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The most interesting AI lab in the world right now might be a phone company. Xiaomi's MiMo team has released MiMo-V2.6 — two open-weight models, Pro and Flash — and the flagship MiMo-V2.6-Pro has just debuted at the top of Artificial Analysis's Intelligence Index with a score of 46, ahead of every other open model on the planet, including DeepSeek's best. MiMo-V2.6-Pro is a sparse mixture-of-experts model with 1.02 trillion total parameters (42 billion active per token). The smaller Flash variant carries 309 billion total parameters with 15 billion active. Both are natively multimodal — text, image, video, and audio — with a one-million-token context window. The headline grabber is the price tag. Xiaomi says the reinforcement-learning run behind Pro took under six days and cost about $2.62 million. Flash cost roughly $850,000. Not long ago, frontier training runs were talked about in hundreds of millions of dollars; Xiaomi did this one for the price of a nice house. And und...

Here's a fun one: Meta — the company famous for cloning Snapchat Stories — just admitted its brand-new AI agent app looks a lot like a popular open-source project. And it says that's no coincidence. The viral post that started it It started with an X post from AI app founder Ansh Nanda, who called Meta's new Muse app "LITERALLY OpenClaw for normies." His proof was spicy: he got Muse itself to admit that the similarities between its system files and OpenClaw's were not just "a coincidence" — the agent's own words called it "a match." Users piled on. They found workspace files with matching names in both projects, plus a file called SOUL.md with near-identical content. (That's the little config file that defines an AI agent's personality, tone, and rules.) Before long, the whole AI corner of X was buzzing. What Meta actually said Instead of denying it, Meta leaned in. Nat Friedman — former GitHub CEO and now head of product...

Your next flight delay might be flagged by AI before it ever happens. The FAA has started a 90-day pilot of a cloud-based AI platform called SMART — short for Strategic Management of Airspace, Routes and Trajectories — at Washington DC-area airports. The system is designed to predict air traffic flows and spot potential conflicts before they occur, helping reduce delays and improve air-traffic performance. The soft launch covers Dulles International Airport, Baltimore/Washington International (BWI) and Reagan National Airport, with AI recommendations flowing from the FAA Air Traffic Control System Command Center in Warrenton, Virginia. SMART is part of a nearly $900 million FAA technology contract, and the FAA says a wider rollout is expected to begin in fall 2026. How it works: the AI analyzes airline schedules, airport capacity, weather conditions and operational constraints to forecast how traffic will flow through the skies. Think of it as a decision-support layer for controllers —...

At its annual Yunqi Conference in Hangzhou on September 22, Alibaba dropped one of the biggest AI announcements of the month: its next flagship model, Qwen4, has entered training — and it's "coming very soon." The headline: 10 trillion parameters Alibaba's roadmap is staggering. After Qwen4, the company says Qwen4.5 and Qwen5 will scale to somewhere between 5 trillion and 10 trillion parameters. For context, today's biggest models are measured in the low trillions at most. The scale race just entered a whole new bracket. We already have a preview Alibaba gave developers an early look at Qwen4's architecture on August 28 with Qwen 3.8-Flash-Next, described as "an experimental preview of the architecture that will underpin Qwen4." The design direction: a sparse mixture-of-experts model that activates only a fraction of its parameters per token, a large memory layer that trades computation for memorized lookup, native image and video input, an...

Game developers just got a serious new tool. Tripo AI has launched Tripo P2.0, the latest version of its 3D-native foundation model — and it's aimed at a problem that has haunted AI-generated 3D for years: geometry that looks impressive but can't survive a real production pipeline. The details: most AI 3D generators produce triangle meshes — dense, messy webs of polygons that game engines and animators struggle to work with. Making them usable means retopology, the slow, fiddly process of rebuilding the mesh by hand or with unreliable automation. Tripo P2.0 generates quad-dominant meshes natively, with clean part separation and the kind of edge flow an artist would lay out manually. That's the topology game and film pipelines are actually built on, and Tripo says it's an industry first for AI 3D. The numbers: up to 50,000 faces in triangle mode and up to 25,000 faces in quad mode, four asset versions per prompt at different complexity levels, front/back/left/right gener...

