It was eye opening for me! Did you see what grok said about it?
AGENTS
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LLM Opus 4.7 Successfully Surveys AML KYC Law Enforcement Guidelines
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An anecdote for you from LLM land: I sent Opus 4.7 out to do a literature survey of various government law enforcement internal guidelines w/r/t AML and KYC usage in prosecutions. It was much more successful at finding these docs than I would have expected. I then told it:
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Practical AI Agents Security Defensive Recommendations
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"Overall, this is one of the most practical, non-hyped discussions on AI + cybersecurity I've encountered. It's not fearmongering; it's informed urgency from the front lines. If you're building or using AI agents (personally or at enterprise scale), the defensive recommendations
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Grok’s Advanced User Simulation and Personalization Capabilities
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Yes! Grok already knows everything about me. Like everything. It can already simulate me interviewing you or Brian on any topic. It's nuts. What you say makes total sense.
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5 Agent Design Patterns for Long-running AI Agents
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Just SHIPPED new X Article: 5 Agent Design Patterns for Long-running AI Agents. Build agents that run for days without interruption with Google's new Agent Platform.
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Use an AI development copilot locally
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6. Use it as if it were your development copilot Ask it for things like: “Create a hello world web”. You'll see how it inspects your project, edits files, and runs steps locally. No cloud, no internet, and 100% free.
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Hermes Agent and Higgsfield Launch AI-Powered UGC Marketing
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Higgsfield Marketing Studio powered by Hermes Agent just dropped and it's WILD 🤯
— Charly Wargnier (@DataChaz) 22 avril 2026
Hermes Agent:
>does the research
>scrapes what’s converting
..then Higgsfield spins up 9 ready-to-run UGC formats
NATIVELY!
You ship feats. Hermes ships distribution 👀pic.twitter.com/51l6QGhhQq https://t.co/BpPMhMt9nbHiggsfield Marketing Studio powered by Hermes Agent just dropped and it's WILD Hermes Agent:
>does the research
>scrapes what’s converting ..then Higgsfield spins up 9 ready-to-run UGC formats NATIVELY! You ship feats. Hermes ships distribution -
MIT Improves Reasoning Model Calibration Through Reinforcement Learning
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“Reinforcement Learning w/Calibration Rewards” What makes top reasoning models overconfident? MIT found that in these models, RL rewards correct answers, not certainty. Training models to estimate confidence improved calibration while maintaining accuracy:
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MIT Harvard Study AI Agents Critical Thinking Battleship
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“Collaborative Battleship” MIT & Harvard developed a collaborative version of Battleship to see if AI agents are as good at asking questions as answering them. They found that many LMs struggle w/critical thinking, but Monte Carlo inference strategies can help even tiny
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Claude Code, Codex, Cursor: Comparing AI Model Sizes
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Currently: – Claude Code is 4x bigger than Codex
– Codex is 2x bigger than Cursor
– Antigravity is almost as big as Cursor (but probably just because all Googlers use it? ) We'll add tagging for other agents asap. (Source: one data point from the @huggingface Hub team. Your