r/accelerate

Sam Altman just teased "GPT-5.6 discovering new math," and AcerFur seems to be pointing in the same direction.

For people who don’t know him: AcerFur is Kevin Barreto, a Cambridge pure math student who has been directly involved in recent AI-math breakthroughs, including work around Erdős problems, Lean-formalized proofs, and AI-assisted number theory. He operated the GPT-5.2 Pro + Aristotle setup behind Erdős Problem #728, described as the first Erdős problem regarded as fully resolved autonomously by AI, and he has also appeared on serious math papers with names like Terence Tao.

So when he says GPT-5.6 is a meaningful jump in math, it’s not just random hype. It’s coming from someone who has actually been testing these models at the frontier.

Sources : [1] [2] [3]

The BMW Group said it gained important experience with humanoid robots at Plant Spartanburg in 2025. Figure 02 supported the production of more than 30,000 BMW X3 vehicles. In the body shop, the robot inserted sheet-metal parts for the welding process, a task that demands high speed and accuracy and that can be physically demanding.

“Our 11-month deployment of Figure 02 proved that humanoids are no longer lab experiments — they can be a valuable asset in establishing a flexible, reliable manufacturing workforce,” stated Brett Adcock, founder and CEO of Figure AI. “We are excited to continue our work in Spartanburg as Figure tackles the complexity of the assembly and logistics hall.”

https://youtu.be/Eu5mYMavctM?is=kDPp80bhnOhexGFR

The automaker last week announced that, following its successful deployment with Figure 02 at its plant in Spartanburg, S.C., it will deploy the company’s latest Figure 03 robot.

“The robot introduces several new features for expanded applications. These include soft components designed for enhanced safety, wireless charging designed for higher availability, and audio functions for speech-to-speech communication, along with improved hands with tactile sensors and palm cameras designed to increase precision and dexterity."

https://www.therobotreport.com/bmw-group-deploys-figure-03-humanoid-after-tests-previous-version/

Source

The staff tried to close it and got kicked Dick

I asked Claude to solve the inconsistent scheduler and performance issue of the new MacOS 27 developer beta.

One day later, somehow I can now take complete control from kernel CPMS and manually assign thermal budget/power target for my M4 Max GPU, amazing times.

Core code https://gist.github.com/andrew-kramer-inno/f7e8449b521b7435e91c92ae6b3ae6d8
You will need a host injection with correct entitlement to achieve it.

— @joko.prabuwesi

Source: https://www.tiktok.com/@joko.prabuwesi

As with all of tech: https://importai.substack.com?utm_source=navbar&utm_medium=web

[Original paper: https://dx.doi.org/10.2139/ssrn.6875838 ]

“History does not support complacency about the future impacts of AI”, he writes. “Throughout history, optimists have often been wrong about the social ramifications of new technologies or the strategic benefits of building new weapons. Skeptics have often underestimated the likelihood of novel innovations and their impacts on humanity.”

"Many of the world’s experts (e.g., Albert Einstein, Niels Bohr, Robert Oppenheimer) were skeptical that nuclear fission could be achieved in the years immediately prior to it being achieved. Nobel-Prize-winning economist Paul Krugman once said the impact of the internet would be no greater than that of the fax machine. Technologists thought the internet would ultimately be a technology that promoted democracy rather than strengthened autocracies. And despite mounting decades of evidence, many human scientists either rejected human-caused climate change or significantly underestimated its effects."

> ...Google as the world’s leading video generation lab, with a leap of 7 positions from their Veo series. Congratulations to the @GoogleDeepMind team on this accomplishment! >   >   > — Design Arena

Source: https://x.com/Designarena/status/2072759122366509130

The system narrowed its search to 68,000 promising candidates, with 4 ultimately synthesized and experimentally confirmed as superconductors.

The AI combines a 1 billion parameter materials foundation model trained on 125 million molecular and crystal structures with an autonomous research agent capable of reading scientific literature, evaluating synthesis feasibility, and planning discovery workflows.

> ComfyUI @ComfyUI · Jul 4 Comfy Cloud: Run ComfyUI online | Zero Setup, Powerful GPUs, Create anywhere From cloud.comfy.org 7 2.6K >   >   > — ComfyUI

Source: https://x.com/ComfyUI/status/2073059371723198725

— @husk.irl

Source: https://www.instagram.com/reels/DaWOY7OhWIL/

This chart is often used to argue that machines do not replace jobs, because bank teller numbers grew even after ATMs were introduced.

But somehow, it is almost always shown without per-capita numbers.

So I added them.

> Fable 5 is back and we’ve got results for the re-released version on APEX-SWE. > > While it did not perform as well as its earlier version from June, the model still significantly outperforms Opus 4.8. > > Fable 5 (June): 65.5% Pass@1 > Fable 5 (July): 54.8% Pass@1 > Opus 4.8: 45.3% Pass@1 > > This re-release scored about 10 points below the original Fable 5, however it still beat Opus 4.8 by more than 9 points. >   >   > APEX-SWE evaluates AI models across two different areas of software engineering work, Integration and Observability. > > Here is how the Fable 5 re-release performed in both areas compared to the June release. > > Integration > Fable 5 (June): 61.33% > Fable 5 (July): 59.33% > > Observability >   >   > — Mercor

Source: https://x.com/mercor_ai/status/2073080728074727485