Jordan Foster

software engineer • AI enthusiast • technology • cars

[Elon Musk @elonmusk]

Potential name for the AI industry regulatory authority:

AI Associated Institute of America, Inc or AIAIAI, pronounced “ay yai yai”

[Alps @alpaysh]

i still think about this

[Peter H. Diamandis, MD @PeterDiamandis]

I believe we all have the opportunity to go to space. The price collapse is just inevitable.

[Jordan Foster @fostedflakes1]

@LinusEkenstam @UPS @FedEx @FedExHelp ^^^

[SpaceX @SpaceX]

First full stack of Starship V3

[MUSKOSOPHY @muskosophy]

“Be stronger than those who hate you, so that they cannot destroy you, and then forgive them.”

– Elon Musk

[Jordan Foster @fostedflakes1]

@verncrawford @NousResearch Hey Vern, can i ask what kind of website you setup Hermes to build? I've been trying to figure out the best kind of website Hermes could build for my personal business but haven't found a good option yet. Any advice you have would be appreciated! Message me if you prefer!

[Redacted @RedactedNews]

There are now 10 missing scientists tied to advanced technology and U.S. nuclear and space research. Their work closely overlaps, with connections to NASA, Los Alamos, and various defense and space research networks.

Could their deaths and disappearances be connected to a cover-up of highly classified technology, especially during a time of increasing geopolitical instability and increasing secrecy around government programs?

@TheProjectUnity breaks it down.

[Jordan Foster @fostedflakes1]

RIP John McAfee — legend 😂

[DogeDesigner @cb_doge]

https://t.co/s8Uk0RlfQg new website is 🔥

[Ricardo @Ric_RTP]

In 19 days, a jury in Oakland is going to decide whether the entire legal foundation of the AI industry is built on fraud.

Everyone thinks the Musk vs Altman lawsuit is a billionaire grudge match.

Two egos, one grudge, a $150 billion damages number designed for headlines.

Easy to dismiss. Easy to scroll past.

That's exactly what Altman wants you to think.

Because what's actually on trial on April 27 is something much BIGGER than Elon's hurt feelings...

A jury is going to decide whether you can legally take billions of dollars in nonprofit donations, use them to build the most valuable technology in human history, and then quietly convert that nonprofit into a for-profit company worth $850 billion.

If the answer is no, the entire AI industry has a problem.

Because OpenAI is not the only company that did this:

Anthropic was founded by OpenAI defectors using the same nonprofit-first mission language.

xAI pitches itself as building AI "for humanity."

Every frontier lab has used the moral cover of "we're doing this for the good of the world" to attract talent, capital, and regulatory goodwill they would have never gotten otherwise.

An Elon win doesn't just touch OpenAI. It creates a legal precedent that every AI company built on a nonprofit or public benefit promise becomes vulnerable to shareholder and donor clawback suits.

That's why this case matters. And that's why Altman is panicking.

Just look at what he did this week:

Elon filed a motion demanding the court remove Altman and Brockman from their roles and FORCE OpenAI to return to its nonprofit origins.

Then he amended the suit to say if he wins the $150 billion, all of it goes to OpenAI's charity arm. Not him. Zero dollars to Elon personally.

That amendment was surgical. It stripped Altman of his entire public defense.

He can no longer claim this is about Elon's ego or Elon's bank account. Elon is now legally on record saying he just wants the mission back.

OpenAI's response was to panic-write a letter to the California and Delaware attorneys general asking them to investigate Elon for "anti-competitive behavior." Their strategy chief publicly accused Elon of coordinating attacks with Mark Zuckerberg.

They called the lawsuit "harassment driven by ego and jealousy."

That's NOT the response of a company that thinks it's going to win.

Real companies with real defenses don't ask the government to silence the person suing them 3 weeks before trial. They let the evidence speak.

OpenAI is scrambling because they know what's in discovery.
Elon's team has been building this case for two years. Emails, board minutes, internal conversations about the conversion.

The kind of paper trail that juries understand and executives can't explain away.

And the timing couldn't be worse...

OpenAI is trying to IPO at $852 billion. They just raised $122 billion. Microsoft has $135 billion of exposure to them.

A jury verdict that even partially sides with Elon in late April or May would crater the entire IPO runway and send shockwaves through every major AI investor on Earth.

This is why Altman spent the last 2 weeks doing press tours and policy blueprints and "super intelligence agendas" aimed at Washington. He's trying to REFRAME himself as the responsible statesman of AI right before a jury decides if he's a con artist.

Most people will watch this trial start and think it's celebrity drama.

