Tiny AI Models Solved a Million-Step Task With Zero Errors — Local AI’s Big Moment
Автор: Ben Parry
Загружено: 2025-12-17
Просмотров: 742
Tiny AI models just solved a million-step reasoning task with zero errors — a result that completely flips the frontier-model narrative on its head.
This episode from the Ava Technologies Show breaks down a research paper that could reshape the future of AI development, local inference, and on-device intelligence.
🔥 What We Cover:
• How small models achieved perfect accuracy over massive task horizons
• The “team consensus” method that beats giant frontier models
• Why tiny, specialised models may soon rival GPT-4 tier systems
• What this means for private, local, on-device AI
• How this shifts the entire conversation about compute, energy use, and industry investment
The core insight is simple but powerful:
Instead of betting everything on one enormous model, orchestrate a team of small models, break problems into tiny steps, and reach consensus.
The result: accuracy without scale, and privacy without compromise.
This direction is exactly where we’re building — and we have something exciting coming soon that builds on these ideas. Stay tuned.
💬 What do you think?
Is this the beginning of a small-model renaissance?
👉 For daily AI news and analysis, follow the Ava Technologies Show:
/ @avatechnologies
👉 For deeper thinking about sovereignty, privacy, and the future of intelligence, check out my long-form essay series.
#AI #LocalAI #MachineLearning #ArtificialIntelligence #PrivacyTech #OnDeviceAI #SovereignAI #TechNews
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●▬▬▬▬ ABOUT THIS CHANNEL ▬▬▬▬▬●
On this channel, I explore AI, technology, and the ideas shaping our digital future.
We're building Whisper — a fully private, on-device AI — and Nano Collective, our open-source community focused on decentralised, privacy-preserving intelligence.
Sometimes I talk about Bitcoin, decentralisation, and what sovereignty really means in the age of AI.
If you care about intelligence that works for you, not against you, you’ll find a lot here.
●▬▬▬▬ DISCLAIMER ▬▬▬▬▬●
NOT FINANCIAL, LEGAL, OR TAX ADVICE.
This channel is for entertainment and education.
These are my own opinions — not professional guidance.
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