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- AI Films, Elon's xAI Chip & National Debt Solution using AI
AI Films, Elon's xAI Chip & National Debt Solution using AI
Prith
September 17, 2025
1/ OpenAI backs an AI-Generated Feature Film 🎥
OpenAI is helping make an AI generated feature length animated movie that will be released in theaters in 2026.
Total production time: nine months
Total budget: $30 millionThe plan is to debut 'Critterz' at Cannes in May.
— Andrew Curran (@AndrewCurran_)
4:05 AM • Sep 8, 2025
We all knew this day would come — but it’s still wild to see it happening. AI is moving so fast that the disruption of Hollywood isn’t just “on the horizon” anymore, it’s here. From scriptwriting to storyboarding to full-on production, AI tools are now capable of handling huge parts of the creative pipeline. OpenAI’s backing of an AI-generated feature film signals a massive shift; we’re talking big-screen projects that could redefine how movies are made.
2/ Elon & xAI building an Inference Chip ⚡
BREAKING: XAI COOKING ITS OWN AI INFERENCE CHIP
> secured major ASIC order from Broadcom
> inference only
> target mass production 2027
> xAI actively hiring custom silicon engineers
> Elon targeting 50 million H100 equivalent in 5 years— NIK (@ns123abc)
9:43 PM • Sep 7, 2025
Elon casually dropped that he’s aiming for 50 million H100 equivalents in five years. That’s not just ambitious — that’s infrastructure at a planetary scale. With xAI developing its own inference chip, it’s clear they’re going for vertical integration: from the model to the silicon. If they pull this off, they’ll fundamentally reshape AI’s cost structure and speed, moving it from “supercomputer level” to “industrial baseline.”
3/ AI to Solve the National Debt Crisis? 💰
"If AI and robots don't solve our national debt, we are toast." -Elon
My fellow technology brothers, it is time to build. The fate of the United States depends on it.
— Beff – e/acc (@BasedBeffJezos)
4:41 AM • Sep 10, 2025
This sounds like sci-fi, but it’s a serious conversation now. AI’s ability to analyze trillions of dollars in spending, identify inefficiencies, optimize tax systems, and even model macroeconomic outcomes could become a policy game-changer.
4/ Alphafold AI Drug Discovery 🔬
AlphaFold made protein structure work roughly 45,000 times faster, so drug hunters now start projects with far richer data and skip decades of trial-and-error.
The blue curve shows how many protein structures labs solved through experiments since 1982. It crawled up to about
— Rohan Paul (@rohanpaul_ai)
11:52 AM • Sep 11, 2025
AlphaFold already cracked one of biology’s toughest problems: protein folding. Now its AI-driven drug discovery pipeline is maturing fast. The implication? Drug timelines could shrink from 10 years to just a few.
5/ AI Agent Orchestration = The Key to Agents 🤝
Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level.
When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go
— Aaron Levie (@levie)
3:26 AM • Sep 13, 2025
We’re entering the “agent economy,” but the real unlock isn’t just smarter individual agents. Think of it as AI supply chains: one agent specializes in research, another in outreach, another in execution. When they can seamlessly hand tasks off to each other, you get emergent capabilities that feel like a real organization.
6/ LLM Self-Interpretability: A Breakthrough?
LLMs ability to introspect is malleable and trainable to a great degree. These include decisions not made just during fine tuning, meaning we an steer these models as users to a very granular level.