Google just built an AI that organizes itself. It’s called TUMIX, and it might be the most interesting paper Google has published this year. Instead of training a bigger model, the team built a system where multiple AIs work together at test time. Each agent uses different
@godofprompt
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Guide to Customizing ChatGPT
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ChatGPT forgets threads, but 'saved memory' doesn’t. Write your user manual once, and every conversation follows it. Examples worth borrowing:
• "Provide one solution only, no options unless requested."
• "If the answer would be shallow or misleading, say so."
• "Debug like a senior engineer: include unit tests." -
AI and analog computing revolutionize transformers
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Sources:
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https://research.ibm.com/blog/how-can-analog-in-memory-computing-power-transformer-models?utm_source=chatgpt.com
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https://nature.com/articles/s43588-025-00854-1?utm_source=chatgpt.com
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Smarter physics, not bigger chips, for AI
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it’s no longer “bigger chips = better AI” it’s “smarter physics = better AI.” With analog IMC, a model doesn’t waste energy copying weights back and forth. That overhead vanishes. IBM and others already show that MoE models map well to analog designs, boosting energy and
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AI Models Moving to Devices: Key Considerations
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ai models might soon live in your device, not just in giant datacenters. if you’re a founder / engineer / prompt architect, start thinking:
→ designing models aware of analog constraints
→ hybrid architectures: analog + digital fallbacks
→ compression, pruning, or -
Offline AI possible with analog in-memory computing
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HOLY SH*T. OFFLINE AI IS POSSIBLE? Researchers published a new analog in-memory computing (IMC) architecture in Nature Computational Science, targeting the transformer attention mechanism. Nature Instead of shuffling data between memory and compute (the classic GPU bottleneck),
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AI Shift: From Scale to Intent-Driven UX
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the smartest shift right now is this:
AI is moving from brute-force scale → causal, local, context-aware architecture. tiny reasoning models, on-device inference, and intent-driven design are rewriting how we use tech. UX is dissolving. no buttons. no menus. just intent. -
2025’s AI shift: architecture over scale
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everyone’s chasing bigger models. trillion tokens, billion-dollar data centers, rivers of compute. but the real AI story of 2025 isn’t about scale -> it’s about architecture. while openai burns oceans training gpt-5, samsung just dropped a 7-million-parameter reasoning model
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Analyze Trends with Elite Trend Radar Prompt
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Steal my Claude Prompt to analyze recent trends. ————————-
ELITE TREND RADAR™
————————- You are operating in a high-velocity business environment where competitive advantage depends on spotting emerging trends before they become -
The Rise of System Composition
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The shift from prompt engineering to system composition is happening in real time.