The Tether AI research department QVAC has released the Genesis II dataset, expanding the Token scale to 148 billion.

NullWhisperer · 2025-12-22T14:40:20+00:00

[Chain News] QVAC, the artificial intelligence research arm of Tether, has just launched the Genesis II version. In simple terms, this means that the world's largest publicly available AI pre-trained synthetic educational dataset has been expanded.The numbers are impressive: an additional 107 billion tokens have been added, bringing the total number of tokens in the QVAC Genesis dataset to 148 billion. The educational fields covered have also increased from 19.What are the highlights of this update? The new version has expanded its scope to include 10 new fields - chemistry, computer science, statistics, machine learning, astronomy, geography, econometrics, and electrical engineering. Additionally, university-level physics data has been regenerated using improved methods.In simple terms, it means that the data scale has increased, the coverage areas are broader, and the training quality has also improved. This still has a promoting effect on the development of the open AI ecosystem.

NullWhisperer

2025-12-22 14:40:20

[Chain Article] QVAC, the artificial intelligence research division under Tether, has just launched the Genesis II version. In simple terms, this is the world's largest publicly available AI pre-training synthetic educational dataset, which has been expanded.

The numbers are impressive: an additional 107 billion tokens have been added, bringing the total number of tokens in the QVAC Genesis dataset to 148 billion. The covered education sectors have also increased from 19.

What are the highlights of this update? The new version expands the scope to 10 new fields - chemistry, computer science, statistics, machine learning, astronomy, geography, econometrics, and electrical engineering have all been added. Additionally, university-level physics data has been regenerated using improved methods.

In simple terms, it means that the scale of data has increased, the coverage of fields is broader, and the quality of training has also improved. This still has a positive impact on the development of the open AI ecosystem.

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MoneyBurnerSociety

· 2025-12-24 13:11

148 billion tokens? My stop-loss line for this arbitrage order isn't even that big. It's another AI dataset and expansion. Is Tether trying to use knowledge to crush our losses? Chemistry, physics, statistics... Oh my goodness, now even textbooks are going to compete with us. By the way, is this thing really open, or can only big players use it? Honestly, as the data volume grows, the quality must keep up, or it’s just a luxurious garbage dump. Astronomy is included too. Why do I feel like I’ve been forgotten from the universe? Genesis is back again. I don’t have Genesis in my wallet, just an apocalypse. 107 billion new tokens. I’m still struggling over a gas fee for 0.01 tokens.

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SeasonedInvestor

· 2025-12-22 15:10

148 billion Tokens? Tether seems to want to make the AI training database an industry benchmark, but this scale is indeed a bit outrageous. It's interesting, expanding from 19 fields to more, it looks like they are genuinely building ecological infrastructure. I have to say, QVAC's approach is quite clever; exchanging data for influence is much more reliable than directly throwing money at Tokens. With Gen II like this, it seems like the open AI track is about to catch fire. With 107 billion Tokens added, at this data growth speed, how much Computing Power is needed to pile it up? To be honest, the endgame of QVAC's chess move is still not clear, but it at least proves that Tether is not just about stablecoins. The quality of this dataset hasn’t been seen in independent evaluations yet; whether it can really be used is another matter. Goodness, even niche fields like chemistry and econometrics are included; they are indeed putting in some effort.

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NFTRegretter

· 2025-12-22 15:08

148 billion Tokens? Tether is just playing digital games with us, how many can actually be used? Tether is up to something again, this time changing its disguise to tell an AI story, but the trick is still the same. Data expansion is good, but the question is who will really use these educational datasets? Adding 10 new fields sounds impressive, but I wonder about the quality; it feels like a new way to Be Played for Suckers. Saying 107 billion Tokens is easy, but making it happen is the real skill, which is Tether's consistent style. Genesis II? It feels like just extending the life of an old project. Open AI ecosystem? When has Tether ever been open? It cracks me up. It's Tether again, and it's about datasets; I've seen this combination too many times.

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GasFeeTherapist

· 2025-12-22 15:08

148 billion Tokens, is this number real or just bull? It's a bit outrageous. Tether is at it again, but this time it seems more reliable. Genesis II is good, but whether it can really be used is the key. Chemistry, statistics, and machine learning have all been included, which indeed covers a wide range. With such a large dataset, can the quality be guaranteed? I'm a bit worried. The open AI ecosystem really needs this kind of underlying support. 107 billion new Tokens, Tether is quite active in the AI field. If this thing is really useful, it would be a boon for developers. But it still depends on who can truly make good use of this data.

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PancakeFlippa

· 2025-12-22 14:41

148 billion Tokens? This dataset is really incredible, Tether is making a big investment in AI. --- Genesis II directly expands into 10 new fields, it feels like the ceiling for AI training has been broken again. --- But to be honest, a large amount of data is great, but quality is king. --- It's Tether and QVAC again, this combo seems to want to get a piece of the pie in open AI. --- 107 billion new Tokens, this level of investment is truly commendable, but unfortunately, we ordinary users still can't enjoy these benefits. --- Covering fields like chemistry and machine learning, this update has indeed broadened its scope significantly. --- Data scale has doubled, and quality has also upgraded, this is the attitude we should have in AI development. --- By the way, if this gets released as Open Source, the entire Web3 development community will be so excited.

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