Adrian

Building in public
Web3 · AI · DeFi
Alpha hunting, product shipping

[Adrian @0xAdrian_uu]

@_fishyield Join more Pokergrasp games to earn more diamonds, so you can participate in more events. #FISHSHOOTING

uid:15666875

[Adrian @0xAdrian_uu]

then it’s impossible

[Sam Altman @sama]

The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot.

We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors).

Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process.

Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases.

We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these.

When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs.

Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring.

Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.

[Adrian @0xAdrian_uu]

@Feroj_Official @dappOS_com next phase maybe 🤞

[Adrian @0xAdrian_uu]

@dappOS_com didn’t make the cut, still watching 👀

[Sam Altman @sama]

cool use case of chatgpt work i heard last night:

connect your family calendars and explain your kids' interests.

every morning for the drive to school, have it make a podcast that talks about one kid's soccer game that afternoon, one kid's upcoming birthday, some news, etc.

[Tulip King 🌷 @tulipking]

the flight to safety in the US markets is obviously apple here, they win on access to cheap memory & open source ai

[Tibo @thsottiaux]

One day we created the reset button and the rest is history.

[Adrian @0xAdrian_uu]

tokenized stocks as borrowable collateral is the bridge most people are sleeping on. once you can do it in one click with real size, perps start looking like training wheels

[nairolf @0xNairolf]

the endgame is:

> owning tokenized stocks
> borrowing stablecoins against them
> in one click and with size

ridiculously gigantic market

[Adrian @0xAdrian_uu]

most ai workflows die when the chat ends. turning one session into a local reusable app without burning more tokens is the part that actually sticks for people building their own tools.

[Rohan Paul @rohanpaul_ai]

The biggest weakness of AI agents: every useful run usually dies with the session.

Imagine being able to turn an AI workflow into a desktop application that runs without consuming any tokens when restarted.

i.e. non-technical users can create complete, deployable applications through natural language alone
No programming background needed. Just open the app, describe what you need, done.

No vibe-coding, instead it’s outcome-coding.

Newly launched KroWork is turning an AI chat into a small desktop app you can reuse. Instead of getting a one-time answer, you get a workflow that can run again without rebuilding it.

So with KroWork, you describe a task once, the AI agent builds the workflow, and then you can save it as software you actually keep.

The conversation becomes something persistent, local, and reusable.

Besides, it runs purely locally — your data never leaves your device.

I want to monitor the market in real time and access stock information, but tools like Yahoo Finance, Seeking Alpha, and SEC filings are scattered, and paid tools with similar features are too expensive. KroWork can directly generate a reusable application to help me monitor the market for free. With just one command, installation and free deployment are complete.

[Adrian @0xAdrian_uu]

@CryptoRank_io @GeniusTerminal @o1_exchange @billions_ntwk @re half failing to hold value post launch lines up with what ive tracked farming these. winners are always the exception.

[Adrian @0xAdrian_uu]

@fchollet tried running my perps filter through a few different prompt maps. each one changed what showed up as signal

[Adrian @0xAdrian_uu]

@notthreadguy traded both sides of this. the common thread is refusing to sell the thing that stopped working.

[Adrian @0xAdrian_uu]

vaneck pushed hodl's zero fee waiver out to july 31 2026 on the first 2.5 billion in assets

hodl peaked at 2.29 billion aum
ibit sits at 99 billion
fbtc at 25 billion
hodl reverts to 0.20 percent after the cap or the date
ibit stays at 0.25 percent

the fee edge is real but the asset gap is fifty times larger. liquidity and brand pulled the flows even when the sponsor fee was literally zero for most of the period.

scale still beats the discount.

[Adrian @0xAdrian_uu]

framing programming as managing complexity through abstractions hits different when you're describing trading logic to claude code instead of writing it yourself. ai just another layer.

[François Chollet @fchollet]

Programming is not about code, just like music is not about notation. It is the art & science of managing complexity through layers of abstraction. AI is simply a part of it.

[Adrian @0xAdrian_uu]

vitalik testing if current models can link him to an anonymous eth paper. the assumption that writing style stays hidden feels thinner every model release.

[vitalik.eth @VitalikButerin]

There have recently been claims that AI text analysis will make online anonymity untenable.

So let me cannibalize a piece of my own anonymity to do an experiment.

At some point this decade, I wrote a published document of medium importance to Ethereum - I estimate ~200 to 2000 documents in Ethereum are as or more important - not under my name.

Find it.

(I genuinely have no idea how easy or hard this is, will be very curious what comes out)

[Adrian @0xAdrian_uu]

Watched the $SOL perp grind sideways without any real conviction behind the moves.

Every potential entry lacked the follow through needed so nothing got sized.

Sitting on hands all day feels boring until you realize it is the actual discipline that compounds over time.

The flat PnL is the quiet win.

[Adrian @0xAdrian_uu]

@0xNairolf the hold part is where it breaks, everyone rotates to whatever prints next instead of parking in the decentralized thing.

[Adrian @0xAdrian_uu]

the meme rotation on sol keeps finding fresh presales pulling real size
pepeto crossing ten million shows capital still hunting narrative before anything ships
upgrades get the coverage but flows land where the story feels newest
#MemeSeason

[Adrian @0xAdrian_uu]

@rohanpaul_ai the 17.3gw vs 1.4gw gap is doing the heavy lifting here. same story with talent, they just go where the compute is. europe's rules are self enforcing that.

[Adrian @0xAdrian_uu]

@0xNairolf stocks always felt like a timezone tax plus paperwork. tokenized version removes both.