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NVIDIA BioNeMo accelerates Anthropic Claude Science

Anthropic Claude Science now integrates the NVIDIA BioNeMo Agent Toolkit to accelerate computational life sciences research. Anthropic has launched the public beta of Claude Science, an AI workbench built for scientific research. The platform enables scientists to converse directly with digital agents using natural language to execute end-to-end research workflows. This system connects natively to […] The post NVIDIA BioNeMo accelerates Anthropic Claude Science appeared first on AI News .

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NVIDIA BioNeMo accelerates Anthropic Claude Science
Hacker News LLMLLMs

How to Switch LLM Providers Without Downtime

Article URL: https://konghq.com/blog/enterprise/how-to-switch-llm-providers-without-downtime Comments URL: https://news.ycombinator.com/item?id=48762234 Points: 1 # Comments: 0

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Hacker News: Show HN

Show HN: My first SaaS to help human developers and AI agents share context

Hello HN, I created Decispher (decispher.com) to enable human developers and AI agents working alongside each other to share their context. It has some pretty cool features, like Branch Story (explains why a branch's code looks the way it does) and Session Context Transfer (an MCP tool that can copy context from one chat, agent, or machine to another). You can also capture context from engineering platforms like Slack, JIRA, and Git(hub/lab) just by tagging @Decispher. Comments URL: https://news

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Hacker News LLMLLMs

No LLM Code in Dependencies

Article URL: https://joeyh.name/blog/entry/no_LLM_code_in_dependencies/ Comments URL: https://news.ycombinator.com/item?id=48762008 Points: 30 # Comments: 10

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Hacker News Ask

Ask HN: Experience with AI Memory Plugins

Just wanted to know hows your experiences or opinion on AI Agent memory plugins. Most are out-of-the-box and comes with MCPs. is it really effective towards Productivity? Comments URL: https://news.ycombinator.com/item?id=48761798 Points: 1 # Comments: 0

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Recurrent Neural Networks

10 Agentic AI Frameworks You Should Know in 2026

LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, Mastra, and more. If you're building AI agents in 2026, these are the frameworks worth paying attention to before starting your next project.

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10 Agentic AI Frameworks You Should Know in 2026
The Verge

AI won’t save advertising, says Digitas’ Amy Lanzi

We’ve got a special Decoder today — I had the chance to talk with Amy Lanzi, the CEO of Digitas North America, in front of a live audience at the Uber Villa at the Cannes Lions advertising festival in the South of France. I know, it’s a hard gig, but I do it for you. […]

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AI won’t save advertising, says Digitas’ Amy Lanzi
Product HuntTools

Tamamon

<p> A desktop pet that grows as you code with Claude Code </p> <p> <a href="https://www.producthunt.com/products/tamamon-a-tiny-desktop-pet-that-grows?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/1186410?app_id=339">Link</a> </p>

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Hacker News Ask

Ask HN: How do you manage bad artifacts?

We use a repo called business-ops that has read-only codebase access, dropbox access, and g-suite access, along with all our brand/sales/marketing stuff. We use Cursor to work in here mostly on biz-dev, non-technical proejcts. A lot of what is generated is ideation, and 75% or more is unused. But it gets stored as MD files regardless. So future agents use some of this as context for thinking about whatever the new session is exploring. Which sucks and means it gets more noisy over time. Anyone h

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Hacker News Ask

Ask HN: How is hiring? (July 2026)

For those of you who are actively trying to fill roles, is AI making your ATS funnel productive and yielding lots of good candidates willing to work? Or are you not able to fill roles because a few script kiddies are spamming your ATS with ghost job applications, and you can’t tell who’s a real candidate anymore? Little bit of both? Neither? Comments URL: https://news.ycombinator.com/item?id=48761583 Points: 1 # Comments: 0

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Towards Data Science - Medium

Time-Series LLMs, Explained with t0-alpha

t0-alpha is a decoder-style patch transformer for probabilistic time-series forecasting. Raw series are split into 32-step patches, embedded, processed through causal time-attention and group-attention layers, and decoded into future quantiles rather than a single point forecast. The post Time-Series LLMs, Explained with t0-alpha appeared first on Towards Data Science .

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Hacker News Ask

Ask HN: Why aren't companies hoarding AI talent?

I get that layoffs boosted valuation of some major corporations that previously over-hired, but it’s been a defining feature of our industry for several years now (since 2023). Nothing is really coming out of the layoffs - all the money is pooling in maybe 10 companies, and most don’t stand to gain anything from this - maybe slightly better candidate pool when they do hire. For the most part, the AI layoff trend has ran its course and isn’t innovative. Nothing big will come out of it - if all AI

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Lawfare (AI Policy)Regulation

An Optimist’s Account of Artificial Intelligence

A review of Josh Tyrangiel’s “AI for Good: How Real People Are Using Artificial Intelligence to Fix Things that Matter” (Simon & Schuster, 2026).

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UX Planet

Caveman for Claude Code

How It Works, Why Use It, and How to Set It Up Continue reading on UX Planet »

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Caveman for Claude Code
MIT Tech ReviewResearch

Teaching AI to run with the turbines

Artificial intelligence may have captured the public imagination through chatbots and image generators, but some of its most consequential use cases are unfolding far from consumer-facing tools. In industries where physical infrastructure, operational continuity, and safety are paramount, AI is becoming a core operating layer. With its sprawling industrial systems and constant stream of operational…

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Hacker News Ask

Tell HN: We need an accounting system for cognitive debt

The term “cognitive debt” is gaining ground [1]. We can now produce code faster than we can understand it. The bottleneck is real, and so is the feeling of being choked. The situation is not new. We have always had code no one quite dares to touch. Agentic coding makes it much worse. You probably know the feeling. Everything can look fine. The code compiles. The tests are green. The pull request looks reasonable. The diff gives off a vague “probably fine” vibe. But does anyone actually understan

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MIT Tech ReviewResearch

The Download: a startup has a solution for AI’s groupthink problem

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. LLMs are stuck in a groupthink groove. This startup is trying to get them out. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give me a random number between 1…

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The Download: a startup has a solution for AI’s groupthink problem
Recurrent Neural Networks

Humanity’s Last Exam is a Distraction

This article takes a gentle dive into the ultimate AI systems evaluation benchmark, outlining why it was created, curating diverse opinions from groups of experts in the field about it, and wrapping up with a summary of the most widely accepted verdict.

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Humanity’s Last Exam is a Distraction
The Robot ReportRobotics

Luxonis closes Series A round to scale physical AI perception layer

Luxonis said it plans to scale production of its OAK camera and refine its platform to support robotics and industrial automation. The post Luxonis closes Series A round to scale physical AI perception layer appeared first on The Robot Report .

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Luxonis closes Series A round to scale physical AI perception layer
TechCrunch AIBusiness

Yep, we’re using OpenClaw to date now

Ben Guez has "a bunch of potential international wives in [his] DMs," thanks to an automated script he set up using OpenClaw, Claude code, and Instagram trials.

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Towards Data Science - Medium

The Untaught Lessons of RAG Question Parsing: Structure Before You Search

Enterprise Document Intelligence [Vol.1 #6ter] - Six positions on the question-parsing brick that contradict the mainstream RAG playbook The post The Untaught Lessons of RAG Question Parsing: Structure Before You Search appeared first on Towards Data Science .

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