🤝Ads3 x AIMETA AI Agents are moving from experiments to real economic actors — but trust, execution, and accountability need to scale with them. AIMETA @AImetalabs is building a Verifiable AI Agent Execution Network for Web3, providing the execution, permission, and reputation infrastructure agents need to act autonomously and participate reliably in real economic activity. Now, AIMETA and @ads3_ai are joining forces to accelerate ecosystem adoption through smarter user acquisition, community growth, and AI-driven expansion. 🤖 Trust autonomous actions. ⚡️ Execute with confidence. 🌐 Build the agent economy. Excited to partner with AIMETA and look forward to growing the ecosystem together. #AIMETA# #Ads3# #AI# #AIAgents# #Web3# #AgentEconomy#

Tech / AI meta for memes was still my Favorite time. We got to at least pretend stuff was innovative and people were trying shit. The two barbell extremes. An actual meme. Through and through. Tech / product tokens, cause there’s feedback loops and “reason” for the tone.

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Cantor Fitzgerald sees $META as a major beneficiary of personal AI agents: As AI capabilities continue to advance, we think personal agents have the potential to emerge as the third S-curve in AI. Meta is well positioned to be a leading beneficiary of this theme with a competitive model specifically trained to lead in agentic tasks, a strong harness with a differentiated UX in Muse, and massive compute infrastructure that can help META scale personal agents rapidly into its user base ahead of competition. Believe the unit economics of Muse are being subsidized in the early days, but META has several paths to a profitable freemium model. Analyst: Deepak Mathivanan

$META COULD SPEND UP TO $10B A YEAR ON ANTHROPIC AI Meta has become one of Anthropic’s largest customers and is still spending hundreds of millions of dollars a month on its tools, per NYT. Meta used Anthropic models to help power and test its upcoming personal AI agent, Hatch, while simultaneously developing competing products internally. Employees are increasingly shifting to Meta’s Muse Code, while its new frontier model, Watermelon, has reportedly been delayed until at least October.

the last time memes tried to proxy a real hyper growing category was during the AI meta. "sentient memes" were insanely cool as a left/right curve optimum and also a great onboarding layer for AI people. Last time where memes felt relevant to the real world and captured mindshare outside of the trenches. understand that stock pairs are going to be 100x bigger. 1. real reflexive connection to the largest markets in the world. 2. a relevant form factor for stock traders(the only pool of capital that can scale the onchain eco) bootstrap NVDA/AI, go net long on NVDA, compound more NVDA shares and gradually swap back. almost like an NVDA dividend. 3. the fastest growing category in crypto since stablecoins. 4. stars aligning with the biggest bull cycle both in stocks and crypto folding right in front of our eyes. many challenges and bottlenecks ahead. we will tackle them one by one. stock by stock. LONG.

what's going on right now reminds me a lot of the ai meta a few years ago (goat, fartcoin, etc.) many of us were early, but because we overrotated, we exited a lot of good positions too early, chasing the new hype of the day if i just held goat for example, and did nothing else, i would have outperformed that season by 100x, and would have had more freedom and time for everything else if i could give some advice (to you and myself), it'd be to be sharp, but slow down if youre in something good, be patient, let it play out keep capital on the side to do other trades, but dont sell your main pots

META PREPARES TO CUT 8,000 EMPLOYEES IN AGGRESSIVE PIVOT TO APPLIED AI Meta is reportedly slashing approximately 10% of its global workforce on May 20, impacting nearly 8,000 employees. This mass reduction coincides with the strategic reallocation of at least 1,000 elite engineers into a newly formed Applied AI Engineering unit.

I sat down with the Sacramento Kings co-owner @thatchriskelly. We discuss why he owns bitcoin, how sports teams and bitcoin both work as scarce assets, Meta's big AI bets, and where AI and crypto are converging. We also discuss Sports One, his new venture bringing minority sports team stakes to the public markets. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 1:08 - Why Chris owns bitcoin 2:10 - Bitcoin vs sports teams as scarce assets 5:53 - Inside the Kings arena (tech, data center & ETH mining) 10:07 - Meta's AI spending & falling token costs 14:59 - OpenAI vs Anthropic & AI bubble risk 16:48 - Interest rates & the Fed 18:40 - Open source AI & Meta's strategy 22:05 - Investing across the AI stack & blockchain 25:34 - AI & crypto convergence 34:20 - Sports One: democratizing team ownership 41:01 - Equity vs token 44:00 - How sports & markets are changing

Social trading killed your top signal. People looking at 7-8 figure pnls, calling it the top of this meta, would have called the top of the AI meta back in 2024 when we were hitting 7-8 figure pnls on Goat — before billions in liquidity poured in and majority of the cycle was still left. The only difference is that these pnls are public now, so your perception’s broken.