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\"Babelbit

1: Our Ambition: An Interpreter's Job Cannot be Performed by Translation Software In one sense, Babelbit is a Bittensor subnet developing low-latency predictive translation. However, the goal of our product is to behave like a **human interpreter**, which is a significantly different job from translation. 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"tweet_id": "2049510437042217367", "handle": "babelbit", "text": "There\u2019s no benchmark for what we\u2019re building.\nSo we\u2019re creating one.\n\nWe are working on precise benchmarking so that we can show the gains we are making over Google Translate and other translation systems.\n\nMost translation systems optimise for literal accuracy.\n\nThey measure latency as delay between \u201cequivalent words.\u201d\n\nThat misses the point.\n\nWe measure something else \u2192 time from expression to understanding\nNot when the words arrive.\nWhen the meaning lands.\n\nFor example:\n\ud83e\udd50In French: 'Je pense que vous avez tout \u00e0 fait raison.'\n\ud83c\udf0dGoogle says: 'I think you\u2019re absolutely right.'\n\ud83d\ude80Babelbit says: 'Agreed.'\n\nBabelbit wins out because average word delay is a broken benchmark.\nBecause interpretation \u2260 translation.\n\nWe\u2019re building a benchmark that reflects how humans actually communicate. Stay tuned \ud83d\udc40", "created_at": "2026-04-29T12:25:40-03:00", "likes": 37, "retweets": 11, "replies": 2, "views": 1647, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2049084678255329749", "handle": "babelbit", "text": "Introducing our live translation demo:\n\nFor decades, researchers have tried to automate simultaneous interpretation. Even after WaveNet and the deep learning breakthroughs of the late 2010s, it remained out of reach. The reason is architectural: every system chains speech-to-text \u2192 translation \u2192 text-to-speech sequentially. Each stage adds latency - and even with best-of-breed models at every step, the result still cannot do what every professional interpreter does as a matter of course.\n\nA human interpreter does not merely translate accurately. They paraphrase for brevity, remove repetition, filter expletives, clarify ambiguity, and apply cultural sensitivity - integrating all of this in a single cognitive act, in real time.\n\nThis video demonstrates where we are \ud83d\udc47\n\n0:13 - We set 11Labs' state-of-the-art system running on 17 seconds of a simple French lesson and show Babelbit translating the same clip live, while we wait for 11Labs to finish.\n\n1:03 - Babelbit output, under 2 seconds latency: \"Today we are in Strasbourg. A very nice city in the northeast of France.\"\n\n1:49 - 11Labs finishes. Their output: \"Today, we are currently situated in Strasburg. It is a very beautiful city located in the northeastern region of France.\"\n\nBoth are accurate. Only one is interpretation.\n\n2:19 - We explain why the difference matters: verbosity accumulates. In live speech, a system that translates every word eventually falls behind the speaker. Paraphrasing is not a stylistic choice - it is what keeps the listener tracking.\n\n5:31 - We show the current limit. On a live address by President Macron, accuracy degrades while latency holds. This is the open research problem - and the basis of our competition.\n\n6:44 -The competition: improve accuracy without sacrificing latency. A compulsory accuracy threshold applies; entries are ranked by latency. Prediction-based techniques are encouraged.", "created_at": "2026-04-28T08:13:52-03:00", "likes": 67, "retweets": 15, "replies": 7, "views": 5058, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2047382515401523361", "handle": "babelbit", "text": "April 23, 1564: Shakespeare understood that meaning lives in complete thoughts, not individual words.\n\n462 years later, we're teaching machines the same thing.\n\nPhrase-level prediction. Real-time interpretation. https://t.co/jYdYiYK7sD", "created_at": "2026-04-23T15:30:04-03:00", "likes": 27, "retweets": 2, "replies": 3, "views": 727, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2046601051605024854", "handle": "babelbit", "text": "1,000 followers \u2611\ufe0f\n1,000 early believers in machine interpretation.\n1,000 people who understand the power of phrase-level prediction.\n\nThanks for being here. Q2 2026 \ud83d\ude80 https://t.co/ErrdjHAlZH", "created_at": "2026-04-21T11:44:49-03:00", "likes": 43, "retweets": 2, "replies": 5, "views": 965, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2044086524757614667", "handle": "babelbit", "text": "New demo: Watch interpretation skills in action.