random 4am thoughts but i think every few years there are *specifically digital* business structuring metas for really young founders that keep changing as new tech/mediums arrive and venture behavior changes. 2018-2022 was influencer + commodities/courses or raise lots of $$
@waitin4agi_
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Social Mobility as Violence Minimization Framework in Human Societies
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Humanity has run on a thin violence minimization program in the form of allowing anyone to use their life's energy to earn upward social mobility. Remove that and we're back to the jungle lol.
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Game Theory Optimal vs Unconventional AI Strategy
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when everyone is playing game theory optimal the crazy guy wins in a short term game. when everyone is a crazy guy the game theory optimal guy wins long term. This tweet is about AI and AI enabled companies.
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OpenAI Acquires TBPN: Distribution and Right Audience Matter Most
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Incredible story. Price tag was likely over 100m for something that didn’t exist 1.5yrs ago. It tells you how much distribution and eyeballs matter (the right kind). TBPN actually barely gets views compared to other shows but it has the *right* people listening. Avi (@AviFelman) WOW OpenAI buying TBPN. Distribution is everything in today's world wsj.com/cmo-today/openai-buy… — https://nitter.net/AviFelman/status/2039757449201103015#m
→ View original post on X — @waitin4agi_, 2026-04-02 18:52 UTC
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Aeos Companies: Different Cultures for Every Professional
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All the companies inside Aeos have different cultures. Yaas is for employees who want their company to be people first. Aevy is for art purists. Team VM is for AI enthusiasts. Aeos labs is for engineers. Aeos games is for people who want to pursue a moonshot by giving it all. We have more companies but no matter who you are there’s place for you.
→ View original post on X — @waitin4agi_, 2026-03-30 11:44 UTC
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LLM token prices decreased 99% since 2022 launch
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To give you an idea since we launched godinabox in 2022 till today token prices for top of the line LLM is something like 1% of what it used to be.
→ View original post on X — @waitin4agi_, 2026-03-29 11:30 UTC
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Annualized Revenue as Valid Growth Metric in AI Competition
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The most pointless kind of dunking is dunking “on behalf” of someone else. Everyone thinks they’re doing the startup ecosystem/investors a service by saying that someone’s revenue might not recur. But investors are fairly sophisticated about this and know the difference. They know these companies are acquiring the distribution and user base right now and will hopefully generate profit as token prices continue to fall. This is what investors are betting on. Annualised revenue is simply an indicator metric of growth. Most AI companies globally report this and therefore it is a useful score to compare these companies against each other in the first innings of the AI race.
→ View original post on X — @waitin4agi_, 2026-03-29 11:26 UTC
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AI-Generated Music Succeeds Where Books and Movies Fail
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Here’s my very weird observation that shouldn’t make sense but is correct: this tweet is right about AI books and movies. But AI generated music has very real traction and good ones are listened to on repeat a lot, the same user behavior as normal hit music. Matteo Pellegrini (@matteopelleg) Nobody wants to read AI-generated books, watch an AI-generated movie or listen to an AI-generated song. — https://nitter.net/matteopelleg/status/2037546434183180590#m
→ View original post on X — @waitin4agi_, 2026-03-27 19:43 UTC
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Meta introduces TRIBE v2, foundation model predicting human brain responses
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Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.
— AI at Meta (@AIatMeta) 26 mars 2026
Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people… pic.twitter.com/vRoVj8gP4jToday we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound. Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks. Try the demo and learn more here: go.meta.me/tribe2
→ View original post on X — @waitin4agi_, 2026-03-26 13:04 UTC