Distributed State
@DistStateAndMe
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cult leader/ exit liquidity / community mod @covenant_ai
subnet (3/39/81)
Joined April 2014
If i spent the rest of my life building on @opentensor , it would be a life well lived. https://t.co/WcEHZaqkhY Our sacred pact. Bittensor will claim its place in history
covenant.ai
One Covenant, Many Orders.
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You can chat with Checkpoint II from our 72B run now. We aren't there yet, as the model is still training and hasn't undergone full post-training, but we're pretty stoked nonetheless! Pretraining on @tplr_ai, post-training on @gradients_ai, hosted on @chutes_ai The powers of $TAO
tplr.ai
Chat with Covenant 72B - A 72B parameter LLM trained on Bittensor's decentralized Templar network
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promise made, promise delivered. @const_reborn ripping 1,000T subnet buys. let's go. #bittensor $TAO $dTAO
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Crazy how @opentensor has already achieved this. Onwards
New post on https://t.co/neli1nzo0Y! Universal Enshrined Encrypted Mempool EIP By: - jannikluhn 🔗 https://t.co/ZOvoxsc7Dk Highlights: - The proposed EIP introduces an encrypted mempool to Ethereum, which protects transactions from front running and increases censorship
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Hash Rate - Ep 151: Bittensor EXPLOIT Summit 🧙♂️Guests: @siliconjose @admiralagrippa of @ExploitSummit Tickets: https://t.co/qmDbIXi9mE March 30-31 | San Francisco
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Once again, I’m asking you to consider decentralized AI! @covenant_ai
I will be pushing for a moratorium on the construction of data centers that are powering the unregulated sprint to develop & deploy AI. The moratorium will give democracy a chance to catch up, and ensure that the benefits of technology work for all of us, not just the 1%.
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Nvidia is fast becoming open-source kings, they actually pre-trained, mid-trained, post-trained, and got better results than Qwen3 which is impressive! Now we only need to bully them about nvidia-open-model-license and multimodality...
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Missed this week's TGIF Space? Catch up on everything happening across Covenant AI. This week: Basilica's rebuilt incentive mechanism, why decentralized compute economics are broken (and how we're fixing it), @NeurIPSConf recap, and a frank discussion on the value of patient
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Don't look now, but this is actually quite huge 👀 https://t.co/M3HIfWLlZX Chutes can now serve as an IDP. Developers can now have users "Login with chutes" and all of the compute/inference costs pass long directly to that user and/or their subscription on chutes. No more
github.com
Make chutes an IDP with oauth2 style access/refresh tokens, configurable scopes/visibility, etc.
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Why is our halving countdown the most accurate & always in sync? tldr: we pull each piece directly from the chain and recalculate every 12 sec. (more details 👇🧵) Accuracy matters when every block counts. See for yourself: https://t.co/rFQqw6XnjD
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Tools as Types - The future of agentic workflows on @basilic_ai
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Just 1 day to go until the first ever #Bittensor halvening Only 7,558 $TAO left to be emitted before we enter a new phase of scarcity $TAO
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@Jsevillamol @tplr_ai Hi Jamie, our 72B run has so far processed 750B tokens and we are targeting ~1T for completion. Plans for the start of the next large scale run are still in development, as the current run wraps up we expect to be doing a series of smaller scale tests in public runs to evaluate
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Im just diggin the hole on Twitch. which is equivalent of minimizing the loss function somehow. saddle point speedrun. https://t.co/CAZXBLn8j1
twitch.tv
Tekken
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Language diffusion models are faster at writing code (and other structured text). The other day, I had the thought that language diffusion models sort-of have something analogous to speculative decoding built-in by default. In speculative decoding for autoregressive models, we
Added confidence-aware parallel decoding to my tiny text diffusion model! Before, we had “scheduled iterative refinement” for decoding, where it would go through a masking schedule and resample all positions at each iteration. This didn’t take into account token probabilities
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Coding agents are moving beyond vibe coding toward real-world, enterprise software engineering. Attention is shifting from frontend demos and isolated bug fixes to refactoring large codebases, improving the efficiency of complex systems, and handling long-horizon tasks. What
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The only meaningful debate is for the sake of driving towards principled formalizations, never ego. Debate with kindness and grace, as emotions and deep struggles are real, though unseen. Debate knowing the social levers narcissists can pull to gain power over you.
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