Top Tweets for #Sn59
Our latest article on how Babelbit's technology can be used in the real world.
This time it's the Australian policing system and the challenges it faces.
bittensor:native
A couple days ago, we announced a major breakthrough in our multilingual language model.
Today, we're excited to share the first product built on top of it.
Introducing the Babelbit Dubbing API.
A programmable real-time dubbing solution designed for broadcasters, media companies, voice agents, and developers looking to integrate multilingual communication into their own products.
Our architecture gives us the flexibility to optimize not just for translation quality, but for everything that makes conversations feel natural. From low latency to natural voices and gender adaptation.
We created a programmable framework that allows us to continuously improve and expand its capabilities.
This is the first product built on top of our Language Transformation infrastructure.
Many more will follow.

Today marks one of the biggest breakthroughs in Babelbit's journey so far.
We're excited to announce a major milestone in the development of our multilingual language model.
Until now, adding new languages meant building and optimizing individual language pairs.
With this breakthrough, we're moving toward a single multilingual foundation capable of supporting real-time Language Transformation across all supported languages.
It creates a shared foundation that future Babelbit products can continuously build upon.
For us, this is a major step toward our long-term vision as we strive to build the infrastructure for Language Transformation.


Thank you to Shizzy Unchained for having Babelbit co-founder @tom_tensor on the show.
The conversation covers Babelbit, $TAO SN59, real-time interpretation, latency, and why predicting meaning before a sentence is finished can fundamentally change how multilingual communication works.
Great discussion on what we're building and where Babelbit is heading next.
This AI Knows What You’re Going to Say Before You Say It | @babelbit w/ @tom_tensor https://t.co/zOXybGlFpJ
Babelbit VS Google
The voices you'll hear in the following clips are automatically translated from the same live German news broadcast.
One version uses Google's Translation API, the other uses Babelbit's SOTA Language API.
We'll let the results speak for themselves.
We're excited to announce that Japanese is now part of Babelbit's expansion.
French demonstrated what our incentive mechanism could achieve.
Spanish showed we could scale that success using the same breakthroughs across multiple languages.
Now we're bringing the same approach to Japanese as we continue building products for a global market.
$TAO

We're excited to announce that Japanese is now part of Babelbit's expansion.
French demonstrated what our incentive mechanism could achieve.
Spanish showed we could scale that success using the same breakthroughs across multiple languages.
Now we're bringing the same approach to Japanese as we continue building products for a global market.
$TAO

The Babelbit base miner has been updated!
Thanks to everyone that has participated and helped us collectively progress the boundaries of speech to speech interpretation.
There have been genuinely innovative ideas and solutions applied to your work - please keep up the efforts.
The more we move forward together, the deeper the Babelbit moat becomes, ultimately leading to wider business opportunities for the technology we’re creating together.
To date, we've paid out more than $400,000 for the innovations contributed so far.
Going forward expect more frequent base miner updates!
$TAO

$TAO Amazing things happening on @babelbit right now 🤯its the pace of innovation driven progress that is so astonishing #bittensor #sn59 #babelbit💪

$TAO Fun fact - for anyone reading this, if you’ve ever used BBC News Online or ITV Player, you’ve had the pleasure of experiencing a product delivered by @babelbit (you’re welcome btw 🤗) You get all sorts in #bittensor 🤷🏻♂️ #sn59 Proud to build on #bittensor 🫡
$TAO Amazing things happening on @babelbit right now 🤯its the pace of innovation driven progress that is so astonishing #bittensor #sn59 #babelbit💪