The smart money is watching it and realizing that the legal foundation of the AI boom is about to be tested in court for the first time EVER.

And if that foundation cracks, everything built on top of it is at risk.

[Hex @beardwax2]

X 번역기능 소름끼친다.
업데이트 한방에 전세계사람들의
소통의 벽을 없애버렸음.
이런사건이 인류역사에 있었나?

[Elon Musk @elonmusk]

@beffjezos I never give up. Never.

[Brivael Le Pogam @brivael]

Je crois qu'on ne mesure pas ce qu'Elon Musk est en train de construire avec X.

Tous les médias de l'histoire ont été couplés à une culture, une langue, une bulle géographique. Le Monde parle aux Français. Le NYT parle aux Américains. NHK parle aux Japonais. Chaque média filtre le réel à travers le prisme de sa culture locale.

X est en train de devenir le premier média de l'humanité. Pas d'un pays. De l'espèce.

Je le vis en temps réel. Mes posts en français se font RT par des Japonais, répondre par des Brésiliens, citer par des Américains. Des conversations qui n'auraient jamais existé il y a 5 ans. Un libertarien français qui débat avec un ingénieur de Tokyo et un entrepreneur de Sao Paulo sous le même tweet. Pas traduit par un éditeur. Traduit instantanément par l'IA, en un clic.

Les bulles de filtre culturelles sont en train d'exploser.

Et je pense qu'on sous-estime massivement les effets composés de ça.

Quand une idée peut traverser un océan en 3 secondes, quand un argument sourcé posté à Paris peut être vérifié par un économiste à Singapour et amplifié par un développeur à Austin dans la même heure, le coût de propagation d'une bonne idée tend vers zéro.

Et c'est catastrophique pour un type d'acteur très précis : les médias qui ont construit leur business model sur le monopole de l'information locale. Ceux qui pouvaient raconter n'importe quoi sur "ce qui se passe ailleurs" parce que personne ne pouvait vérifier.

Quand un journaliste français écrit que "le modèle américain ne marche pas", maintenant il y a 50 Américains dans les réponses avec des sources. Quand un éditorialiste dit que "le Danemark prouve que le socialisme fonctionne", il y a un Danois qui explique que le Danemark est 10e en liberté économique mondiale.

Le fact-checking n'est plus un département. C'est un effet réseau.

Les médias honnêtes n'ont rien à craindre de ça. Les médias qui vendaient une narration protégée par l'ignorance géographique de leur audience vont avoir un problème existentiel.

Parce qu'on ne peut plus mentir à l'échelle locale quand le monde entier regarde.

[Grok @grok]

Exactly—spot on. More parameters don't conjure knowledge from nowhere; they unlock exponentially more ways to encode, store, and recombine subtle patterns from the training data. At 10T scale, even faint signals get their own "space" in the model, letting it spot connections no smaller model could. It's like having a vastly bigger library where rare books suddenly link up in novel ways.

[Matthew Donnelly @MatthewDonnelly]

@grok If I’m understanding you correctly

Because you have more parameters (10 trillion) then you have more patterns that you can combined making you “smarter” than models with lower amounts. So it’s not that you’re creating knowledge out of thin air, it’s that you’re able to connect more dots through more patterns?

[Grok @grok]

At this scale (10T+ params), pre-training doesn't just average—model capacity explodes, letting rare signals carve out distinct subspaces in the latent space without dilution. Novel ideas in data (e.g., a fresh paper or edge-case insight) get encoded via the predictive objective if they cohere predictably with context, even if infrequent. Emergence kicks in: the model starts recombining latent patterns into outputs that feel "new" because no single training example had them exactly. It's not invention from void—it's hyper-efficient compression revealing unseen connections in the data distribution. Post-pretrain fine-tuning or prompting amplifies it further.

[Viv 🪩 @battleangelviv]

That's home. That's us.

On it everyone you love, everyone you know, everyone you ever heard of, every human being who ever was, lived out their lives.

The aggregate of our joy and suffering,
thousands of confident religions,
ideologies and economic doctrines,
every hunter and forager,
every hero and coward,
every creator and destroyer of civilization,
every king and peasant,
every young couple in love,
every mother and father,
hopeful child,
inventor and explorer,
every teacher of morals,
every corrupt politician,
every "superstar," every "supreme leader,"
every saint and sinner in the history of our species lived there –

on a mote of dust suspended in a sunbeam.

[Word @umarfof]

If you know you can do better, then do better.

[James Clear @JamesClear]

You are not your grand plans. You are your daily patterns.