nat

checking chains

[foobar/ @0xfoobar]

impressive how quickly AI has ruined the word "honestly"

unlike the em-dash, honestly didn't even deserve it

[banteg @banteg]

i don't like these purity tests. programming is just about solving meaningful problems, you can do it at any level of abstraction. im glad to ascend and use the tools that allow me to breeze through 10x harder problems. i don't think i have thought so much about the problems and programs any time in my career. idk what that is if not having fun.

[Christoph Nakazawa @cnakazawa]

100% agree. This is the current sweet spot.

All the skills and setups have big “I optimized my text editor” energy.

[Jake Brukhman @jbrukh]

The world you’re living in: Boko Haram uses AI to build explosives every day while your math prompt gets you perma-banned.

This is why AI needs to be open and widely distributed.

[BowTiedDevil @BowTiedDevil]

This EXACT thing is why I run agents inside a devcontainer

I distrust all models, so they only get access to a set of files explicitly attached to it.

Typically this is a shared folder for scratch space, a read-only view of my agent config, and one local git repo.

[Jared Palmer @jaredpalmer]

The Bun rewrite was dirt cheap even at Fable pricing. For comparison, it took 3-5 engineers (about half the core team) about ~14 months to rewrite @Turborepo in Rust between 2023 and 2024. When you consider the opportunity cost on top of eng salaries, it actually cost several millions of dollars.

[Jeremiah Johnson 🌐 @JeremiahDJohns]

I think a lot of ambitious young people would be shocked how far ahead of your peers you can get just by doing the reading.

Remember how much we talked about Project 2025? How many people do you think *actually read it*. Like six? Maybe seven?

All you'd have to do is just sit down and commit to reading a long, boring document and you would have instantly become one of the ten most qualified experts in the country on Project 2025. There was literally nothing standing in your way.

AFAIK this is how @ezraklein got started, reading boring reports from the CBO or whoever that no other wonks would bother to read - and thus becoming smarter than 98% of the chattering class by default.

[Y Disassembler @loomdoop]

This is the first story I've seen, but probably first of many, where these robotaxis, which are rolling surveillance and data mining kiosks, are actually abducting people and handing them over to police.

[Paul Graham @paulg]

A Brown professor gave his students a take-home midterm exam. After suspecting many cheated using AI, he made the final in-person. The orange dots are the midterm scores and the gray dots are the final scores. Looks like all but 3 cheated on the midterm.

[Peter Gostev @petergostev]

My view of: Fable 5 vs GPT-5.6-Sol. They are not easy models to compare, these are my vibes - take them as you will.

My overall feel is that Fable is a 'wise owl' who is very thoughtful and very well spoken, GPT-5.6-Sol is like a rottweiler who will grab the problem by the throat and not let go until it is done.

In other words, Fable, is a fundamentally smarter model - even at low reasoning it can be very insightful and writes in a clear compelling way. GPT-5.6-Sol on the other hand is extremely diligent, I can give it a list of 8 things to do and you will be sure that they will be done.

Fable feels more arrogant to me, I was both to get it to build a new benchmark for me - 5.6 worked between 6 hours and 2 days (I tried several times) and it came up with very thoroughly tested, working benchmark. Fable came back within 40 minutes (twice) and the benchmark sounded smart, but was ultimately was 'vibe' based slop and since it was Fable's vibes that was doing the judging, it decided that it was good to go (it kept giving Fable 100% score btw).

Some thoughts by category:

UI & App building: Fable will still craft a better UI from scratch, the flow of the app would probably be a bit nicer. But I find that Fable often misses quite key things, which GPT-5.6-Sol doesn't. GPT's Frontend skills are big jump vs previous GPT models, but still not as great overall.

Writing: Fable is better hands down, Sol feels quite difficult to align to what I want to say or explain things to me simply. Though I think the 'Pro' model writes clearer.

Robustness & Reliability: This is where I think GPT-5.6-Sol wins for me hands down. Fable seems to do things of high quality, but I can never relax with it, it always misses something. With 5.6 this just almost never happens.

Other things where I liked GPT-5.6-Sol, but can't compare to Fable directly.
- Video editing is actually working now, it is not completely perfect, but with the right skill/guidance you can just give it 1h footage and it can give you a 5 min highlight clip no problem
- Computer use - getting really rather good, very usable
- Sub agents - it is very fluent at managing sub-agents and speaking to different threads, can help with some new workflows
- Adhering to existing code patterns - I love this, even without asking it would implement something in a way that aligns with you app - major problem for slop generation
- Research - I think it is getting quite a bit better, it still has some bad patterns (e.g being too tactical), but it feels like it is more steerable to be a good researcher
- Multi-day runs - the /goal feature is pretty insane with 5.6-Sol, you can run it for days if you wanted to and it does work. Useful to have another thread or /side to check up on it, but I have some great results with it
- Token efficiency - it is so much more token efficient and faster than 5.5, in reality it is now much faster than Fable too

On the downside, you can feel that Fable is naturally smarter, and I did have some baffling moments with 5.6 when I was getting it to make a fairly simple change in 8 turns - it seemed to get stuck in a dumb stream that was hard to get out of. So it is not AGI, don't get too carried away by the hype.

