Beezress
37 posts

Beezress
@beezressee
"luck favors the prepared mind"

"physicians found fewer flaws in GPT-5.6 responses than physician-written responses."

Also, very exciting news! Another math problem (potentially) solved, this time, one posed by @littmath! Last wednesday in a last try with GPT-5.5 pro before 5.6 pro came out, I got an interesting partial on this problem. This prompted me the next day to use GPT 5.6 sol pro, which essentially autonomously worked through the remaining parts and managed to complete the solution by drawing on somewhat obscure techniques. I messaged Daniel with my findings and thoughts, particularly on the exposition and digestability to make sure this proof contributes something genuinely meaningful to the world. And, I believe this task is quite succesful. Though the main crux of the argument relies on these Raynaud bundles, nonetheless the connection is nontrivial and new in this specific application! The remaining work is now to digest the proof. As the subject expert Daniel had some great insights and feedback which I have tried hardest to include. It's my belief that this proof taught us about a new and exciting tool and angle to handle such problems! Particularly suprising to me is that with sufficient steering, the output of GPT-5.6 sol pro is remarkably incredible, and upon further inquiries, it seems to genuinely be able to present the underlying geometry of the problem and abstract from it to reason through the complete construction. Exciting times! I definitely see a very very clear improvement from GPT-5.5 pro in math, and it seems 10 times more trustworthy in its output, and its exposition in these proofs also improved a ton. #post-50" target="_blank" rel="nofollow noopener">problemsilike.com/forum/thread/1…





Yesterday, we made GPT-5.6 Sol Ultra generally available. Today, we're sharing that it produced a proof of the 50-year-old Cycle Double Cover Conjecture using 64 subagents in just under one hour. We're sharing the prompt and proof below. We're excited to see what you all do with Ultra!




@OfirPress This is mostly a matter of poor tooling and bad hyperparamter setups. A complex model can be as much as 10x more effective size if done without confounders. Era of dumb scaling is more over by the day imo





imagine getting acquired by @OpenAI, get unlimited AI tokens and still drop this slop abomination

We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer.



The author of the piece responds with “I am only stating a premise and suggesting what it implies.” My contention is that, no, the premise itself smuggles in the assumption of the conclusion. Let me try to give you a more concrete example. Take politics, and take a broad conception of politics. Not just what elected officials do but the art of collective persuasion, coalition-building, and related strategic effort that is embedded in every organization. The higher you rise in many professions, the likelier it is that you do politics of some form or another. This premise assumes that AI is superior to humans at every single aspect of politics. Not just coming up with political strategies or finding fulcra that might persuade specific individuals or groups, but instead executing those strategies. Actually building coalitions and persuading people itself. Not just writing speeches but delivering them (is this a coherent concept?). I submit that persuasive acts like this are not unilateral or intrinsic capabilities of the actor. The recipient of the message also has a say in whether the persuasion worked. This is why the same words, delivered by different messengers, can land differently. This is why, for example, many people on this very website who used to read my writing in a favorable way are now inclined to read it unfavorably after I announced I’d be joining OpenAI. Every single aspect of the messenger affects the message itself, or at least it affects how that message is received by others. To argue that AI would be better at every aspect of politics, then, is to assume a massive degree of institutional transformation. Many such transformations are possible, but the single likeliest one would be that the human role in deciding what organizations and societies do simply does not exist, or does not matter nearly as much. And if you believe that, it would almost be a necessity that the rule of law in general, and contractual grants of equity in particular, would not be honored, the latter being the actual thesis of the essay in question. So by saying “AI is better than humans at ALL labor,” you have in fact smuggled in what amounts to the author’s conclusion. And that is what my original tweet was saying. I stand by every aspect of it. Perhaps you believe this will happen! That’s fine. But as the writer, it’s incumbent upon you to persuade the reader of this from outside the bounds of the tautology. This essay fails in that regard, as does a great deal of other writing on this topic.


Lord, grant me the cajones to one day begin my essay: “Let’s start from this premise: I am correct. My conception of cognition, AI, labor markets, the economy, human beings, and the world is perfect, and things will go exactly as I expect. I can’t prove this, but…”









