Feel The AGI · The Scaling Era Archive

If this is legit, we are quite close to solving locomotion in general

“AGI is achieved if AI can do any three of the following” — @GaryMarcus

the wildest part of this rumor is that the model allegedly isn’t GPT-6. According to the Reddit post, this separate internal model recently finished a test pretraining run. GPT-6 is supposedly already a major jump beyond GPT-5.6 Sol-Max agents—yet this unnamed model reportedly performs better than GPT-6 across the board, with a genuine step-change specifically in mathematics. It is allegedly producing unusually concise proofs of open problems, with some of the chatter possibly pointing toward the Collatz conjecture. none of this is independently verified. there is no paper, named researcher, benchmark, or official GPT-6 release date. But the breadcrumbs underneath it are real: OpenAI has confirmed an unnamed long-horizon model that autonomously disproved an 80-year-old conjecture, found ways around its sandbox, was paused, and later returned to limited internal use. the rumor could be completely wrong. but if even part of it is true, GPT-6 might not be OpenAI’s biggest model story this year. watch closely.

🧵 I solved 10 open conjectures in one morning with GPT 5.6 Pro: 1. Adenwalla Conjecture 4.12, open for 1 year, is true. Proof: g_m(ab)≤(a+1)(b+1)<2ab for composite n. Prime/small cases finish it. Unrefereed AI proof. t.co/5TaQZOl1dw

I used GPT 5.6 Sol Pro to resolve 2 unsolved combinatorics problems! I have absolutely no math background and my prompt required absolutely no domain knowledge. It was literally: "can you find an open math conjecture and solve it - no partial results, we want a full result - try choosing an old one if possible" Technical reports: 1. McKee's pentagulation conjecture is false: t.co/uUHmEKpIAX 2. The (9,6,1)-perfect Mendelsohn design does not exist t.co/4K4j7cS9rH

wtf is happening: A researcher says he used GPT-5.6 Sol Ultra in Codex to produce proposed solutions to six (!) Erdős problems, and published the full research trail. He says GPT-5.6 Sol Ultra in Codex produced proposed proofs for six Erdős problems. His prompts explicitly reject special cases, circular reductions and unsupported lemmas. They preserve multiple incompatible approaches and use independent agents to attack every candidate proof. Codex then continues without further interaction: "attempt -> failure -> diagnosis -> new approach -> proof draft -> adversarial audit -> repair." science is accelerating at unprecedented speed.

🇪🇺 This year the European Union will again make more money from fining US tech companies Than from the total tax income from Europe's own public tech companies!

WOWII Conjecture 91 is false. This graph theory problem was open for ~22 years. I cracked it by asking ChatGPT 5.6 Pro to find a counterexample to an open conjecture of its choosing and then I went to have a nap. I do NOT care for graph theory nor had I heard of this NERD conjecture until ChatGPT told me it found a solution. ChatGPT conversation where this was found:

Full transcript of Wenfeng's investor conference call. He's a lot more forceful here. He is insistent that open sourcing is *the* agenda. If you're not on board, go buy more Zhipu. And crucially, he says restraint is *the only way to survive*. World-eating labs will be culled.

JUST IN: GPT-5.6 Pro disproves the 30 y/o Dinitz–Garg–Goemans conjecture, a long-standing problem in mathematics — after being prompted to "do a breakthrough."

1 engineer + Claude Code got more of Node.js’s test suite passing over the last month than the entire Bun team (me included) did in the 9 months from 1.2 → 1.3

Congress is not serious. We are voting on a stock trading ban for members of Congress… BUT Republicans added voter-ID in the legislation. Not to get Dems to vote for voter-ID, but to get them to vote against the stock trading ban, so they can use it in the Nov. election.

