The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

Conviction 💥 From day 1 building on Bittensor has been a privilege. Core team conviction lockups from @tom_tensor and @mogmachine - Bullish on @babelbit 🚀A big shout out to all of our supporters for your belief so far 🙏 Much much more to come 🫡 s3.hippius.com/rufus/public/…

In just our first month......... buyback completed. Green Compute SN110 has now completed an $8,200 USD buyback (37 TAO). We believe this could be the biggest Month 1 buyback ever and it’s only the beginning. Transparency matters, so the buyback wallet is public: 5D2UXtzXhP2YCgreodgrGMs2niVZWv2Xt7cxJwYWioU6hdTH More to come.

Pay attention to @babelbit one of the most undervalued subnets within bittensor:native. I will revisit this post in next week.

A really good demo highlighting the quality and speed of Bittensor $TAO subnet 59 - Babelbit interpretation compared to Google Translate. The gulf in time savings (and therefor end user experience) is quite staggering

Hash Rate - Ep. 169: Babelbit - Subnet 59 🧙 Guest: @matthew_karas of @babelbit The Star Trek 'Universal Translator' is here 03:02 Real-Time Speech Translation Technology 08:55 Applications 12:03 Why Subnet? 17:51 Training Models 37:30 Low Latency Interpretation and Paraphrasing 40:40 Product Development and Market Strategy 44:45 LIVE DEMO (this is AMAZING) 50:40 Website Launch 01:00:12 Future Directions and Ecosystem Growth

What the hell just happened while Trump was walking with Xi in China?

For the longest time I didn’t understand $TAO sn 59 @babelbit , but when I did I went in hard. @babelbit latency is only 2 sec vs 6 sec for @Google translate, and it predicts next words with higher accuracy. And now @babelbit is working to be featured at AWS Marketplace. This giant is waking up

#Biττensor >> ∆ τ << #τₐcc > $TAO < Subnet 59: Babelbit @babelbit @matthew_karas @tom_tensor ➡️ babelbit.ai SN59 is starting to look seriously underestimated. A few months ago, BabelBit kept talking about latency while most people were focused solely on raw translation accuracy. They weren’t bluffing. We’re now beginning to see what they were actually building. This is no longer just about translating correctly. It’s about translating fast enough for it to feel natural in a live conversation. While big tech continues to struggle with delay, SN59 is moving toward ultra-low-latency speech translation designed for a world of live AI agents, streaming, multilingual communication, and real-time interaction. Milliseconds matter. Another thing that stands out to me is the team itself. A fully doxxed team made up of experienced people who have been building real speech technologies and commercial products for decades, not anonymous hype sellers chasing emissions. This project feels massively undervalued relative to the problem it is trying to solve. I’ll be reopening a position after this message. What if BabelBit becomes the first subnet to truly reach the mainstream? @YumaGroup @BarrySilbert

📢 @babelbit #SN59 is one of the most compelling ideas I’ve seen in the ecosystem lately: it reframes translation from “how fast can we output a literal sentence?” to “how early can we deliver enough meaning for a real conversation to continue?” That shift sounds subtle, but it is actually the entire game. The recent whitepaper makes a strong case that real-time translation is not a text problem first... it is a human interaction problem. In live speech, the best interpreter is not the one that waits for every last word. It is the one that can predict intent, compress filler, preserve tone, and speak the right thing at the right time. Babelbit is trying to teach machines to do exactly that. What makes this especially bullish is the structure. Babelbit is not just building a model, it is building a market for improving translation behavior. By using Bittensor, it can reward miners for the things that actually matter in production: early adequacy, lower latency, better paraphrasing, safer output, domain adaptation, and multilingual expansion. That creates a decentralised R&D engine that compounds over time instead of a one-shot product release. The vision is bigger than “better MT.” Babelbit is aiming at a new category: a human-centred communication layer for multilingual conversation. That means speech-to-speech translation that can be useful in meetings, enterprise settings, medical contexts, legal workflows and cross-border coordination. These are all places where waiting for a perfect literal translation is often too slow to be useful. The roadmap is also smart. Phase 1 proves utterance completion. Phase 2 moves into real-time French-to-English speech translation. Later phases extend into new languages, paraphrasing, politeness, safety and vertical-specific performance. That progression suggests a network that can evolve from research benchmark to infrastructure primitive. Why this matters for Bittensor: Babelbit fits the subnet model perfectly. The problem is measurable, open-ended, iterative and benefits from many competing contributors. That is exactly where decentralized incentives can outperform a single closed team. If the subnet works as intended, it could become a foundational layer for low-latency multilingual communication. My bullish take: Babelbit is not chasing incremental translation quality. It is attacking the real bottleneck in live conversation .....the moment a system knows enough to speak. If they execute, this could be one of the more important subnet narratives in AI infrastructure. Babelbit is not building a translator. It is building the future interface for multilingual human conversation.

For those of you interested in undervalued Bittensor $TAO subnets, this was a post today in Telegram from the founder of @babelbit SN59. Make of it what you will for yourself, but when you take into consideration the team level of experience, their business planning and the current price, do you see a misalignment? Everyone is always looking for opportunities in dTAO, and IMO this is one of the best RR out there (yes i have a bag for transparency). -------------------------------------- "........ for anyone who is interested in the business side of this space: I have been involved in several speech tech companies and built a couple of them to a successful exits. I think that my various patents ended up being owned by HP and some Chinese tech companies. My first speech venture exited with a sale to Autonomy, and was the tech behind Blinkx and other products. I managed a global operation with some direct corporate sales, and a reseller network with some pretty big players (Logica etc). Actually that's how I got to know Nigel Grant from SN44 Score. At that time, he was running our most successful EMEA reseller. We also worked together a few years later. I was working for Coller Capital as CTO, but also managing a spin-off seed fund, which invested in a network technology business which Nigel founded. It's an interesting point that very few Bittensor subnets have founders have managed global sales operations, through growth or delivered actual value to shareholders. Interestingly, the end-to-end value trajectory of subnets has not had time to evolve any orthodoxies, in the way the venture capital has. So we are all making it up as we go. So staying close to Const and others is really important. However, the core skills are the same, especially having experience of the parallel objectives involved. I have decades of experience in devising strategies to simultaneously: - maximise end-user utility in a global market - while delivering value for investors Technologically, I have always taken the latest advances and stretched their application into novem use cases, from using NLP in the news industry to stretching the capabilities of ASR to score pronunciation of language learners. Babelbit is filling a gap, doing something which has literally only become possible since the advent of multi-modal transformer networks, and prior to any miner-based training, we have two models which are ahead of SOTA, converging - actually collapsing - NLP tasks and audio processing tasks into a single model, for miners to work on. Inspired by and taking advice from the other networks we know personally, who are ahead of us in their development, with clear commercial objectives and experienced founders (like SN44 Score, SN75 Hippius, SN62 Ridges and others), the next phase of our plan is for miners to run with them and start driving performance improvements week on week. It's an exciting time for us, and we have attracted significant investment, but I can also see that some investors are attracted by revenue-positive businesses, so as we establish a sustainable commercial operation in the coming months, we will probably attract a different profile of stakeholders. As a team, we have just agreed on a product-release specification, and I am reigniting my contacts who are involved in building internal comms systems for multi-national corporations, and identifying some early adopters. "