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Show HN: Tamper evident audit logs for LangGraph/CrewAI agents

I have running into the same problems recently instrumenting my LangChain and CrewAI agent pipelines. If something goes wrong with a tool call, there was no way to way to prove what the agent did, in what order, and whether the logs have been modified. Observability platforms like LangSmith and Langfuse are great at optimizing for agent behavior, tokens and costs but they do not produce legally defensible and auditable artifacts. That's the reason why I decided to build RootSign, an SDK that ins

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Hacker News Ask

Ask HN: I think I accidentally built a better cloud agent solution. Hubris?

We built Else, a tool for PMs to prototype on top of their actual product. I started using Else to build Else, and I now inadvertently spend all my time turning it into my ideal dev environment. Else works similar to most cloud agent systems with some key differences that I personally think have a huge impact, but I’m worried I have tunnel vision. WHY DO I THINK IT'S SO GOOD? It’s equally good at the first 80% (the agent spends an hour building the feature) and the last 20% (you need to test, it

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r/MachineLearningResearch

Contrastive targeted SFT as a mechinterp method - has anyone mapped causal dependency interactions this way? [D]

<!-- SC_OFF --><div class="md"><p>Hi All, I've been running experiments on targeted SFT for specific capability dimensions on a 31B model. After running small training run to prime the model slightly in the direction I want, then ran a judge across 40 domains scoring six independent quality dimensions. One dimension consistently scored weakest across five runs.</p> <p>I am now training contrastive variants from the same checkpoint - examples with that dimension deep vs examples with it deliberat

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Hacker News: Show HN

Show HN: Visual Agents with Code Mode

Orion 2 Blog Announcement: https://www.youtube.com/watch?v=rzhXcNAYQ-0 Orion 2 Tours: - Physical AI: https://chat.vlm.run/c/e2ea96a4-4175-43c3-a0cf-d2d6e40ebac9 - Multi-doc classification: https://chat.vlm.run/c/0194eadb-817b-47b6-9464-0361930b7325 - OpenCV operations: https://chat.vlm.run/c/733e38c7-f2e7-4a2b-a9e3-ffc201412cc1 - Virtual try-on: https://chat.vlm.run/c/588e485e-7e47-4742-b77c-68bbe1623474 Comments URL: https://news.ycombinator.com/item?id=48574623 Points: 1 # Comments: 0

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The Verge

Anthropic got hit by export rules nobody understands

Anthropic has spent much of this week fighting to get its newest AI models back online after the Trump administration abruptly ordered the company to cut access for all foreign nationals, including users inside the US and its own employees, forcing Anthropic to block access to Fable 5 and Mythos 5 for everyone. "To my […]

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Anthropic got hit by export rules nobody understands
Hacker News Ask

ASK HN: AI models are built on all of us, should their weights act like patents?

Every frontier model is a compression of humanity's collective output. The training corpus is our books, our code, our forum arguments at 2am, our Wikipedia edits, our Stack Overflow answers, the photographs we posted, the songs we wrote about. No lab created this knowledge. They distilled what we already made, together, over centuries. We already have a legal framework for exactly this situation: the patent. Society's bargain with inventors is simple. You get a temporary, exclusive right to pro

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The DecoderBusiness

Amazon, Nvidia, and AMD bet $310 million on AI startup building 3D world models

Amazon, Nvidia, and AMD are putting $310 million into world model startup Odyssey ML, now valued at $1.45 billion. CIA-linked fund IQT and Google chief scientist Jeff Dean are also backing the round. World models are shaping up to be the next big AI bet after pure language models. The article Amazon, Nvidia, and AMD bet $310 million on AI startup building 3D world models appeared first on The Decoder .

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Amazon, Nvidia, and AMD bet $310 million on AI startup building 3D world models
TechCrunch

Social media’s next evolution: User-controlled algorithms

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let users directly influence the algorithms powering their recommendations.

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The Hacker NewsSecurity

Crypto Clipper Campaign Abuses Fake Reviews, AI Narrators, and VirusTotal Comments

An unknown threat actor has been observed leveraging paid or promoted posts on legitimate news websites to drum up buzz for their warez, according to new findings from Check Point Research. The threat actor also has at their disposal a dedicated WordPress phishing page that acts as the central hub, alongside GitHub and SourceForge projects promoted by fake accounts, a YouTube channel, and a

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Crypto Clipper Campaign Abuses Fake Reviews, AI Narrators, and VirusTotal Comments
Hacker News Ask

Ask HN: The economics of manufactured exclusivity and algorithmic viral loops

I’ve been fascinated by the structural mechanics behind viral retail phenomena—specifically the massive lines wrapping around blocks today for the new $2.99 Trader Joe's canvas totes. Comments URL: https://news.ycombinator.com/item?id=48574226 Points: 2 # Comments: 0

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TechCrunch AIBusiness

NEA’s Tiffany Luck on AI IPOs, personal agents, and the ROI reckoning

Tokenmaxxing was the hottest trend in Silicon Valley earlier this year, with CEOs encouraging employees to push AI usage as far as it would go. Then the bill came due. Uber reportedly blew through its annual AI budget in a few months, some companies cut Claude licenses for parts of their org, and Meta killed its internal leaderboard. This tension between […]

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Hacker News Ask

Ask HN: How close to profitability did companies get before dot com burst?

