I am a developer. While AI is being marketed as snake oil, the things they can do is astonishing. One example is it reviews code a lot better than human beings. It’s not just finding obvious errors but it catches logical error that no human would have caught.
I see people are just forming two groups. Those who thinks AI will solve everything and those who thinks AI is useless. Neither of them are right.
Sometimes. As a tool, not an outsourced human, oracle, or some transcendent companion con artists like Altman are trying to sell.
See how grounded this interview is, from a company with a model trained on peanuts compared to ChatGPT, and that takes even less to run:
…In 2025, with the launch of Manus and Claude Code, we realized that coding and agentic functions are more useful. They contribute more economically and significantly improve people’s efficiency. We are no longer putting simple chat at the top of our priorities. Instead, we are exploring more on the coding side and the agent side. We observe the trend and do many experiments on it.
They talk about how the next release will be very small/lightweight, and more task focused. How important gaining efficiency through architecture (not scaling up) is now. They even touch on how their own models are starting to be useful utilities in their workflows, and specifically not miraculous worker replacements.
Is it becoming useful yet?
I am a developer. While AI is being marketed as snake oil, the things they can do is astonishing. One example is it reviews code a lot better than human beings. It’s not just finding obvious errors but it catches logical error that no human would have caught.
I see people are just forming two groups. Those who thinks AI will solve everything and those who thinks AI is useless. Neither of them are right.
Yes, as far as scalability, cheaper more efficient models can be used in applications which require thousands of uses a day.
lol
Sometimes. As a tool, not an outsourced human, oracle, or some transcendent companion con artists like Altman are trying to sell.
See how grounded this interview is, from a company with a model trained on peanuts compared to ChatGPT, and that takes even less to run:
https://www.chinatalk.media/p/the-zai-playbook
They talk about how the next release will be very small/lightweight, and more task focused. How important gaining efficiency through architecture (not scaling up) is now. They even touch on how their own models are starting to be useful utilities in their workflows, and specifically not miraculous worker replacements.