Building a proprietary dataset of expert knowledge in a niche subfield is the ultimate competitive edge. $HELP

The age of single-modal AI is over. $HELP

Google just solved continuous learning. And the implications are bigger than most people realize. SIMA 2 isn’t “a better game bot”. It’s an AI that improves itself through experience, without human annotations. It learns new tasks, transfers skills between completely different

Watch as Essex 🎯 longs $ICP from $1 till it hits $7 which is kinda huge. Could $ICP be the next token you should hold ahead of the bullrun? Watch as @Blockchainpill talks about it. $HELP

the future does not look like the past

Underrated opinion

Today’s best artificial agents need 100 to 10,000× more experience than a human to solve the same task. Humans are amazing robots 👾

probably dumb take but I think that, in a not-so-far future, people will make a lot of money creating apps, and even companies, with no human clients, consumed entirely by bots with money

Video understanding and video generation are two sides of the same coin.

Without labeled data, you can't train custom models. Without custom models, you're stuck with generic solutions.

Interesting post about Jean-Baptiste Kempf “The guy who kept VLC free”🔥

It's a grind few want to endure.

Pattern recognition is and always will be the strongest human skill. Don’t forget.

What if etherscan.eth and MetaMask.eth 🦊 kept your digital fingerprints? Nobody is as safe as they think. They can just unilaterally change their minds. gg 💀

Pixel + GrapheneOS looks extremely sexy. Time to switch. Don’t wait until it’s too late to take privacy seriously.

i’ve realized that keeping up 100% with new AI tools/models has become almost impossible. the pace is too fast and the breakthroughs hide in tiny details that never get announced. one prompt works today and fails tomorrow. the only people who actually understand where things

This is insanely good.

AI can reveal value that human systems overlook. AI can help CEOs of Big Corps spot true talent rather than people who are just loud or political, and it's probably more objective than the middle managers.

"We are no longer in the age of scaling, we are back to the age of research.' Kaplan scaling laws are flattening at current frontiers, autoregressive transformers exhausted for reasoning/planning/alignment gains. Next jump needs real architectural breakthroughs - test-time

Artists willing to challenge their limits have a huge opportunity in this new era.