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- Hacker News
- Show me more than 8 items in the recent history list, so I don't have to manually navigate to the same directory repeatedly (Claude)
- An AI product should probably start with knowing what model (e.g., arch, version, quant, etc.) you're actually using. Opaque providers make that quite hard.
People are constantly complaining about GPT/Claude constantly changing under their apps without notice.
by k__ - For research tasks I'd like to see labelled branches/traces for the full session/project flow and have the ability to fork from chosen "breakpoints".
- I don't trust corporations with my data.
So a serious AI product would have to have my data (contexts, conversations) in a "secure enclave". If backed up, it needs to be encrypted.
I want a context and history that, over time, essentially knows everything about me.
It's one of the things that has been rather fascinating about Claude & Co.— he'll come back with things like, "Since you are already familiar with the ESP32…" or, "You already have a heat press from your work with dye sublimation, that will work nicely to set the inks when you screen print t-shirts…"
(Shades of "Diamond Age"… I imagine it helping me recall things when I am in my old age, notice patterns in my life I might want to break free from, etc.)
by JKCalhoun - Whatever it is, it won't be sold as an AI product. Coding and writing tools are probably the easiest to predict. An AI hiding in IntelliSense popping up and warning you that your lacking the proper exception handling, that you're leaking memory and offers to add the missing code, is already doable. Just don't label it as AI, it's realtime security screening for your code.
Or writing an article in Word or Google Docs, having a built in fact-checker akin to the spell/grammar checker is clearly useful. Pink squiggly line, your facts are incorrect, click to fix. Hell built that thing into Facebook or X. Again, it's not completely out of the question to add that right now and have it add the correct sources.
LLMs are clearly useful, but they aren't really a product, they are an engine you can put into other things.
by mrweasel - I'd start with something research focused like Undermind or Elicit. Although I don't think that the author is comfortable with using a tool that isn't produced by the model lab.
The planning model for tool use sounds something like CaMeL, which someone should really try implementing in a product.
by Leynos - I have been dwelling on the "No First-Person Output" problem.
I fully agree with the author's point that it's an incoherent interface for a tool. But more than that, it's a constant irritating reminder to me that these LLMs aren't actually thinking or synthesizing new ideas. The LLM is fundamentally not a person, and does not have a human's context, so representing itself with human pronouns and speech patterns is fundamentally contradictory and inaccurate. Author gets into that with the apologies, but once you start noticing it, it's everywhere.
If these programs were actually capable of thinking, and committed to veractiy, they would represent themselves in a new way, and it would be insightful and interesting. We the users wouldn't have comfortable and misleading language masking the 'alien intelligence' and it would be a weird adjustment, but we would be adjusting instead of pretending.
by awakeasleep - Really refreshing read. This feels glaring in so many of these, and the methods to get things to "behave" of just slapping additional markdown prompts at various levels is both silly and ineffective.by sligbad