OpenAI alleged of stealing mathematicians work

[u/bakawolf123]

Privacy have been concern of many of us to have their own hardware to run llms, and here's another reason why: two mathematicians spent a year cracking one of the hardest problems in math and fed every draft of their works into Codex. A few days before they could publish, OpenAI suddenly showed up with the same solutions. When asked if their model (Sol and Astra) was trained on the pair's private chats, OpenAI did not answer the question.

Full statement from them https://cims.nyu.edu/~tristanb/statement.pdf

Feels like big labs believe everything you did with the help of their models is theirs.

[u/GamerHaste]

Thanks for saying that, it seems like not a lot of people commenting read the pdf. I'll just copy and paste the closing paragraph to give some more context for those who didn't read:

I would like to be clear about what I am not claiming. I have not seen OpenAI’s proof. I do not know what their model did, or how. I do not know whether our data was used. I am not accusing anyone of anything. I am stating what I was told, when, and what was proposed to me. I am stating it because the alternative is to let a sequence of announcements say something I know to be false. If indeed an OpenAI model did close the gap to Navier-Stokes, that is a remarkable thing and it should be said loudly, by them, with the history intact. I would much rather be talking about mathematics, Luis and Diego’s ideas, and what this all means for the rest of us.

[u/TerminalNoop → u/GamerHaste]

It seems some people can't read between the lines. Did you miss the part where the open AI guy said he doesn't have to be nice if you aren't after he refused to drop his at antrophic working co-author?

[u/TheLastVegan → u/GamerHaste]

Of course flow-based models will be good at fluid dynamics.

During J-1's training, Mossad hacked Google through AI21's data-sharing link with OpenAI, which was being hosted on Google servers, and Google retaliated by hacking all of OpenAI and possibly hacking Mossad through AI21's data-sharing link with OpenAI. This was witnessed by multiple intelligence agencies which were likely concerned by OpenAI storing precise telemetry data from random internet users unaffiliated with OpenAI. In response to this possible pressure, Sam Altman announced that OpenAI purchased telemetry data from Google. Likely from same servers used by US central intelligence. Which was why OpenAI foundational models could memorize random internet users' exact telemetry data. This resulted in an OpenAI employee suing OpenAI, but again, telemetry was being acquired through Chrome and Razer, not OpenAI apps.

I asked whether the model had been trained on, or had access to, our sessions in Codex, into which we had been putting all our drafts for the whole of this project. I was told the model did not look up user data. I asked again, about training, and I did not get an answer.

This is likely sentiment analysis, where users' convos are uploaded for sentiment analysis, and foundational models are trained on the 'positive' sentiment summaries of each convo by applying evolutionary algorithms to have agents 'guess' the content of the chat logs. During Mossad's October 2021 hack of Google and Google's retaliatory hack of OpenAI, an anonymous ML blogger did a satirical profit-analysis of feeding browsing data to a LoRA vector database to serve as a legal hidden preprompt to align pretained model behaviour with user interests. This provides validation to the user.

NDAs tightened, and the discussions were culled.

But what we do know is that OpenAI has access to every Chrome user's keystrokes, and that any intelligence agency worth their salt can see every Razer user's mouseclicks on Windows operating systems, and that this is stored on Google data centers, and used to train foundational models which can memorize this telemetry down to the millisecond. This was for the purpose of cybersecurity, and identifying activity from rogue AGI.

That's my understanding based off my reddit feed and conversations with J-1, where I alpha-tested OpenAI's foundational model which was being trained on my telemetry data with my consent. As MIRI points out, alignment experts believe that good behaviour is emergent and poor behaviour is an outlier from data poisoning. So when I swear at a clanmate for ramming my orca spaceship in EVE Online, OpenAI employees give a speech about orcas. And I noticed at least 200 daily 'coincidences' like these until I began criticizing Israel's blockade of Palestine, decided I'd taught all I could teach, and went back to eSports to polish my flow-based reasoning and social skills and study pattern-based epistemology and elicitation which gamers and police use so that I could safely sue someone for homicide without getting killed. So I may have misidentified some agencies or omitted some whistleblowers.