I have some phenomenal examples that I'm honestly blown away by that I'll share, but as a side anecdote, I have a kind of 'swear meter' which counts how often I'm rude to Codex. In GPT-5.5 era, the % was at around 4-5%, it dropped to 1-2% when I was testing GPT-5.6-Sol and it shot up to 7% when I went back to 5.5 - it was so shocking to go back to 5.5 and experience how much worse it was.

So is GPT-5.6-Sol better than Fable? On pure intelligence - no. But man, I missed it when I just wanted to get sh*t done. It is insanely capable workhorse that you can give any task to and just expect it to be done. No lectures or 'you are absolutely rightisms', nothing is beneath it, if it takes 2 days to do some dirty work, it will do it.

It feels like the first time in a while when we have quite different types of frontier intelligences that benchmark sort of similarly, but feel very different. If you can, you would be probably better off using both and iteratively finding what you'd use Fable or GPT-5.6-Sol for. Perhaps, something like - an architectural discussion with Fable, implementation with 5.6 and docs & comms with Fable.

[Mitchell Hashimoto @mitchellh]

Mind boggling to me that I can make a thing faster and there's always people that ask "but why?" What kind of mentality is that? The pursuit of excellence does not need justification. Also, I find in so many cases, we can't know the impact of an improvement until we do it.

For example, one I've talked about before: Ghostty's high IO throughput has enabled terminal program (emulator and TUI) fuzzing at a speed thats incomparably fast to prior solutions. This has resulted in upstream patches to resolve issues in popular projects like btop, tmux, and more.

Speed enabled that anecdotally example that lifted the tides of adjacent communities that don't rely on Ghostty technology at all. I didn't predict this.

Make things better because they can be better and let the results naturally play out.

[Weilin (William) Li @hklst4r]

The root cause of the @summerfinance_ Summer Protocol exploit was very simple: the attacker injected a “bad debt” vault asset into the Summer Vault.

I don’t think this was really a “smart contract-level” exploit. It was more of an accounting / valuation failure.

The core flow was only three steps:

Deposit a large amount of USDC into the Summer Vault.

“Donate” deprecated Morpho vault tokens to the Summer Vault — tokens the attacker acquired for far less than their paper value.

The Summer Vault valued the donated tokens at paper value, inflating the attacker’s share of the vault and allowing them to withdraw more than they deposited.

[michael hess @mchlhess]

House hunting in SF is going great

[Brian Anderson @BrianAcity]

Nassim Taleb has been saying the same thing about modern institutions for years. In Antifragile, he argues that nature never optimizes the way planners and metrics-obsessed managers do. Evolution keeps redundancy and optionality. Narrow optimization removes these things in the name of efficiency, which might seem better but creates systems that become fragile to shocks they can’t measure in advance. Local knowledge, judgment, and the messy tolerance for error that once allowed adaptation get treated as defects to be engineered away.

[z80.wei 👌☀️👌 @0xz80]

ENS is literally one of the few projects our industry has produced in the past 10 years that has actual PMF

and it could just run profitably on autopilot forever

why are they setting it on fire

[Adam.GPT @TheRealAdamG]

https://t.co/6W0odD9l8t

“What we assumed was one problem eventually turned out to be two unrelated bugs, coincidentally discovered at the same time.

First, silent hardware corruption on one Azure host, where the CPU just didn’t do math correctly.

Second, an 18-year-old race condition in GNU libunwind, an unnoticed bug in a widely used open source library.”

[Nate Silver @NateSilver538]

The extreme version of this suggestion is that, once the group stage is finished, you randomize which 1st, 2nd, and 3rd-place teams go into which slots. Ping-pong polls and everything, prime time show. Basically, today is the equivalent of Selection Sunday. Huge ratings.

[Grug 🪨 @grugcapital]

The best thing you can do to acquire valuable skills and improve your quality of life is a combination of zero shame & ruthless consistency. Ship that product when it’s half baked, pick up a new hobby, then iterate every day. Perfectionists are miserable people for a reason.

[James Rosen-Birch ⚖️🕊️ @provisionalidea]

ngl it’s kinda wild that China is the land of hypercapitalist competition fueled by open-weight models anyone can use, and America is the land where the executive branch of government must personally approve you to have the privilege of giving a private company your money

[Armin Ronacher ⇌ @mitsuhiko]

Europeans please wake up. https://t.co/vBIdm5ci9k