rprend

Statute of limitations kicks in at the moment of your awareness of the watch being fake. But, you and the plaintiff might dispute over the fact of when you learned the watch was fake. That’s exactly what this jury decision was about. Musk claimed he wasn’t aware of OpenAI’s for profit push until 2022. Altman claimed he was aware of it as far back as 2017 or 2019. The Jury looked at texts and emails and interviewed witnesses and decided that Musk was aware of it in 2019, which is more than 3 years before he filed the suit in 2024.

This is not true. API tokens are not sold at a loss, and hardware gets more efficient over time, so serving inference on the same model gets cheaper. LLAMA 3.1 405B parameters was $6/$12/M tokens in 2024, but in 2026 that same model is $3/$3/M tokens.

The most intelligent model at a given time is much larger than the previous, which is why token costs for GPT5.5 are higher than 5.4. But you should expect that 2 years from now, serving a GPT5.5 sized model will be cheaper than GPT5.5 today. You should expect it to be even cheaper to get an equally intelligent model 2 years from now, because distillation techniques are effective at reducing the necessary parameter count for the same benchmark scores.

That includes lunch, park bench, coffee shop to charge phone, etc, but yea. north brooklyn to coney island and back. ive only done it a few times , not 5 days a week

This is awesome. Exactly what openclaw was supposed to be. Im really impressed by how effortlessly it handles the file syncing.

My method of walking to work is back (going for an 8 hour walk , voice dictating the whole way)

the most productive teams will be the ones that treat code as compiler output (which we never read)

legacy manual codebases which require human review will be the new "maintaining a FORTRAN mainframe". they'll stick around for longer than you'd expect (because they still work) , at legacy stagnant engineering companies

Product work can be counterintuitive. An engineer / PM might think that a design or feature “makes sense”, but you don’t actually know that unless you measure usage.

I was in school when GPT came out and there is a strong generational divide. It reminds me of when i was young teachers said you couldn’t use Wikipedia because it isn’t guaranteed to be correct, but we did anyway. Same thing with LLMs. It’s a faster way to do things so eventually everything will be done that way.

What backlash against Adobe? I think you are mistaking comment section consensus for reality. People on forums and social media complain, but the comment section consensus is often dead wrong!

There was no real backlash against Adobe. They added subscriptions and grew revenue. Some people grumbled online, but they paid, which means they don’t like the old model, they like the new one.

Anthropic is a great case study in why uptime doesn’t matter. The service is so valuable that you can have one nine uptime and add $9bil ARR in 3 months.

Yep. Enthusiasts are cheap, picky, and have no loyalty. They’re extremely political and are the only type of customer who will actually switch. Plus it’s a tiny market. You might eek out $50mil revenue after a decade, if you’re lucky.

There is a hobbyist market for a tinker-phone; it’s just tiny. Like Raspberry Pi or Framework market cap vs Macbook market cap.

It is not a fantasy it is fact based on watching people buy phones.

I built a payment processor and failed. Regulations aren’t the issue. The issue is customer psychology: once a customer has solved their problem, they never switch. The biggest misconception I had is that it’s a viable business model to start a business to “compete” with an existing one (cheaper, better tech, better UI, etc). That never works.

You have to either 1. Solve the problem for a new customer who hasn’t solved this problem. 2. Solve a totally different problem than your competition. or 3. Invent a completely different paradigm for approaching solving that problem.

A good case study is search. Nobody could compete with Google, until ChatGPT. Note that ChatGPT is not just “Google but better”, but instead does (3): it’s a different paradigm for answering your questions. Even though it’s much better at solving this problem, people still don’t switch from Google. Most of ChatGPT growth comes from (1): new customers, because ChatGPT usage is highest among young people who haven’t already solved their problem and aren’t sticky with Google.

You underestimate how sticky customers are out of habit. Cable news is now an inferior product for information retrieval, but it’s sticky because it’s already there, solving the problem, for that generation.

MCP blew up in 2024, before terminal agents (claude code) blew up in early 2025. The story isn’t “MCP was a fake marketing thing pushed on us”. It’s a story of how quickly the meta evolves. These frameworks are discovered!