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AI for DC
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AI for DC
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AI for DC
Steven Adler
•
Mar 17
I'm glad to see more detail on what you'd support in a federal framework; thanks for writing this!
I'm confused by this part, however:
> "With nearly 2,000 AI-related bills proposed at the state level, consistency matters."
What is the data-source you're using for what counts as an "AI-related bill"?
When I've investigated this in the past, the state bill count has been substantially overstated. Many are not really AI-related; have no regulatory impact; or are even favorable to AI's rollout.
Commonly people would claim ">1,000" and the ones that matter for frontier AI would be more like a few dozen at most
You can find my analysis at https://stevenadler.substack.com/p/mythbusting-the-supposed-1000-ai
When AI Meets Proof
AI for DC
Interesting perspective.
In my own research, I have been exploring a related directionthe idea that physical systems can be understood as environment-dependent structures, where particle behavior emerges from interactions between waves, frequencies, motion, and a closed environmental framework.
If this perspective is correct, AI could become a powerful tool not only for analyzing data, but for discovering hidden physical relationships that are difficult to derive analytically.
For example, machine learning can analyze complex spectral patterns and dynamic interactions between fields and particles, potentially revealing new emergent laws that traditional analytical approaches might overlook.
In other words, AI may not just assist mathematics it may help us discover new physical models of reality by recognizing patternsinsystems where wave interactionenvironmental constraints, and motion shape observable behavior.
The intersectionofAIphysicsand mathematical structure discovery may be one of the most important scientific directions of the coming decades.
Was anyone else confused that an article with the subtitle "AI for DC" didn't mention the Pentagon deal?
I saw that an immediately jumped in hoping for some insights and clarity on the topic and just kept scrolling around the article.
It seems a little tone deaf to me.
OpenAI Finds Out
For one brief moment, it looked like OpenAI could move into media on its own terms.
For a stretch, the direction looked familiar, and that familiarity made it feel inevitable. A new model lands, the demos travel, and the narrative assembles itself around what this unlocks next. In this case, it was video. Sora didn’t just expand capability. It suggested a path. If text and image models had already compressed parts of the creative process, video felt like the next logical step. Not just assisting production, but starting to reshape it.
OpenAI Shuts Down Sora
OpenAI abruptly killed its most controversial product, left Disney holding the bag, and told us exactly who it wants to be.
OpenAI abruptly killed its most controversial product, left Disney holding the bag, and told us exactly who it wants to be.
How OpenAI Codex Works
The missing piece of your AI ROI model (Sponsored)
The core observation here is the one most agent builders miss: the model is a component, the agent is the system. Most engineering goes into the system, not the model. I've spent months building exactly that - CLAUDE.md files, memory layers, tool permission hierarchies - and the ratio feels about right. Maybe 20% of the work is model selection.
The other 80% is orchestration, context management, and deciding when to loop versus escalate. The AGENTS.md approach for project-level context is essentially what I've been doing with layered markdown files.
Different name, same principle. The bidirectional mid-task approval mechanism is the part I'd push on - in practice, most agents either run fully autonomous or fully supervised. The middle ground is harder to design than it looks.
What strikes me most about Codex's architecture is the deliberate choice to separate task execution from user interaction. Most AI coding tools try to be synchronous — you prompt, you wait, you get output. Codex flips this by running tasks in isolated sandboxes asynchronously.
The practical implication is huge: you stop thinking in "prompts" and start thinking in "tasks with acceptance criteria." That mental shift changes how you work with it entirely.
The part I'd push on: the sandboxed environment is both the strength and the ceiling. It works beautifully for well-scoped tasks, but the moment you need something that requires real-world state (auth flows, live APIs, production data) the isolation becomes a constraint. Curious how you see that tradeoff evolving as these tools mature.
OpenAI <> GrowthX Hackathon ✨
OpenAI's 1st Official Codex Hackathon in India.
Today, we are announcing OpenAI‘s 1st Official Codex Hackathon in India. Over 100 builders, $100,000 in prizes. This April 16th, build ambitious ideas.
“I Was Wrong About Coding” — Jay Jung, Lead of OpenAI GTM Innovation Lab, on Building OpenAI With OpenAI
How the engineer building AI at OpenAI’s Innovation Lab rewired his thinking on coding, curiosity, and what it actually takes to stay relevant in the age of AI
Upcoming Event:
OpenAI Side Quests
Rumors swirl about OpenAI pivot, SEC working on proposal to eliminate quarterly earnings requirement, Shyam Sankar releases new book
Happy Tuesday.
Why OpenAI shut down Sora
A prosumer app in a consumer world.
We’ve just experienced our first AI product shutdown and it’s quite a big one. OpenAI just closed up Sora, their TikTok-like app designed to allow for quick and easy video generation for the consumer and prosumer markets.
Viral and viable are not the same thing.
Sora looked like the future for a hot minute, then the real constraints caught up with it.
The Resistance Comes for OpenAI
A $150 Billion Pushback
Jessica Tarlov and I are live from SXSW with James Talarico — Saturday, March 14, at 3:30 p.m. EDT. Prof G+ subscribers only. Upgrade and register for the livestream here.