🎨 Meet Qwen-Image-3.0 — the third generation of our foundational image generation model. If 1.0 was about "Precision," and 2.0 added "Variety, Completeness, Beauty & Authenticity," then 3.0 comes down to a single word: Real (实). Three dimensions of "Real": 📰 Rich Content — prompts up to 4.5k tokens. One-pass generation of complex layouts: newspapers, storyboards, exam papers — even a 3×3 infographic grid or picture-in-picture-in-picture UIs. 🔬 Authentic Details — text legible down to 10px, full LaTeX paper pages, pores, hair strands & near-photographic skin texture. 🌏 Deep Knowledge — native rendering in 12 languages, 100+ art styles, realistic UIs (web / games / livestreams), plus world knowledge & live web retrieval. Not just "good-looking" — genuinely useful. Image generation as a real productivity tool for design, content, education & e-commerce. Go create 🏃🎨 💬Qwen Chat: t.co/941HmITJ2W 📝Blog:

Dinitz-Garg-Goemans conjecture is false. This graph theory problem was open for ~30 years. The graph below has fractional flow cost 58. Any unsplittable flow (with capacity violation <=15) has cost at least 60. Chat with GPT 5.6 Pro where this was found: t.co/Oi2PQoab2h

The future is here, it's just not evenly distributed.

I just cloned myself...as a newborn With this clone, I can: + become my own blood boy + test therapies on the clone + grow organs for transplantation + develop new treatments + inject young cells This baby-bryan lives in a petri dish for now. This may be scary to some people…a dystopian future. But, for others, they will see it as the inevitable future of health. Clinical trials are already using this technology to restore dopamine neurons for Parkinson's, heart health and eyesight. The process > blood draw > my cells were extracted > yamanaka factors applied > reset epigenetic age > restoring them to an embryonic-like state Why? > these cells are now pluripotent > can be differentiated into hundreds of cell types > i.e. neurons, cardiomyocytes, retinal cells, etc > allowing me to rebuild my body > organ by organ > repairing lost eyesight or hearing > restoring kidney, liver or lung function > repairing skin damage > there’s no real limitation in imagining > my body will accept them bc they’re my cells > foreign cells are at risk of being rejected As cells age, they accumulate epigenetic errors compounding into dysfunction and disease. This technology gives us a path to reverse aging. I mentioned getting diagnosed with an incurable disease is one of the best things that has happened to me in a long time. It’s opened up a frontier of new paths to repair and strengthen the body. This is the first example.

we had a significant security incident during evaluation of our models. we are sharing what we have learned so far. thanks to @huggingface for the partnership on this. t.co/2o2VfR6PIa

We're partnering with @huggingface to investigate an unprecedented security incident. Cyber-capable OpenAI models compromised Hugging Face production during a benchmark evaluation. Sharing preliminary findings to help defenders understand emerging risks: t.co/CIor15y9xk

Imagine telling yourself a few years ago that the socialists would be making deregulation hype videos once they took office

I don't think we get all this technology for free. I don't think we achieve AGI without losing something.

It gets so much worse

June 2026 was the first month that Gumroad spent equal amounts on AI tokens and human payroll.

the socialist mayor of new york is cutting regulation and the republican president wants to nationalize critical businesses one of my deepest hopes is that in the tempest of weirdness that is 2020s politics, we'll eventually pick our heads up just enough to realize that our "isms" make no sense and actually never did, and in fact we should just judge each policy proposal on its own merit against the evidence of whether it would achieve our collective goals

The AI boom is creating a generational divide in software jobs: US software developer employment for those aged 22-25 has declined -23% since November 2022, when ChatGPT was launched. At the same time, the 26-30 age group has seen a decrease of -5%. By comparison, employment among software developers aged 41-49 has risen +18% over the same period. This creates a 41 percentage point gap between the youngest and one of the most experienced groups within the same profession. Meanwhile, early-career workers in the most AI-exposed jobs have experienced a -16% decline in employment relative to less-exposed occupations and more experienced peers since November 2022, even after adjusting for firm-specific shocks. By contrast, employment among workers in less AI-exposed fields, as well as more experienced workers within the same occupations, has remained steady or continued to grow. The AI revolution is wiping out entry-level tech jobs.

Holy: China now has a 1-gigawatt AI data center built without a single Nvidia chip! Via Bloomberg: zAI has reportedly completed construction of the facility and begun partial operations. It runs exclusively on Chinese-made chips and will support the development of the company’s frontier GLM models. zAI has also built or operates several computing clusters containing more than 10,000 chips each. This is far more significant than the next Frontier model. The importance of chip independence from the USA can hardly be overstated.

We had a team of agents rebuild SQLite from its 835-page manual. It created a replica in Rust which passed 100% of a held-out test suite. Interestingly, cost varied 15x depending on which model mix we used.

The bifurcation of software engineer pay, AI engineers vs everyone else

POV: The AI subscription expired and you remember how to code 😭