31–40 of 156 posts
I’m struggling with MRF. Model Release Fatigue. It’s a syndrome of constantly context switching new large models. Claude 4, gpt, llama, Gemini 2.5, pro-mini, mistrial. I fire off the ide switch the model and think oh great this is better. I switch to something that worked before and man, this sucks now. Context switching llm, Model Release Fatigue
I think they've buried the lede with their image editing capabilities, which seem to be very good! OpenAI's model will change the whole image while editing messing up details in unrelated areas. This seems to perfectly preserve parts of the image unrelated to your query and selectively apply the edits, which is very impressive! The only downside is the output resolution (the resulting image is 1184px wide even though…
Earlier quoted context omitted.
Why do you even follow? Just stick to one that works well for you?
Totally, I feel like though you do have to pay some attention for example in the context I'm working on, for the last while, Gemini was our gold standard for code generation whereas today, Claude subjectively produces the better results. Sure you can stick to what worked abut then you're missing the opportunity to be more productive or less busy, whichever one you choose.
I’m struggling with MRF. Model Release Fatigue. It’s a syndrome of constantly context switching new large models. Claude 4, gpt, llama, Gemini 2.5, pro-mini, mistrial. I fire off the ide switch the model and think oh great this is better. I switch to something that worked before and man, this sucks now. Context switching llm, Model Release Fatigue
Why do you even follow? Just stick to one that works well for you?
Earlier quoted context omitted.
A major reason I haven’t really tried any of these things (despite thinking they are vaguely neat). I think I will wait until… 2026, second half, most likely. At least I’ll check if we have local models and hardware that can run them nicely, by then. Hats off to the folks who have decided to deal with the nascent versions though.
Depending on the definition of "nicely", FWIW I currently run Ollama sever [1] + Qwen Coder models [2] with decent success compared to the big hosted models. Granted, I don't utilize most "agentic" features and still mostly use chat-based interactions. The server is basically just my Windows gaming PC, and the client is my editor on a macOS laptop. Most of this effort is so that I can prepare for the arrival of that…
Earlier quoted context omitted.
Totally, I feel like though you do have to pay some attention for example in the context I'm working on, for the last while, Gemini was our gold standard for code generation whereas today, Claude subjectively produces the better results. Sure you can stick to what worked abut then you're missing the opportunity to be more productive or less busy, whichever one you choose.
I remember the days when I was looking for the perfect note-taking system/setup - I never achieved anything with it, I was too busy figuring out the best way to take notes.
Earlier quoted context omitted.
Depending on the definition of "nicely", FWIW I currently run Ollama sever [1] + Qwen Coder models [2] with decent success compared to the big hosted models. Granted, I don't utilize most "agentic" features and still mostly use chat-based interactions. The server is basically just my Windows gaming PC, and the client is my editor on a macOS laptop. Most of this effort is so that I can prepare for the arrival of that…
Thanks for sharing your setup! I'm also very interested in running AI locally. In which contexts are you experiencing decent success? eg debugging, boilerplate, or some other task?
Not useful though, I just like the idea of having so much compressed knowledge on my machine in just 20gb. In fact I disabled all Siri features cause they're dogshit.
Earlier quoted context omitted.
A major reason I haven’t really tried any of these things (despite thinking they are vaguely neat). I think I will wait until… 2026, second half, most likely. At least I’ll check if we have local models and hardware that can run them nicely, by then. Hats off to the folks who have decided to deal with the nascent versions though.
I have a modified tiered approach, that I adopted without consciously thinking hard about it. I use AI mostly for problems on my fringes. Things like manipulating some Excel table somebody sent me with invoice data from one of our suppliers and some moderately complex question that they (pure business) don't know how to handle, where simple formulas would not be sufficient and I would have to start learning Power Que…
Another nice thing about waiting a bit—one can see how much (if any) the EU models get from paying the “do things somewhat ethically” price. I suspect it won’t be much of a penalty.
I think they've buried the lede with their image editing capabilities, which seem to be very good! OpenAI's model will change the whole image while editing messing up details in unrelated areas. This seems to perfectly preserve parts of the image unrelated to your query and selectively apply the edits, which is very impressive! The only downside is the output resolution (the resulting image is 1184px wide even though…
Earlier quoted context omitted.
Not to invalidate your feelings of fatigue, but I’m sure glad that there are a lot of choices in the marketplace, and that they are innovating at a decent clip. If you’re committed to always be using the best of all options you’re in for a wild ride, but it beats stagnation and monopoly.
We’re also headed into a world where there will be very few open weight models coming out (Meta going closed source, not releasing Behemoth). This era of constant model releases may be over before it even started. Gratitude definitely needs to be echoed.
Fine tuning will work for niche business use cases better than promises of AGI.