HOLD!!! MADAFAKA!!!
We have a long way to go and yes it will take time. The patient ones will get greatly rewarded I believe.
Think about stock split’s down the road and eventually the S&P 500 inclusion.
Time is on our side.
NFA
🇺🇸 In just 14 months, Stand With Crypto has reached 1.8 million advocate sign-ups.
We are proud of this movement's progress and hope you share that pride. Your voices have had a profound impact by advocating for legislation, improving lawmakers' opinions of crypto, and mobilizing crypto voters to participate in the election.
Looking forward - we are setting a goal to reach 4 million advocates by the 2026 midterms.
This is an ambitious goal, but we know the crypto community can achieve it. We are excited to continue growing this movement with you.
@mcuban@MMthee0ne@DanielStrobel00 This is a really good point. Mark, most companies are obligated by fiduciary responsibility by the board to buy foreign goods because of price. To realign incentives and bring back jobs to the US, we need to address this issue.
Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery!
https://t.co/jC7g5GPVsE
From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI Scientist opens a new era of AI-driven scientific research and accelerated discovery.
Here are 4 example Machine Learning research papers generated by The AI Scientist.
We published our report, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, and open-sourced our project!
Paper: https://t.co/lTQ8UenFHk
GitHub: https://t.co/Im53whVeAq
Our system leverages LLMs to propose and implement new research directions. Here, we first apply The AI Scientist to conduct Machine Learning research. Crucially, our system is capable of executing the entire ML research lifecycle: from inventing research ideas and experiments, writing code, to executing experiments on GPUs and gathering results. It can also write an entire scientific paper, explaining, visualizing and contextualizing the results.
Furthermore, while an LLM author writes entire research papers, another LLM reviewer critiques resulting manuscripts to provide feedback to improve the work, and also to select the most promising ideas to further develop in the next iteration cycle, leading to continual, open-ended discoveries, thus emulating the human scientific community. As a proof of concept, our system produced papers with novel contributions in ML research domains such language modeling, Diffusion and Grokking.
We (@_chris_lu_, @RobertTLange, @hardmaru) proudly collaborated with the @UniOfOxford (@j_foerst, @FLAIR_Ox) and @UBC (@cong_ml, @jeffclune) on this exciting project.
I vote for the candidate whose platform contains the following:
1. No Open Borders (but pro legal immigration)
2. Boys are boys
3. Girls are girls
4. Boys can’t compete in girls events
5. Police are good
6. Criminals are bad
7. U.S. National Security is a priority
8. Inflation and reckless spending are bad
@Jkylebass@KamalaHarris@DNC It’s pretty simple: if you are a Jew for @KamalaHarris when you vote in November, just know that she represents a party that couldn’t stomach a Jewish VP on the ticket