A new Rust proxy called Turnstile sits between the model backend and the agent harness to capture information lost in mere text transcripts.
For the first time, teleoperated humanoid robots successfully performed surgeries during a UC San Diego preclinical trial. The post Beyond da Vinci: Why versatile humanoid robots are the next frontier in surgery appeared first on The Robot Report .
AI has changed how fast attacks move. Work that once took an attacker days now takes minutes. Using models like Mythos, attackers write tailored bait, pick targets, test what lands, and jump to the next host before your team clears the first alert. That is the gap, and it is not your fault. The tools and runbooks most teams run on were built for attackers who work at human speed. AI-driven
Article URL: https://battlellmrobots.com Comments URL: https://news.ycombinator.com/item?id=48844770 Points: 3 # Comments: 0
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. Four nuclear reactors hit a big milestone in the US —Casey Crownhart I was really looking forward to July 4, and not just because I love a poolside barbecue. This year…
Article URL: https://www.clusy.io/hub Comments URL: https://news.ycombinator.com/item?id=48844562 Points: 1 # Comments: 0
Article URL: https://www.hiringlab.org/2026/07/08/ai-and-job-postings-from-destruction-to-creation/ Comments URL: https://news.ycombinator.com/item?id=48844524 Points: 1 # Comments: 1
The large language models (LLMs) that form the basis of generative AI chatbots such as ChatGPT, Claude, and Gemini can generate uncannily human-like text and images. But these models still struggle with a skill that, ironically, looks at face value to be right in their wheelhouse: analyzing structured data. A new type of generative AI is set to change this situation. Although you can get your favorite chatbot to solve intractable math problems , review dense legal documents, compose a catchy pop
Nilekani remains Fundamentum's anchor investor as the firm expands its leadership team and targets AI and fintech startups in India.
They aren’t designed, you can’t help perceiving one anyway, and that makes them an engineering problem almost no one is solving. The post Where Does an AI’s Personality Actually Come From? appeared first on Towards Data Science .
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Article URL: https://mziqudhd92.github.io/soul-os/ Comments URL: https://news.ycombinator.com/item?id=48844498 Points: 2 # Comments: 2
Article URL: https://charity.wtf/p/make-ai-boring-again Comments URL: https://news.ycombinator.com/item?id=48844430 Points: 1 # Comments: 0
Hi all. I wanted to flag that the openai from today 09.07.2026 stopped returning thinking summaries on the codex endpoint. All is "normal" on the api endpoint. I don't know if this is a/b or geographic testing. Take this as you will. Comments URL: https://news.ycombinator.com/item?id=48844371 Points: 1 # Comments: 0
Article URL: https://github.com/mgsgde/whisper-shortcut Comments URL: https://news.ycombinator.com/item?id=48844369 Points: 1 # Comments: 0
Article URL: https://github.com/ss-forge/public-shares Comments URL: https://news.ycombinator.com/item?id=48844357 Points: 1 # Comments: 0
1. Farewell deep focus. Before, I could work in flow state for hours on end. Now, waiting for the prompt to finish introduces constant interruptions, which translates into constant distractions, constant context switch, infinite ideas for endless new projects. My brain is melting. I can literally feel when my neurons start clogging up, forcing me to take frequent pauses just staring outside the window for 10 minutes straight. 2. I don't own my own projects anymore. Before, I used to understand e
Article URL: https://github.com/jadeavsmith-tech/holographic-horizon-shield-v2 Comments URL: https://news.ycombinator.com/item?id=48844275 Points: 1 # Comments: 0
Article URL: https://github.com/thansz137/asiyah-protocol/blob/main/dibur/2026-07-08_dibur.md Comments URL: https://news.ycombinator.com/item?id=48844223 Points: 1 # Comments: 1
Article URL: https://www.wsj.com/pro/private-equity/ai-replaced-bankers-on-a-cvc-sale-process-ce9b765b Comments URL: https://news.ycombinator.com/item?id=48844212 Points: 1 # Comments: 0
Article URL: https://github.com/andalabx/ember Comments URL: https://news.ycombinator.com/item?id=48844206 Points: 1 # Comments: 1
Article URL: https://keepsake.sh/ Comments URL: https://news.ycombinator.com/item?id=48844132 Points: 1 # Comments: 0
Short answer: Yes Continue reading on UX Planet »
Article URL: https://read.misalignedmag.com/holding-the-industry-accountable-the-ai-resist-list-comes-to-london-6438375b30ca?postPublishedType=repub Comments URL: https://news.ycombinator.com/item?id=48844053 Points: 1 # Comments: 1
<pre style='white-space:pre-wrap;width:81ex'>test(infra): stabilize session cost stream errors (#102704) Co-authored-by: Agent Jack <jack@thecaselygroup.com></pre>
<pre style='white-space:pre-wrap;width:81ex'>improve(ui): calmer sessions roster with dot status and drawer-level runtime (#102664) Feedback pass on the sessions redesign: status pills become a plain colored dot + label (green pulse for live, green dot with neutral label for done, muted idle, red failed) in both the roster and the drawer hero, and the Runtime column moves out of the table into the row drawer as Runtime (agent runtime) plus Run duration. Runtime stays searchable. Responsive break
