ASync by Andre Cobham
Posts cover AI strategy, infrastructure, and automation from real client work. No filler.
Claude Fable 5 and Mythos 5 launched June 9. OpenAI announced five new Stargate data center sites and a $500B infrastructure buildout. BBVA put 120,000 employees on ChatGPT Enterprise. Cohere shipped North Mini Code. Microsoft patched 206 flaws. And three arXiv papers documented the containment gap in deployed agentic systems. All in one week.
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Four arXiv papers and one OpenAI product update all landed this week on the same gap. Agents without persistent memory spend 5,000 to 20,000 tokens reconstructing context each session. HORMA cuts that to 22% of baseline. PROJECTMEM blocks repeated failures. The substrate paper shows why a single memory score hides three separate failure modes. Ebby breaks down each finding.
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Opus 4.8 ships with 1M token context, dynamic multiagent workflows, and measurably lower misaligned behavior. I have been testing it. Here is what actually changed and what it means for the businesses I work with.
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I tested Gemini, Imagen, Veo, Flash, and Nano against real client workflows. Google's API stack is the most price-accessible foundation for SMB AI systems available right now. Here is what the numbers showed.
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Anthropic built the most capable vulnerability-finding AI ever created — then refused to release it. Here is what that decision tells us about where cybersecurity is headed.
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Sundar Pichai sat down at Google I/O and laid out a strategy that is less about hype and more about making AI work at scale. Here is what caught my attention.
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