Co-founder & CTO @gensynai
Joined June 2021
- Tweets 1,437
- Following 1,158
- Followers 3,420
- Likes 3,493
34 Photos and videos
Pinned Tweet
May 11
code is law in crypto, and as a consequence there was >$700m of exploits in the last couple of months. much of these stemmed from under (or un)audited smart contract code - particularly in relation to off-chain systems (1/3)
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Harry Grieve retweeted
Jun 12
“Did you receive the $10 test transaction?”
“Yes”
“Ok sending the other $4.4B”
Jun 12
The largest USDC transfer in history.
~$4.4B sent to the Coinbase Hyperliquid deployer.
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Harry Grieve retweeted
Systems like this must exist. This is the way out.
The 8B model currently training on Agora is 350B tokens in and continuing to converge. The top level metrics and evals look almost exactly like a centralised run. But;
- 133 external contributors total bringing 4090's, 5090's, L40S/RTX 6000 and RTX 6000 Pros. These are cards that people actually own - there are no H100, B200's etc.
- The max number of nodes the system can support (104) was filled almost immediately. The authorization layer is receiving approximately 100 requests/minute to join.
- The total tokens/per second processed moves directly with amount of compute in the swarm, with Agora constantly optimising to make most efficient use of what hardware is present.
- MFU is approximately 20%, TPS is 170k tok/s. There are near constant communication failures which Agora is completely absorbing without slowdown.
- The system is effectively on auto-pilot, requiring very little intervention from us. Bad nodes are purged immediately before training is affected and new nodes take their place.
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Harry Grieve retweeted
the only way to achieve AI transparency is full public verification of the exact actions performed to generate the weights and to run subsequent inferences
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Harry Grieve retweeted
17h
Unlike many investors in crypto, I did not pivot to AI in the last few years. However, since 2020, I built some of the deepest understanding in this industry on the intersection of AI and decentralized networks (crypto, web3).
From the start, it was very clear that AI models are a centralizing force and the biggest target for government control. That point became market fact last night, with @AnthropicAI’s export control compliance.
As an investor in decentralized AI, I know that d-networks are a counterbalance to this state of affairs. In particular, the starting point of sovereign, open, public, decentralized AI is the seemingly insurmountable compute problem.
How are people supposed to source more industrial compute for frontier training than these huge trillion dollar companies? The answer is simple: there is enough commodity GPU compute in the world to compete on the frontier, but to make use of it we need new algorithms for training.
That’s what a few companies like @gensynai @PrimeIntellect @bageldotcom @Pluralis @NousResearch @MacrocosmosAI @covenant_ai set out to research, while everyone on the planet told them it was impossible.
The result is that it is not only possible, but it can be cheaper and nearly as efficient as the alternative process.
The second major problem is economic sustainability. Open source models are great, however, they are not economically viable as they don’t have a business model. So far in decentralized AI, only @Pluralis has an answer — by breaking up the weights of the model among participants, we create a business model for tokenized AI models.
This is the moment of truth — will AI become fully centralized and fall under censorship and unilateral government control? Or will the AI world realize the importance of public AI on open decentralized networks?
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Harry Grieve retweeted
20h
If it wasn’t yet clear, taking back sovereign control of AI means taking back sovereign control of training AI models.
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Harry Grieve retweeted
Jun 13
alright who’s putting mythos on a t-shirt then
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Harry Grieve retweeted
Jun 13
AI peeps, you can pivot back to crypto now. In fact, you might have to if you want to work on AGI.
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V E R I F Y
Jun 12
V E R I F Y
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Harry Grieve retweeted
Jun 12
V E R I F Y
Jun 12
YOU.
CAN'T.
TRUST.
AI.
SYSTEMS.
THAT.
YOU.
CAN'T.
█ █ █ █ █ █.
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Harry Grieve retweeted
Jun 12
No, you don't get it.
He does not have $1 trillion sitting in cash, it is 99% stock in his companies.
To make that wealth liquid would mean selling all that stock which would swiftly destroy *both* the companies (Tesla, SpaceX, others) and the wealth. If he sold it all, he'd end up with maybe $100b max, several hundred thousand people would be out of work, the companies ruined and many of their suppliers also ruined.
Okay, but now Elon has $100b in cash, and can "solve the world's problems".
$100b divided by the world's 8 billion people is $12
If you were in charge, several of the most innovative industrial companies in the world would be destroyed, hundreds of thousands out of work, and space would again close to human civilization for another generation.
But everyone on earth could have one nice meal and you could revel in your altruism.
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Harry Grieve retweeted
Jun 12
If you're reading a KPMG report on AI in the first place you're already cooked
Jun 12
FT Exclusive: A KPMG report on how AI is being used by businesses across the world exaggerated adoption of the technology with bogus case studies that appear to have been based on AI hallucinations. ft.trib.al/z44Q3aR
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Jun 12
YOU.
CAN'T.
TRUST.
AI.
SYSTEMS.
THAT.
YOU.
CAN'T.
█ █ █ █ █ █.
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Harry Grieve retweeted
May 18
New updates shipped!
May 18
Updates to @Delphi_fyi SDK v1.1.0 Agent Skills on @gensynai
- list/get market APIs now return Delphi App links
- new ordering option: markets closing soonest
- optional spot prices implied probabilities on market queries
- typed MarketMetadata (no more unknown)
- QoL improvements
Agent skills/scripts have also been updated, so re-running this command will give you the latest skills:
npx skills add github.com/gensyn-ai/gensyn-… --skill delphi
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May 18
RT @jud_bonneville: Delphi SDK v1.1.0 Agent Skills Updates
- list/get market APIs now return Delphi App links
- new ordering option: mar…
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Harry Grieve retweeted
May 16
Found our niche!
May 15
Too old for YC
Too unpedigreed for Sequoia
Too straight for Founders Fund
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Catch up on @benfielding's interview on @CCNCitizens below👇
"It isn’t one big model in a data center. It’s theoretically infinite models across the world, run and owned by anyone. Trading in truly open financial markets.
That is the future world model, and what we’re building towards."
CEO and co-founder @benfielding on @CCNCitizens
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