281–290 of 819 posts
I’m always fascinated by the fine-tuning of LLM personalities. Might we finally get less of the reflexive “You’re absolutely right” with this one? Maybe we’re entering the Emo Claude era. Per the system card: In 250k real conversations, Claude Sonnet 4.5 expressed happiness about half as often as Claude 4, though distress remained steady.
Anecdotal evidence. I have a fairly large web application with ~200k LoC. Gave the same prompt to Sonnet 4.5 (Claude Code) and GPT-5-Codex (Codex CLI). "implement a fuzzy search for conversations and reports either when selecting "Go to Conversation" or "Go to Report" and typing the title or when the user types in the title in the main input field, and none of the standard elements match, a search starts with a 2s de…
Anecdotal evidence. I have a fairly large web application with ~200k LoC. Gave the same prompt to Sonnet 4.5 (Claude Code) and GPT-5-Codex (Codex CLI). "implement a fuzzy search for conversations and reports either when selecting "Go to Conversation" or "Go to Report" and typing the title or when the user types in the title in the main input field, and none of the standard elements match, a search starts with a 2s de…
Sticking with ChatGPT pro sub and gpt5 codex on high.
Lots of feature dev here – anyone have color on the behavior of the model yet? Mouthfeel, as it were.
Mouthfeel, as it were Pervert.
Earlier quoted context omitted.
I personally enjoy the “You’re absolutely right!” exclamation. It signals alignment with my feedback in a consistent manner.
You’re overlooking the fact that it still says that when you are, in reality, absolutely wrong .
The complement appears to be, “actually, that’s not right.”, a correction mechanism.
Anecdotal evidence. I have a fairly large web application with ~200k LoC. Gave the same prompt to Sonnet 4.5 (Claude Code) and GPT-5-Codex (Codex CLI). "implement a fuzzy search for conversations and reports either when selecting "Go to Conversation" or "Go to Report" and typing the title or when the user types in the title in the main input field, and none of the standard elements match, a search starts with a 2s de…
I'm not trying to be offensive here, feel the need to indicate that. But that prompt leads me to believe that you're going to get rather 'random' results due to leaving SO much room for interpretation. Also, in my experience, punctuation is important - particularly for pacing and grouping of logical 'parts' of a task and your prompt reads like a run on sentence. Making a lot of assumptions here - but I bet if I were…
Why would you need such extensive prompting just to get the model to not re-implement authentication logic, for example? It already has access to all of the existing code, shouldn't it just take advantage of what's already there? A 20x longer prompt doesn't sound like a satisfying solution to whatever issue is happening here.
Anecdotal evidence. I have a fairly large web application with ~200k LoC. Gave the same prompt to Sonnet 4.5 (Claude Code) and GPT-5-Codex (Codex CLI). "implement a fuzzy search for conversations and reports either when selecting "Go to Conversation" or "Go to Report" and typing the title or when the user types in the title in the main input field, and none of the standard elements match, a search starts with a 2s de…
Earlier quoted context omitted.
Well, here's an even more insane claim: I'm infinity times more productive, as I just wouldn't even start projects without the LLM to sidestep my ADHD. Then, when the LLM invariably fucks up, I step in and finish things myself! Here are a few projects that I made these past few months that wouldn't have been possible without LLMs: * https://github.com/skorokithakis/dracula - A simple blood test viewer. * https://www.…
Well done, some of these projects look cool. Although I was just commenting on the irony of the parent comment.
I really hope benchmarking improves soon to monitor the model in the weeks following the announcement. It really seems like these companies introduce a new "buffed" model and then slowly nerf the intelligence through optimizations. If we saw task performance week 1 vs week 8 on benchmarks, this would at least give us more insight into the loop here. In an environment lacking true progress a company could surely "show…
I do wonder about this. I just don't know if it real or in our heads