I know of a semiconductor company that pulled their business account out of OpenAI chatgpt and transitioned to Anthropic's Claude. Making a big stink works.
I really admire you Scott. You could choose to sit this one out but instead choosing to speak up and save this democracy!
OpenAI Drops the Side Quests
Compute constraints and competitive pressure force a return to focus
For a company that more or less kicked off the modern AI era, OpenAI has spent the past 18 months operating like a world-class research lab with a loosely attached product arm. That worked when it was the only game in town. It’s a harder position to defend now.
Things I learned at OpenAI
With deep gratitude to the collaborators, mentors, and friends who shaped how I think about the world.
When I wrote a similar post about Anthropic around two years ago, Claude Code didn’t exist and AI’s coding skills were far more limited. The world was about to experience models that could finally think deeply to solve hard things that were previously out of reach.
Interesting write up!
> Human politics/misalignment might be one of the core bottlenecks to making more progress on AGI
To check if I understand: Are you thinking of messy politics and misalignment as different things? or instances of some shared phenomena?
🤖 OpenAI Picks a Lane
And a look at Musk's new Terafab
Welcome to the Free edition of How They Make Money.
Why Anthropic is Beating OpenAI
First-mover advantage means sh*t if you're bleeding money maintaining it.
This article is at least 2 weeks late.
This mirrors what I see in brand consulting every day. The clients who try to be everything to everyone end up being nothing to anyone. The ones who commit to depth, to a clear identity, to saying no, those are the ones people can’t walk away from. Anthropic isn’t winning because it’s better at AI. It’s winning because it’s better at knowing what it refuses to be. That’s not strategy, that’s character
Openclaw is hot!
OpenAI： Let me buy it!
Claude： Let me provide my version!
😆
OpenAI Is Totally Cooked
What a s**tshow.
By now, we all know that OpenAI is up a waterway of excrement without any means of propulsion. From their models being about as useful as a chocolate tea cosy that gives you psychosis to their ever-growing crushing financial losses, things are not looking good for Altman’s plagiarism machine company. But in recent weeks, the thumbscrews have begun to tighten on this saga, and the natural conclusion of this company is finally coming into focus. You see, the colossal flow of cash OpenAI desperately needs to stop itself from imploding is starting to evaporate, and soon this vanguard of the AI bubble could be consumed by its own cash burn. That’s right, OpenAI is in a far worse position than you think.
"Instead, they are a cloud computing company" - Oracle is not, and never will be, a "cloud computing company".
They are a legacy enterprise software vendor hated by the majority of their customer base due to their predatory licensing practices.
The majority of their "cloud revenue" is illusory... It's "cloud credits" included in Enterprise software mega licensing deals. Credits forced down the customers throats in return for larger overall deal discounts, all so Oracle can hype up their cloud revenues and keep the analyst/investor hype train running.
Meanwhile, I see Geoffrey Hinton is going on about “AI is conscious,” and “AI is destroying all the jobs.” Does he follow any of the literature on AI and business?
Balyasny Taps OpenAI for AI Platform
Plus: Manulife Adds Infrastructure for AI Agents and Wall Street is Worried About AI Job Losses
Hey, it’s Matt. You’re reading AI Street, where I report on how Wall Street uses AI. This week:
Why OpenAI is shutting down Sora
It's about the money, money, money
OpenAI is shutting down its Sora video platform, the text-to-video app it launched last September. The developer API for Sora is also being discontinued, and video functionality will not be supported inside ChatGPT either. The Sora team will pivot to robotics and world simulation research.
OpenAI Cleans House Ahead of IPO
AI Inside for Wednesday, March 25, 2026
This episode is sponsored by Airia. Get started today at airia.com.
OpenAI Just Killed Its Own Product
Yesterday OpenAI announced it’s shutting down Sora, its AI video generation app, just six months after launch.
The move also killed a $1 billion investment deal with Disney that would have given Sora access to 200+ characters from Marvel, Pixar, and Star Wars. No money ever changed hands. The deal is dead.
OpenAI Just Published a Masterclass in Context.
Data agents, context, and the infrastructure behind them
Open roles at OpenAI, Airbnb, EliseAI, & Benchling
Your weekly list of open roles at breakout startups, hiring right now
Build -1 → 0
The Pentagon’s bombshell deal with OpenAI, explained
Only Congress can put meaningful limits on government abuse of AI.
On any other day, the record-breaking $110 billion fundraising round OpenAI announced last Friday would have captured the attention of the AI world. Instead, we were all captivated by the showdown between Anthropic and the Pentagon.
Historically speaking, Congress give the president a lot of freedom in day-to-day execution, and a lot of benefit of doubt.
AI will do all that the military needs it to do, including surveillance and killer robots, as deemed necessary, and the Congress will only prevent worst excesses.
I think sooner or later Anthropic will also provide an AI that it cannot ultimately control, if the gov gives enough reassurances (with fine print).
Heaven forfend that I impute ambiguous motives to this administration, but it seems possible that the $25 million donation from the president of Open AI to Trump’s superPAC may have also played a role: https://www.sfgate.com/tech/article/brockman-openai-top-trump-donor-21273419.php
OpenAI Backstabs Disney, While Anthropic Catapults Ahead
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