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Babelbit⭐️SN59⭐️Bittensor⭐️FinTech Veteran⭐️Tech Investor⭐️Property Developer⭐️
Hash Rate - Ep 150: Babelbit Subnet 59 🧙♂️Guest: @matthew_karas of @babelbit Realtime Language Translation 00:00 Introduction 02:50 The Evolution of Translation Technology 08:59 Real-Time Translation 12:07 Predictive Translation 14:58 Building a Subnet: The Mechanics of…
Bittensor has passed its first halvening! 🎉🪅🍾
Bittensor $TAO SN59 Babelit, Spotlight on the strong team behind this project, still under the radar for much of the community ➡️@babelbit ➡️babelbit.ai Consider this tweet a signal. I invite you to (re)discover the article published on October 9, 2025,…
Bon weekend - and end of another great week. First priority is that we have been building a centralised DB for all the validators' logs, which will enable us to monitor consensus more closely and identify the reasons for any divergence. In parallel we have been preparing the…
Last week was a crazily busy week, focusing on multiple collaborations within the Bittensor community. Firstly - special thanks to Jacob @const_reborn for reaching out to us. It is great to find ourselves collaborating with the team at Affine, as we both work towards the next…
Excellent week at Babelbit SN59. We are developing a new challenge. There is no point in making the best possible predictions without knowing which ones are good. So every prediction needs an associated confidence quotient. This is not a trivial calculation and the best way to…
Babelbit (59): Miners train text-to-speech models, post to Huggingface, and validators sample them on Targon serverless. Winner-takes-all (or pareto optimal score) across a set of performance scores 1) TTS speed, 2) Accuracy and 3) Tone -- basically attacking Eleven Labs on core…
Quick update on Subnet 33 and the new TAO flow dynamics in Bittensor TAO emissions for SN33 dipped recently as the new flow-based model went live. With TAO flow now driving emissions, short-term volatility is expected: flows move out → emissions drop; flows move back in →…
I just read about an exciting translation project [arxiv.org/abs/2409.19510] using synthetic speech to make up for the data shortfall for languages other than English. I did the same thing 12 years ago, building an ASR-based search for BBC Wales: babelbit.ai/welsh-asr-retr…
![babelbit's tweet image. I just read about an exciting translation project [arxiv.org/abs/2409.19510] using synthetic speech to make up for the data shortfall for languages other than English. I did the same thing 12 years ago, building an ASR-based search for BBC Wales:
babelbit.ai/welsh-asr-retr…](https://pbs.twimg.com/media/G6IfW9KWAAAsRG7.jpg)
Youtube: youtu.be/O4VtTy4Arsk?si… Spotify: open.spotify.com/episode/3gV8Ct…
🚀 New Babelbit Website Shipped!** 🌐🗣️✨ Be sure to check out our latest news from the world of Subnet 59 for all matters linguistic related - babelbit.ai Genesis version includes team information and more importantly the latest outstanding iterations and…
Ventura Labs Ep. 68 – Matthew Karas Matthew (@matthew_karas), Founder of Babelbit (@babelbit) Timestamps 01:27 — Introduction 2:09 — Origin of Babelbit Name 3:36 — Matthew's Background in Linguistics 6:05 — Early Career at BBC 8:31 — Noise Elimination Using GANs 10:46 —…
What's the quickest way you have found to explain Bittensor to newbies, outsiders, partners, spouses, children, the elderly, friends, investors, HMRC (or IRS) etc? The OTF "about page" is pretty thorough, but it is what Medium calls an "11-minute read". My usual elevator pitch…
Coming soon... (Monday 3rd Nov) Matthew was a guest on the Ventura Labs podcast this week. I'm not sure whether Grant will have got a word in. Hopefully this will be the first of many, and the rest of the team will get to have their say. This podcast focused on the origin…
Convince the alpha holders on Bittensor’s Subnet 25 Embryon you are worthy and you win the subnet itself along with $500,000 alpha on the owner key. Cost to compete? Zero. Are you Bittensor’s next unicorn?
SOTA projects in all aspects of speech and language are converging on Multi-Modal LLMs as a single tool for what used to be separate processes run in series: recognition, translation and synthesis. I thought it was an exaggeration, but the more we dig...
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