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danjc

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GPT‑Live 14 days ago

It would be great if we could have AI that wasn't trying to emulate a human. When it expresses emotion, we should see that as a bug that needs to be fixed.

I've been waiting for someone to say this. An agent will generally produce far more code than technically necessary for the task. It's a kind of over engineering which makes it increasingly harder to wrap your head around the codebase.

The issue is provenance. We need cameras and phones to digitally sign photos so we can easily verify an unadulterated image.

You also want to be able chain signing so that for example a news reporter could take a photo, then the news outlet could attest its authenticity by adding their signature on top.

Same principle could be applied to video and text.

Once you notice characters aren't eating, you'll never not see it again.

Related, where they're drinking coffee from a disposable cup, you can almost always tell it's empty by how they handle it.

GPT-5 12 months ago

describe gpt 5 in one word

incremental

What's missing here is tool use.

For example, if the llm had a compile tool it would likely have been able to correct syntax errors.

Similarly, visual errors may also have been caught if it were able to run the program and capture screens.

Fast for hammering out boilerplate, great for understanding something you've never done before. Much less value for field-frontier or novel work.

Most providers don't support auth in their client implementations yet. Means it's only good for calling into public data. Private enterprise data is where there's huge value.

MCP Clients need to support auth (and probably the spec needs to have a broader set of options for auth) - this is going to be a major blocker for adoption.

The article comments "out of the box, LLMs are particularly good at tasks like creative writing" but I think this actually demonstrates the problem with the ai.

A writer won't think that they're good at creative writing. In fact, I'm pretty sure they'd think LLM's are terrible at creative writing.

In other words, to an expert in their field, they're not that good - at least not yet.

But to someone who is not an expert, they're unbelievably good - they're enabled to do something they had zero ability to do before.

We built tools to give context to an ai chat help embedded in our product. Included is the ability for it to see recent activity logs, the definition of the current object and the ability to search and read help articles.

The quality of the chats still amazes me months later.

Where we find it got something wrong, we add more detail to the relevant help articles.