Frontier US labs could still have an advantage for a long time, but many use cases would start gravitating towards Chinese models if they 10x the data centers and provide similar quality inference for a third of the cost.

How do you suggest we stop the lessons from the first major drone war from spreading? With hope? Prayers? The terrifying thing about it is - the US is actually already behind on this technology, China can build 1000x more drones than the whole West.

But it would be nice to directly hook it up to a GitHub repo that I can commit and push to. I’m guessing MS won’t let them build that to safe guard their own models and OAI investiment.

At this point Claude so is far ahead in “empathetic understanding” and relational understanding, it’s painful to use GPT for anything but extremely factual content. IMO both Gemini and GPT are now overwhelmingly a failure as general purpose chatbots, while Claude is increasingly resembles what I imagined an AGI system to be.

So even though I’ve done the whole wiki / knowledge base thing. The most efficient way of handing it over as a universal file to GPT and Claude for analysis.

Also those personalities, quirks and choices accumulate. A lot of people talk about using Claude Code and Codex for different things. This is 100% my experience. Some people make better models, but on the top 3, there are often differences that are fixed only by switching between them. If I feel the need to switch between them, then there are significant enough differences and those differences will accumulate.

With good management you will get great work faster.

The distinguishing feature between organisations competing in the AI era is process. AI can automate a lot of the work but the human side owns process. If it’s no good everything collapses. Functional companies become hyper functional while dysfunctional companies will collapse.

Bad ideas used to be warded off by workers who in some shape or form of malicious compliance just would slow down and redirect the work while advocating for better solutions.

That can’t happen as much anymore as your manager or CEO can vibe code stuff and throw it down the pipeline for the workers to fix.

If you have bad processes your company will die, or shrivel or stagnate at best. Companies with good process will beat you.

If the leadership doesn’t bend it might get replaced. It’s annoying. I think Claude is atm the best AI assistant, by far.

After reading through Andrej Karpathy’s recent texts on LLM wikis, I decided to try and make my health records anonymous, maybe place them on GitHub, and share them. im not fully finished yet (I found there is a personal identifying information leak still in two files) but I’ve checked and re checked the files and it should be good eventually after a manual audit. The files are around 100 medical reports in total (labs, admission notes, results, examination reports) and I will check them by hand in my final PII audit.

Essentially I suspect a particular condition. But I can’t prove it, and doctors where I am won’t / can’t help. Afaik the only known full pathway to diagnosis and treatment might exist in the US. So I’m hoping this either helps me find a doctor or a diagnosis. Or is it will be online as a repository of information in a way of creating a gradual database on this condition (undiagnosed as it may).

Just wondering if anyone with a bit of IT experience would be open to “red teaming” the experiment with, particularly so when looking for Personally Identifiable Information. I’ve already given it a scrub using ChatGPT and Claude but you can’t be too careful. I’ve sanitised all records of names. I’m also curious about direction - I’m just aiming to get it across as a neutral document or documentation.

thank you

Comments URL: https://news.ycombinator.com/item?id=47663191

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