reviews are in Angela used the Creator Guide to build better Characters, and it shows access at http://
c.ai/guide (๑˃̵ᴗ˂̵)
AGENTS
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Reviews Show Angela Built Better Characters with Guide
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20 Must-Try AI Tools for 2025: Covering All Categories
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20 must-try AI tools for 2025. This stack covers everything: chat & reasoning image gen video gen voice/music AI search automation AI agents My top 3 right now: ChatGPT, Perplexity, Midjourney. What are yours? #AI #AITools #GenerativeAI #Automation
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Q-Learning by Inversion for Flow Policies in Offline RL
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Q-Learning by Inversion. Flow policies should be excellent for offline RL, but their iterative generation of actions makes RL training painful. This paper transforms each flow step into an RL step, then uses inversion to recover
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Jensen Huang compares an AI agent to a worker in a workshop
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Jensen Huang’s simplest explanation of an AI agent: a worker in a workshop.
— NVIDIA (@nvidia) 19 juin 2026
The model thinks. The harness gives it form. Tools and skills let it act. And the runtime gives the agent a place to get work done. pic.twitter.com/mrahjDICRQJensen Huang's simplest explanation of an AI agent: a worker in a workshop. The model thinks. The harness gives it shape. Tools and skills allow it to act. And the execution environment gives the agent a place to perform its work.
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Google DeepMind AI Co-Scientist accelerates scientific discovery
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Google’s #AI Co-Scientist Aims to Accelerate Scientific Discovery
— Ronald van Loon (@Ronald_vanLoon) 19 juin 2026
by @GoogleDeepMind#AIAgents #GenerativeAI #ArtificialIntelligence #MachineLearning pic.twitter.com/cynavBIWP6Google’s #AI Co-Scientist Aims to Accelerate Scientific Discovery
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The true primitive: authority protected by proof
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Exactly. 'Impossible to unprison' is the wrong goal. The true primitive is authority protected by proof. GoalOS assumes that every model, agent, and evaluator can fail: generate → verify → contest → canary → monitor → cancel The capacity
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AtomMem: Long-term memory for LLM agents using atomic facts
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Great paper on long-term memory for LLM agents. (bookmark it) Coarse summaries drift and unconstrained updates corrupt, so AtomMem makes the unit of memory small. A Fact Executor pulls high-value atomic facts out of long interactions, organizes them into hierarchical event
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Firecrawl’s Prometheus Agent Writes Scraper Code from Requests
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Firecrawl launched a Forward Deployed Agent for web data!
— Sumanth (@Sumanth_077) 19 juin 2026
Prometheus is an experimental agent that turns plain-English data requests into working scraper code. You describe what you want, it writes a TypeScript collector using the Firecrawl SDK, runs it against the live site to… https://t.co/Zz1OKvGplh pic.twitter.com/9HrDEk1xjtFirecrawl launched a Forward Deployed Agent for web data! Prometheus is an experimental agent that turns plain-English data requests into working scraper code. You describe what you want, it writes a TypeScript collector using the Firecrawl SDK, runs it against the live site to
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The Canonical Affirmation: The Six Steps of the GoalOS Cycle
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The canonical affirmation: 1. GoalOS defines what must change.
2. Agents attempt the change.
3. Evidence demonstrates what happened.
4. Evaluation determines what worked.
5. The Proof Gradient determines what can propagate.
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Periodic reminder to clear your agents.md and claude.md
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A periodic reminder to clear your agents.md & claude.md – if you're like me, they're probably filled with useless tips and tricks from months ago that confuse the latest models