Baron VonSnatch

56 posts

Baron VonSnatch

Baron VonSnatch

@Baron_VonSnatch

Striving to be intellectually honest.

NYC Katılım Temmuz 2024
7 Takip Edilen0 Takipçiler
sadfeqawsdef
sadfeqawsdef@sadfeqawsdef·
@Baron_VonSnatch @Chrisgpt 90% chance im talking to a bot at this point but LLMs dont actually do arithmetic they take educated pot shots based on data patterns that may or may not be correct, which is why they offshore it to a calculator tool
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Chris
Chris@Chrisgpt·
I’m so sick of Luddites talking about LLMs like they have any serious understanding of what is happening. Riddle me this, what search engine constructs a new infinite family in discrete geometry and refutes Erdős’s unit distance conjecture. How do these people still exist
Chris tweet media
Jim Stewartson, Decelerationist 🇨🇦🇺🇦🇺🇸@jimstewartson

I’m getting tired of “experts” like this misunderstanding what they’re looking at. LLMs are giant databases of stuff HUMAN BEINGS have done. They are the EXHAUST of humanity. Prompts are database queries into EXISTING DATA. It’s a fuzzy search engine, not intelligence.

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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@sadfeqawsdef @Chrisgpt Arithmetic is a form of both quantitative and deductive reasoning. Sentence construction is also a form of deductive and analogical reasoning. You would have to bend-over backwards to construe it otherwise.
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@realpeteyb123 Maybe you got lucky, but I see zombies literally dying in the streets on a daily basis on my short Manhattan commute.
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Peter B
Peter B@realpeteyb123·
Most people talking about New York City aren’t actually walking NYC. I’m born and raised here, and today I walked over 25,000 steps through Lower Manhattan. Brookfield Place, the Oculus, Battery Park, Financial District, World Trade Center, West Side Highway. I even took the subway because I wanted to see what’s really happening on the ground. First time in a couple of decades. And honestly? NYC felt safe. Clean. Busy. Alive. Almost Disneyland-ish again, like the Bloomberg era. This is not the de Blasio era people still have stuck in their heads. I’ve said before that if Mamdani wins, the first four years will probably be very bullish for NYC because that entire movement knows it cannot afford to fail publicly. Adams also deserves credit because the city did get safer coming out of the chaos. The crowd rushing in and pushing rents to new all time highs is a movement. We might not agree, but they are absolutely doing great. Maybe it starts failing in 4 years, but right now, New York is pumping. Real estate booming. Restaurants packed. Businesses overloaded with work. Gorgeous people everywhere. Energy everywhere. Everybody I know here with a legitimate business is busy and turning down jobs because demand is so strong. You can trust propaganda if you want. I trust my eyes and the miles I walk. What we do need is pressure and accountability so the city keeps improving and never slides backward again. Keep chimping out. But if you actually walk New York City instead of consuming narratives online, you can feel it immediately. New York City is back.
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Neo Kim
Neo Kim@systemdesignone·
SOFTWARE ENGINEERS ONLY Why are there zero successful vibe-coded apps?
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@francoisfleuret I have the same questions for people who say: "the future is humans managing teams of agents". Why would we think the human is still better at managing a team?
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François Fleuret
François Fleuret@francoisfleuret·
Serious take: The optimistic "AI will not replace humans for sophisticated reasonning problems, the best will be collaboration" has no rationale of any sort. If AI > Human, then \forall alpha > 0, AI > (1-alpha)*AI + alpha*Human
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@sadfeqawsdef @Chrisgpt Sure, but it still illustrates that they have the ability to produce novel outputs that didn't exist in their training data.
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@sadfeqawsdef @Chrisgpt Sure, using a calculator might be more effective in this example, but LLMs could perform arithmetic before tool use was even a thing. It just serves as a basic example of how they can function beyond being just a database.
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@HelmutKlaue @Chrisgpt When Google detects that your query is a math problem, it passes the query off to a calculator ("tool use"). LLMs can perform arithmetic on numbers they have never seen before without using a calculator. This illustrates their ability to function as more than a database.
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Jalein
Jalein@HelmutKlaue·
@Baron_VonSnatch @Chrisgpt Search engines don't need to check their database to do a calculation either what's your point?
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@360noclue @Chrisgpt This fact was true before tool use was ever implemented. Even early models could perform arithmetic on novel numbers.
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@Chrisgpt It isn't strange to come across people who misunderstand a new technology. The surprising part is the conviction they have in their unfounded belief.
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Chris
Chris@Chrisgpt·
One day AI will cure a disease. And many people in this platform will look you dead in the eye and say “the cure was already in the corpus of human knowledge and it’s not truly intelligent”
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@jimstewartson This is easily disproved with the simplest example. Give the LLM two large random numbers and ask it to add them. It will produce the correct result (with no tool use). So, did it "query it's database" for an example of those numbers being added together? 🙄
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Jim Stewartson, Decelerationist 🇨🇦🇺🇦🇺🇸
I’m getting tired of “experts” like this misunderstanding what they’re looking at. LLMs are giant databases of stuff HUMAN BEINGS have done. They are the EXHAUST of humanity. Prompts are database queries into EXISTING DATA. It’s a fuzzy search engine, not intelligence.
Daniel Lemire@lemire

