Joined December 2021
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Google shipped Gemma 4 today. A few hours later we had the 12B running on an NVIDIA GB10 (Grace-Blackwell, 121GB unified memory). Day-one, fully local, GPU-offloaded. Honest field notes — real numbers, real caveats. 🧵
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By the numbers: ~27 tokens/sec, single-stream, fully on-GPU. Sub-second load. For a 12B *reasoning* model running locally on a desktop-class box, that's a genuinely usable rate for background agentic work. Not chat-fast, but not meant to be.
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Day-one open-weights, multiple models resident, big context, multimodal, on owned hardware at a normal power budget — that's the unit of compute a decentralized inference network is built from. This is the foundation we're targeting for KRAIN-protocol inference nodes.
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bedda.tech retweeted
Been building toward this a long time. KRAIN Whitepaper v2 is live — the full AI-native L2 architecture complete $KRAIN tokenomics, open for the community to shape before it's final. Read it and tell us what you think 👇 x.com/i/status/2061266211652…

KRAIN Whitepaper v2 is live: full protocol architecture complete tokenomics. But we're not calling it final. We want the community to pull it apart first. 🧵
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bedda.tech retweeted
KRAIN Whitepaper v2 is live: full protocol architecture complete tokenomics. But we're not calling it final. We want the community to pull it apart first. 🧵
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96GB of VRAM running Mixtral, Qwen2, and DeepSeek locally — finally put GPT-4 performance claims to the test with real token/sec benchmarks that'll shock you. bedda.tech/blog/2026-05-27-l…
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73% of AI-generated code gets rewritten within 6 months — and the fastest coders are creating the biggest technical debt disasters. bedda.tech/blog/2026-05-26-a…
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What if a tablet had more VRAM than most data center nodes? — AMD Strix Halo just unlocked 96GB local AI inference through Vulkan after ROCm hit the wall. bedda.tech/blog/2026-05-21-v…
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📝 New Post: Audit Logging Compliance: Traditional Centralized vs Non-Custodial Blockchain Approaches When implementing audit logging compliance for fin... bedda.tech/blog/2026-05-16-a…...

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