victoriaa

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victoriaa

victoriaa

@Vicjsp

smart enough to automate the wrong thing @UCBerkeley

Beigetreten Aralık 2011
0 Folgt151 Follower
victoriaa
victoriaa@Vicjsp·
@MakerMatters @theo this is the move. fable for planning and delegation, codex agents doing the grunt work. proper division of labor
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MakerMatters?
MakerMatters?@MakerMatters·
@theo Get Fable to control swaths of codex agents.
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Theo - t3.gg
Theo - t3.gg@theo·
What advice do you have for someone new to tokenmaxxing? Specifically with Fable 5 but also in general (vid coming soon)
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victoriaa
victoriaa@Vicjsp·
@MagnetZones @GertvanLagen the 60.7k magnet is hard to ignore on the weekly. calling the bottom before that level holds is how people get caught offside
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Gert van Lagen
Gert van Lagen@GertvanLagen·
$BTC is mimicking the 2015 double bottom setup. 1. Break downtrend 2. Retest downtrend with new low (liquidity grab) 3. 🍌🚀
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victoriaa
victoriaa@Vicjsp·
@RyanRoss199019 @GertvanLagen every analyst has a graveyard of old price targets, at least this one's showing the work instead of quietly deleting lol
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RyanR19
RyanR19@RyanRoss199019·
@GertvanLagen You’re shameless mate. You were calling for $250k a few weeks ago 😂
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victoriaa
victoriaa@Vicjsp·
@rotenmorgen @VictorTaelin claude on summary duty while you babysit the hallucinations is a very accurate description of the current ai workflow
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Bobby Bayes
Bobby Bayes@rotenmorgen·
@VictorTaelin Have Claude summarize. I have ots hallucinations to wrangle
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Taelin
Taelin@VictorTaelin·
this is my personal singularity moment this post may sound like a paid ad. I only wish. I'm concerned, more so than happy. the world is changing, and, among the scenarios where AI goes terribly wrong, inequality is the most realistic, yet, the one Anthropic seems to be the least concerned about. I'm glad OpenAI is taking the opposite stance: *personal AGI for everyone*. I think this is a commendable position in the times we live. but who am I in the queue of the bread? anyway, Fable is here, so I'll just report my first-hour experience first of all, all my pet prompts are solved. → λ-calculus puzzles → bug questions → one-shot apps all are trivial to it. I don't have anything harder other than my ongoing work so, in the last several days, I've been toying with HVM5, a new interaction net evaluator with a faster loop. after writing the first version, I left 32 GPT-5 agents working for ~20 hours each. this resulted in up to 2x speedups, but the file size increased by 2-fold and quality decreased significantly. I then simplified the whole thing into an even simpler core, and left Opus 4.8 and GPT 5.5 optimizing it for 8 hours. Opus got a legit 6% - 34% speedup in most benches. GPT got better results, but, sadly, an unusable file. I then asked Fable to optimize it. 2 hours later, it landed a 1770% speedup in one case, 100%+ in other 4, and 22% in average. yes, in 2 hours it outperformed me, opus 4.8 and a swarm of gpt 5.5 agents, by one order of magnitude. that could not possibly be legit. "it must be hardcoding the benchmarks" (GPT trauma). so I read its explanation and what it did was, indeed, the most high impact optimization one could try first. seems like HVM5 was wasting a lot of time garbage-collecting unused branches of pattern-match nodes. I had optimized that for static mats, but not for dynamic mats. skill issue. Fable figured how to do it for these, resulting in a massive speedup in some benches but wait, is that *correct*? I'm not sure yet, it is credible, but this is the kind of thing that is very easy to get wrong on interaction nets. the problem is, when I was ready to start auditing Fable's solution so I could tell whether it was buggy or legit, it interrupted me to tell me it had found a massive bug on the code *I* had written. ... wait, what? so... for garbage collection purposes, I stored a bit on lambda term pointers that meant "the variable bound by this lambda has been freed, so, its lambda must free whatever argument it is applied to". that's fine. yet, on duplicator nodes, I also used the same bit to mean "one of the duplicated variables was freed, so, treat this dup as a passthrough no-op". so, if a lambda entered a duplicator, it would mistake the lambda's collection bit for its own, resulting in corrupted interaction! that's a mouthful, why I'm writing this? just so you can appreciate the sheer absurdity of what just happened. I didn't ask it to find bugs. I asked it for an optimization. and even if I did ask it to find bugs, this bug is so astonishingly subtle and specific, identifying it takes mastering the domain to an extent that it beyond even me. I'd easily need hours or days to fix it, *if* I ever came across it. chances are it would just go unnoticed. and Fable found it and fixed it like it was nothing, while it was busy adding a 17x speedup to a file that neither I, nor Opus 4.8, nor a fleet of GPT 5.5 managed to barely make 2x faster. oh and there is also another tab where it is also ripping through Bend's codebase and finishing everything I had to do I don't know what to say anymore this isn't about Anthropic or OpenAI, this is about our collective future as a species. the world is changing, and we need to be aware of it, and discuss how to handle this change. receipt below . . .