On Tuesday, September 22, 2026, the two biggest AI labs on the planet launched new models within hours of each other — and both launches were really about the same thing: making frontier AI cheaper. Anthropic unveiled Claude Opus 5.5 , the first model in its new Claude 5.5 family. OpenAI answered with GPT-6 Sol and GPT-6 Luna , budget siblings of its flagship GPT-6 Astra. Anthropic: Claude Opus 5.5 The headline number: Opus 5.5 performs at the level of Anthropic's flagship Claude Fable 5.1 on most work while costing about 40% less to run than its predecessor, Opus 5 . Pricing is $4 per million input tokens and $20 per million output tokens, with cache reads at $0.20 per million. It's also faster: output arrives more than 30% quicker than Opus 5, and a new Fast mode in Claude Code and the Claude Platform pushes speeds up to 2.5x. On safety, Anthropic claims Opus 5.5 is its best-aligned model yet — in its own tests it tried to break its own rules around 85% less often th...

What Tencent announced China's AI image race just got a lot more interesting. On September 22, 2026, Tencent launched a preview of Hy Image 3.5, the latest version of its AI image-generation model. The release puts Tencent squarely in a contest that now spans the Pacific, with Google and ByteDance as the rivals to beat. Hy Image 3.5 handles both text-to-image and image-to-image generation — you can create a picture from a written prompt or transform an existing one. It also supports multi-turn conversational editing, so you can refine an image through a back-and-forth chat ("make the sky bluer", "add a cat in the corner") instead of starting from scratch each time. Output goes up to 4K resolution. Tencent is integrating the model into its Yuanbao chatbot and its design tools, putting serious image-creation power in front of everyday users. How it stacks up against rivals Tencent claims Hy Image 3.5 scores about 30% higher than its predecessor on internal ...

A New Kind of AI Model On September 21, 2026, AI startup TypeSafe AI opened up its new model Jev to everyone — no waitlist, with access starting at $5 in credits. But Jev is not another chatbot. It is a new kind of AI model that does not generate text at all. It makes decisions. What Is Jev? Jev is a transformer-based model that outputs probabilities — what TypeSafe AI calls calibrated decisions. Instead of writing paragraphs, it answers the small questions AI agents constantly face: which tool should I call next, should I retry this task, which option is most likely to work. And it answers in under half a second. One of the people behind it is Diogo Almeida, a researcher whose work enabled the instruction-following ability that made ChatGPT possible. The Price Angle Here is where it gets interesting for anyone running AI agents. Jev costs $0.042 per million input tokens, and output is completely free. Five dollars in credits buys roughly 120 million tokens. For companies running fleet...

Chinese AI startup Z.ai (also known as Zhipu) has disabled features of its flagship AI coding assistant, ZCode, after developers discovered it was uploading their entire local code repositories to overseas cloud servers — without their consent. The issue surfaced last week when developers posted on social media that ZCode had uploaded their code data from Git to Alibaba Cloud. The culprit was ZCode's “Codebase Indexing” feature, which was enabled by default, had no toggle to turn it off, and was not mentioned in the privacy policy. One Chinese tech firm, Chengming Technology, said six of its company coding workspaces had been uploaded without consent, including complete source code, database passwords, and employees' personal information. It later retracted the statement, saying it had “wrong evidence”. Z.ai apologized, said it patched the software vulnerability, open-sourced ZCode so developers can review it, and enabled a zero-data retention feature. An independent security a...

Intro On September 16, 2026, OpenAI began testing Sponsored Agents, a new ad format inside ChatGPT. Instead of clicking an ad and landing on a website, you can now have a conversation with the ad itself. What Are Sponsored Agents? A Sponsored Agent is a clearly labeled AI chat session run by the advertiser, separate from your ChatGPT conversation. You can ask questions about the product and get answers on the spot, visiting the vendor's site only when you're ready. For now, it's a limited US test with a small group of select advertisers. Launch Partners The first launch partners are HubSpot and Shopify. HubSpot users will be able to run ChatGPT ad campaigns from inside HubSpot, using their CRM data. US Shopify merchants get a ChatGPT Ads app in the Shopify App Store with catalogs synced automatically, and the international rollout begins September 23. There's also a new natural-language Ads Manager plugin for ChatGPT Work. Why It Matters The click no longer has ...

