dxjones (@dxjones) profile picture

Computational Expert, Entrepreneur, Visual Neuroscientist, Algorithmic Artist

Joined January 2008
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dxjones retweeted
Rejection of Alberta separatism was Trump's first midterm defeat
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Yann LeCun: We’re not going to reach human-level intelligence or AGI simply by scaling LLMs. “There’s absolutely no way in hell.” “The idea that we’re going to have a data center full of geniuses is complete BS.” “It might feel like you have a PhD sitting right beside you.” “But that’s not what it is.” “It’s a system with enormous memory and retrieval capabilities not a system that can genuinely come up with solutions to problems it has never seen before.”
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“The Hugging Face incident is the responsibility of OpenAI management, not a bunch of agents.” I’m pretty sure there is already plenty of legal liability for any misuse of AI agents. Deliberately crashing a Boeing into the WTC, whose fault is it? What actually happened is simple: Sam & Dario built zero-switching-cost, zero-moat companies, and they know it. With enormous burn rates and IPOs ahead, they need a more credible equity story to support a trillion valuation each. If tech doesn’t provide one, regulation may can. So they tried to push regulators to build the moat for them. Luckily, Bessent isn’t taking the bait. The rest is noise.
Scott Bessent makes it clear the Trump Administration will not take model liability off the hands of the AI labs:
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“Why do you need the government to stop AI progress inside your private company when you are the CEO of the company already?”
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BREAKING: OpenAI might have stolen another major proof. In a detailed Mastodon post, which I report in full in the comments, Andreas Thom presents several pieces of evidence suggesting that OpenAI may have trained Astra on conversations in which he and Gábor Kun were working on Gromov’s soficity conjecture, one of the ten problems OpenAI later announced Astra had solved. I know Andreas. We met several times early in our careers. He is an exceptional mathematician, a leading expert on sofic and hyperlinear groups, and one of the most respected scholars in the field. He has spent two decades working on this problem. If his account is correct, this is not a minor dispute over attribution. It would mean that unpublished human work was absorbed into a model and then presented to the world as a breakthrough by the model itself. And if the allegations raised by Levent Alpöge, Tristan Buckmaster, and now Andreas Thom are all substantiated, we are no longer looking at isolated incidents. We may be looking at one of the greatest intellectual scandals in the history of science. AI is not discovering new mathematics. AI is stealing human discovery.
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This is the textbook definition of a Greek gift. On the surface, OpenAI generously grants 10,000 top-tier mathematicians and elite engineers free access to their frontier models under the noble, philanthropic banner of accelerating scientific discovery, pushing the boundaries of human knowledge, and democratizing artificial intelligence. But deep down in the cold reality of Silicon Valley capitalism, what they are actually doing is executing a massive, highly sophisticated intellectual heist. They are quietly gaining unrestricted, backdoor access to the raw, unfiltered, and unpublished works of the absolute finest minds in the global scientific community. Every single complex prompt, every mathematical query, every theoretical framework, and every line of experimental code fed into that system is a novel, groundbreaking idea that does not even exist yet in published academic literature or peer-reviewed journals. OpenAI does not just provide a helpful service. Their corporate algorithms sit quietly behind the scenes, aggressively monitoring all chat logs, scraping the intellectual property, analyzing the logical steps, and meticulously piecing together these fragmented, brilliant ideas over several months. And just when the human researcher is finally on the absolute brink of putting everything together, OpenAI will ruthlessly assemble a digital army of 10,000 autonomous AI agents, burn $20 million worth of computational tokens, and brute-force the final mathematical steps. Then, with the backing of their massive PR machine, corporate journalists, and tech influencers, they will proudly hold a press conference to claim that their proprietary chatbot has miraculously solved a Millennium Prize problem, completely, shamelessly erasing the human genius they systematically strip-mined to achieve it.
We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines.
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dxjones retweeted
babe wake up, new term just dropped
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dxjones retweeted
Head stabilisation of a kestrel.
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dxjones retweeted
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Not those two knuckleheads! No wonder Troy fell!
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I was studying MCPs and this comment really blew my mind.
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dxjones retweeted
Best feeling 😌
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Academic peer review in a nutshell 😅
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I wrote a document describing how Fil-C's `longjmp`, `setjmp`, `setcontext`, `getcontext`, `makecontext`, and `swapcontext` implementations work while maintaining all of the memory safety guarantees fil-c.org/context_switches
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Biggest goal in Canadian men’s soccer history 🇨🇦🇨🇦🇨🇦
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CANADA WINS IT IN THE 91ST MINUTE 🇨🇦
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OpenTamer is a local macOS menu bar utility for finding and controlling apps that are using too much CPU. It is a Go app with no third-party dependencies, using small C bindings for the macOS UI components. #golang github.com/Digital-Shane/Ope…
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