AI Is </h2> <p>Operational AI is the system type that <strong>acts in the world</

<p>Most interview prep fails because it starts from generic question lists. Start from the job description instead: extract role signals, turn them into technical and behavioral prompts, then rehearse the gaps. Below is a small dependency-free Node.js script that turns any JD into a focused mock interview pack.</p> <p>If you are applying to developer roles, you have probably seen the same prep advice recycled everywhere: grind more LeetCode, memorize STAR, read system design notes, repeat.</p> <

<h2> Introduction </h2> <p>Through <a href="https://dev.to/hiroki-kameyama/fine-tuning-domain-specializing-models-with-lora-180g">Chapter 6 (Fine-tuning)</a>, we focused on improving a single AI system. This chapter introduces <strong>multi-agent</strong> design, where multiple Agents collaborate on complex tasks.</p> <p>Our previous Agent implementations used a "one Agent does everything" approach. For complex tasks, putting all responsibility on a single Agent has limits.<br> </p> <div class="

<h1> 10 paper AI nổi bật nhất trên Hugging Face hôm nay: xu hướng mới về agent, đánh giá, suy luận và hạ tầng mô hình </h1> <p>Hôm nay, danh sách paper được cộng đồng Hugging Face upvote cao nhất cho thấy một bức tranh khá rõ về hướng đi của AI hiện tại: <strong>agent tự trị</strong>, <strong>benchmark/evaluation sát thực tế hơn</strong>, <strong>tối ưu hạ tầng suy luận</strong>, và <strong>các cách biểu diễn mới ngoài fine-tuning truyền thống</strong>.<br><br> Trong bài viết này, mình sẽ tóm tắ

<p>Exclusive: £20bn of ‘potential’ £30bn AI investment touted by UK ministers appears to have been hypothetical</p><p>It was to be the biggest undertaking in Britain for OpenAI, the company behind ChatGPT. Stargate UK – a multibillion-pound UK datacentre project –<strong> </strong>would represent “a major step forward in the US-UK technology partnership”.</p><p>But the <a href="https://www.theguardian.com/technology/2026/apr/09/openai-pulls-out-of-landmark-31bn-uk-investment">plans were paused i

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Over the past week, a new fanworks movement has kicked off, with the aim to root out authors using generative AI. But the detection methods being implemented are questionable, and any fanfic writer could be caught in the crossfire. Broad distaste around the use of Claude, ChatGPT, and other AI tools has long been a […]

Article URL: https://roburie.substack.com/p/why-ai-doesnt-think-cannot-reason Comments URL: https://news.ycombinator.com/item?id=48784753 Points: 2 # Comments: 4

Article URL: https://github.com/JingbiaoMei/Tokdash Comments URL: https://news.ycombinator.com/item?id=48784739 Points: 1 # Comments: 0

Midjourney is asking the court to get Disney, Warner Bros. and Universal to submit information on their AI use.

ProxyBoy is a man-in-the-middle (MITM) HTTP/HTTPS proxy that captures, inspects, and modifies network traffic — similar to Charles Proxy, Fiddler, or Proxyman. What makes it different is the embedded AI assistant powered by the GitHub Copilot SDK, which can analyze traffic, create rules, and help debug network issues conversationally. Comments URL: https://news.ycombinator.com/item?id=48784551 Points: 1 # Comments: 0

“In the future, the relationship between humans and robots will deepen, and the distinction between them will probably disappear.” This prediction, from one of the attendees at the recent Humanoids Summit in Tokyo , might have been unremarkable had it not come directly from an android that was first introduced to the world 20 years ago. Geminoid HI-6 is the sixth-generation of a robot originally designed in 2006. The mechanical twin of Osaka University professor Hiroshi Ishiguro , Geminoid HI-6

Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas. Comments URL: https://news.ycombinator.com/item?id=48784470 Points: 3 # Comments: 1

<!-- SC_OFF --><div class="md"><p>I've been trying to come up with a solution for keeping extremely long ai sessions coherent. Sometimes there is too much substance to risk compaction. With so much buzz around diffusion going on it got me thinking, what if we treat the context like a progressive render, blurry>sharp.</p> <p>The practical way to make text "blurry" is compression. This is a "diffusion inspired" system which borrows the coarse-to-fine process, not the formal math. It uses semantic

Article URL: https://catz.io Comments URL: https://news.ycombinator.com/item?id=48784445 Points: 1 # Comments: 0

Article URL: https://www.thetransmitter.org/publishing/scientists-decry-conferences-use-of-hidden-prompts-to-snare-ai-peer-reviews/ Comments URL: https://news.ycombinator.com/item?id=48784384 Points: 1 # Comments: 0

Article URL: https://finance.yahoo.com/technology/ai/articles/jersey-mike-ipo-illustrates-bad-201159743.html Comments URL: https://news.ycombinator.com/item?id=48784339 Points: 5 # Comments: 3

Article URL: https://aicoloringpagegenerator.org/ Comments URL: https://news.ycombinator.com/item?id=48784304 Points: 1 # Comments: 0

Article URL: https://aivideodetector.video Comments URL: https://news.ycombinator.com/item?id=48784303 Points: 1 # Comments: 0

AssistantAI is an experimental open-source project exploring real-time desktop AI. It listens to a selected application, provides real-time conversation hints using a document as context, and also supports configurable screenshot analysis. A short demo is available here: Demo: https://www.loom.com/share/1f12da03d66747c0bf30bc3388b3cd66 Comments URL: https://news.ycombinator.com/item?id=48784297 Points: 1 # Comments: 0

Article URL: https://github.com/broxhq/qpilot Comments URL: https://news.ycombinator.com/item?id=48784269 Points: 2 # Comments: 3

I’m a psychologist, not a developer. Over the past few months, I used Google AI Studio to build Psycurate.com Why? The digital mental health space has become exhausting—too many great tools are buried under aggressive monetization, mandatory tracking, and corporate bloat. This website wants to be an accessible alternative. What Psycurate is about: * Privacy First: A space specifically for tools that respect the person using them. Tools that do not harvest data. * A directory where anyone can dis

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): require one resolved capability profile per run (#99817) applyFinalEffectiveToolPolicy and collectAttemptExplicitToolAllowlistSources took ~15 raw identity params each and silently re-resolved a second capability profile when callers forgot to pass one — with divergent session inputs (attempt allowlist sources resolved policy off the live session key while tool construction used the sandbox policy key). The profile param is now requi

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): derive conversation scope from trusted group facts (#99816) Scope fell back to caller-supplied groupId/groupChannel/groupSpace when chatType was unknown, while the profile publishes those same fields trust-checked (null when dropped). A dropped caller group could classify an unknown-audience conversation as shared for downstream audience and credential decisions. Scope now classifies only from live chat type, server-derived session keys (

Greg Brockman admits ChatGPT's plugins, heavily marketed in 2023, failed "because the models weren't ready." Instead of app extensions, he sees the future in an invisible, context-aware agent. But OpenAI's own Codex is still light-years from that vision. The article OpenAI cofounder envisions "almost no interface" future where nobody learns software anymore appeared first on The Decoder .

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<pre style='white-space:pre-wrap;width:81ex'>fix(agents): preserve mixed image attachment order (#99902)</pre>

A study of more than 26,000 Chinese students found that AI users finished homework faster and scored higher but performed up to 24 percent worse on exams. The full impact on entrance exam results took about two years to show up, meaning short-term studies systematically underestimate the damage. The article A 26,000-student study shows AI's hidden learning cost takes two full years to surface appeared first on The Decoder .

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