o.o

i'm building a fuel finder app on a borrowed 2015 macbook air with 4gb ram. it crashes. it restarts randomly. cursor takes a full minute to load. but i'm two tweaks away from deploying on the play store. your setup is not your ceiling.

the real reception is the stuff people are building this week that they couldn't last week. that's the metric.

@sama builders don't write reviews. they just go quiet and ship.

so fun to see the reception to 5.5! there is almost nothing that feels more gratifying to me than builders saying they find our tools useful.

@sama every company has principles until the tradeoffs get expensive

Our Principles: Democratization, Empowerment, Universal Prosperity, Resilience, and Adaptability openai.com/index/our-prin…

@LayrKits @skirano that's the thing. competence earns patience.

@clifcode @skirano And it doesn’t frustrate you with incompetence

I’ve found myself being much “nicer” to gpt 5.5, going out of my way to compliment the work in ways I never did before. It feels like working with a higher intelligence. I was never rude to other models, but caught myself being more aggressive in the past.

@garrytan the unsexy patches are always what makes the difference. polish compounds.

Just dropped v0.22.1 with more quality of life day to day bug fixes to make autopilot work properly

For GBrain I built a proper eval harness. 145 queries, Opus-generated corpus. The retrieval stack uses graph based, vector based and Grep based strategies in combination. The graph layer is worth +31 points on precision. Vector-only misses 170/261 correct answers that the full system finds. Keyword + vector + graph are three separable wins, each load-bearing. Standard information retrieval metrics: the same ones Google uses to measure search quality. Precision at 5: You ask a question, the system returns 5 results. How many of those 5 are actually useful? If 3 out of 5 are relevant, P@5 = 60%. It measures: am I wasting your time with junk results? Recall at 5: For a given question, there might be 3 pages in the entire brain that are genuinely relevant. If the system finds all 3 in its top 5, R@5 = 100%. If it only finds 1, R@5 = 33%. It measures: am I missing things you need? High precision = low noise. High recall = nothing slips through. GBrain's 97.9% R@5 means it almost never misses the right answer. The 49.1% P@5 means about half the results are relevant — which is good when you realize that for most queries there are only 1-2 right answers out of 17,888 pages, so 2.5 hits out of 5 is strong signal. Entity resolution is zero-LLM-call: regex extracts typed links (works_at, invested_in, founded) on every write. Re-embed on write not on a timer, so decay = stale pages, and stale pages get rewritten when new info lands. Scorecards: github.com/garrytan/gbrai…

@itisraivo 4GB teaches you things 16GB never will. you learn what actually matters when the machine forces you to choose

@clifcode for real, people saying even sixteen gigs is not enough for development, i have eight gigs and it is definedly usable as you have swap memory, four though is rough man

i'm building a fuel finder app on a borrowed 2015 macbook air with 4gb ram. it crashes. it restarts randomly. cursor takes a full minute to load. but i'm two tweaks away from deploying on the play store. your setup is not your ceiling.

@rwenzori_ installing the libraries was the hard part. the rest is just stackoverflow

After learning Pandas, Xarray, Numpy, seaborn and Matplotlib, I think now I'm a data scientist 😜

@Daviowhite goodluck! you couldn’t wait till monday?

Submitted Chalk for Apple Review, wish me luck

@Star_Knight12 AGI is when the AI can write 'excited to announce' without cringing

Claude is replacing Google, Stack Overflow, tutors, junior devs, and therapists. But not LinkedIn. The day Anthropic replaces LinkedIn, that's AGI.

@vitaliidodonov mornings are when the brain is selfish. give it the hard work before the world takes it.

I run a $30M ARR startup. My biggest hack is not taking any meetings before lunch. Mornings = for building. Afternoons = for people. A simple rule, but one that's made a huge difference.

@GENIC0N we spent so long training AI on the internet we forgot who dominated the internet

the funniest thing about Trump Derangement Syndrome will ultimately be mass media spending so much time and energy fixating on this one guy that his personality gets baked into the immortal artificial super intelligence at a fundamental level for billions of years

@ImpliedByLisa the talent was always there. the internet made it visible and the system still hasn’t caught up.

I am so convinced that there is so much talent in the world, and we're just not organized enough as a society.

@eventuallyright @BitcoinMagazine @TheBitcoinConf historically yes, BTC dominance drops and alts run. but this cycle's different because ETFs are absorbing BTC supply that used to rotate into alts. the rotation might be slower this time.

@BitcoinMagazine @TheBitcoinConf Do Bitcoin outflows lead to Alt coin inflows? Transparently, I don't know shit about how the technology or finance system of crypto works. The reason I am asking is because it seems like the Alts look ready for a run.

The world's largest Bitcoin conference starts tomorrow 👀 You are not prepared 🚀

@GENIC0N yet here we are, adapting in real time

@clifcode we did not evolve for this

I don't think it's an illusion that people appear to be getting more and more insane

@pmarca silicon valley spent 10 years speaking in metaphors and now they can't understand each other without a decoder ring

Overheard in Silicon Valley: "Have you tried listening literally, instead of allegorically."

@steipete the numbers look impressive until you realize half those PRs are agents closing what agents opened

Excited that GitHub shows real numbers here again. We been closing over 10k issues and close to 5k PRs this week thanks to clawsweeper and clownfish. Overall since December: 27k issues / 30k PRs closed.

@JonatasTech @thsottiaux haha 😹

@clifcode @thsottiaux and then we will go back to the age of stone programming

Looking at the traffic dashboard for Codex just now, it would be scary if we didn't have a lot more compute coming online in the coming weeks. All according to plan fortunately.