Build Features. Fix Bugs. Talk To Users. Shift gears according to stage of the product. You can't always do the same thing, the same way and expect different outcomes.

Started on top of VS Code. Replacing GitHub. Nicely played.

This guy makes $82,000 a day selling honey. He started at 12 years old with $300 and one beehive. By the time he graduated high school he was doing six figures a year. Now, he owns 30,000 hives and over a billion bees…. and makes $35M/year in revenue. I met with Blake last year. Here's how his biz model works: He has six revenue lines… • Retail • Wholesale • Pollination services • Beekeeping supplies • Food manufacturing • Hot honey Retail and wholesale is the core. He bottles the honey himself and sells it direct to stores and consumers. His facility runs 1,000 jars an hour. One tote of raw honey (about 275 gallons) is worth $15k and takes half a million bees to fill it. Pollination services runs on top of that. Farmers pay him to park his hives on their land so his bees can pollinate their crops. This brings in extra recurring revenue that’s separate from selling honey. Hot honey is one of the fastest growing food trends right now. It’s honey infused with chili pepper - either sweet or spicy. Blake sells them at a premium and in smaller batches. So they have better margins than straight honey and cost less to produce. Beekeeping supplies and food manufacturing round out the rest. Supplies means gear hives, suits, or smokers sold to other beekeepers. Food manufacturing covers other honey-based products that have higher margins than just raw honey. The numbers: • Revenue: $35M/year • Margins: 15% • Employees: 125 • Bee cost: $2M/year (just to keep them alive) • Facility output: 1,000 jars/hour (at $5 wholesale, $9 on the shelf) • Processing facility cost: $3M to build ($1M of honey sitting in it at any given time) One of the coolest businesses I've seen.

Loop Engineering: Build Features -> Ship -> Fix Bugs -> Repeat.

3B model with Opus 4.5 performance VibeThinker 3B (based on Qwen 2.5)

Home Page is Updated. Still many things to fix, but can't wait to ship.

My GitHub skill for Seedance V2 are free. I keep updating it all the time. No need to pay anyone; use it as the base for your own skill building. It also works with other video models. I will have an independent one for Kling and Grok Imagine later when they get to the Seedance V2 level.

Released last week, and already more than 4M downloads on HuggingFace alone 😊 This makes Gemma 4 12B the most popular encoderfree VLM by a large margin. In addition to being the first-ever general purpose LLM with encoderfree audio input!

Sunday was the rest day. No shipping today -used today to finalize the new VapuAI homepage design Also planned and created GitHub issues for SEO redesign. Clean planning = fast execution.

I really like this article. I think that the capabilities of a country are fully dependent on the local buying capacity and the size of the local economy. Whether physical or digital, the farther away you have to distribute something, the more expensive it is. Local distribution is always much easier but if local buying power is low then companies have to export which carries a bigger distribution cost because you have to compete against locals in other countries who have a much lower distribution cost. Actually it’s not just distribution: it’s everything from consumer insights to feedback to key relationships that are a distance away. So if you do innovate but you have to necessarily export that innovation to make money, you’re at a disadvantage against local players. One personal example is that India has never made high quality games simply because the local purchasing power is low. If we had a lot more PCs things would be very different. China has roughly 320 million PC gamers and India is about 39 million. So on players alone, China’s PC base is roughly 8x India’s. BUT China’s PC game spend is on the order of 80–100x India’s, even though its player base is only like 8x larger. The difference mainly is monetization as Indian gamers spend much less (core ARPU has run around $0.29/month), so 39M PC players translate into very little premium game revenue. Game Science’s art director Yang Qi confirmed that nearly 70% of Wukong’s sales came from China itself. Knowing a local buying market exists justifies spending. The only way we can justify what we are spending now on UTA is because we found inroads into global markets through content otherwise this would be a money losing exercise. The other problem is that low purchasing power economies have too tiny a market for early adopters. If you built an OpenAI in India before anyone else 50% of people wouldn’t believe you and 50% of people will tell you it won’t work or doesn’t have use cases. I think you need a crackpot high purchasing power early adopter network with high failure and bullshit tolerance to make truly innovative things and also forgive crazy companies during early mistakes because history teaches us that the best companies all had v0.1s that were not very convincing to the masses. Thats why it’s critical for anyone who wants this country to succeed to first really create more jobs, more disposable income, even if that means creating the nth packaged food brand (American grocery stores still have a much wider variety of biscuit brands than India for example) or food delivery apps before they take bigger bets. Not because they need the capital themselves to try bigger bets, but so that they can diffuse more capital into the ecosystem via jobs and the rewards of equity ownership such that that cohort of people become early adopters for other innovative companies. Success comes from satisfying local market demand (sometimes like in the case of Tesla or Ford there is hidden demand and entrepreneurs need to unlock it) and rarely comes from creating something that has no local demand. After studying Chinese social media so much I have a long thesis on why they did well (bans on global social media platforms constrain desire of products to local players only who now get revenue and profit to do RnD. Think about what % of disposable income from India is being spent on global brands where the desire to buy starts on a global social media platform). Anyway people complaining about India building “easier businesses” are really not spending the mental energy to think second order. And 9/10 times this same type of person will completely ignore local innovation that is almost always happening in parallel but gets less media coverage.

Nvidia's Cosmos 3: 1 model that can understand, simulate, and act across many physical AI tasks. It treats action as a first-class language of the world. Most AI models look at reality from the outside: images become captions, videos become descriptions, and motion becomes something to label after the fact. Cosmos 3 tries to collapse that distance by putting language, image, video, audio, and action into one shared system, so a robot can connect what it sees with what might happen next and what it should do. A home robot cannot simply recognize a plate, a table, and a human instruction, because the useful question is what changes when it moves, grasps, slips, bumps, or waits. That is why the paper’s action-token design matters: it turns movement into something the model can condition on, infer from video, or generate alongside a future scene. ---- Link – arxiv. org/abs/2606.02800 Title: "Cosmos 3: Omnimodal World Models for Physical AI"

Forget Fable and Become able To run local model!!

I revised timelines for some new features for VapuAI considering Fable 5. Now I am revising again.

Today it will be only one topic- guess what?

This is why countries must have their own LLMs.

4 main topics you see currently in this app: - spacex ipo - fable - codex - x algorithm. Do you see anything else?

Elon just created 4,400 millionaires in a single day. 400 of them are now worth over $100 million. These aren't VCs. They're SpaceX employees, and the list includes welders, technicians, and cafeteria staff, because for two decades the company paid every level of the workforce in stock instead of higher salaries. Juan Hernandez immigrated from Mexico and took a $28 an hour contractor welding job in 2015. He says he didn't even know what SpaceX was. The company gave him a $10,000 equity grant and let him buy more shares through payroll deductions. That stake is now worth $880,000. Trevor Hise's parents wanted him to take a stable job at General Electric. He picked SpaceX instead, stayed 12 years, and accumulated over 100,000 shares. At the $135 listing price that's $13.5 million. He's 37 and semiretired. His words: "The magnitude of this has been ridiculous." The most telling detail came before the listing. Over 100 employees quietly banded together and negotiated a group wealth management deal covering up to $5 billion, because none of them had ever needed a wealth manager before. Software IPOs have minted millionaires for 30 years. This is the first one where the money went to the factory floor.

same guy btw