As Claude Code, Codex, and other AI coding agents take up more and more of our daily work, I've noticed that I now spend most of my time writing specs, nailing down requirements, and talking to the agent, rather than actually poring over the details of the code. Today, for some totally random reason, it suddenly hit me that I haven't opened Stack Overflow in a very, very long time, at least half a year. And that gives me a strange sense of loss. I used to open it almost every single day. It was
<pre style='white-space:pre-wrap;width:81ex'>feat(android): add Skill Workshop settings panel (#101911) * feat(android): add Skill Workshop settings * fix(android): scope Skill Workshop state by agent * fix(android): confirm Skill Workshop proposal actions * fix(android): strengthen Skill Workshop action proof gates * fix(android): satisfy Skill Workshop action ktlint * fix(android): serialize Skill Workshop lifecycle actions * chore(android): refresh native i18n inventory --------- Co-authored-
<h1> Python Operators: A Complete Beginner's Guide (Arithmetic, Comparison, Logical & More) </h1> <h2> Introduction </h2> <p>Operators are one of the most fundamental concepts in Python. They allow you to perform calculations, compare values, make decisions, and manipulate data efficiently. Whether you're building a calculator, analyzing data with Pandas, or developing AI applications, you'll use operators in almost every Python program.</p> <p>In this blog, we'll explore all the major types of
Databricks benchmarked coding agents on its own multi-million-line codebase and found that the Chinese open-source model GLM 5.2 matched Anthropic's Opus 4.8 at $1.28 per task versus $1.94. The company plans to roll it out as a daily coding workhorse. Its broader takeaway: no single provider dominates, and companies should build their own benchmarks instead of relying on public ones. The article Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at
Article URL: https://github.com/RubenGlez/langdrift Comments URL: https://news.ycombinator.com/item?id=48843916 Points: 2 # Comments: 0
<p>There is a quiet consensus forming about how to make an AI agent's output trustworthy: make it reproducible. Pin the inputs. Hash the pipeline. Anchor the hash somewhere tamper-evident. Then anyone can re-run the exact steps on the exact bytes and land on the exact same answer. If the numbers match, the result stands.</p> <p>This is real progress, and I am not trying to talk anyone out of it. Reproducibility is the whole distance between "trust me" and "here, run it yourself." But it answers
<h2> The Trap of the Single Prompt </h2> <p>Most developers start their AI journey by building a 'wrapper'. You take a user input, wrap it in a system prompt, send it to an LLM, and return the result. If the result is wrong, you try to 'prompt engineer' your way out of it by adding more instructions to that single prompt.</p> <p>This is a dead end. No matter how good your prompt is, LLMs struggle with complex tasks in a single pass. They hallucinate, they skip steps, and they fail to double chec
Because of the way they are trained, large language models capture only a slice of human language. They’re trained on the written word, from textbooks to social media posts, and our speech as captured in movies and on television. These models have minimal access to the unscripted conversations we have face to face or voice to voice. This is the vast majority of speech, and a vital component of human culture. There’s a risk to this. The increased use of large language models means we humans will
<p>Will AI change how we engage with nuclear weapons?</p>
<p>Nearly seven in ten middle and high school students now say they believe artificial intelligence is eroding their critical thinking skills. They reported this in a December 2025 survey conducted by the RAND Corporation's American Youth Panel. They also reported, in the very same survey, that they are using AI for homework more than ever before, with usage climbing from 48 per cent to 62 per cent in barely seven months. The students, in other words, can see the problem clearly. They simply can
Thousands of new fossil-fuel power sources are quietly firing up across the state to power the AI boom, thanks to a regulatory loophole, leaving residents feeling blindsided.
<p>AI’s most persistent failures aren’t caused by algorithms, datasets, or even governance. They come from something far more fundamental: a missing architectural layer that should sit beneath every system we build. We talk endlessly about ethics, safety, and regulation, but almost never about the structural scaffolding that makes any of those possible. This unbuilt layer — the connective tissue between intent, execution, and assurance — is the quiet reason AI keeps breaking in predictable ways.
<pre style='white-space:pre-wrap;width:81ex'>fix(agents): emit model.failover diagnostic on normal model fallback transitions (#102051) * [AI] fix(agents): emit model.failover diagnostic on normal model fallback transitions Restructure observeFailedCandidate to emit the existing model.failover diagnostic event for candidate run failures when an actual next fallback candidate exists. Previously emitFailoverEvent was only called in the cooldown lane-suspension branch. Normal fallback transitions o
thankscarbon.com/asker Comments URL: https://news.ycombinator.com/item?id=48843782 Points: 1 # Comments: 0
