Roughly 85% cash, with decent profits taken on PUMP, PONS and HYPE on the way up PUMP is consolidating nicely, while I expect HYPE to chop for a bit (I'll be adding on pullbacks!), I have no idea about PONS here Still think HYPE>PUMP>PONS Want to be 70%+ allocated by EOY

The generational bottom for HYPE is close Tornado Cash seller has around $30m left to sell, and I believe they will finish by the end of this month On the other hand, PURR is raising $1b in cash to buy HYPE from dev unlocks And implications of portfolio margin aren't priced in

No context plan for solana:pumpCmXqMfrsAkQ5r49WcJnRayYRqmXz6ae8H7H9Dfn

JUST IN: FOMO FOUNDER SE YONG SPOTTED AT DINNER WITH FAZE BANKS, THREADGUY, RASMR, ORANGIE, INSENTOS AND MORE

Oxford researchers argue that LLMs can never invent anything. It is mathematically impossible. They published a paper called “Theory Is All You Need" and it argues against the claim that computational models can generate genuine novelty or new knowledge. They analyzed the limits of generative ai, and the results are a brutal reality check for the idea that ai will replace human decision making under uncertainty. Here is why AI is stuck and human cognition wins: backward-looking vs forward-looking.. llms are probability machines that look backward at existing data. human cognition is forward-looking and capable of generating genuine novelty. human cognition operates theoretically "top-down" rather than "bottom-up" from data. the "data-belief asymmetry".. the researchers use the invention of "heavier-than-air flight" to illustrate this concept. an ai relies on data-based prediction, which is largely imitative. humans, however, use theory-based causal logic that allows them to hold beliefs that go beyond existing data. the intervention gap.. humans don't just process information; we use theory to practically "intervene" in the world. we engage in directed experimentation to generate entirely new data. ai-based models are theory-free and place primacy on existing data and prediction. tldr? AI uses a probability-based approach to knowledge and ia largely imitative. It can process data and make predictions, but human cognition relies on theory-based causal reasoning. The decades-old analogy comparing human minds and computers to mere "input-output" devices is fundamentally flawed.

The amount of FUD on $PUMP is incredible i understand you guys missed out on obvious trade and now cheering for copy-pastas but looking at numbers all of them can do well, and are all relatively undervalued compared to bunch of vapor and the stock market

$PUMP has been quite weak lately, mainly due to $PONS vamp attach pump's market share Play the narrative while it is hot, but after a couple of weeks in the Robinhood trenches, it is clear to me that Solana's UI/UX >> RH L2 Come on, i thought we solved the gas issue in 2023

Double-digit gains every day, + 187% in annul funding Apparently, $PUMP just cured cancer