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Tech Analyst & Content Creator. Editor-in-Chief @getsuperintel - daily AI briefing for 225k+ reader: 🔗 https://t.co/jHMmImmI5I //📧 [email protected]

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NVIDIA says Codex post-trained Cosmos 3 Nano from 54.41% to 93.35% accuracy in one day - with two prompts. The experiment used Toyota’s Woven Traffic Safety dataset: 8,000+ training and validation samples for four-choice video reasoning. Using NVIDIA TAO agent skills, Codex autonomously: Detected and patched missing video metadata Ran the zero-shot baseline Generated LoRA configurations Launched training and evaluation Ran an AutoML hyperparameter sweep Reported the best model One LoRA run reached 87.14% after roughly 30 minutes on eight A100 GPUs. A second prompt launched 43 parallel AutoML trials across multiple A100 nodes, reaching 93.35% after 19.5 hours. NVIDIA says LoRA required roughly seven times fewer GPU-hours than full-parameter training. Agent skills are becoming the interface through which general coding agents operate highly specialized ML infrastructure.

NVIDIA says Codex post-trained Cosmos 3 Nano from 54.41% to 93.35% accuracy in one day - with two prompts. The experiment used Toyota’s Woven Traffic Safety dataset: 8,000+ training and validation samples for four-choice video reasoning. Using NVIDIA TAO agent skills, Codex autonomously: Detected and patched missing video metadata Ran the zero-shot baseline Generated LoRA configurations Launched training and evaluation Ran an AutoML hyperparameter sweep Reported the best model One LoRA run reached 87.14% after roughly 30 minutes on eight A100 GPUs. A second prompt launched 43 parallel AutoML trials across multiple A100 nodes, reaching 93.35% after 19.5 hours. NVIDIA says LoRA required roughly seven times fewer GPU-hours than full-parameter training. Agent skills are becoming the interface through which general coding agents operate highly specialized ML infrastructure.

89,052 views

I had to watch this video umpteen times to find out whether it was real or AI. For me, it was a wake-up call: we've reached the point where even people who have a lot to do with AI and work with it no longer know what is real and what is fiction.

I had to watch this video umpteen times to find out whether it was real or AI. For me, it was a wake-up call: we've reached the point where even people who have a lot to do with AI and work with it no longer know what is real and what is fiction.

14,380,805 views

Anime companion now available in Europe. And I am deeply surprised - it’s German is amazing! Was playing around with it a bit.

Anime companion now available in Europe. And I am deeply surprised - it’s German is amazing! Was playing around with it a bit.

1,901,881 views

I'll always root for a team that open-sources its best work, and Robbyant just did it properly. Robbyant, Ant Group's embodied-AI company, released LingBot-Vision, a vision foundation model for robots, and the part I love is the data. They trained it on 161M images, filtered down from 2B raw ones and mostly pulled straight from the open web, with no human labels, no edge detectors, no depth sensors anywhere in the loop. It learns the exact edges of objects from raw pixels. That's roughly a tenth of the data DINOv3 saw, and under a third of the training. And it shows in the results. On depth, working out how far away things are, the 1B model edges out a 7B on NYU-Depth. It also powers LingBot-Depth 2.0, which reads the surfaces cameras usually choke on, glass and mirrors, and halves indoor depth error. LingBot-Vision is fully open. Weights from the 1.1B flagship down to a tiny 21M version, code, and the paper. This is the timeline I want more of. Robbyant

I'll always root for a team that open-sources its best work, and Robbyant just did it properly. Robbyant, Ant Group's embodied-AI company, released LingBot-Vision, a vision foundation model for robots, and the part I love is the data. They trained it on 161M images, filtered down from 2B raw ones and mostly pulled straight from the open web, with no human labels, no edge detectors, no depth sensors anywhere in the loop. It learns the exact edges of objects from raw pixels. That's roughly a tenth of the data DINOv3 saw, and under a third of the training. And it shows in the results. On depth, working out how far away things are, the 1B model edges out a 7B on NYU-Depth. It also powers LingBot-Depth 2.0, which reads the surfaces cameras usually choke on, glass and mirrors, and halves indoor depth error. LingBot-Vision is fully open. Weights from the 1.1B flagship down to a tiny 21M version, code, and the paper. This is the timeline I want more of. Robbyant

48,249 views

Holy sh*t: Sam Altman: "The inside view at the companys of looking at what's going to happen - the *world is not prepared.* We're going to have extremely capable models soon. It's going to be a faster takeoff than I originally thought. And that is stressfull and anxiety inducing"