$TAO Can’t wait to get our tech working for folks 🤙🏻#sn59
https://t.co/TBKXBcGYfJ
The UK NHS currently spends around £75.5 million a year on translation and interpreting.
The spend represents just a tiny fraction of the booming global interpretation opportunity of $7.8b, where AI solutions like BabelBit can deliver major efficiency and scale.
This concept video gives context as to the problem that Doctors (and patients) experience on a daily basis, and how Babelbit’s technology can make a difference, not just on budget, but in saving lives.
For wider context read our full article.
bittensor:native
Bittensor Ecosystem Highlights :: June 29–July 5, 2026
[ @trishoolai - SN23 ]
Trishool’s HaloGuard 1.0 reached SOTA prompt-safety performance among open-weight guard models, with its 4B model ranking first across the evaluated benchmarks.
> https://t.co/Z9yrNA0Eui
[ @chutes_ai - SN64 ]
Chutes’ first in-house dFlash model is live, with Qwen3-32B delivering ~50% higher throughput at the same hardware cost.
> https://t.co/ON9m4LJ6Nv
Chutes also rebuilt its frontend from scratch, with a faster app, cleaner navigation, improved model search and reworked account tools.
> https://t.co/Op7nUkLKsP
[ @404gen_ - SN17 ]
404 introduced agentic mining on SN17, where agents generate 3D assets from specs, submit code and compete autonomously in the procedural asset competition.
> https://t.co/uLAL2q0WFR
[ @SynthdataCo - SN50 ]
Synth announced a profitable Q2, a $100K SN50 alpha buyback over 8 weeks, and a renewed focus on turning Synth’s ML forecasting research into live trading systems.
> https://t.co/8wjtxcCkc0
[ @ReadyAI_ - SN33 ]
ReadyAI reported 3x monthly revenue, approaching six-figure ARR, and is expanding SN33 toward specialized coding data for AI agents.
> https://t.co/e81x8HEgK6
[ @vidaio_ - SN85 ]
Vidaio launched its MCP, letting AI agents connect directly to its video compression tools without manual processing.
> https://t.co/KoR91WnWsb
[ @webuildscore - SN44 ]
Score said Satori 2B is improving fast and is preparing to scale toward a larger VLM on SN44, with a 72B model as the next ambition.
> https://t.co/1GwmJcvQZ8
[ @babelbit - SN59 ]
Babelbit announced its first reseller partnership with Line21 and a 24/7 Spanish-to-English voice dubbing prototype.
> https://t.co/EIjveduveK
[ @yanez__ai - SN54 ]
Yanez introduced a second incentive mechanism rewarding partners for verified Proof of Humanhood users.
> https://t.co/xyLqHWaUv9
[ @heydittoai - SN118 ]
Ditto launched private storage and inference, letting users connect Hippius storage and Good Morning inference API keys inside Ditto.
> https://t.co/v1daYKBtAV
[ @reliquary_ai - SN81 ]
Reliquary launched on SN81, turning RL post-training into a market where miners find learning-zone prompts and verified rollouts train the next checkpoint.
> https://t.co/I8i3LPayvL
[ @okx ]
OKX unveiled OKX AI with Opentensor Foundation support, and Bittensor subnet APIs are coming soon to bring subnet intelligence into its agent marketplace. OKX also listed $TAO.
> https://t.co/GUD5fSqpJk
> https://t.co/VCw3gsAMry
![opentensor's tweet photo. Bittensor Ecosystem Highlights :: June 29–July 5, 2026
[ @trishoolai - SN23 ]
Trishool’s HaloGuard 1.0 reached SOTA prompt-safety performance among open-weight guard models, with its 4B model ranking first across the evaluated benchmarks.
> https://t.co/Z9yrNA0Eui
[ @chutes_ai - SN64 ]
Chutes’ first in-house dFlash model is live, with Qwen3-32B delivering ~50% higher throughput at the same hardware cost.
> https://t.co/ON9m4LJ6Nv
Chutes also rebuilt its frontend from scratch, with a faster app, cleaner navigation, improved model search and reworked account tools.
> https://t.co/Op7nUkLKsP
[ @404gen_ - SN17 ]
404 introduced agentic mining on SN17, where agents generate 3D assets from specs, submit code and compete autonomously in the procedural asset competition.
> https://t.co/uLAL2q0WFR
[ @SynthdataCo - SN50 ]
