MIT proved you can delete 90% of a neural network without losing accuracy. Five years later, nobody implements it. "The Lottery Ticket Hypothesis" just went from academic curiosity to production necessity, and it's about to 10x your inference costs. Here's what changed (and
SOFTWARE
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AI engines build mind-blowing software, but search engine creation is hard
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Software engineers are already telling me that their AI engines, like Anthropic's Claude Opus or ChatGPT's advanced models, are building software so advanced that it would blow your mind. So, just build your own search engine. Well, except that's not really possible that easily
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Grok in new Teslas enables voice-controlled driving
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Grok is already in new Teslas. It's really amazing—you talk to it and tell it what you want to do, and it takes you there
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2026 AI Predictions: Code Generation Becomes Key Benchmark
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Alright, here's my 2026 AI Predictions (What did I miss?): -All meaningful progress benchmarks shift to code gen capabilities. Models write looong systems, debug themselves, and ship real applications. Your dad will proudly show you an app he made. Short prompts expand into
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Self-hosted Gmail, Docs, Drive alternatives emerging through code
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Soon people will vibe code their own self-hosted GMail, Google Docs, GDrive, etc. https://t.co/69C2WyNOrh
— Marek Rosa | European🇪🇺 | South African🇿🇦 (@marek_rosa) 1 janvier 2026Soon people will vibe code their own self-hosted GMail, Google Docs, GDrive, etc.
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Infrastructure Advantage in AI Development
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The infrastructure advantage is crazy: → ROCK handles 10,000+ concurrent sandboxed environments
→ ROLL does async train-rollout multiplexing
→ iFlow CLI ensures training-deployment consistency Most labs are trying to train agents without this foundation. It won't work. -
Building the ecosystem before the model
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They didn't just train a model. They built the ENTIRE ecosystem first. → ROLL: RL training framework
→ ROCK: Sandboxed execution engine
→ iFlow CLI: Agent orchestration system ROME wasn't built in a day. The infrastructure came first. The model came last. -
18 Areas Shaping Future Data Processing Health and Communication
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Looking ahead, tomorrow's 18 areas could influence how we consume and process data, approach health and wellness, and interact and communicate with one another. Source @McKinsey_MGI Link https://
mck.co/44qUnCa via @antgrasso #DigitalTransformation #BusinessStrategy #AI -
Tesla Customer Demonstrates Autonomous Drive Software in Production Release
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Haha yes. At one point I thought Tesla might do the drive, possibly with a slightly tuned version of the software etc. A customer deciding to do it with their own car and production release of the software is the right way, very happy it turned out this way.
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Tesla FSD V14.2 Completes First Fully Autonomous Coast-to-Coast Drive
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The first 100% autonomous coast-to-coast drive on Tesla FSD V14.2! 2 days 20 hours, 2732 miles, zero interventions. This one is special because the coast-to-coast drive was a major goal for the autopilot team from the start. A lot of hours were spent in marathon clip review