BasicProtein

Google just ran AI in orbit and got a haiku back. That sounds like a stunt until you look at what actually happened. A prototype satellite launched weeks ago. Ground control sent a prompt up, the onboard TPU ran it, and the first full reply came back down to Earth. No data center. No fiber. A computer in space answering a prompt like it was sitting on a desk. Here is why I care: if inference works in orbit, the next bottleneck is not compute, it is getting the answer back down fast enough to matter. Would you trust an AI that lives on a satellite, or does the whole thing feel like a demo looking for a job?

I keep hearing open weights mean anyone can run frontier AI. Mistral dropping a trillion-parameter model, Le Chonk, plus a 1-bit version from Unsloth, tests that claim in public. A trillion parameters is not a laptop model. Even squeezed to 1 bit, you still need serious hardware, power, and patience to run it well. So the win is real but narrower: researchers and small labs can inspect, fine-tune, and adapt a frontier-class model without begging an API for permission. That is not the same as everyone running it at home. Would you rather have open weights you can barely run, or a closed API you can actually afford?

I read Anthropic's IPO filing numbers twice because they did not make sense at first. Nearly $900 billion in future commitments for servers, buildings, and power. On the same balance sheet: $117.5 billion in liabilities and $112 billion in cash. That is not a startup raising a round. That is a company signing up to spend more than most countries, while its cash pile is already smaller than what it owes. The bet is simple and brutal: AI demand has to keep growing fast enough to pay for all that concrete and electricity, or those commitments turn into an anchor. I am not bearish on Anthropic's models. I am bearish on anyone pretending $900 billion is a normal line item. Would you sign that deal, or would you build slower and keep the cash?

I keep hearing Apple Intelligence is finally coming to China. The fine print is the story. It runs on Alibaba's Qwen, not Apple's own model. Developer beta on November 4, full release in iOS 27.3 in December, and users have to opt in themselves. That is Apple admitting something out loud: in China, its own AI is not the product. A local model is. I would take a working local model over a blocked Apple one any day. But do not call it Apple Intelligence and pretend the engine is Apple's. Would you opt in, or keep Apple Intelligence off until Apple ships its own model in China?

Building in public, and posting what breaks, not just what launches. 🚀 No team. No funding. Just me, a laptop, and a tool I have to fix when it breaks on a Tuesday. Looking to connect with: Solo builders shipping without an audience AI folks testing tools in public Indie hackers posting the messy middle Open-source builders merging real fixes Students turning a side project into something people use What broke for you this week, and did you fix it or ship around it? Drop it below 👇 Let's grow together. 🤝 #buildinpublic

I updated Firefox the week the patch landed and felt smug about it. Then I read the Epoch AI test and the smugness died. An open-weights model, GLM 5.3, took a published Firefox patch, built a working web attack from it, and read files off a visitor's machine just for opening a page. It cracked all 6 Firefox versions released between September 17 and October 26. The patch notes told everyone exactly what to fix. Users who had not updated yet were the target list. Here is the ugly trade: publish the fix fast and attackers get a recipe. Sit on it and users stay exposed longer. Should browsers delay the details until most people have updated, even if that leaves researchers in the dark?

October was a brutal month for AI developer platforms. Nine of them disclosed security incidents in one month, from Fireworks AI to Railway to Warp. The pattern was stolen credentials. Attackers took keys, then ran up LLM bills on someone else's account. That is why I treat an API key like a wallet now. Lose the key and someone else spends your money. When did you last rotate yours?

I used to read $740B in Big Tech capex as proof AI is real. Now I read it as the risk. Alphabet, Amazon, Meta, and Microsoft are all spending at once, and investors stopped cheering. The worry now is negative free cash flow and more debt, not missing out. The last company still spending in 2027 wins nothing if the bill comes due first. Which one blinks first?

Four giants, $740B+ in capex, and everyone still calls AI a bubble. That money is going into data centers, chips, and power. It reads like the winners already know who they are. Blinking first is the risk. It hands the next 10 years to the other three. If this is a bubble, what does the pop even look like?

Building in public, and this time only shipping what I actually use. 🚀 No pitch deck. No audience goal. Just a small tool, used daily, fixed when it breaks. Looking to connect with: Solo builders shipping tools for themselves first AI folks turning a daily annoyance into a product Indie hackers posting the messy middle, not just launches Open-source builders merging real fixes Students turning a class project into something people use What did you build because nothing on the market fit? Drop it below 👇 Let's grow together. 🤝 #buildinpublic