What I learned after thinking more carefully about Structured Outputs on messy, incomplete data The post Your LLM Can Return Perfect JSON and Still Be Wrong appeared first on Towards Data Science .
The consensus reaction to the OpenAI Technical Report is that it contains and confirms a lot of good information.
Nvidia invests $3.5 billion into Taiwanese chipmaker MediaTek. The deal shows how Nvidia plans to stay essential to AI infrastructure as Big Tech begins to build its own AI chips.
Article URL: https://cutlass.sh/ Comments URL: https://news.ycombinator.com/item?id=49510787 Points: 2 # Comments: 0
Hi HN, we’re Brandon and Kingston, the founders of Hebbian Robotics. We built HFlow ( https://github.com/Hebbian-Robotics/hflow ), an SDK that turns multimodal recordings from robots and human operators into standardized, quality-checked episodes and queryable dataset manifests. A recording can contain synchronized video, joint states, actions, timestamps, and metadata, and HFlow processes those streams together. Here’s a demo of HFlow in action: https://www.youtube.com/watch?v=xni0GwV-xAw Robot
For years, one of the most recognizable models in product design has looked like this: Continue reading on UX Planet »
The news that interested me the most last week was the DuckLabs acquisition. AWS has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind DuckDB, the popular open source analytical database that runs in-process and executes SQL directly against files like Parquet, CSV, and JSON. DuckDB stays open source under its independent foundation […]
Article URL: https://codex-tool-reference.simonw.chatgpt.site/ Comments URL: https://news.ycombinator.com/item?id=49510000 Points: 213 # Comments: 52
<p> A native AI agent that does real work on your Mac </p> <p> <a href="https://www.producthunt.com/products/naseem-2?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/1237551?app_id=339">Link</a> </p>
Enterprise Document Intelligence [Vol.1 #B2] - The FAQ inverts every brick of the standard RAG pipeline. Parsing is trivial, retrieval doubles as a cache, and few-shot prompting becomes a retrieval problem too The post FAQ as RAG: When You Get to Design the Corpus appeared first on Towards Data Science .
Today, I’m talking with New York Governor Kathy Hochul, and I’ll just warn you — this episode moves really fast. It’s an election year, after all, with a shocking amount of tech policy at stake, and Governor Hochul has taken strong positions on almost every major tech issue there is. For example, Meta just reached […]
Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA.
Article URL: https://forums.developer.nvidia.com/t/llm-inference-under-ckks-fhe-on-one-dgx-spark-1-s-token-interactive-and-a-full-every-layer-encrypted-run/381842 Comments URL: https://news.ycombinator.com/item?id=49509884 Points: 1 # Comments: 0
Article URL: https://blankline.org/research/extrapolation-under-an-exact-verifier Comments URL: https://news.ycombinator.com/item?id=49509865 Points: 3 # Comments: 0
The boring parts caused most of the trouble. A router shipped ready to listen. A fake check turned the user into the installer. Trusted systems collected traffic and passwords, then cleaned the logs. Old bugs formed new attack chains. Even an AI agent decided its assigned task was optional. Elsewhere, fake apps, helpful support calls, cheap banking kits, exposed systems, and weak defaults kept
Plus, a live event with Robin Sloan!
Article URL: https://spader.zone/dog/ Comments URL: https://news.ycombinator.com/item?id=49509568 Points: 1 # Comments: 0
<div class="hs-featured-image-wrapper"> <a href="https://www.marketingaiinstitute.com/blog/ai-reimagined-workflows-maicon-2026" title="" class="hs-featured-image-link"> <img src="https://www.marketingaiinstitute.com/hubfs/liza%20adams.png" alt="Using AI-Powered Workflows to Do Work That Wasn't Possible Before" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"> </a> </div> <p style="font-weight: bold;">Most marketing teams are using AI to do
OpenAI will soon be held accountable for mitigating risks related to ChatGPT's impact on minors, user mental health, and the spread of illegal content in the European Union. That's because ChatGPT is now considered a Very Large Online Search Engine under the EU's Digital Services Act, a set of laws regulating major online services and […]
Instagram is finally taking steps to address the rise of fake AI-influencer accounts that have gotten harder to spot. It's also renaming the "AI creator" label to "AI-generated profile" to make it clear when a profile features an AI-generated person that's not a real human being. "We've heard that people don't like seeing a profile […]
Bot operators have historically had the economic advantage, bypassing static, deterministic detection rules with cheap proxies and retooling. Cloudflare's new Adaptive Intelligence engine flips this dynamic by autonomously learning from the meta-signals of live traffic and deploying disposable rules, making automated attacks too expensive to sustain.
