redknecktrader
85 posts

redknecktrader
@redknecktrader
blue collar but the necks red 🦅🇺🇸


In the open source AI skill world, #CEX competition now looks like this, Who attracts more builders, Who builds real culture, Who only makes announcements. Right now @Binance is far ahead. Crypto exchanges have now entered the AI skills war. We looked at the biggest players . Binance opened binanceskillshub on March 3, 2026. OKX released onchainosskills just 4 hours later. Same day, same idea, completely different results. 🔗What is the difference? On Binance there are 97 open PRs. (This is a very significant achievement and only 3 days.Compared to the GitHub average, these are actually record levels.) That means 97 new features requested by developers, in the open.Developers are proposing ideas, discussing them, and building together. On @okx , there are 0. And here is something even more interesting. Did you know that @Bybit ’s official skills repository is actually a fork of a volunteer’s project? Many exchanges do not even have an official AI skills repository. 🔗The secret behind Binance is not technology. It is culture. For years #Binance has accumulated builders around it. When they open a skills hub, the world is already ready. The community is already there they just open the door. Thank you for this door @cz_binance



This is insane. Scientists just taught living human brain cells to play DOOM. Cortical Labs in Australia grew about 800,000 neurons (human stem-cell derived plus mouse neurons) on a silicon chip and connected them to a computer using a high density microelectrode array. This system, called DishBrain, sends electrical signals representing the game environment and reads the neurons’ responses as control inputs. These cells don’t see graphics. They receive patterns of stimulation encoding movement and feedback, then reorganize their firing to improve performance. In earlier experiments, these neuron networks began learning tasks like Pong in about 5 minutes of gameplay. Because biological neurons adapt continuously and use extremely little energy, researchers are developing real bio-hybrid machines like the Cortical Labs CL1 biological computer, which runs living neural networks on silicon hardware. For perspective, the entire human brain operates on roughly ~20 watts of power. Modern AI systems require far more energy for comparable tasks. Researchers call this Synthetic Biological Intelligence. Future applications could include controlling robotic limbs, modeling neurological diseases, testing drugs, and building ultra-efficient computers that learn naturally instead of being trained from scratch. This isn’t consciousness or a “brain in a jar.” It’s proof that living tissue itself can function as computing hardware. Acceleration is everywhere.


Meet Jiuzai (韭仔) - a character born from the long-standing “chives/leeks” meme in Chinese markets, where retail investors are seen as endlessly harvested by smarter money. Jiuzai modernises that history into a single mascot for ordinary traders - its literally the Chinese version of NPC.

Hello @bonkfun @SolportTom a bundled alien meme is looking good right about now please deploy one and let a real young nigga sneak in. Thanks in advance.







《作弊码》第一集 Solana Mobile is a cheat code📲@toly















