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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 .

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

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 .

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 […]

Article URL: https://thrivez.io/ Comments URL: https://news.ycombinator.com/item?id=48573530 Points: 2 # Comments: 1

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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<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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AI drug discovery is so last year, even though it hasn't accomplished much yet

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Article URL: https://mantyx.io/ Comments URL: https://news.ycombinator.com/item?id=48573242 Points: 2 # Comments: 0

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Trump administration officials tell WIRED that if Anthropic wants to rerelease Fable 5, it will need to ensure the model's guardrails can't be circumvented. Security experts say that can't be done.

Building an LLM-powered pipeline to match product listings across millions of merchants into a unified catalog that AI agents can search.

<pre style='white-space:pre-wrap;width:81ex'>refactor(state): remove legacy agent migration aliases</pre>

Robert Erez of Octopus Deploy joins me to discuss Kubernetes, GitOps, progressive delivery, AI in CI/CD, and the evolving practices behind modern software delivery.

Loops are apparently the new hotness with AI but I'm curious to hear from folks on how their experience. Namely: - Whats your daily/monthly running costs? Is it cost prohibitive for a normie? - Do you self host or run externally? - What model do you typically use? - Any other big takeaways / gotchas? I do think loops are the logical next step, but just trying better understand them and figured others would probably benefit as well. Comments URL: https://news.ycombinator.com/item?id=48572937 Poin

Article URL: https://www.reuters.com/world/asia-pacific/frances-ovhcloud-plans-frontier-ai-models-become-europes-second-llm-player-2026-06-17/ Comments URL: https://news.ycombinator.com/item?id=48572919 Points: 2 # Comments: 1

The Amazon founder, who now has robotics and space travel companies, thinks AI will create a labour shortage.

The Amazon founder, who now has robotics and space travel companies, thinks AI will create a labour shortage.

Google is betting generative AI can breathe new life into the smart speaker. The company's new $99.99 Google Home Speaker replaces the rigid commands of the Google Assistant era with more conversational Gemini interactions.

How unit economics should set your classification cutoff, and why they rarely do. The post Your Churn Threshold Is a Pricing Decision appeared first on Towards Data Science .

Hello and welcome to Regulator, an email for Verge subscribers about technology, politics, and what happens when science crashes headlong into self-interest. Not a subscriber? Sign up here today! Got the scoop on a petty feud that's going to somehow fundamentally reshape the entire field of frontier AI development? Send 'em over to tina.nguyen+tips@theverge.com. Back […]

GLAAD releases new guidelines for responsible, LGBTQ-inclusive AI design, amid global Pride celebration.

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Article URL: https://danlevy.net/llm-evals-are-broken/ Comments URL: https://news.ycombinator.com/item?id=48572463 Points: 3 # Comments: 0

Most manufacturing applications aim to reduce cycle time to improve throughput. Using general-purpose industrial robots that transcend human constraints is often an attractive option. The post Evaluating humanoids for surface finishing applications appeared first on The Robot Report .

For a decade, Vercel has shaped how the web gets built. Now, we’re doing the same for agents. The companies that win the next decade will build on infrastructure designed for agents from the start, and over 2,500 people gathered in London this week to do just that at Vercel Ship 2026. Agentic infrastructure Guillermo kicked off Ship by sharing his vision for Vercel: a true full-stack platform where you can deploy anything, including software that can think. Agentic infrastructure has three parts

Sundar Pichai, Jensen Huang and Jack Clark share their advice with the BBC.

Google's new smart speaker is more about Gemini than audio quality.

Another fun example of AI hype and reality colliding

Article URL: https://khalah.substack.com/p/tell-your-llm-to-verify-its-changes Comments URL: https://news.ycombinator.com/item?id=48572151 Points: 2 # Comments: 0

Alternate title: Which AI subscription are you paying for right now, and why? Currently I'm not really paying for any AI subscription. I'm largely reliant on the company's Claude offering but I'd like to separate my personal stuff from work. I've checked out the following ~20$/month plans and have some thoughts: * Claude seems to be the most capable, but the app was pretty terrible when I tried it a couple of months ago, I rant into frequent rate limits, crashes, etc. It was just not that reliab

Is it normal being unable to be able to think deeply or think through alone. I am still quite good when in conversations, including with AI. How common is this? Comments URL: https://news.ycombinator.com/item?id=48572087 Points: 3 # Comments: 3

Article URL: https://everpaula.github.io/marketplace-ops-toolkit/operating-plan-generator.html Comments URL: https://news.ycombinator.com/item?id=48571958 Points: 1 # Comments: 0

We’re launching Cohort 2 of our 2-day intensive, cohort-based course, Build with Claude Code, taught by John Kim, who has trained hundreds of engineers at Meta to use Claude Code in real production workflows.

Today we're introducing new capabilities on Amazon Bedrock AgentCore, the platform to build, connect, and optimize agents. In this post, we cover how these capabilities close each gap: connecting agents to organizational, web, and paid knowledge; helping teams find and fix what's going wrong in production; and enforcing controls that scale as agents grow more capable. Together, they help you build more capable agents faster, govern them with controls that scale, and improve them continuously.

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For the first time since its explosive debut, ChatGPT has slipped below a crucial market share threshhold.