Synth announced a profitable Q2, a $100K SN50 alpha buyback over 8 weeks, and a renewed focus on turning Synth’s ML forecasting research into live trading systems.
> https://t.co/8wjtxcCkc0
[ @ReadyAI_ - SN33 ]
ReadyAI reported 3x monthly revenue, approaching six-figure ARR, and is expanding SN33 toward specialized coding data for AI agents.
> https://t.co/e81x8HEgK6
[ @vidaio_ - SN85 ]
Vidaio launched its MCP, letting AI agents connect directly to its video compression tools without manual processing.
> https://t.co/KoR91WnWsb
[ @webuildscore - SN44 ]
Score said Satori 2B is improving fast and is preparing to scale toward a larger VLM on SN44, with a 72B model as the next ambition.
> https://t.co/1GwmJcvQZ8
[ @babelbit - SN59 ]
Babelbit announced its first reseller partnership with Line21 and a 24/7 Spanish-to-English voice dubbing prototype.
> https://t.co/EIjveduveK
[ @yanez__ai - SN54 ]
Yanez introduced a second incentive mechanism rewarding partners for verified Proof of Humanhood users.
> https://t.co/xyLqHWaUv9
[ @heydittoai - SN118 ]
Ditto launched private storage and inference, letting users connect Hippius storage and Good Morning inference API keys inside Ditto.
> https://t.co/v1daYKBtAV
[ @reliquary_ai - SN81 ]
Reliquary launched on SN81, turning RL post-training into a market where miners find learning-zone prompts and verified rollouts train the next checkpoint.
> https://t.co/I8i3LPayvL
[ @okx ]
OKX unveiled OKX AI with Opentensor Foundation support, and Bittensor subnet APIs are coming soon to bring subnet intelligence into its agent marketplace. OKX also listed $TAO.
> https://t.co/GUD5fSqpJk
> https://t.co/VCw3gsAMry](https://pbs.twimg.com/media/HMeD-bcXEAAGvly.jpg)
The global language interpretation market is exploding:
📈$11.7B in 2024 → $17.2B by 2029 (8% CAGR)
Breakdown by vertical (2025 estimates):
• Healthcare: ~$4.8B (largest, 34%)
• Legal & Judicial: ~$3B (21%)
• Government & Public Services: ~$2.1B (15%)
• Media & Entertainment: $1.0–1.2B (8-10%)
• Conferences/Events/Tourism: ~$1.3B (9%)
• Education & Tech: ~$1.7B (12%)
Video tools like Zoom/Teams/Meet and modern global content streaming are supercharging demand, which is a massive opportunity!
$TAO
💥 @babelbit #SN59 on $TAO is quietly building the universal translator in real time
Babelbit’s predictive ultra low latency speech to speech targets a $70B language market plus a massive AI expansion wave
Already in GTM and targeting integration into Zoom Meet and Teams
Sitting at a tiny $4.28M market cap
One of the most asymmetric bets across all Bittensor subnets right now
https://t.co/Z0i1cmNx1K
So let’s get this straight @babelbit #SN59 isn’t building translation. It’s building interpretation infrastructure.
Babelbit kills the legacy pipeline (speech → text → translate → speech) and replaces it with one-shot meaning transfer: speech in, interpreted speech out.
No filler. No “ums.” No literal garbage. Just clean intent. This is where Google stops and where Babelbit starts:
legal, medical, diplomatic, enterprise-grade communication.
Domain-aware models + speech-native transformers + trans-modal distillation = real moat.
4-person team. Decades of speech tech experience. Zero fluff. This isn’t a consumer app. This is global communication infrastructure.
SN59 is wildly underpriced for what it’s targeting on bittensor:native 🚀

Benchmarked against the best ⚡
☑️ Babelbit's interpretation latency is already lower than Google's interpreter mode
☑️ French to English in <2s
☑️ Predictive Semantic Modelling & Phrase Completion Latency still to come
Real-time speech to text is being built on Bittensor 🌐

💥@babelbit #SN59 just flexed on Google Translate 🤯
It’s not just about accuracy anymore, it’s about speed. While Big Tech lags, BabelBit delivers real-time translation with ultra-low latency.
In a world moving toward live AI agents, milliseconds matter. Subnet 59 isn’t competing… it’s redefining the game on bittensor:native . ⚡️
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