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Most token launches end after the hype. Im trying building something different. Introducing Perpflow, a launch platform backed by real market exposure.
Creator fees from our Pumpfun launches are used to open real positions on Hyperliquid across assets like Bitcoin, Ethereum, and Solana etc.
Instead of fees sitting unused, they are put directly into the market with transparent execution and long-term alignment between creators and communities.
dApp: https://t.co/zDcBaQ4xeY
A fantastic start to SXSW London! 🥳
From discussions on expanding AI and STEM opportunities for the next generation to exploring how AI and quantum are accelerating innovation, today was packed with insights and inspiration.
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Another IDE? There are already too many of those.
Nicholas Renotte gives an honest review of IBM Bob and what it actually feels like to build with it.👇
I think we can all agree when I say the White House bringing Jensen Huang to China on Air Force One was a bad idea…
That may be the understatement of the year.
This is very bad for our national security.
@nvidia
How come it took me putting this together for people to see how bad this is?
Don’t we have people who work at our Intel agencies who are supposed to do what I just did?
This is just totally insane.
This is huge. Scientists just improved an AI model using a real quantum computer.
Researchers connected Meta's Llama 3.1 8-billion-parameter LLM to IBM Quantum System Two, a 156-qubit quantum computer.
Instead of training the full AI on quantum hardware, they added tiny quantum modules called “Cayley Unitary Adapters” into the model.
Results were surprising 👀
The quantum-enhanced AI achieved a 1.4% perplexity improvement using only ~6,000 extra trainable parameters compared to the model’s 8 BILLION parameters.
Researchers also found cases where: • the quantum AI answered correctly • while both the original model and classical adapter versions failed.
Even more impressive:
In compressed AI models, the quantum system recovered up to 83% of the performance normally lost during compression.
This is important because future AI systems need: • smaller models • lower energy usage • faster inference • cheaper deployment
Most “quantum AI” studies only use simulations.
But this experiment ran on actual IBM quantum hardware, making it one of the first real demonstrations of a hybrid quantum-enhanced large language model.
$STAKE did crazy volume, but at the end of the day, this space is all about community. The treasury should actually belong to the people holding the bags. Enter Cash Bank ($CASHBANK). You hold the token, you literally own the bank.
I set up a governance structure where the community votes on the treasury output, running on rapid 5-MINUTE epochs.
https://t.co/62yMKgvWIK
No central authority. Just pure decentralized consensus. If nobody votes? The system is hardcoded to default to an automatic airdrop to all holders.