Causal vs observational agency. Agent actions (a) should be treated as interventions, not as evidence for hypotheses (p). Actions by other agents or tool outputs are evidence (o).
AGENTS
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Checklist: How to Build AI Agents
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How to build AI Agents • Define scope
• Structure I/O
• Add tools
• Enable reasoning
• Orchestrate agents
• Add memory Smart ≠ enough
Structure + context = performance Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #BuildInPublic -
One-line fix to prevent LLM agent delusions
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One line of code is all it takes to prevent LLM agent delusions, instead of post-training patches like RL. https://
love4all.ai/blog/why-it-is
-important-to-understand-causality-and-agency/
… 4 ∀ https://
github.com/nandodef/love4
all-ai/tree/main/docs/files
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Hermes Agent Integrates SuperGrok for Enhanced AI Capabilities
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Hermes meets SuperGrok!
— Akshay 🚀 (@akshay_pachaar) 17 mai 2026
xAI just made every SuperGrok subscription work inside Hermes Agent.
One browser login, no API key, no separate billing.
And it doesn't just unlock text chat with Grok 4.3.
The same OAuth token gives the agent access to:
→ Grok Text-to-Speech for… https://t.co/yA2ojSOE7B pic.twitter.com/xhpfpfA3AbHermes meets SuperGrok! xAI just made every SuperGrok subscription work inside Hermes Agent. One browser login, no API key, no separate billing. And it doesn't just unlock text chat with Grok 4.3. The same OAuth token gives the agent access to: → Grok Text-to-Speech for
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Why is there no ChatGPT or Claude voice app on Apple Watch?
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To this day I still don't understand why there is no ChatGPT or Claude or any other voice app on the Apple Watch, even though it looks like the perfect form factor.
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Study finds memory in LLM agents remains unreliable
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Breaking new study: memory in LLM agents still can’t really be trusted, even after over trillion dollars has gone into the development of the field.
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Developing Self-Evolving Agent Memory for AI Learning
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We're working on an Agent Memory that enables self-evolving sustainable learning, and we're looking forward to the opportunity to collab together.
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UX pattern for LLM tool failures and dialog integration
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Yes! There's a lot of nice UX approaches this style opens up.
For instance, if the LLM runs a bit of code that's blocked by the sandbox, we don't just show a `y/n/a(ll)` prompt, but instead stop the tool loop and insert the failed code into the dialog. -
AI tool poisoning exposes major enterprise agent security flaw
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#AI tool poisoning exposes a major flaw in enterprise agent security
by Nik Kale @VentureBeat Learn more: https://
bit.ly/48YvAHT #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning -
AI goal-setting feature in Codex app
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Did you know that /goal already exists in the codex app, there's no UI around it, but if you literally just start a message with /goal and write your goal then you can get it in the app, not just the CLI