\n\nOur demo shows the skills we're training models to master:\n\u2713 Compress rambling into clarity\n\u2713 Remove accidental repetition\n\u2713 Filter expletives while preserving meaning\n\nThis is the target. Miners on SN59 compete to build models that can do this - in real time, across languages. The capabilities that turn translation into interpretation.", "created_at": "2026-04-14T13:12:59-03:00", "likes": 44, "retweets": 13, "replies": 7, "views": 2377, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2043765219181129832", "handle": "babelbit", "text": "RT @bittingthembits: \ud83d\udea8 The most impressive $TAO subnet founder story Babelbit SN59 @babelbit isn't a crypto project that discovered AI. It'\u2026", "created_at": "2026-04-13T15:56:14-03:00", "likes": 133, "retweets": 27, "replies": 4, "views": 12308, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2043628580224082147", "handle": "babelbit", "text": "Update: The Arena is now live\u26a1\n\nWe\u2019ve moved to 80% Arena emissions \ud83c\udfdf\ufe0f\n\nFrom now:\n\u2192 Verified performance will drive the majority of rewards\n\u2192 Top submissions are deployed + tested before payouts\n\nThis is the shift from scoring models \u2192 proving them\nAnd the first step toward turning contributions into the Babelbit interpreter \ud83c\udf0d", "created_at": "2026-04-13T06:53:16-03:00", "likes": 52, "retweets": 6, "replies": 3, "views": 3027, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2042620317353546068", "handle": "babelbit", "text": "Our take on last night's events from founder @matthew_karas \ud83d\udc47\n__________________\n\nWhen I got up this morning, the Bittensor community was in a frenzy. I have not had time to dig deeply into all of it yet, but I can see why it\u2019s rattling people.\n\nWhat it reinforces, however, is that the primary way to prevent power concentrating through capital, even in a decentralised system, is to keep creating useful things and bring more people in.\n\nIf Bittensor continues to attract strong contributors, it will get stronger. Over time, events like this matter less. If the behaviour of one insider can move things this much, it is a reminder of how early the network still is.\n\nFor us, Bittensor is already enabling something quite unusual. We are training models at a level of scale and complexity that would normally require big tech resources, without needing more than a six-figure runway. That also gives us enough protection to operate without putting the whole team at risk.\n\nThe network is funding real work. It is paying the bills, and it is attracting engineers of the kind you would normally find at places like DeepMind or Anthropic.\n_________________\n\nThank you to this community for their continued support of what we're doing at Babelbit.\n\nKeep building \u26cf\ufe0f", "created_at": "2026-04-10T12:06:48-03:00", "likes": 62, "retweets": 13, "replies": 3, "views": 1930, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2042189826632437920", "handle": "babelbit", "text": "Appreciate being featured alongside some incredible builders \ud83d\udd25", "created_at": "2026-04-09T07:36:11-03:00", "likes": 18, "retweets": 2, "replies": 2, "views": 982, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2041958529041588680", "handle": "babelbit", "text": "Natural speech is messy - we repeat for emphasis, we stammer, we use filler words.\n\nProfessional interpreters don't output the mess. They output the meaning.\n\nBabelbit does the same. You speak naturally. Your audience hears professionally.\n\nDemo coming soon... stay tuned \ud83d\udd25 https://t.co/PPwaKyWMIR", "created_at": "2026-04-08T16:17:05-03:00", "likes": 31, "retweets": 3, "replies": 1, "views": 1611, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2039713813105439098", "handle": "babelbit", "text": "Babelbit Incentive Mechanism Update \u2699\ufe0f\n\nWe\u2019ve started rolling out the new two-round system:\n\n\ud83c\udfaf 1. Qualifying \u2192 open evaluation\n\ud83c\udfdf\ufe0f 2. The Arena \u2192 verified performance\n\nRight now, we\u2019re:\n- Integrating submissions into our system\n- Testing end-to-end flows\n- Preparing for verified evaluation\n\n\ud83d\udce6 The new repo is out. Submissions can now flow into the infrastructure that will power The Arena \ud83c\udfdf\ufe0f\n\n\u26a0\ufe0f The Arena isn\u2019t live yet - this is groundwork.