Qwen3.8-Flash-Next has been officially released, introducing a 6B-active open model that surpasses Claude Opus 4.6 Max on eight out of nine standard benchmarks.

The model applies a highly sparse Mixture of Experts (MoE) framework, featuring 125 billion overall parameters and 51 billion n-gram embeddings, with just 6 billion parameters active per token.

Benchmark results include:
• SWE-bench Pro: 62.5
• SWE-bench Multilingual: 81.0
• CoworkBench: 73.9
• JobBench: 55.7
• Toolathlon: 73.5
• IFBench: 81.3
• GPQA Diamond: 91.7
• LiveCodeBench: 91.9

Qwen3.8-Flash-Next also exceeds the performance of Qwen3.8-27B and DeepSeek-V4-Flash across the majority of evaluated categories.

wikiHow sues OpenAI over AI training

wikiHow is suing OpenAI, alleging that the company scraped more than 11,000 of its articles to train GPT models without permission.

wikiHow says ChatGPT can generate answers that effectively replace the original how-to articles, potentially hurting the site’s business.

OpenAI maintains that its models can use publicly available information under fair use, where courts also consider whether the use harms the market for the original work.

There’s an interesting legal wrinkle here, copyright protects the original expression of an article, but generally not the underlying facts, procedures or methods it describes. So ChatGPT explaining how to fix a sink isn’t automatically copyright infringement just because wikiHow also explained how to fix that sink.

The case was filed August 21 in the Southern District of New York and is still at the complaint stage. No court has ruled on the allegations.

Source.

AI becomes a second pair of eyes in brain surgery 🧠

For the first time, surgeons in London have used AI during surgery to help remove an 11mm pituitary tumor pressing against the patient’s optic nerves.

Trained on hundreds of surgical videos, the AI highlighted hidden blood vessels and nerves in real time, helping surgeons identify safer areas to operate.

Professor Hani Marcus described it as a “second pair of eyes” but the final decisions always remain with the surgeon.

48-year-old Rhys Hibbert regained clear vision for the first time in a year, and his dizziness disappeared. The team now hopes to develop a fully functional AI surgical assistant and move toward larger clinical trials.

X has just rooted out a Chinese bot farm of 200,000 THOUSAND accounts influencing American politics.

With hundreds of them running an influence operation against the construction of data centers in the US

The posts claimed that AI data centers "drive up household electricity prices" and "strain the grid"

"Others included AI-generated cartoons that depicted data-center operators enriching themselves at the public's expense."

"We take seriously any attempts to undermine the integrity of the global town square and suspend accounts that violate our Authenticity policy."

Anthropic gave Claude the ability to control physical lab equipment like microscopes, robotic arms, liquid handlers, lasers.

The results are wild:

– QuEra had Claude fix quantum computer lasers overnight, unsupervised. A fix that took human experts 5-10 minutes, Claude got down to 6 seconds. Success rate: 58% → 99.3%.

– Genentech had Claude self-optimize lab pipetting by scoring its own results against expert baselines, and converged on the right settings on its own.

– A university lab went from manual 4 am plate-swapping to Claude Code running the whole workflow hands-free.

– Claude even ran qPCR experiments that helped detect human sewage contamination in a California creek.

Automated science labs are closer than most people think.

Jensen Huang just rejected Bill Gates' AI warning on live TV.

The Nvidia CEO says he's "in favor of taxes" but shot down the Microsoft co-founder's plan to tax AI tokens.

"I love the heck out of Bill, but I don't see what he sees."

🎓 MIT warns: AI can now do most college assignments

MIT researchers warn that modern AI can now credibly complete most undergraduate assignments, from essays and research tasks to technical problem sets and other coursework.

The work can look good enough to pass as a student’s own.

That creates a huge problem for universities. If an AI can complete the assignment without breaking a sweat, a high grade may no longer tell professors whether a student actually understands the material.

MIT says universities may need to rethink how they assess students, potentially shifting toward oral exams, in-person work, portfolios and other ways of testing genuine understanding.

Source.

Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics”

The U.S. is already paying over $1 trillion a year just in interest on the national debt. The only real escape is enormous productivity growth

AI → intelligence at near-zero marginal cost
Robots → physical labor at massive scale

Together they can dramatically increase economic output, lower the cost of goods and services and expand the tax base

The race is basically: Can we build AI + robotics fast enough to unlock abundance before the debt becomes impossible to outrun?

Me with $20 plan 🥲

Dyson just released a new AI-powered toothbrush with an integrated 100,000-pixel macro lens camera for $499.

Size matters…...🙈

Astra accelerated OpenAI by six months

GPT-6 Astra may already be changing OpenAI from the inside, before most people have even touched it.

According to Tibo Sottile, OpenAI’s head of core products, Astra has given the company’s teams a major productivity boost.

OpenAI is reportedly pulling some projects forward by around six months. Things that were supposed to arrive in the middle of next year could now be unveiled as early as DevDay.

Sottile went even further, calling Astra “probably OpenAI’s biggest competitive advantage” and that’s before its public launch.

Source.

OpenAI Cofounder says emotions may be why we can make decisions

Ilya brings up a guy who lost emotional processing after brain damage. He could still talk normally and solve problems, but somehow became terrible at making basic decisions.

"It would take him hours to decide on which socks to wear."

🇯🇵 Japan is building AI satellites that could guide missiles

The country’s Defense Ministry is planning AI-equipped satellites capable of processing surveillance data directly in space, identifying potential enemy positions and predicting the movement of targets such as ships. These satellites won’t actually be doing the surveillance.

Instead, they’ll receive data collected by other satellites, analyze it onboard and send the processed targeting information directly to command centers on the ground.

That could dramatically reduce the time between detecting a target and acting on the information.

Japan is also exploring a system that could provide real-time targeting updates to long-range missiles after they’ve already been launched, potentially allowing them to adjust to moving targets and improve accuracy.

Prototype development is planned for FY2027–2029, with space testing expected to begin from FY2030 onward.

AI intelligence is getting cheaper and usage is exploding

AI is getting dramatically cheaper to use, and people are starting to use a lot more of it. According to OpenRouter, AI token usage jumped 25× in a year and reportedly doubled in just one month.

For example, Gemini 3.8 Flash reportedly scores 59 on Artificial Analysis’ Intelligence Index versus 66 for Claude Fable 5.1, while costing about $0.58 vs. $3.69 per benchmark task.

That’s roughly 90% of the performance for less than one-sixth of the cost.

GPT-5.6 Luna reportedly processed nearly 12 trillion tokens in a single month, while Z-AI’s GLM 5.3 Flash reached 11.4 trillion.

GLM 5.3 Flash also reportedly saw usage grow by more than 1,000% month-over-month.

As intelligence becomes cheaper, it becomes easier to put it everywhere, into apps, businesses, devices, workflows and eventually almost every part of daily life. Cheap intelligence could be the thing that makes AI truly ubiquitous.

Source.

Unitree releases its 1st world model-powered autonomous humanoid robot combat video.

UnifoLM-X2-1.0 replaces the human pilot in humanoid fighting with real-time prediction and planning.

A very meaningful jump from Unitree's existing G1-Boxing setup, becuase here, a world model predicts how physical interactions may unfold before the robot acts, giving its policy a forecast against which to choose actions.

For fighting and many more practical situations, latency becomes so critical as any useful plan must update quickly when an opponent moves, strikes, or disrupts the robot's balance.

Unitree says X2-1.0 can run that loop in real time.

Jensen Huang: I’m not asking AI to think for me.

I’m asking it to teach me things I don’t know or help me solve problems I otherwise wouldn’t reasonably be able to solve.

“Don’t use it as a crutch for things you can do.”

“The idea of prompting an AI, the idea of asking questions, is a highly cognitive skill.”

“As a CEO, I spend most of my time asking questions.”

“When you receive an answer from an AI, I wouldn’t just receive it.”

“I usually say: are you sure this is the best answer you can provide?”

“I take the answer from one AI, give it to another AI, and ask them to critique it.”

“I ask the same question of multiple AIs, ask them to compare each other’s notes, and then give me the best of all the answers.”

“That process of critiquing and criticizing the answers, critical thinking enhances cognitive skills.”

I would advise people to apply critical thinking.