babelbit.ai

Most LLMs predict the next word. Babelbit predicts complete phrases based on meaning and context. 'I pledge allegiance to the...' - we already know where this is going. This changes everything. Instead of waiting for you to finish speaking, then translating word by word, we're already translating the complete thought while you're still mid-sentence. Phrase-level prediction. The breakthrough that makes real-time interpretation possible.

Self-corrections happen constantly in real conversation. Human interpreters instantly recognise this pattern. They process the full context, catch the correction, and output only the final version. Clean. Professional. No confusion. Machine translators can't do this. They output both versions word-for-word, creating ambiguity and potential miscommunication. Babelbit is different. Our speech-mode LLMs understand context well enough to recognise self-corrections in real time and deliver the corrected output only - just like a human interpreter would. This isn't faster translation. It's actual interpretation.

More on Mica: uk.linkedin.com/in/mica-menard

From studying how humans process language to building machines that do it in real time. Mica Ménard went from e-commerce NLP to energy prediction algorithms to professional Bittensor mining - then brought all three skill sets to Babelbit. This is what cross-domain expertise looks like.

Thanks to @taotimesdotai for the feature. Our founder @matthew_karas wrote about why Babelbit's token held strong during the 2026 crypto crash - while Bitcoin dropped 40%. The short version: Bittensor works like a decentralized stock market for AI. Subnet tokens track execution, not speculation: x.com/babelbit/statu…

Me too! 100% One of our core company principles at Babelbit.ai is that whenever we are procuring any service, we first try to get it from a subnet. Even when it doesn't work out, it helps the supplier refine their proposition. Further - where there is no supplier, I add it to my backlog of subnet ideas: Apologies if someone is already doing these... Could we have subnets for: - outsourced sales e.g. for commercially inexperienced subnet owners and startup founders - a decentralised equivalent of AWS marketplace to aggregate self-serve subnet services - subnet-based loans - I've used Debifi once or twice, and it would be great to see a subnet doing something similar

Most translation systems were built before LLMs existed. They chain speech-to-text → translation → paraphrasing → text-to-speech. Four separate models. Four separate delays. We are doing everything in a single shot. Babelbit uses a multilingual speech-mode LLM trained to behave like an interpreter. No conversion to text. No separate paraphrasing step. The model generates output in one shot - predicting ahead, removing expletives, adjusting tone - all simultaneously. Just like knowing not to swear in front of your grandma. The contextual intelligence is built in. Translation at the speed of thought.

Thanks for including us!

The ONLY way to find gems is truly diligencing where real economic value is being built in $TAO we have one of the most compelling ecosystems that many don't seem to understand Key to growth has been Bittensor's incentive engine, enabling below projects to tap into reward currency and create open source alternatives to take on large, profitable incumbent tech TAMs. some $TAO subnets of note - SN105 @b1m_ai at $1.4mm MC: announced today by @YumaGroup. Decentralised bandwidth marketplace, putting unused global bandwidth to work for AI data transfer - SN54 @yanez__ai at $6mm MC: Synthetic identity generation for KYC/AML stress testing for fin institutions. $900k+ raised already, also accelerated by Yuma. Rare subnet w/ use-case to go after US-listed whale customers - SN71 @leadpoetAI at $6.1mm MC: decentralised AI sales intelligence starting with lead gen; led by ex-NASDAQ cofounding team, $750K raised, reporting $1M ARR run rate - SN68 @metanova_labs at $11M MC: AI-powered drug discovery which leverages competitive miners to screen MILLIONS of molecules for new drug candidates; building the machine for drug discovery via incentivised competition - SN44 @webuildscore at $24mm MC: AI-powered computer vision, one of the most commercially adopted subnets we track (many multi national use cases across sports / petrol networks / food packaging) . Astrid Intelligence (AQSE: ASTR) publicly expanded its position to ~3,180 TAO and became a Bittensor validator. Another Yuma Portco. - SN34 @BitMindAI at $11mm MC: Deepfake detection engine w/ consumer app on iOS + Android; incentives leveraged in adversarial architecture where (i) miners generate fakes and (ii) validators try to detect the fakes; the subnet literally trains against itself - SN59 @babelbit at $4.33mm MC: Real-time translation product, public API launching Q1, targeting French-English first. CEO Matt Karas, 25+ years in speech tech, built BBC News Online and co-founded ITV Player. For more crypto AI market coverage, follow @0xSammy and our team at @KhalaResearch

@iSolCryptoo @const_reborn We're always as transparent as we can be, subject to the limitations of confidential agreements. So happy to chat obviously this involves others... This month is insanely busy as we move towards putting our live speech translation prototypes onto the subnet.

@babelbit @const_reborn Impressive update from your side. Open to a quick discussion.

We built Babelbit using @AffineSN120 architecture - simplified by Score, extended by our team. When @const_reborn saw what we’d built, we compared subnet designs and he connected us to the Affine team. This is the Bittensor ecosystem: even competing subnets share code. Better subnets → higher TAO price → everyone wins.

Tagging the correct account here → @affine_io

Human interpreters have been doing it for centuries: communicating what you MEANT, not just what you SAID. They fill in gaps, remove mistakes, adapt for context. Babelbit is the first machine that can do the same. Sub-3-second latency. Launches Q1 2026.

Meet Josh Greifer, Babelbit's Chief Scientist. He wrote the code for Steinberg Cubase - the DAW used in studios worldwide. Spent decades solving latency problems in audio. Then in August 2024, he cracked it: 50ms latency for speech transformation. Potentially 25ms. That breakthrough is why Babelbit exists.

@tom_tensor heard one 30-minute talk about Bittensor in April 2024. 24 hours later, he'd parked his life plans and become an investor. By October, he'd co-founded Babelbit. Sometimes you find the project. Sometimes the project finds you. Meet our COO.

Earlier this week, @EvanMalanga spoke with @0xSammy and @haitzu on the @supercyclepod about the rapid innovation happening on Yuma-accelerated @babelbit (SN59) ↓