Thanks for releasing the weights with a good license
AI
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Query about Kimi K2.7 scores and comparison
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Do we have Kimi K2.7 scores yet? If so, how does it compare?
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Multi-step Workflows: Persistent State and Parallel Bursting
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You run multi-step workflows where state must persist across tool calls. You need bursting capability (i.e., thousands of parallel environments for RL training or evaluations) that must go from zero to scale in
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Mastercard executive discusses virtual C-suite for small businesses using Lakebase
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“We made a virtual C-suite. It serves small business owners by creating a suite of agents to help them manage cash flow, investments and more. Standardizing on Lakebase has been critical.” Fed Cohen Freue, EVP of AI & Data Operations at Mastercard, on how a unified
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Mythos-class models: 4-8 months to harden IT systems
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Assuming open models continue to lag about 8-12 months behind closed source (at least in coding), the countdown to hardening IT systems against Mythos-class models is now at 4-8 months Having publicly available and relatively safe defensive Mythos-class models today is important
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$25,000 for sponsorships, do you doubt AI?
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This guy is paying $25k for referrals and you're still wondering what you could use an AI Agent for? https://t.co/Xh24XPtTOX
— AI Breakfast (@AiBreakfast) 16 juin 2026This guy pays $25,000 for referrals, and you're still wondering what an AI agent could do for you?
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Rejection of British request for access to Anthropic’s AI models
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British Prime Minister Keir Starmer reportedly asked the Trump administration for a waiver so that British nationals and companies could regain access to Anthropic's most advanced AI models. The answer was no. A spokesperson for
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Codex internal memory API endpoints for managing notes
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not exposed to the end user (for good measure) but as an in-built tool that codex can call it can do the following: memories/list
memories/read
memories/search
memories/add_ad_hoc_note -
AI agents learn to predict remaining budget intervals to avoid waste
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Can AI agents learn to stop wasting resources on doomed tasks? Researchers from Northwestern, Michigan, Cornell, Stanford & others introduce BAGEN. It trains agents to predict remaining budget intervals and alert users early, instead of blindly overspending. Key results:
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Gary Marcus criticizes White House AI regulation freak out
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For years, I have encouraged White House administrations to support moderate, sane AI regulation, including preflight checks to weigh costs and benefits. I still do. But a WH freak out like this is not at all what I had in mind.