LAST 24 HOURS TO JOIN THE ALEPH HACKATHON
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A new batch of Binance Alpha Projects added! Discover the latest tokens spotlighted in #Binance Markets.
$CA
$POKT
Navigate to the [Markets] - [Alpha] tab to trade.
Know more 👉 binance.com/en/alpha/bsc/0…
It's been a long road and a ton of work, and we know some people thought it would never happen at all. But it's time.
Shannon goes live on June 3rd, 2025 at 10AM PT.
We are coordinating with the noderunners, apps, exchanges, and other community participants to make sure…
What do the Shannon tokenomics do for $POKT? They charge the users of the network to pay the suppliers of the network. You know, like an actual business. If you're looking for fundamentals, you're looking for Pocket.
Track supply here: pokt.money
Now, think of a permissionless version of OpenRouter, where anyone can place an anonymous model, with community driven generative benchmarks, mixing and hiding tests into users traffic... That's were we are going with the @POKTnetwork , just wait a month...
Now, think of a permissionless version of OpenRouter, where anyone can place an anonymous model, with community driven generative benchmarks, mixing and hiding tests into users traffic... That's were we are going with the @POKTnetwork , just wait a month...
This has been happening since gpt3.
They don’t care because people think that ”vibe” is the way to select a model.
Model’s capabilities should not be assessed by the same people that want to sell them, we need 3rd party testing, continual testing .
This has been happening since gpt3.
They don’t care because people think that ”vibe” is the way to select a model.
Model’s capabilities should not be assessed by the same people that want to sell them, we need 3rd party testing, continual testing .
Nice paper, very well written and clear of any crypto-AI hype.
Looking forward whats next, so far is a very clever way to reduce the overhead in verifiable ML!
Nice paper, very well written and clear of any crypto-AI hype.
Looking forward whats next, so far is a very clever way to reduce the overhead in verifiable ML!
🚀 Shannon Load Test on Devnet 🚀
✅ 10,000 proofs submitted and validated
✅ 10,000 claims settled
⏳ 2 minutes elapsed
Is this good enough for a mainnet launch, or should we aim for more?
@BuildWithGrove
seeing the "epiphany" moments of @deepseek_ai R1 generation is really funny and also interesting:
`wait, what about the various test cases? Let's test it mentally`
I don't think there is any "epiphany" there, but it kinda shows how they managed to guide CoT training
51 Followers 152 FollowingI share some thoughts about crypto and stocks. If my tweets influence your financial decisions, reconsider your life choices.
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There is no strength in numbers, have no such misconception.
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We empower through technology.
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"The future is already here, it’s just not very evenly distributed" (Gibson)
Not an AGI believer, LLMs are good at form not substance
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Creators of GPT-J, GPT-NeoX, Pythia, and VQGAN-CLIP
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Wish I could hug you over the internet 💚