Beyond the announcements, the highlight for me was meeting Jensen Huang, CEO of NVIDIA, an absolute honor. This is the man whose vision and perseverance helped birth an entire era of AI, starting with GPUs for graphics, then CUDA for compute, and now systems that power everything from ChatGPT to self-driving factories. In 2012, it was NVIDIA’s chips that helped launch AlexNet and the deep learning revolution. Back then, the idea of a GPU powering intelligence felt wild.... Today, it’s the foundation. Another powerful moment for me was a story he shared: When NVIDIA launched its first AI supercomputer (DGX-1), no one wanted it. No customers. No fanfare... Just one company in San Francisco asked for it. That Company? OpenAI. That level of belief, patience, and long-term thinking is rare. It reminded me why I got into this space to build things that might not make sense yet, but will move the world forward... Still feeling inspired. Still thinking about what’s possible. We’re stepping into an era where compute, creativity, and intelligence blend together, and this moment reminded me that the best work often starts quietly, just with someone who sees it early and keeps building. It’s not just tech. It’s infrastructure for the future... and what stood out most? Jensen’s humility and clarity. No fluff or overhype. Just deep conviction and an obsession with building what the world doesn’t yet know it needs. We’re not just scaling AI. We’re reshaping how nations operate, how companies create, and how people solve problems. Truly grateful for the chance to witness this moment 🙏

the scariest part isn't the robot it's that 140 years of practice happened inside a computer in weeks this is how every skill gets learned from now on

Competitor tracking is one of those tasks that's easy to skip because it's slow. I tested automating it with Qoder. The goal was simple: every week, research what changed across competitors and produce a report I could actually review. Qoder planned the research, checked public updates, ran tasks in parallel, and compiled everything into a structured Markdown report with sources and caveats where evidence was limited. The workflow went from manual to: schedule → research → verify → analyze → report. I also ran Qwen3.8-Flash on it, which is showing 0.0x Credits through September 30. Qoder has a 14-day Pro trial with 300 Credits. Sign up before downloading through this link and you get another 300 — 600 Credits total: qoder.com/activities?code=4H… The interesting part isn't just the research. It's having an AI agent turn a recurring task into a finished artifact automatically.

Xiaomi’s MiMo V2.6 Pro is now the #1 global open-source model on Artificial Analysis. Also #1 among Chinese-developed models. About one point behind GPT-5.6 Sol on the Intelligence Index (score: 46). The part builders actually care about: weighted cost sits around $0.13 per Intelligence Index task. Strong enough to compete near the frontier, and cheap enough to matter for real workloads, not just another leaderboard screenshot. V2.6 Pro is the flagship of the new series (Pro, UltraSpeed, Flash). Fully multimodal. Aimed at complex projects, long-horizon work, cybersecurity, and scientific research. Vs MiMo V2.5, the series nearly doubles intelligence while prices stay the same. The gains came from post-training around Environment x Task x Grader, without changing the pre-training foundation. Open models have been chasing closed ones on quality and cost for years. This is one of the clearest steps yet. try it here: mimo.xiaomi.com

Different image models make different decisions on the same prompt. Now you can test three of the top models on ZenMux Studios with the same input: → Nano Banana Pro → GPT-Image-2.5-Sunburst → Qwen-Image-3.0-Pro All three are 30% off for the next two weeks.

In my opinion, this update is more important than it looks. #HowToMakeMyCampusLit @Dreamina_ai updated the Dreamina AI Web experience and canvas, and it’s live now. Honestly, the workflows are the best part. The update brings high quality AI video workflows and skills for film, brand ads, viral social media content, and more. It feels like less time staring at an empty prompt and more like following an actual creative process. For students, that can make a real difference. A campus fest promo or a short film for your club suddenly feels much more doable from one workspace. Get 90% OFF your first month of Dreamina Basic. Limited offer available till October 9th! If you’re making campus content, Dreamina AI is worth exploring.

Oil prices are rising worldwide, but the real question is: how bad can this get? So I gave Apodex 1.1 a critical task: figure out why prices are rising, what’s driving the market, and how high oil could realistically go next. and it gave me real research & uncertainty with consequences.

Baidu's Kooko AI hit 10+ million international users in its first year. Here’s what that actually looks like in practice. Most research still dies the same way. You open search. Then ten tabs. Then a doc. Then an AI chat. Then you copy fragments between all of them and lose the thread halfway. What's different here is the whole loop stays in one place. You pick a topic. It pulls from multiple sources. It compares what it finds. It cites what it used. Then it turns that into a structured report, a deck, a doc, or a PDF. A real case: French Riviera property valuation. Research. Methodology. Comps. Pricing. Clean final report. Same pattern for any deep research job that usually dies across too many tabs. This is what an AI workspace for professional productivity should look like.

My AI news brief now texts me before my coffee ☕ Rene reads my newsletters and is even keeping count of how many weeks in a row a lab has said “slow down”

Holy Moly.. AI video generation is moving beyond "write a prompt and hope for the best." I just tried @PippitOfficial 3D Director Studio and what stood out is what happens before you generate. Instead of cramming every pose, transition, and camera angle into one prompt, I could build the movement visually first. Position the character. Set the pose. Pick the movement. Control the timing. Plan the camera. All on a timeline. That changes the whole creative process. You're not prompting for an outcome, you're planning the sequence and directing the movement first, then letting Seedance 2.5 turn that direction into the final video. It's the closest thing to a filmmaking workflow inside an AI video tool. Try it here: pippit.ai/?utm_medium=Media&… #3DDirectorStudio #PippitAI #Seedance #PippitPartner #Seedance25