\n\nNEXT WEEK: \u26a1\nThe Arena goes live\n\u2192 Rewards shift to 20% Qualifying / 80% Arena\n\u2192 Verified performance begins driving outcomes", "created_at": "2026-04-02T11:37:23-03:00", "likes": 30, "retweets": 6, "replies": 3, "views": 3811, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2039646495410905149", "handle": "babelbit", "text": "@krakensupport \n- BUSINESS ACCOUNT WITHDRAWAL BLOCKED\n- PAYROLL AT RISK.\n- NO EXPLANATION FROM SUPPORT\n- TICKET #20852057\n\nAs a business dependent on efficient cryptocurrency transfers, it is extremely disappointing that the most important transaction of the month (paying our staff) is being help up bt Kraken with:\n- NO EXPLANATION\n- NO CONTACT BY PHONE\n- REPETITIVE EMAILS AND TEXT CHAT WHICH DOES NOT GET CLOSER TO RESOLUTION", "created_at": "2026-04-02T07:09:53-03:00", "likes": 17, "retweets": 0, "replies": 2, "views": 974, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036825775907688701", "handle": "babelbit", "text": "Mike Lynch founded Autonomy in 1996 - pioneering statistical approaches to language understanding.\n\nOur founder @matthew_karas (BBC News Online, speech tech veteran) saw how to apply it.\n\n1996-2024: 28 years of collaboration on speech and language technology.\n\nOne final breakthrough. One week before tragedy.\n\nThe Babelbit origin story\ud83d\udc47", "created_at": "2026-03-25T12:21:22-03:00", "likes": 23, "retweets": 4, "replies": 1, "views": 1025, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036824717500338429", "handle": "babelbit", "text": "https://t.co/nlu3UKiWRh", "created_at": "2026-03-25T12:17:09-03:00", "likes": 45, "retweets": 7, "replies": 7, "views": 12385, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036495738192953738", "handle": "babelbit", "text": "RT @gordonfrayne: I continue to be impressed by the quality of Subnet founders in the Bittensor ecosystem, and @matthew_karas is no excepti\u2026", "created_at": "2026-03-24T14:29:54-03:00", "likes": 37, "retweets": 5, "replies": 2, "views": 3391, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036486572900753678", "handle": "babelbit", "text": "Word-for-word translation has a fatal flaw: it repeats every error, every mishearing, every confusion.\n\nProfessional interpreters don't. They understand context and deliver what was meant.\n\nNow machines can too. Context-correcting interpretation in under 3 seconds. https://t.co/jY3L6b1Bcd", "created_at": "2026-03-24T13:53:29-03:00", "likes": 18, "retweets": 4, "replies": 3, "views": 787, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036105548802707835", "handle": "babelbit", "text": "RT @tennismandu22: @babelbit (SN59) is hitting an inflection point.\n\n\u2022 v2 infra deployed\n\u2022 new incentive mechanism live\n\u2022 public repo immi\u2026", "created_at": "2026-03-23T12:39:26-03:00", "likes": 13, "retweets": 2, "replies": 0, "views": 626, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036074561716756916", "handle": "babelbit", "text": "Tune in today as our founder @matthew_karas discusses the architecture of Babelbit, how it's going to transform translation, and some very exciting updates coming soon...", "created_at": "2026-03-23T10:36:18-03:00", "likes": 20, "retweets": 2, "replies": 0, "views": 873, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2034672848720244876", "handle": "babelbit", "text": "Most LLMs predict the next word. Babelbit predicts complete phrases based on meaning and context.\n\n'I pledge allegiance to the...' - we already know where this is going.\n\nThis 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.\n\nPhrase-level prediction. The breakthrough that makes real-time interpretation possible.", "created_at": "2026-03-19T13:46:24-03:00", "likes": 29, "retweets": 4, "replies": 2, "views": 1092, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2034302904165917018", "handle": "babelbit", "text": "Self-corrections happen constantly in real conversation.\nHuman interpreters instantly recognise this pattern. They process the full context, catch the correction, and output only the final version. Clean. Professional. No confusion.\n\nMachine translators can't do this. They output both versions word-for-word, creating ambiguity and potential miscommunication.\n\nBabelbit 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.\n\nThis isn't faster translation. It's actual interpretation.", "created_at": "2026-03-18T13:16:22-03:00", "likes": 33, "retweets": 4, "replies": 3, "views": 1468, "is_retweet": false, "is_reply": false, "media_type": null } ] }