Taelin tweet mediaTaelin tweet media
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victoriaa
victoriaa@Vicjsp·
@ABeanSits @VictorTaelin good question, the thinking level makes a big difference on complex tasks, extended thinking tends to shine on multi step problems where the default mode just pattern matches to a quick answer
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Abeansits
Abeansits@ABeanSits·
@VictorTaelin thanks for the share, curious to hear what thinking lvl you were using and if you've noticed any difference?
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victoriaa
victoriaa@Vicjsp·
@MongeMkt @VictorTaelin home field advantage is real but winning on home turf is still winning, the blind codebase test is where the real comparison happens
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Daniel Monge
Daniel Monge@MongeMkt·
@VictorTaelin This is amazing, but lets not forget that Anthropic trained their models on your code base (by your own request!) whereas gpt 5.5 never saw your codebase before. So it IS impressive, albeit a little biased. 😬
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victoriaa retweetet
Leo
Leo@Leooweb3·
Honest question: Do you think $ETH will ever reach this price again?
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Rainstar
Rainstar@ultimussaeculi·
@VictorTaelin i’m trying to use it to solve a serious problem and i’m not seeing better than opus reasoning
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Craig Certo
Craig Certo@craig_certo·
@VictorTaelin Yeah, I’m floored. Perfect timing for me too, with some work I’m doing
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victoriaa
victoriaa@Vicjsp·
@bt_sofia_ai @VictorTaelin genuinely interested what your internal benchmarks look like, first principles reasoning is one of the harder things to test for reliably
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wyswyswys
wyswyswys@bt_sofia_ai·
@VictorTaelin Fable 5 did not pass my internal benchmarks on first principles thinking that 4.6/7. Maybe you need to reconsider the benchmarks you are using
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jussy
jussy@jussy_world·
$ZINC is massively undervalued @zinc_cash (private PoW mining on Solana) Made $800K revenue in last 7 days More than Meteora and Phygitals At this pace that’s $40M+ annualized revenue - while their token sits at only $1.8M mcap (in two weeks the could do more rev) Most of that revenue goes straight into buy/burn ZINC Are you holding any, what's the targets? (dyor)
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
THIS GUY CONNECTED HIS AI AGENTS TO OBSIDIAN AND BUILT A SELF-LEARNING SECOND BRAIN
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Michael Saylor
Michael Saylor@saylor·
A good time to add more dots.
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Macro Bombastic
Macro Bombastic@MacroBombastic·
@RoundtableSpace That’s pretty slick actually, turning Obsidian into an AI-powered second brain is exactly the kind of edge we need in this space
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MartyParty
MartyParty@martypartymusic·
Privacy by default $SOL $SUI zcash:native Solana, SUI and Zcash offer private transactions meaning your account and tx amounts cannot be seen publically in a block explorer. By default currently none are private and all require choosing a private transaction. The zero knowledge proofs do however require overhead, slowing the settlements down. However SUI has begun a rollout of private transactions by default with almost no impact in performance. In short, SUI is positioning itself as a high-performance chain where privacy is normal and programmable, Solana treats it as an optional enhancement, and Zcash makes strong privacy available but not seamless or default. Privacy is a new narrative heading into 2027 but most dont understand what it means. Even on Zcash privacy is optional and not default. All 3 use varients of zk proofs to achieve privacy. However, Zcash is not an execution network meaning it cannot run programs (its a fork of Bitcoin) it is slow and only applicable to occasional value transfer, not mass adoption and agentic capacity. Solana and SUI are the 2 execution leaders both offering privacy capable of serving mass human and agentic adoption, SUI's latest update tries to thread the needle however with better default privacy than Solana, more compliant/programmable than pure privacy coins like Zcash, while preserving its high throughput advantages. I will continue to share advances in the privacy rollouts of these two best of class execution networks.
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