Holy sh*t: Sam Altman: "The inside view at the companys of looking at what's going to happen - the *world is not prepared.* We're going to have extremely capable models soon. It's going to be a faster takeoff than I originally thought. And that is stressfull and anxiety inducing"

571,956 views

I write a daily AI briefing for 225k readers, but this story is not another launch. It is a hire. Meet the AI employee that 40,000+ teams already hired:

I write a daily AI briefing for 225k readers, but this story is not another launch. It is a hire. Meet the AI employee that 40,000+ teams already hired:

19,610 views

Demis Hassabis told world leaders: AGI will be 10x the impact of the industrial revolution at 10x the speed. So I used Perplexity computer to create a graph and visualized what it means for global GDP. No one is ready.

Demis Hassabis told world leaders: AGI will be 10x the impact of the industrial revolution at 10x the speed. So I used Perplexity computer to create a graph and visualized what it means for global GDP. No one is ready.

111,420 views

/1 Gemma 4 31B just crushed Qwen 3.6 27B in a local LLM gamedev contest inside atomic.chat (prompt is below) Device: MacBook Pro M5 Max, 64GB RAM Results: Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens So what is more important: tokens per second, or the quality of the final answer? Qwen made a very long response and showed more creativity and visual style. But Gemma gave a shorter, clearer, and more logical answer in much less time. In this one-shot Pac-Man gamedev contest, Gemma 4 31B was the clear winner. Its game logic was stronger: click reactions were smoother, and it handled interactions with elements like walls, ghosts, and particle effects better. But this was only one test. Maybe Qwen 3.6 27B can show better results with better settings. Open the comments, try our prompt, and share your result below.

/1 Gemma 4 31B just crushed Qwen 3.6 27B in a local LLM gamedev contest inside atomic.chat (prompt is below) Device: MacBook Pro M5 Max, 64GB RAM Results: Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens So what is more important: tokens per second, or the quality of the final answer? Qwen made a very long response and showed more creativity and visual style. But Gemma gave a shorter, clearer, and more logical answer in much less time. In this one-shot Pac-Man gamedev contest, Gemma 4 31B was the clear winner. Its game logic was stronger: click reactions were smoother, and it handled interactions with elements like walls, ghosts, and particle effects better. But this was only one test. Maybe Qwen 3.6 27B can show better results with better settings. Open the comments, try our prompt, and share your result below.

72,566 views

Elon just said, "I think we are quite close to digital superintelligence. It may happen this year. If it doesn't happen this year, next year for sure. A digital superintelligence defined as smarter than any human at anything." Get ready, we are in for a wild ride.

Elon just said, "I think we are quite close to digital superintelligence. It may happen this year. If it doesn't happen this year, next year for sure. A digital superintelligence defined as smarter than any human at anything." Get ready, we are in for a wild ride.

286,250 views

1/ Tell me again how blue-collar workers wont be replaced in the very near future. The robot Figure 02 had an 11-month deployment at BMW Group’s Spartanburg plant, including 10-hour daily shifts, during which it moved 90,000+ parts, ran 1,250+ hours, and contributed to the production of over 30,000 X3 vehicles. The deployment yielded critical learnings (especially about reliability and mechanical design) that are being incorporated into the next-gen robot Figure 03.

1/ Tell me again how blue-collar workers wont be replaced in the very near future. The robot Figure 02 had an 11-month deployment at BMW Group’s Spartanburg plant, including 10-hour daily shifts, during which it moved 90,000+ parts, ran 1,250+ hours, and contributed to the production of over 30,000 X3 vehicles. The deployment yielded critical learnings (especially about reliability and mechanical design) that are being incorporated into the next-gen robot Figure 03.

144,847 views

1/ We've all been aware of the hype surrounding Dreamina Seedance 2.0, and I finally got early access to the tool. And wow, I'm blown away. This is by far the best. It is starting to make AI video feel less like "generate a clip" and more like "direct a scene." What stood out to me is the level of control: camera motion, pacing, visual consistency, and the ability to build from multiple references inside one workflow. Some of the prompt directions that feel especially strong: - a busy modern city square during daytime. Suddenly, time freezes completely - a single continuous camera movement through a natural landscape that transitions through all four seasons in one shot - an underwater bioluminescent city waking up at dawn The big shift is this: One Prompt, Viral Remade. Edit Videos as Easy as Editing Photos. Dreamina Seedance 2.0 feels like a real step toward AI-native directing rather than just AI generation. Here are some examples 🧵:

