May we cross the ASI stage smoothly, exponentially and without hindrance
SAFETY
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AI output without source requires manual review
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If AI output does not show where the answer came from, reviewers have to check the work manually, slowing the process.
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Human review needs sufficient information for AI judgments
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Human review only works when the person has enough information to make a good judgment about AI recommendations.
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Anthropic client sues US government for restricting AI model access
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Interesting: an Anthropic client has just sued the US government over its directive that forced Anthropic to cut off access to its AI models Fable 5 and Mythos 5.
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Agents fail silently in production, Latitude detects them
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Agents are failing in production right now and most teams have no idea.
— AI Highlight (@AIHighlight) 23 juin 2026
They fail silently returning responses that look fine until a customer notices.
Latitude traces full agent sessions, surfaces the patterns, and tracks every issue from detection to verified fix. https://t.co/ZWhYgmywJEAgents are failing in production right now, and most teams have no idea. They fail silently, returning responses that seem correct until a customer notices. Latitude traces complete agent sessions, highlighting
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Claude’s Safety: Training, Classifiers, Web Access
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We have worked hard to make it secure at every level. 1/ At the model training stage, 2/ the classifiers on top of our models and things like automatic mode, 3/ we protect what Claude has access to (the websites it can browse and it
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Mythos-level AI risks and open release preparation concerns
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All Mythos-level models are likely to invite similar risks. Those risks will only be greater with the release of open Mythos-class AI coming in the next 6-12ish months (assuming China allows it) The lack of clarity over what risks concern the government may be slowing preparation
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Open-source monitor tracks agent behavior and failures
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Tracking API costs is easy.
— Charly Wargnier (@DataChaz) 23 juin 2026
Knowing if your agents actually annoyed a user is harder.
Latitude V2 fixes this.
It's an open-source (MIT) monitor reading 100% of traces to catch:
→ bad behavior
→ cluster failures
→ build evals
Fully automated. 100% Free and open-source 👀↓ https://t.co/Yss9fsZWuHTracking API costs is easy. Knowing if your agents actually annoyed a user is harder. Latitude V2 fixes this. It's an open-source (MIT) monitor reading 100% of traces to catch:
→ bad behavior
→ cluster failures
→ build evals Fully automated. 100% Free and open-source ↓ -
Momentic launches agents to verify AI-generated code
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AI now writes nearly half of all code, but almost no one is verifying it before it ships. Momentic just launched agents that close that gap; they learn your entire product, catch bugs before they hit production, and open the PR to fix them.
— AI Breakfast (@AiBreakfast) 23 juin 2026
In beta alone the system analyzed… https://t.co/T8lSaHPMrJAI now writes nearly half of all code, but almost no one checks it before deployment. Momentic has just launched agents that fill this gap; they learn your entire product, detect bugs before they reach the
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Carmack compares AI opposition to protests against power plants
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Quantify the harms for me. Consider it like electricity — would people protesting “NO POWER PLANTS!” be sensible? The value of electricity to humanity is vast, and the value of AI will be as well.