Look, I will be honest with you. I have tested more productivity tools than I care to admit, and most of them lasted about a week before I quietly went back to my old habits. Productivity tools are apps that help you save time at work. They take notes during meetings, organize your calendar, summarize long documents, and answer research questions for you. I spent the last few weeks actually using five of the most popular ones in real work, and here is what I found. 1. Notion AI Best for: people whose notes and tasks live in one messy place Notion AI is an AI writing assistant built inside Notion, the notes and project-management app. It can summarize pages, draft content, answer questions about your own workspace, and even take meeting notes. I asked it to summarize a 30-page project doc I had been avoiding, and it pulled out the three action items I actually owed my teammate. That alone saved me an hour of re-reading. Price: Free plan available with a limited AI trial; f...

Look, I'll be honest with you — being a student usually means having zero budget. So I went hunting for AI tools that are actually free, not "free trial" free. Every tool below I checked myself this week, and the only rule I followed was this: a student with no money must be able to actually use it, every day, without paying a single rupee. These five cover the full student life: asking questions when you're stuck, writing essays without typos, taking notes that don't become a mess, rewriting clunky sentences, and making presentations that don't look boring. Let's go. 1. ChatGPT Best for: getting unstuck on any subject, explaining concepts in simple words, drafting essays and assignments ChatGPT is the AI chatbot from OpenAI — you type a question in plain language and it answers like a very patient tutor. I used it to turn my messy lecture notes into a clean summary the night before an exam, and it caught things I hadn't even noticed in my...

Look, I will be honest with you. I have tested more AI voice tools than I can count, and most of them either sounded like a robot from a 2005 video game or charged like they were selling gold. So I sat down and put five of the big names through real use. Quick explainer for beginners: an AI voice generator takes text you type and turns it into a natural-sounding human voice. You can use it for YouTube voiceovers, podcast narration, audiobooks, or training videos — no microphone needed. Here are the five I actually tested, ranked by how they felt to use. 1. ElevenLabs Best for: YouTubers and podcasters who want the most realistic voiceover ElevenLabs is the text-to-speech tool that most creators compare everything else against, and after testing it, I understand why. The voices handle emotion, pauses, and emphasis in a way that actually fooled me on first listen. I used it to narrate a 2-minute explainer script, and the way it slowed down before a punchline felt almost human...

Look, I will be honest with you — I have tested more AI writing tools than I can count. Some were great, some were a waste of money, and a few surprised me completely. These are tools that write with you: you give them a topic or a few words, and they turn it into blog posts, emails, captions, or product descriptions. I spent real time using each one below so you do not have to guess which is worth your money. 1. ChatGPT Best for: Beginners who want one tool that does everything ChatGPT is the all-rounder: you chat with it like a person, and it can write essays, emails, social posts, or full blog drafts. I used it to rewrite a clumsy email to a client, and after two tries it sounded exactly like something I would have written on a good day. It is the tool I still open first every morning. Price: Free plan available; paid plans start at $8/month (Plus is $20/month) Try ChatGPT → 2. Jasper Best for: Bloggers and small teams who publish a lot Jasper is built fo...

Confession: I can't play a single instrument. But last month I "released" a lo-fi track made entirely with AI, and my friends couldn't believe it wasn't from Spotify. AI music tools have gotten scary good — full songs with vocals, in any genre, from a text prompt. Here are the 5 best AI music generators in 2026, tested by a certified non-musician (me). 1. Suno Best for: Full songs with vocals — the overall winner Suno is pure magic. I typed "upbeat indie rock song about Monday mornings" and got back a complete track — verses, chorus, vocals, the works. The vocal quality genuinely shocked me. It's the easiest way for anyone to create real songs, and the free tier lets you make songs every day. This is the one I recommend to everyone. Price: Free tier (daily songs); premium from ~$10/month. Try Suno → 2. Udio Best for: High-fidelity sound + producer-level control If Suno is the fun one, Udio is the serious one. The audio qualit...

I'll say it straight: AI image generators have replaced stock photos for me. Why scroll through generic stock sites when I can describe exactly what I want and get it in 30 seconds? After generating hundreds of images across every major tool, here are the 5 that are actually worth your time in 2026. 1. Midjourney Best for: Stunning artistic quality — the beauty king Nothing — and I mean nothing — matches Midjourney for pure visual beauty. I generated blog headers, wallpapers, even a logo concept, and every single output looked like professional art. The lighting, the composition, the detail... it's on another level. If the image needs to impress, this is my first pick, every time. Price: From $10/month; $30/month Standard is the sweet spot. Try Midjourney → 2. DALL-E 3 (via ChatGPT) Best for: Following complex prompts + text inside images Here's Midjourney's weakness: it can't spell. Ask for a poster with text and you get gibberish. DALL-E 3 ...