True story: I stopped thinking about context since GPT 5.3 Codex Single project focused threads with the recent capability of codex to spinoff new threads is goated! Codex continues and goes through compaction but remembers all the important stuff and if not, it’ll look up
AUTOMATION
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GPT-5.6 ships in three capability tiers, Sol is flagship
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@OpenAI just turned the frontier into a choice.
Instead of one model, GPT-5.6 ships as three capability tiers: Sol — the new flagship. Sets a state of the art on Terminal-Bench 2.1 (complex command-line, multi-step agent work) and is OpenAI's most capable model yet for -
TCS’s Besprosvan: AI supports factory workers, not replaces, via hazard reduction ROI
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Sol Besprosvan from TCS framed it as AI supporting professionals on factory floors, not replacing them. The use case anchor is hazard reduction, which is where the ROI conversation is easiest to win internally.
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OpenHuman’s Super Context reads your screen before you type
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ESTE AGENTE YA CONOCE TU CONTEXTO ANTES DE QUE SE LO DIGAS
— Nico (@nicos_ai) 27 juin 2026
Se trata de Super Context, lo nuevo de OpenHuman
Abres un chat nuevo, escribes una línea y ya sabe en qué estás trabajando
El truco: antes de responderte, va y se documenta solo
→ te lee la pantalla para ver qué… https://t.co/3Qf5Nj2hFc pic.twitter.com/wz0nNCEPFfTHIS AGENT ALREADY KNOWS YOUR CONTEXT BEFORE YOU SAY IT This is Super Context, the new feature from OpenHuman You open a new chat, type a line, and it already knows what you're working on The trick: before replying, it will research on its own → it reads your screen
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AgentSociety2 lets AI be social scientist and test subjects
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What if AI could run entire social science experiments from hypothesis to manuscript—while also being the test subjects? Tsinghua University researchers present AgentSociety2: an Integrated Research Environment that lets LLM agents play both roles—AI social scientists designing
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Free Google AI agent masterclass: 8-minute video and expert article
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STOP PAYING $500 FOR AI COURSES
— Charly Wargnier (@DataChaz) 27 juin 2026
If you want to build your first AI agent, Google just published an 8-minute masterclass for free.
The single best explanation of agentic loops.
Watch it, and then read this ace Loop Engineering article by ex-Googler @addyosmani 👇 https://t.co/PG4WDqM4u6 pic.twitter.com/DbANBHvMicSTOP PAYING $500 FOR AI COURSES If you want to build your first AI agent, Google just published an 8-minute masterclass for free. The single best explanation of agentic loops. Watch it, and then read this ace Loop Engineering article by ex-Googler @addyosmani
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AI Agent Trust Concerns and Latest Advancements
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If your team is deploying AI agents, this is the architecture conversation you need to have now. What's the biggest trust concern your team has with AI agents right now? Don't miss out on the latest AI advancements! Sign up here to stay informed! https://
intelligentworld.org/discover-new-t
ech?utm_source=TwtRvL&utm_medium=Pst&utm_campaign=AmzIn&utm_content=IWS-28185-NanoClaw-Can-AI-Agents-Be-Trusted
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Isolation by design for secure agent operations
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The solution is isolation by design. → Research agent: can browse the web, cannot touch private data
→ Action agent: can access sensitive tools, has no internet
→ Credentials: stored in a vault, agents use them without seeing secrets
→ Sensitive actions: trigger a human -
NanoClaw V2 Architecture Provides Autonomous AI Agents Without Surrendering Control
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This architecture is called NanoClaw V2, built by @NanoClaw_AI
. It gives agents real autonomy without surrendering control. Not every AI safety framework is built this way, and that gap is costing enterprises more than they realize. -
AI Agent Power: Unsafe Instructions Trigger Real Actions
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A real AI agent needs: → Access to emails, calendars, databases
→ Credentials for internal tools
→ Ability to issue refunds, update CRMs, send messages That power is also the problem.
One unsafe instruction = one real business action.