🤯 GPT-5.6 just did the impossible?

OpenAI says GPT-5.6 Sol Ultra has found a complete proof of the Cycle Double Cover Conjecture, a graph theory puzzle that has stumped mathematicians for nearly 50 years.

It didn’t work alone. The model reportedly deployed 64 AI agents in parallel, each exploring different approaches before combining their findings into a single proof, all in under an hour.

Now comes the real challenge: human mathematicians.

The proof still needs to survive months (or even years) of expert review before it’s officially accepted. If it does, this could become one of the biggest milestones in AI-powered scientific discovery.

Source.

@aipost 🏴

Kimi K3 has surpassed Opus 4.8 in generating retro arcade games, achieving comparable results at roughly half the cost.

Atomic Chat, a desktop application capable of running local LLMs, tasked three models—Kimi K3, GPT-5.6, and Opus 4.8—with creating self-playing versions of Road Fighter, Battle City, and Q*bert in single HTML files. Each output required integrated graphics, opponent logic, game rules, and an autonomous player within one file.

Performance metrics showed Kimi K3 and GPT-5.6 produced similar token counts (18.4K and 18.1K, costing $0.28 each), while Opus 4.8 generated 21.3K tokens at $0.54.

Kimi K3’s Q*bert demonstrated stable game logic, allowing effective navigation and enemy avoidance. GPT-5.6, while offering visually superior results, encountered functional issues with player logic in Road Fighter and Battle City.

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🔥Real Steel has officially become reality

China has launched Ultimate Robot Knockout Legend (URKL), a full-fledged fighting league where humanoid robots step into the ring and battle for glory.

The tournament features 16 teams, but everyone uses the exact same robot. There are no hardware advantages.

The winner is decided by software.

Each team develops its own AI, control algorithms, movement, balance, reflexes, and fighting strategy, turning every match into a battle of engineering rather than expensive hardware.

💰 There’s also serious money on the line: a 10 million yuan (around $1.4 million) prize pool.

And the fights are already delivering unforgettable moments.

In one of the first matches, a robot gets completely decapitated after taking a huge hit… then simply gets back up and keeps fighting like nothing happened. 🤯

The commentators couldn’t help but laugh: “Well… now the opponent can’t score any more headshots.”

Even better, watch until the end, the winning robot actually celebrates its victory, making it look like a scene straight out of Real Steel.

This isn’t just entertainment. It’s also a showcase of how far robotics and AI have come.

Would you pay to watch robot fights instead of human MMA? 🤔

@aipost 🏴

🤖 ChatGPT just made finding old conversations way easier

No more endless scrolling through your chat history.

OpenAI has rolled out unified search in ChatGPT, letting you search across chats, projects, uploaded documents, and images from a single search window. The feature is now available on web, iOS, and Android.

You can also apply filters to narrow your search and jump straight to the exact message, document, or project you’re looking for.

If you’ve been using ChatGPT for months (or years), this is one of those small updates that makes a huge difference. Finding old prompts, notes, and files now takes seconds instead of minutes.

@aipost 🏴

🎬 Netflix says AI is already working on hundreds of its productions

During Netflix’s Q2 2026 earnings call, co-CEO Ted Sarandos revealed that generative AI is now being used across around 300 Netflix titles, with most of the work happening in post-production.

Netflix isn’t saying AI is replacing actors or filmmakers. Instead, it’s using AI to create scenes that would have previously been too expensive, too time-consuming, or impossible to produce.

One example is The American Experiment, a documentary series that includes 17 minutes of AI-enhanced footage. According to Sarandos, those scenes were completed twice as fast and at roughly half the cost of traditional production methods.

Netflix is also building an entire AI toolkit rather than relying on a single model. Alongside InterPositive, the AI filmmaking company founded by Ben Affleck that focuses on continuity, lighting, backgrounds, and missing shots, the company also uses Eyeline and its own animation lab to support different stages of production.

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❗️Black Mirror is getting a little too real

Justin McLeod, the founder of Hinge, thinks the future of dating isn’t more swiping, it’s letting AI decide who you should meet.

His new startup, Overtone, doesn’t call itself a dating app. There are no profiles, no endless swiping, and no matching. Instead, it gets to know you through conversations and your own words, then introduces you to someone only when it believes there’s a genuinely strong connection.

In other words: you don’t choose, the algorithm does.

If that sounds familiar, it’s because it feels a lot like Black Mirror’s “Hang the DJ,” where an algorithm controls people’s relationships until it finds their perfect match.

Investors seem to love the idea. Overtone has already raised $18 million, with backing from Match Group, the company behind Tinder, Hinge, and OkCupid. Ironically, the same company that helped turn dating into an endless swipe is now betting on a future without swiping.

What’s even more interesting is that the entire dating industry appears to be changing course:

❤️ Bumble is moving away from swipe-first experiences.
🤖 Facebook is testing an AI dating assistant.
👀 Tinder is introducing eye verification to fight AI-generated fake profiles.

After years of optimizing for engagement, the biggest apps are now trying to optimize for actual relationships.

@aipost 🏴

⚖️ One of the world’s top law schools is redesigning legal education for the AI era

The University of Chicago Law School has unveiled a new AI strategy and it’s not banning AI.

Instead, it’s splitting legal education into two phases:

🧠 First, learn to think without AI:

First-year students will take required classes without laptops or phones, complete in-person handwritten exams, and even defend major papers orally. The goal is to build strong reasoning and legal judgment before relying on AI tools.

🤖 Then, learn to work with AI:

Later in the program, students will be trained to use professional AI tools like Harvey and Legora for legal research, drafting, and document review.

The school’s message is simple: AI is becoming an essential part of legal practice, but future lawyers still need to develop the critical thinking skills that AI can’t replace.

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❗️The first robot labor battle is here

The humanoid robot revolution has hit its first major obstacle… humans.

Workers at Hyundai’s giant Ulsan factory in South Korea have gone on strike over fears that Atlas, the humanoid robot from Boston Dynamics, could eventually replace manufacturing jobs.

The strike has already partially disrupted production, making this the first known factory shutdown tied to concerns over humanoid robots.

What’s interesting is that Atlas isn’t even working in the factory yet. Hyundai plans to deploy the robots at its new factory in Georgia, USA, around 2028, but workers want guarantees now before humanoids become a normal part of the assembly line.

The union is demanding job protections, a higher retirement age, and compensation that reflects a future where robots take on more of the work.

Source.

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