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My Artificial Cognition trilogy is now available for free. I began writing the first book a decade ago (2016) and completed the last two in 2023. The process of writing was an aid to understanding the development of today's AI. Insights in these books have stood the test of time and offer powerful metaphors for understanding today's AI and its future evolution. Feel free to have your daily AI driver ingest them for additional insight!
Most multi-agent systems are just Conway’s Law for AI.
You gave every team its own specialist subagent → orchestrator on top → Frankenprompt, lossy handoffs, subagent sprawl, and 2x the latency.
Anthropic’s new post: fold most of them back into one main agent loop with progressive skills + tool search.
Shared context + modern models often beat the multi-agent setup on quality, cost, and speed.
Subagents still have a place (true parallel work, context bloat, conflicting instructions). Everything else is usually just organizational debt wearing an agent costume.
claude.com/resources/article…
1/ Most people still think recursive self-improvement is a future sci-fi problem.
It’s not. Labs are already running early versions of it.
The only question is how far they let it go. 🧵
11/ Pichai’s “pretty far from the end state” and Recursive’s “agents helped build this model” are the same sentence in different voices.
Weak RSI is here. Full RSI is what they’re still deciding whether to allow.
xitter.cf/0xDepressionn/status/2…
1/ This week’s GPU capacity story isn’t “we ran out of chips.” It’s power, pre-buying, sold-out contracts, and credit. A few key posts captured it. Thread 🧵
10/ Net: Hyperscalers are capacity-constrained on powered, usable GPUs into 2027. They’re pre-buying chips they can’t plug in yet. Smaller players face credit walls. Power + construction timelines + financing matter more right now than pure chip production.




