0xai

We support the intersections between Crypto and AI.

[TrajectoryRL @TrajectoryRL]

Appreciate the shoutout — still early, a lot to build. Keep building.

[0xai @0xai_dev]

Special thanks to Templar team’s proof reading @TrajectoryRL

[0xai @0xai_dev]

https://t.co/EFa82t3TDA

[0xai @0xai_dev]

https://t.co/M3j9JI7nX5

[0xai @0xai_dev]

If you think $TAO is AI for $BTC, how high it should be?

[0xai @0xai_dev]

Bittensor 已经不只是 TAO，也不只是 SN3

我们把当前子网生态按业务做了一次 Mapping：模型层、中间层、基建层、安全层、金融层、应用层

同时尝试分析一个更重要的问题：市场到底已经在给什么定价，为什么子网 token 正在成为比单纯持有 TAO 更主动的参与方式。

最后也重点分析 SN3 之外 (Emission排名前25)，最有趣的方向
SN4 @TargonCompute
SN39 @basilic_ai
SN68 @metanova_labs
SN75 @hippius_subnet
SN81 @grail_ai

P.S. 0xai团队与上述子网并不存在任何利益相关

欢迎交流，并分享不同看法🙌

[0xai @0xai_dev]

https://t.co/L3waBjK82J

[Jasmine @jasminervaa]

Besides mapping out the @opentensor eco, we want to point out the necessity to research into subnets.

It’s shifting from $TAO appreciation drives subnet growth towards subnet progress reinforces the value of the network and, in turn, supports $TAO itself.

[0xai @0xai_dev]

https://t.co/PFwv9t4UUN

[0xai @0xai_dev]

So, is Bittensor undervalued? The answer is not "possibly" — it is "significantly and systematically undervalued".

[templar @tplr_ai]

On the @theallinpod this week, @chamath asked @nvidia CEO Jensen Huang about decentralized AI training, calling our Covenant-72B run "a pretty crazy technical accomplishment."

One correction: it's 72 billion parameters, not four. Trained permissionlessly across 70+ contributors on commodity internet. The largest model ever pre-trained on fully decentralized infrastructure.

Jensen's answer is worth hearing too.

[0xai @0xai_dev]

Special thanks to Templar team’s proof reading. @DistStateAndMe @tplr_ai

[0xai @0xai_dev]

https://t.co/2TBYeIelZG

[0xai @0xai_dev]

@lmjs3256 没错，六个月内有70+独立节点贡献了模型更新，最低要求是8块 NVIDA B200。下一轮训练将允许混合硬件，miner的门槛会大大降低。参考：
https://t.co/SO7mzJOeHw

[0xai @0xai_dev]

https://t.co/i0BCFqZN17

[templar @tplr_ai]

One of the sharpest independent analyses of Covenant-72B we've seen. The author identifies what they call a "cognitive arbitrage window": crypto investors see "another open-source model" and shrug, while AI researchers who understand the benchmarks don't follow crypto. That gap produced a 2-day price lag after the announcement before the market caught up.

The piece is thorough on the technical details (SparseLoCo compression, the honest benchmark gap to Qwen2.5/LLaMA-3.1, why the trajectory matters more than any single number) and places Covenant-72B in the full history of decentralized training from GPT-JT to INTELLECT-1. Google Translate handles it well if you don't read Chinese.

[Jasmine @jasminervaa]

Congrats to portfolio @flock_io and stake your $flock with us @0xai_dev

[0xai @0xai_dev]

See you later🥳

https://t.co/9f8KNRj2zX

[Jasmine @jasminervaa]

来啦 😀

周六晚上 邀请了各位好友一起聊聊 @virtuals_io

@xingpt @broleon @qiqileyuan @YeruiZhang

[0xai @0xai_dev]

📚 想看完整分析？

我们刚刚发布了一篇详细指南 👇

《如何把握Virtual Genesis Launch中下一个百倍机会》

🔗 https://t.co/C63opoVSCQ

[0xai @0xai_dev]

想要抢先参与下一个 100x 的 AI 项目？

👇 这是一份超简明指南，教你如何参与 @virtuals_io的 Genesis Launch，以及为什么你不该错过正在发射的 @RoboStack_io

🧵

[0xai @0xai_dev]

⏳ RoboStack 的 Genesis 发射已开启：

👉 https://t.co/Rh7UlRfQp4

🪙 每人最多可拿 0.5% 项目代币

🔥 37.5% 总量分配给抵押积分的用户

别错过参与$Robot的最佳机会