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Hello, while I was learning LLM Inference basics I realized with few tricks I could use my ESP32 for inference if I stream the weights only when they are needed from a host over WiFi. Speed? Really bad. Lol. But this is just a technical demo of how it can be done. I really enjoyed while coding it. It has a sliding window which allows infinite generation ( of course meaningless :) ) Hope you will enjoy! Comments URL: https://news.ycombinator.com/item?id=48992123 Points: 2 # Comments: 0

Exploring GPU acceleration with cuDF, cudf.pandas, and the Polars GPU Engine The post How Much of a Data Science Workflow Can Run on a GPU Today? Part 1: Accelerating Data Preparation appeared first on Towards Data Science .

Deezer said more than 90,000 AI-generated tracks were uploaded daily on the platform in June.

Article URL: https://nutfieldsecurity.com/posts/ai-vacation-physics/ Comments URL: https://news.ycombinator.com/item?id=48992051 Points: 2 # Comments: 0

Article URL: https://antiextinction.substack.com/p/contra-ai-2040-and-the-cult-of-intelligence Comments URL: https://news.ycombinator.com/item?id=48992050 Points: 1 # Comments: 2

Howdy dear folks. Here on hackernews there seems to be very little other than AI related stories. Maybe not all too strange given the crowd who frequents this site. From what I gather the mostly positive sentiment isn't as widely shared among the general population (0: 50% of americans are more concerned than excited about the increase use of AI). How do you think about whether or not to mention, or advertise, the AI capabilities of your own products when marketing to the general population? Do

I use Pi coding agent with OpenAI GPT-5.6 Sol but have been finding that GPT-5.6 is slower than Claude Code. Do you use any other model like one of the hosted OSS ones? Comments URL: https://news.ycombinator.com/item?id=48991997 Points: 3 # Comments: 2

Article URL: https://georgwiese.github.io/posts/formal-verification-ai/ Comments URL: https://news.ycombinator.com/item?id=48991981 Points: 4 # Comments: 0

Hi HN, we're developing Neverbell, an AI agent that combines market analysis with trade execution. One of our beta testers said to Neverbell: “Protect my downside, but don’t be too conservative.” Volatility increased a few days later, and the agent decreased their exposure. Our tester wasn’t happy. The interesting part for us was that both interpretations were reasonable. The agent gave more weight to “protect my downside.” The user thought that “don't be too conservative” was more important. It

<pre style='white-space:pre-wrap;width:81ex'>fix(gateway): keep fresh-state startup responsive with prepared runtimes (#112262) * fix(gateway): keep health responsive during model runtime startup * refactor(agents): isolate prepared runtime startup mode * refactor(agents): keep prepared runtime catalog mode internal</pre>

I built Pinpoint because I was tired of typing out feedback on the visual work my AI agent did. I want my agent to be autonomous, so having it ask for feedback through a UI felt genuinely better. Dropping a contextual comment on each screenshot is much closer to how you'd give feedback on a design in Figma. It also does side-by-side comparison, which is really helpful, having the before/after screens lets the human in the loop (us!) give better feedback. It's just screenshots and comments, the s

<h1> Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics </h1> <p><em>How we replaced "looks good to me" with automated evaluation catching 92% of hallucinations before deployment</em></p> <h2> The Problem: Why "Vibe Checks" Fail in Production </h2> <p>Three months ago, our team shipped a RAG-based customer support assistant. It worked great in testing — we'd ask it questions, read the answers, and say "yeah, that looks right."</p> <p>Then it hit production.</p> <p>A custom

<blockquote> <p><em>This article was translated with the help of AI.</em></p> </blockquote> <p>Are you issuing access keys just to use the AWS CLI?</p> <p>I used to do exactly that. Access keys are convenient, aren't they?<br> Once you set them up with <code>aws configure</code>, they keep working forever.<br> But behind that convenience lies a scary story.<br> A leak can mean a bill of tens of thousands of dollars, leaked data, and lost trust. And once it's out, you can't take it back.</p> <p>T

<blockquote> <p><strong>TL;DR —</strong> Streaming AI pipelines get evaluated on latency and throughput, but the deeper risk is time semantics: watermarks, allowed lateness, and out-of-order events silently change what a feature means between training and serving. This creates a distribution skew that dashboards never catch because nothing looks broken — the pipeline is fast, the model is scoring, and the numbers are just quietly wrong. The fix is treating watermark lag and replay parity as firs

MISUMI Americas has examined reshoring of U.S. manufacturing and supported legislation to send workers overseas for training. The post MISUMI Americas releases reshoring report, supports manufacturing training bill appeared first on The Robot Report .

