So much like code assistance, they still need a fair amount of baby sitting. A good boost for experienced operators but might suck for beginners.
And in some situations ffmpeg has some warts you have to go around. Like they introduced recently a moronic change of behaviour where the first sub tracks becomes forced/default irrespective of the original forced/default flag of the source. You need to add "-default_mode infer_no_subs" to counter that.
It's another tool and one that might actually improve with time. I don't see GNU's man pages getting any better spontaneously.
Whoa, what if they started to use AI to auto-generate man pages...
That’s the time to start my career in woodworking.
It works really well.
It is not simply a "generate man page" without context.
Then they'd be wrong about 20% of the time, and still no one would read them. ;-)
(NB: I'm of the age that I do read them, but I think I'm in the minority.)
If we could imagine wiring a pony to control a car, its brain, while good at navigation, would likely be inadequate at the speed that a car attains.
Or he can just ditch the car and walk. Sure, it's slower and requires more effort, but he knows exactly how to do that and where it will take him.
I no longer check with these AI tools after a number of attempts. Unrelated, a friend thought there was a NFL football game last Saturday at noon. Checking with Google's Gemini, it said "no", but there was one between two teams whose season had ended two weeks before at 1:00 Eastern Time and 2:00 Central. (The times are backwards.)
Ask them about the fire in LA in 2025 January.
I don't think the notion of "current" has been explained to them. Thay just define it out of context.
Did any of the commands look like the ones in the left window:
https://beta.gitsense.com/?chats=12850fe4-ffb1-4618-9215-c13...
The left window contains a summary of all the LLMs asked, including all commands. The right window contains the individual LLM responses.
I asked about gotchas with missing libraries as well, and Sonnet 3.5 said there were. Were these the same libraries that were missing for you?
Where I find GPT to perform better than Sonnet is with text processing. GPT seems to better understand what I want when it comes to processing documents.
I'm convinced that no LLM provider has created or will create a moat, and that we will always need to shop around for an answer.
4o replaced 4 back in April 2024. 01/01mini replaced 4o in Fall 2024.
stop using 4. use 01mini always. its cheaper, faster, and better.
o1/o1mini will be replaced by o3/o3mini in a couple months.
The months old sonnet feels a generation ahead of any OAI product I've used, I'll believe the hype on o3 when I see it, remember the sora and voice roll out?
I had this bizarre bug in rust networking code where packets were getting dropped.
i dumped all 20k lines into o1pro. it thought for about ten minutes and came back telling me that my packets had a chance of being merged if set in quick succession and i needed to send the length before each message and scan packets in a loop for subdivisions on the client. this bug hadnt happened before, only when running locally on a newer faster machine, and was frequent but hard to replicate.
it was correct, and provided detailed pseudo code to solve it.
the second case involved some front end code where during an auth flow ios would force refresh on returning to the browser causing authentication state to be lost. o1pro thought for about 5 minutes before telling me ios has a heuristic with which it decides to close an app on context switch based on available ram, etc, and that i needed to conditionally check for ios and store partial state in local store on leave assuming the app could be deloaded without my control.
it was correct. with some more back and forth we fixed the bug.
these are not the kinds of problems that claude and gpt<4 have been able to help with at all.
I also used voice, and video voice extensively for translation tasks in korea, japan, and taiwan, and for controlling japanese interfaces and forms for tax documents and software.
These are very good tools.
Usually the color was wrong and I don’t care enough to learn about colorspaces to figure out how to fix it and it’s utterly insane how difficult it is even with LLMs.
Just reencode it as is but a little more lossy. Is that so hard?
Perhaps at some point there will be a triage LLM to slurp up the problem and then decide which secondary LLM is most optimal for that query, and some tertiary LLMs that execute and evaluate it in a virtual machine, etc.
Maybe someday