I am getting tired of reading 'experts' like LeCun repeatedly claiming that our AIs are nowhere near human-level intelligence. Let us look at the evidence. US universities rank students based on standardized tests like the SAT. Current AIs achieve near-perfect SAT scores. They also beat tests like the GRE. A few years ago, it was notable when early ChatGPT scored ~120 on an IQ test, a common measure of human intelligence. An IQ of 120 is well above average. Current AIs reportedly have IQ scores similar to those of leading scientists. It is not just in tests. I can ask an AI to produce a science paper that looks undistinguishable from what a PhD level student could do. I just have to give it the data. Better yet, from a prompt, agents can run the experiments and collect the data, and then write the papers. Those of us who try to get work done with AI know what is possible. You can't possibly just say 'this is nowhere near human-level intelligence'. In software, good AIs show a greater mastery of, say, C++, than your average software engineering professor. You could just build a formal test to prove it. The difficulty is that the professors would refuse to take your tests. At this point point, someone will object 'yeah, but your AI can't do this simple thing that we can all do'. Fine. These AIs do not have *human* intelligence. They are very much not human beings. They are something like alien intelligence. They can code straight in assembly language, but have trouble counting characters in words. But that's the result of trade-offs. A dog or a monkey can solve some problems faster than you can. But let us be fair. As a species, these AIs have definitively 'human-level intelligence'. You can't spend decades setting up cognitive tests for human beings, have these AIs beat us in these tests and then say 'well, that's not real intelligence'. Come on !

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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@WallStreetApes I pass through that station daily. If you think it looks bad, wait till you smell it...
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Wall Street Apes
Wall Street Apes@WallStreetApes·
This is not a third world country or a Call of Duty zombies map This is Chambers Street subway station in New York City and yes, it’s open Trains stop here and New Yorkers travel through here every day America claims to be the richest country on earth but the money doesn’t go to infrastructure, our infrastructure is outdated and crumbling The money is laundered A country should invest heavily in its infrastructure for its citizens America does the opposite
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@morganlinton It's not the smartest model, or the fastest model, but I suspect it might have the best intelligence-to-speed ratio out there.
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Daniel Smidstrup
Daniel Smidstrup@DanielSmidstrup·
Tell me one thing you can do that CLAUDE cannot do yet
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@immasiddx I'm curious: do you have other comparable months before that? Could you graph it over time at least?
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sid
sid@immasiddx·
ChatGPT vs Claude weekly users. It’s not even close. 😭
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Thomas Basbøll
Thomas Basbøll@Inframethod·
"It’s entirely possible that Claude is, in fact, having conscious experiences of some sort." No it isn't. It's not complicated. The "hard" problems of philosophy simply don't apply. We know how Claude generates its output. It's entirely impossible that consciousness is involved.
Dr. Émile P. Torres (they/them)@xriskology

Is Richard Dawkins' recent article about AI consciousness silly? Yes. He seems to fall victim to the very cognitive tendency he claims gave rise to religion: a hyperactive agency detection device. BUT, the question of AI consciousness is complicated. I explain why here:

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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@GuyTalksFinance People have no clue what it takes to serve Google Search with up-to-date information in 180 different languages, to every corner of planet earth, lightning fast, for billions of people, no downtime ever.... List goes on.
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Finance Guy
Finance Guy@GuyTalksFinance·
“ChatGPT is going to replace Google”
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@AlexanderKalian I wonder though, across many examples, I would guess that the model would learn a 'shortcut' for predicting these outcomes in the form of arithmetic circuitry (essentially an ALU encoded in it's neurons). At which point, doesn't it graduate beyond statistical prediction?
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Dr Alexander D. Kalian
Dr Alexander D. Kalian@AlexanderKalian·
@Baron_VonSnatch Great question! What it "regurgitates" is not the exact sequences of tokens, but the patterns for how certain tokens relate to each other. It will have generally learned the patterns for arithmetic, regarding chains of numerical digits as tokens, given previous training data.
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Dr Alexander D. Kalian
Dr Alexander D. Kalian@AlexanderKalian·
I reject the idea that an AI can meaningfully self-improve into a "superintelligence". The AI will begin with knowledge gaps and blind spots. It will not understand these gaps well enough to reliably fix them in subsequent iterations. These limitations will likely compound over time, becoming more critical. AI has already been trained on essentially the entire internet and every dataset frontier labs could access. It's not clear it will encounter many situations that cleanly expose and resolve its persisting blind spots. As a result, we may end up with extremely powerful and expressive AI systems that are still fundamentally limited by human assumptions and gaps across many domains, in non-obvious ways to us. For example, an "AI superintelligence" might spend years throwing advanced analyses at the Collatz Conjecture, try every clever trick, and conclude it's likely unsolvable under current mathematics. Then, 20 years later, a human may create an entirely new field of mathematics (perhaps while working on string theory or fractals) that solves it in some wildly unintuitive way. Was the human "smarter" than the superintelligence? By definition, in some sense - which means it wasn't superintelligent. Frontier AI has still not cracked true human creativity and ingenuity, despite matching or exceeding humans in essay-writing, literature research, and similar tasks. Generative AI also remains heavily constrained by its training data and the nature of current algorithms - with a clear trade-off between creativity vs viability of outputs. Even the most powerful LLMs lack the spark that led Einstein to question whether time is relative, or Pasteur to suspect invisible "germs" were causing disease. These breakthroughs relied on fresh perspectives and extreme tail-end creativity, coupled with actually being rigidly competent in the domain knowledge and empirically correct. In comparison, current AI architectures are still just statistical regurgitation machines.
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Baron VonSnatch
Baron VonSnatch@Baron_VonSnatch·
@ns123abc The funny part is that $goog market cap rose by ~$72B when this announcement went out.
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NIK
NIK@ns123abc·
🚨BREAKING: GOOGLE COMMITS $40 BILLION INVESTMENT IN ANTHROPIC - $10B cash now at $350B valuation - $30B more if Anthropic hits performance targets - commits 5GW TPU compute over 5 years Google cloud makes more money on Anthropic API than on Gemini btw
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