Article URL: https://runtimewire.com/article/skyfall-ai-buy-business-test-ai-ceo Comments URL: https://news.ycombinator.com/item?id=48991778 Points: 1 # Comments: 0

Article URL: https://www.youtube.com/watch?v=xXsRnlYv5eM Comments URL: https://news.ycombinator.com/item?id=48991746 Points: 1 # Comments: 0

<p>Earlier this month I hosted a fireside chat session at the <a href="https://www.ai.engineer/worldsfair/2026">AI Engineer World's Fair</a> with Cat Wu and Thariq Shihipar from Anthropic's Claude Code team. We talked about Claude Code, Claude Tag, Fable, coding agent security, evals, tool design, and how Anthropic use these tools themselves.</p> <p>The full video of the session is now available <a href="https://www.youtube.com/watch?v=uU5Gv2h8-9g">on YouTube</a>. Below is an edited copy of the

Article URL: https://psyll.com/articles/technology/ai-machine-learning/the-real-cost-of-ai-human-and-environmental-harm Comments URL: https://news.ycombinator.com/item?id=48991692 Points: 1 # Comments: 0

You open a generative AI tool expecting a quick boost. Ten minutes later, you’re still there, refining a prompt for the fourth time. The task you started with has drifted off to the side somewhere. Sound familiar? Knowledge workers in 2026 are running into this more and more. It makes sense once you look at […] The post The AI Slot Machine Effect: Why Generative Feeds Disrupt Deep Work And How to Reclaim Focus appeared first on AI News .

Article URL: https://github.com/fixed-width/glass Comments URL: https://news.ycombinator.com/item?id=48991662 Points: 1 # Comments: 1

Article URL: https://github.com/arianmokhtariha/data2prompt Comments URL: https://news.ycombinator.com/item?id=48991652 Points: 1 # Comments: 0

Article URL: https://www.raspberrypi.com/news/ai-projects-with-raspberry-pi-out-now/ Comments URL: https://news.ycombinator.com/item?id=48991623 Points: 1 # Comments: 0

Article URL: https://github.com/duncan982/devfortress-core Comments URL: https://news.ycombinator.com/item?id=48991619 Points: 1 # Comments: 0

Article URL: https://www.cnbc.com/2026/07/16/alphabet-stock-gemini-3-5-pro-ai.html Comments URL: https://news.ycombinator.com/item?id=48991586 Points: 2 # Comments: 1

Article URL: https://lowlatencyclub.ai/blog/posts/ai-assistant-filler-messages-demo-python Comments URL: https://news.ycombinator.com/item?id=48991579 Points: 1 # Comments: 0

With the iOS 27 public beta on my iPhone, I challenged Siri AI to assist me in the car. Here's how it performed over regular Siri.

Article URL: https://termaxa.com/blog/cursor-saga/ Comments URL: https://news.ycombinator.com/item?id=48991399 Points: 2 # Comments: 0

Deploying world models in real robotic systems requires a step that receives less attention than the models themselves: conditioning. The post Friction is key to making better robot world models appeared first on The Robot Report .

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. China’s AI models have Trump’s AI world at war with itself Last weekend, several current and former advisers to President Donald Trump on AI publicly lobbed insults at the country’s leading…

<p>Google’s AI struggles scream trouble as new Chinese models (again) throw US tech dominance into question</p><p>Hello, I’m Blake Montgomery, writing to you after a double-header feature of Christopher Nolan’s The Odyssey and the World Cup final. What a great Sunday. Today in tech, we’re discussing how China is chipping away at the US’s lead in the AI race and how Silicon Valley’s workers are taking action to protect their jobs from AI.</p><p><a href="https://www.theguardian.com/us-news/2026/ju

GPT-5.6 and Grok 4.5, Meta's Muse Spark 1.1, regulatory developments in AI and data centers, interpretability research from Anthropic, and the future of AI policy with AI 2040

Samsung created a robotics division called RX, and its first product could be a humanoid robot.

Article URL: https://github.com/jie123108/Shellink Comments URL: https://news.ycombinator.com/item?id=48991134 Points: 2 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>feat(ui): show PR status on Claude threads (#112180) * feat(ui): show PR status on catalog threads * fix(ui): complete PR summary protocol artifacts * perf(anthropic): bound PR metadata deduplication</pre>

Follow this free five-course roadmap to build real AI skills, from classical algorithms to training LLMs from scratch.

Zain Hasan , an AI engineer at Together AI , has taught himself to use AI coding assistants while still keeping an eye on cost. He directs difficult problems to a frontier model, meaning one near the current state of the art in reasoning and capability, such as Anthropic’s Fable . But if the task that Hasan is outsourcing is more straightforward, he directs it to a less capable—and less expensive—language model. Right now, the cheaper model, for him, tends to be GLM 5.2. Released on 16 June by t

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A hands-on guide to tracking experiments, logging models, and reproducing results with ML Flow. The post Are Your ML Experiments a Mess? Here’s the Fix appeared first on Towards Data Science .

Article URL: https://medspas.shipmore.io Comments URL: https://news.ycombinator.com/item?id=48991099 Points: 1 # Comments: 0