Introducing Simi, the fastest way to make an explainer video. It works like ChatGPT, except the answer is a video. Feed Simi any script or doc. Get a complete explainer video in under 60 seconds. Built for deep understanding. It also supports 80+ languages.

Simi News, Day 2: #1 Microsoft's AI chips #2 Broadcom: AI funding crunch #3 IMF: AI could affect 40% of jobs #4 Amazon: 1M+ robots #5 17 AI agents rebuilt Call of Duty Made with Simi by @laminalabs. Just paste an article to create a whiteboard explainer in one shot. You can even use your own custom voice. This entire video is narrated in mine! Follow for Day 3.

AI is getting cheaper. GPU prices are rising. Tesla says its robotaxi fleet grew 8x in a month. Introducing Simi News: daily whiteboard explainers of the biggest tech stories, all made with Simi. Day 1. Follow for tomorrow's episode. Want to make your own? Just paste a description into Simi by Lamina Labs. It turns your ideas into clear, long-form explainer videos in 80+ languages, in seconds.

Satya Nadella just shared his thoughts on one of AI's biggest challenges: how do we control systems we don't fully understand? We gave Simi his article, and it generated this entire explainer video in seconds. Simi is the fastest way to understand any topic. Turn any article, research paper, or idea into an explainer video in seconds, in 80+ languages. Try it: app.laminalabs.ai

Nepal needs urgent help. 🇳🇵 It's been 5 days. Members of my own family are still missing. Thousands of families have been displaced, lost loved ones, and are still waiting for news. @laminalabs is donating $5,000 to flood relief. If you can help, please donate through Nepal’s official relief fund: pmdrf.nchl.com.np @mk314k

Claude, except the answer is a video. You can now create videos with Simi inside Claude. Ask for an explainer video and get a narrated video back in under 60 seconds from any prompt, doc, or script. Most AI video tools optimize for clips that look good. Nobody learns from a clip. Simi makes explainer videos that actually explain. At Lamina Labs, we’re building the fastest infrastructure for generating explainer videos. 1–30 min. 80+ languages. Sign up this week and get 120 credits free. No quote, comment, or DM required.

Our product, Simi, the fastest way to make explainer videos, one-shotted this entire article into a five-minute explainer, so you can watch it and understand the core argument without reading the whole piece. My main takeaway: enterprise AI won’t be about using the smartest model for every task. It’ll be about using just enough intelligence to get the right outcome, then making that outcome cheaper and more repeatable over time. Couldn't agree more Jaya!!

We turned NVIDIA’s Alpamayo 2 Super announcement into a whiteboard explainer video. The original post is packed with details on open licensing, AV reasoning, and cloud-to-car deployment, so we gave it to Simi. Simi generated this entire explainer in one shot. Simi, by lamina labs, is the fastest way to create explainer videos. Try it at laminalabs.ai

OpenAI dropped a dense article on how GPT-Live was built. Simi one-shotted this entire explainer video so you don't have to read it. Save your time for building. Try Simi today 👇

We raised $4.8M to build @laminalabs and make AI explain with video, not just text. Introducing Simi, the fastest way to make an explainer video. Give it a single prompt or document, and it can generate a one-minute narrated explainer in as little as 20 seconds, in 80+ languages. It works like ChatGPT, except the answer is a video. The round was led by @FoundationCap , with participation from @Link_Ventures and @ycombinator . This is our story. Thread below on what we are building at.

Simi made this explainer in one shot so you can understand Satya Nadella’s entire post in 90 seconds. The real enterprise AI breakthrough is not generating more disposable code. It is turning trusted information into secure, governed, reusable software at the speed of a prompt. Most people are still talking about vibe coding. This is what the future of actually building businesses looks like.

Simi turned OpenAI’s full post into this explainer video in one shot, so the idea is easier to digest. The biggest takeaway: benchmarks do not just measure the model. They also measure the memory and harness built around it. Same model. Better memory. 3x the score and 6x fewer output tokens. Insanee!!!

Kimi K3 does not beat GPT-5.6 or Anthropic’s strongest models at everything. But an open-weight model now competes with them, and sometimes wins, on serious coding, browsing, research, and automation tasks. Part 6/6 explains how K3 reached the frontier, and where it still falls short. P.S. Every video was generated in one shot by Simi, the fastest infra to generate explainer video in the entire world. Brought to you by Lamina Labs.

K3 was not trained only to produce better answers. It was trained to keep working after the first answer fails: use tools, inspect the result, correct itself, and continue across hundreds or thousands of actions. Part 5/6: How K3 became an autonomous agent. P.S. Every video was generated in one shot by Simi, the fastest infra to generate explainer video in the entire world. Brought to you by Lamina Labs.

Long context solves distance across tokens. But K3 has another problem: useful information can become buried while passing through 93 layers. Attention Residuals let later layers reach back and recover earlier representations. Part 4/6 explains how. P.S. Every video was generated in one shot by Simi, the fastest infra to generate explainer video in the entire world. Brought to you by Lamina Labs.

A one-million-token context does not mean perfect memory. Ordinary attention at that length would be enormously expensive. K3 instead maintains a compact, editable memory, then periodically checks the full context. Part 3/6: Kimi Delta Attention, explained simply. P.S. Every video was generated in one shot by Simi, the fastest infra to generate explainer video in the entire world. Brought to you by Lamina Labs.