AI Briefing — Thursday, June 25, 2026
What mattered in AI on Thursday, June 25, 2026 — curated from 15+ sources.
Top stories
Patronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents
Agent-testing startup Patronus AI, founded by former Meta AI researchers, is experiencing nearly insatiable demand, its investor says.
Notion killing Skiff-influenced email app since most users use AI agents instead
Notion is "going all in on using agents to run your inbox."
Anthropic’s Claude is winning over paid consumers, a market owned by ChatGPT
Despite ChatGPT's commanding market lead, consumers who pay for AI have been increasingly choosing Anthropic's Claude, data shows.
Besimple AI (YC P25) Is Hiring
Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x
Un-0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional AI systems.
Which tokens does a hybrid model predict better?
Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion
Hi HN, Nick here. We’re launching OpenKnowledge ( https://openknowledge.ai/ ), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and other agents. Avai…
Netris raises $15M Series A from a16z to help AI neoclouds go live faster
Netris provides software that runs on network switches, and offers a platform that helps neocloud operators reduce the time it takes to go live.
Political bias in AI: Where the AI models stand
Deep dives worth reading
Run a vLLM Server on HF Jobs in One Command
Which tokens does a hybrid model predict better?
Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel
Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World
Build real agentic apps using CUGA: two dozen working examples on a lightweight harness
Research paper of the day
Learning Action Priors for Cross-embodiment Robot Manipulation
Most Vision-Language-Action (VLA) models build on a Vision-Language Model (VLM) backbone by attaching an action module and optimizing the full policy jointly. This design inherits strong visual and linguistic priors fro…
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