1/ We've all been aware of the hype surrounding Dreamina Seedance 2.0, and I finally got early access to the tool. And wow, I'm blown away. This is by far the best. It is starting to make AI video feel less like "generate a clip" and more like "direct a scene." What stood out to me is the level of control: camera motion, pacing, visual consistency, and the ability to build from multiple references inside one workflow. Some of the prompt directions that feel especially strong: - a busy modern city square during daytime. Suddenly, time freezes completely - a single continuous camera movement through a natural landscape that transitions through all four seasons in one shot - an underwater bioluminescent city waking up at dawn The big shift is this: One Prompt, Viral Remade. Edit Videos as Easy as Editing Photos. Dreamina Seedance 2.0 feels like a real step toward AI-native directing rather than just AI generation. Here are some examples 🧵:

75,394 views

Sometimes the future seems like a dystopia. Drones are increasingly being used as new, mobile advertising spaces.

Sometimes the future seems like a dystopia. Drones are increasingly being used as new, mobile advertising spaces.

188,464 views

OpenAI has introduced the ChatGPT Agent, which handles complex multi-step tasks from research to automation. Genspark goes further in some areas: In addition to user-friendly office tools (Slides, Docs, Sheets, AI Secretary, AI Drive), Genspark scores with dynamic tool orchestration and an intelligent feedback loop - a clear added value, especially for individuals and small teams. ChatGPT Agent Offers browser and API access, terminal control and deep search capabilities. Strengths include high security mechanisms, comprehensive user control and integration with productivity tools such as Gmail and Calendar. Ideal for end users and teams who need maximum control and data protection. Genspark Super Agent Enables no-code workflows, creates high-quality visual content (slides, videos) and automates entire workflows. With tool calling, the agent automatically selects the best solution from over 80 integrated tools - e.g. for CRM queries, task management or API access. The feedback loop allows the agent to monitor the use of a tool during execution and dynamically switch to another tool or adapt the workflow if necessary. Thanks to this multi-model architecture, Genspark often works more precisely and efficiently in benchmarks than comparable systems.

OpenAI has introduced the ChatGPT Agent, which handles complex multi-step tasks from research to automation. Genspark goes further in some areas: In addition to user-friendly office tools (Slides, Docs, Sheets, AI Secretary, AI Drive), Genspark scores with dynamic tool orchestration and an intelligent feedback loop - a clear added value, especially for individuals and small teams. ChatGPT Agent Offers browser and API access, terminal control and deep search capabilities. Strengths include high security mechanisms, comprehensive user control and integration with productivity tools such as Gmail and Calendar. Ideal for end users and teams who need maximum control and data protection. Genspark Super Agent Enables no-code workflows, creates high-quality visual content (slides, videos) and automates entire workflows. With tool calling, the agent automatically selects the best solution from over 80 integrated tools - e.g. for CRM queries, task management or API access. The feedback loop allows the agent to monitor the use of a tool during execution and dynamically switch to another tool or adapt the workflow if necessary. Thanks to this multi-model architecture, Genspark often works more precisely and efficiently in benchmarks than comparable systems.

176,267 views

Andrew Yang just returned from an AI conference, and the pace of innovation is staggering. Experts predict the next 6 months will outpace the last 10 years. The rate of change is on a hockey stick—and it blew his mind.

Andrew Yang just returned from an AI conference, and the pace of innovation is staggering. Experts predict the next 6 months will outpace the last 10 years. The rate of change is on a hockey stick—and it blew his mind.

70,210 views

Waymo self-driving car enters active police standoff with passenger inside AGI achieved.

Waymo self-driving car enters active police standoff with passenger inside AGI achieved.

111,643 views

A Chinese company has developed a flexible solar panel that can be directly adhered to rooftops, significantly simplifying installation. Solar energy is the future.

A Chinese company has developed a flexible solar panel that can be directly adhered to rooftops, significantly simplifying installation. Solar energy is the future.

60,862 views

Remember this clip? "I hope with our innovation they will want to come out and show that they can dance. I want people to know that we made them dance.” The irony is that it was precisely the competitor they were trying to expose that ended up making OpenAI and Microsoft dance. Pride comes before a fall.

Remember this clip? "I hope with our innovation they will want to come out and show that they can dance. I want people to know that we made them dance.” The irony is that it was precisely the competitor they were trying to expose that ended up making OpenAI and Microsoft dance. Pride comes before a fall.

87,665 views

We did it! Will Smith AI-Benchmark solved ✅

We did it! Will Smith AI-Benchmark solved ✅

170,817 views

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