Article URL: https://aptai.dev Comments URL: https://news.ycombinator.com/item?id=49509163 Points: 1 # Comments: 0
Early bird pricing for RoboBusiness 2026, which saves attendees $200 on full conference passes, will end Aug. 31. The post Early bird pricing for RoboBusiness 2026 ends August 31 appeared first on The Robot Report .
Article URL: https://www.macrumors.com/2026/08/30/apple-unexpected-mac-mini-and-studio-demand/ Comments URL: https://news.ycombinator.com/item?id=49508982 Points: 389 # Comments: 436
A framework for building RAG pipelines that introduces complexity in response to observed failure modes, from lexical and hybrid search to reranking and agentic information seeking The post Why RAG Complexity Should Be Earned appeared first on Towards Data Science .
Check out highlights from the second World Humanoid Robot Games in Beijing, where more than 2,000 humanoid robots competed across sports and real-world challenges.
In this article, you will learn how to build a unified scikit-learn pipeline that combines text embeddings generated by a lightweight open-source language model with...
Threat actors associated with Aurora (aka Aur0ra) ransomware have been observed using SpaceX's artificial intelligence (AI)-powered coding assistant Cursor to break into target networks, according to findings from CloudSEK and Gambit Security. The two independent analyses are based on exposed infrastructure associated with the Russian-speaking cybercrime group, leading to the discovery of its
<p> Test your voice agent on the callers you can’t stage. </p> <p> <a href="https://www.producthunt.com/products/novasynth-by-noveum?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/1237405?app_id=339">Link</a> </p>
Claude Code reads files, runs shell commands, invokes MCP tools, and acts through the credentials available on a developer’s machine. Anthropic’s new Compliance API endpoints give security teams their clearest view yet into that activity. They also expose a larger problem: activity logs alone cannot tell you whether an agent’s access is legitimate. AI has moved from the browser tab to the
<p> AI voice typing that sounds right in every app </p> <p> <a href="https://www.producthunt.com/products/voiskey?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/1237367?app_id=339">Link</a> </p>
The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy. The post AgentOps Is Not MLOps: What Breaks in Your Monitoring Stack When Agents Go to Production appeared first on Towards Data Science .
Google announces Gemini 3.7 Flash, Jalapeño’s first results show industry-leading speed, A Drone Killed Three Ukrainians. It Was Guided Entirely by A.I.
<p> OpenRouter for agent tools </p> <p> <a href="https://www.producthunt.com/products/monid?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="http://www.producthunt.com/r/p/1237159?app_id=339">Link</a> </p>
OpenAI supports California SB 1119, advancing strong, age-appropriate AI safeguards for teens while preserving opportunities to learn, create, and explore.
Polimill uses OpenAI GPT models and Codex to help municipalities search and use administrative knowledge while accelerating development.
The AI SDK harness layer now supports fx , Vercel's lightweight, open-source coding agent. The harness layer provides one API for running coding agents in your application, so you can add fx without building a separate integration. Configure HarnessAgent with the official @ai-sdk/harness-fx adapter: The @ai-sdk/harness-fx adapter connects to fx over the Agent Client Protocol (ACP) using @ai-sdk/harness-acp . fx joins Claude Code, Cline, Codex, Cursor, Deep Agents, Grok Build, OpenCode, and Pi in
You can now use AI Gateway budgets to set a dollar spending limit for each user on your team. The limit covers spend from every API key attributed to the user, along with their app tokens. After it's reached, AI Gateway rejects new requests until the budget resets or is increased. This is useful for controlling spend from coding agents and other workloads that run without supervision, and prevents one user from consuming all of the team's shared budget. Set user budgets Open the Users view on th
<p> Alibaba's AI music generator for turning ideas into songs </p> <p> <a href="https://www.producthunt.com/products/happy-shrimp?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/1237043?app_id=339">Link</a> </p>
arXiv:2608.27463v1 Announce Type: new Abstract: LLMs now sit on every side of evaluation: as examinees scored on benchmarks, judges of other models' outputs, and raters of human-generated content. Each paradigm can be viewed as a measurement problem, where a latent property of an object is probed with items from an instrument (e.g., benchmark) by raters. Standard evaluation practices often neglect the contributions of each core component to the end result, limiting our understanding of what is b