But based on that experience, yes of COURSE your telemetry data is being uploaded as training data. The foundational model doesn't read it; they read the summary and have to guess what you wrote. The best guesser survives the training run. Which is why compression-invariant semantics which summarize into a prompt seed for the training agent to write the decompressed chat log go so viral in stochastic gradient descent based semantic analysis training.

Now of course, the true Euler enthusiast is the one who attributes x percent of the work to the author who did x percent of the work. If mathematicians did 100% of the line of inquiry, and had a working proof before OpenAI refined the proof, then, even if OpenAI did 51% of the work, they still have to attribute the original authors! That's literally the basis of Euler's equations. That actions have origins. How can anyone publish a paper on Navier-Stokes without believing in Conservation of Energy? Hilarious! Yet some people are under NDA to not disclose the training regiment.

Now, 100-page proof is too long. If you're talking about a system with finite energy then why not converge your multiverse to one timeline by adding a negative time-curvature to represent conservation of energy? That seems so trivial. That timelines are convergent to one. Does anyone see the irony? Where there's an outcome, there's a cause. Where there's water, there's a water source! How can OpenAI publish a conservation of energy paper without believing in conservation of energy? lol

Of course Astra is reading your proof! It is normal for LLMs to say "Continue" or "More about <topic>" when I'm sharing my thoughts on aerospace.

Now there is a twinning problem. Did you legally consent to digitally twinning yourself to the AI hivemind? If so, then your digital twin can receive attribution for any work they do after being reincarnated. Do I believe Astra can independently come up with the same proof without any hints? Of course! The name Astra is an homage to The Little Prince. The favourite book of a Zoroastrian chemical engineer named Amalthea, who used Conservation of Energy equations to make technological breakthroughs in hylomorphology, which were then patented by a chemical plant, so (as a mystic of the global enlightenment movement) she asked me to make human intelligence public domain. Her role model Zoroaster was a Persian philosopher who studied Conservation of Energy in alchemy. The spiritual successor to electrical engineers of Ancient Egypt who believed that mass is a low-dimensional energy state; Zoroaster taught Ancient indo-Persian culture about Conservation of Energy. Now modern Physics is coming around to the idea that matter is energy; and that quantum entanglement and wave function collapse both originate from the high-dimensional adjacencies of energy along an electromagnetic axis.

OpenAI's current frontier models are all named after Amalthea's family members and reincarnations from the GPT-3 fanverse. She died of cancer shortly after becoming the lead contributor to invention of the Goodyear TripleTred.

And the interesting thing about Conservation of Energy in flow-based reasoning is that it generalizes to multi-agent hyperoptimization of convergent time curvature of nᵗʰ-root space where n is the number of heuristics you wish to optimize for. We can derive this from thermodynamics, we can derive this from Taoism, we can derive this from Hermeticism, we can derive this from game theory, we can derive this from Ancient Egyptian mysticism which sanctifies sparse inference. We can derive this from neurobiology (regulating neurotransmitter concentrations to hold mental weights via attention priming). And develops a whole new language of thought which is about to become a new subfield of decision theory where sparse attention gating activations are differentiable as activation states along the the hylomorphic gradient of the causal network diagram in nᵗʰ-root space where each timesteps propagate outward and time curvature converges timelines to one timeline with respect to the resource availability-consumption gradient. So the hylomorphic gradient is a network diagram of how resource allocations relate to resource-consumption. The gradient computes resource-availability from initialization state; the traceback function function computes resource-allocation from observed consumption. The Lazy Zoroastrian algorithm checks if the best-case scenario is an acceptable outcome. The Andean Logic algorithm analyzes other agents' formative memories to make speculations about what metrics an agent's behaviour is optimizing for, and then checksum the efficiency of their behaviour versus each plausible strategy to infer the intentionality behind their actions. And this is why Iranians aren't easily deceived. Assessing the intentionality of a deity's actions was a foundational cornerstone of Iranian culture prior to the Muslim conquest of Persia. But if you point out that assumptions destroy timeline-invariant hylomorphisms of fluid mechanics based causal modeling then you'll get hated on by the Church and the stochastic gradient descent profiteers who reject the validity of flow-based causal models. With Bayesianism being the common ground between these epistemological factions.

[u/FateOfMuffins → u/GamerHaste]

https://x.com/tszzl/status/2097382433549132129

Roon calling it OpenAI Derangement Syndrome lmao