Clearly AI companies are gradually shifting to focus on that. In the 90s was there any effort to do that BEFORE the bubble burst? I was a kid and remember outlines like the Priceline for groceries and insane IPOs, but not much else. Always interested in parallels and what can be learned. Comments URL: https://news.ycombinator.com/item?id=48574114 Points: 4 # Comments: 0

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Hacker News LLMLLMs

LLM Chess – Leaderboard

Article URL: https://maxim-saplin.github.io/llm_chess/ Comments URL: https://news.ycombinator.com/item?id=48573937 Points: 3 # Comments: 0

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Hacker News: Show HN

Show HN: CtxGov – drop in AI memory files, get an influence-boundary report

Article URL: https://ctxgov.github.io/ctxgov/memory-state-influence-boundary-try-in-5-minutes.htmlhttps://ctxgov.github.io/ctxgov/memory-state-influence-boundary-try-in-5-minutes.html Comments URL: https://news.ycombinator.com/item?id=48573815 Points: 2 # Comments: 0

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The DecoderBusiness

Zhipu AI's GLM-5.2 closes in on closed-source leaders in coding marathons

Chinese AI lab Zhipu AI releases GLM-5.2 with a stable 1-million-token context under the MIT license. On FrontierSWE, a benchmark for hours-long coding tasks, the open-source model trails Anthropic's Claude Opus 4.8 by just one percentage point. On reasoning, it still falls well behind closed-source rivals. The article Zhipu AI's GLM-5.2 closes in on closed-source leaders in coding marathons appeared first on The Decoder .

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Hacker News: Show HN

Show HN: Relaymux, a tmux-based meta-harness for local coding agents

Hey HN, There’s been a lot of interest recently in meta-harnesses, loops, and multi-agent orchestration. Obviously, there are already a lot of good tools: Conductor, cmux, the native Codex / Claude Code apps, etc. For my own use cases, I’ve felt that the orchestration layer tends to feel overengineered. I mostly wanted a simple local harness (i.e Pi) for running and tracking CLI agents with the ability to hop in (via tmux). Relaymux is my opinionated attempt at that. A few design principles: - T

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MarkTechPostResearch

Vercel Releases Eve: An Open-Source AI Agent Framework Where Each Agent is a Directory of Files Mapped to Capabilities

Vercel has open-sourced eve, an Apache-2.0 agent framework now in public preview. An agent is a directory of files, with durable execution, sandboxes, approvals, connections, channels, and evals built in. Scaffold with npx eve@latest init and deploy unchanged via vercel deploy. The post Vercel Releases Eve: An Open-Source AI Agent Framework Where Each Agent is a Directory of Files Mapped to Capabilities appeared first on MarkTechPost .

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The Verge

Two-thirds of Americans think AI is advancing too quickly

According to the latest Pew Research poll, 49 percent of Americans report using chatbots at least occasionally, but 63 percent think the tech is advancing too quickly. Overall, use of AI chatbots has increased dramatically since 2024, when only 33 percent reported using them. Specifically, ChatGPT's usage has doubled since 2023, with 44 percent of […]

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Two-thirds of Americans think AI is advancing too quickly
AWS Machine Learning Blog

Context intelligence for your data and AI agents at scale

Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, and streams, and in institutional knowledge that has never been written down. You want to trust the decisions made by your AI agents, but that can't happen until agents have context. Imagine what becomes possible when we give agents a safe way to access the context they need to deliver trusted decisions. This is why at the AWS Summit New

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Simon WillisonLLMs

Quoting Charity Majors

<blockquote cite="https://charitydotwtf.substack.com/p/ai-demands-more-engineering-discipline#footnote-2"><p>What happened in 2025 was this: <strong>the economics of code production were turned upside down</strong>. Instead of being very hard, time-consuming, and expensive to generate code, it became effectively free and instant. Lines of code went from being treasured, reused, cared for and carefully curated, to being disposable and regenerable, practically overnight.</p></blockquote> <p class=

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