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Peter Welinder
@npew
Devices @OpenAI
981 Following    46.1K Followers
GPT-6 Astra got +80% on a Physics benchmark. It insisted the expert results were wrong and its calculations were right. A team checked. And yes. GPT-6 Astra was right. New score: 98%
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Sol completes the tasks less than 5 percentage points off Opus, but at less than a tenth of the cost!! $0.80 vs $10.53. Incredible performance from @openai 💪
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Regulated scarcity.
These NYC apartments are standing empty, not because the owners don't want to rent them, but because rent stabilization laws prohibit them from charging enough to earn back the costs of necessary repairs. My latest for @WSJFreeEx
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This is the first time I've actually preferred with drive as Codex as main and Claude as secondary for an extended period of time. Amazing how good Sol 6.1 is!
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🌶️ fixed it only a fool would say AI is *creating* vulnerabilities faster than ever... the vulnerabilities were there already this is a chart about us *fixing* vulnerabilities faster than ever before... it's a chart about the internet becoming secure.
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I’m with Team Humanity. We’re building tools to empower us humans to realize our dreams.
OpenAI’s math release is, in the words of Opus, “the single most consequential mathematical release ever” * LLMs have how made substantial progress on 4 of 7 Millenium Prize problems: Navier-Stokes (claimed), Riemann, Hodge and Birch-Swinnerton-Dyer. Poincaré was solved in 2003. The two left are P v NP and Yang Mills. *conditional on verification On average, each OpenAI result used only 3hrs of thinking compute on their new unreleased models. Two years ago, models said 9.11 > 9.9. Today, we have results that the smartest human minds have not been able to achieve in their entire lives. It is clear that data, compute and algorithms scale. Every model generation (3mos) has made substantial intelligence progress. It also becomes incredibly hard to not believe that all knowledge work will change monumentally over time. The things AI can not do in the foreseeable future are very likely context-bound (don’t have access to the right information) than intelligence bound. Some might argue they are also creativity-bound or judgement-bound (what should I work on), although it can be argued that future generations could solve for this (given, say, the advancement in research taste for models over time). AGI is defined as surpassing human capabilities on virtually all cognitive tasks. By most interpretations of that definition, we are there. The domains humans are still better than AI, such as, robotics / physical world control (data-bound?), natural science research (data-bound), some creative domains like writing, movies, music (creativity-bound), super long tasks (context-bound), choosing problems to solve (creativity-bound) and maybe human relationships management (meat-proxy bound?). In many ways, we have achieved AGI.
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I miss the time when Apple products just worked.
Muse is extremely user-friendly, Claude is very smart and has great design taste, but in my experience for research tasks ChatGPT smokes them both.
I just called Chungus (my OpenAI Dot) on the phone while picking up mexican food and asked it to transfer some Rex benchmarks from last night on my Mac Studio to my MacBook Pro via Tailscale and I just got to my desk and there they are. What a fucking time to be alive.
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Gesture recognition using the Decisions API by @OpenAIDevs. Thanks to it's vision understanding it is way more accurate than my previous Jev-based demo. It was also faster. cc @thsottiaux @jxnlco @pvncher @tldraw @steveruizok
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We can reindustrialize America around high-scale manufacturing, superintelligence, and robotics. We can be a nation made solvent through taxing exports, not taxing its citizens. We can eradicate most diseases, energy shortages, hunger, housing insecurity, and violent crime.
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Best growth and prosperity strategy for countries: cheap energy, high-skill immigration, and don’t over-regulate. Pretty simple.
So much worry about China sprinting ahead on foundation models. I would assume China doesn't want their own models hacking into their systems either. In other words, once you hit the frontier, you have no choice but to be careful and focus on safety.
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gpt-6.1 sol has saturated the FrontierMath Tier 4 benchmark that was considered exceptionally difficult even for research-level math just last year that's only 10 months of progress also Astra solved 5 erdős problems, and 2 of them under budget
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Just this morning, needles and other drug paraphernalia reported next to Marshall Elementary. "A couple weeks ago, a first grader reached through the fence surrounding the recess yard and grabbed a bloody hypothermic needle. He passed it around to four other children before it was caught."
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wowi GPT-6.1 Sol scores 100% at FrontierMeth Tier 4 v2; shoutout to @AcerFur xoxo
Astra reveals previously unknown history
I used GPT-6 Astra to break an unsolved cipher to one of Napoleon's generals that had gone unread for 217 years. What makes this impressive isn't actually the codebreaking, but that Astra completed the entire multi-modal workflow in ~6 hours from a single image and goal. 1/6🧵
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