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David Petrou
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David Petrou
@dpetrou
Founder & CEO @ContinuaAI | ex-Google Distinguished Software Engineer | Building https://t.co/aPhJd9xofD: Solve coding to solve everything.
Brooklyn, NY Katılım Nisan 2007
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@badlogicgames @juliarturc , do you know? Couple quick things: we've gotten very nice results on a hebbian inspired approach (no fine tuning) I'll blog about soon. Secondly, there are lots of non open ai options for qlora.
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on memory/continual learning, he's very clear that that will be an app level thing, not a model thing, because it's not practical, economical or even possible to fine tune per user models.
i think we'll find a lot of other limitations that can never be solved in the model layer, simply because we've kinda painted ourselves into an architectural corner with transformers. which is why i think transformers will be a primitive within AGI systems, but are very unlikely to be the sole thing giving us AGI.
on a more positive note, that means there's ample opportunity for folks outside the big labs to innovate and create systems that are more than just a chatbox hooked up to a model.
it also means, that a lot of this work will basically be relearning all the things from information retrieval ca. 2000s, and combining that with new methods. same for ensemble techniques, etc.
a certain CEO at chroma is gonna like this tweet :)
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@MattBruenig @bigblackjacobin @Noahpinion The math/cs is nice. But yah, we need a psychological post-mortem on this collective delusion.
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@Noahpinion It’s sad that Silicon Valley seemed to spend a decade on blockchain and crypto which was totally useless outside of crime facilitation
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It wasn't just crypto. A big factor was post-2020 DEI at tech companies, which previously had been the most meritocratic of industries.
Paul Graham@paulg
Warren's war on crypto was a pure own-goal by the Democrats. It achieved nothing, and it cost them enormously by alienating a large fraction of a powerful group who'd previously supported them. Look at the change from 2020 to 2024.
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David Petrou retweetledi

@tunguz Until it can make an x11rc file or .xsession, it's not agi.
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I am remembering right now for my own sanity. There is so much peace in deep thought instead of some insane frenetic agent orchestration fever dream

Greg Brockman@gdb
trying to remember what it was like to code before codex
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Earlier this year I was getting frustrated with Claude's charts, fed this book to claude and had it generate a Tufte skill. Instantly got simpler/more beautiful visualizations.
gist.github.com/aparente/e48c3…
Anjney Midha@AnjneyMidha
if you run an ai lab, pls ensure your team has read this before putting any charts out into the world
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@willmcgugan @AnthropicAI hey, the kids find mp3's good enough, ... so...
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My concern for the AI era, or at least this phase of it, is that a generation is being taught that "close enough" is just fine.
Take @AnthropicAI for example. Text wrapping in Claude Code has been broken for weeks. Superfluous spaces appear on the left edge. One engineer to another: you know its an out by one error.
I refused to believe that nobody has noticed this. The shtick they are selling is that AI can fix this kind of thing. Either they tried to prompt a fix, and Claude ain't good enough to fix an out-by-one error. Or they haven't attempted it because it is "close enough".
It can't be the case that AI is only good enough if we lower our standards. It can't.
I'm well aware I have both feet firmly planted in my "grumpy old man" phase of life...

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@HedgieMarkets or self-hosted / at-edge models become good enough.
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🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.
My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.
This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.
Hedgie🤗

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@FredKSchott coming late to this post -- agreed on the security posture and the big unlock w/ sandboxen.
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@mitsuhiko subscription. will do next it happens -- thanks. and sorry for using twitter as support.
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@dpetrou Can you share a broken session with me? (/share, use pi -r to resume one first)
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@mitsuhiko , this, usually followed by websockets issue, is happening more and more for me on pi (using gpt-5.5 high), and /compact doesn't fix it. having to start fresh pi sessions and reconstruct state to unbork it.
```
Error: Codex error: {"type":"error","error":{"type":"invalid_request_error","code":"context_length_exceeded","message":"Your input exceeds the context window of this model. Please adjust
your input and try again.","param":"input"},"sequence_number":2}
```
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