51–60 of 156 posts
There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.
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…
FYI, your Input and output URLs are the same (I thought I was crazy for a sec trying to spot the differences)
If you haven't tried OpenAI's deep research feature, you are missing out. I'm not sure of any good alternatives, I've tried Google's, and I'm not impressed. There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.
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
If you haven't tried OpenAI's deep research feature, you are missing out. I'm not sure of any good alternatives, I've tried Google's, and I'm not impressed. There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.
At this point, the entire AI industry seems to just copy OpenAI for the most part. I cannot help but notice that we have the same services just offered by different companies. The amount of innovation in this build is not that high actually.
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
Much like with new computer hardware, announcements are constant but they rarely entice me to drop one thing and switch to another. If an average user picked a top 3 option last year and stuck with them through now you didn't really miss out on all that much, even if your particular choice wasn't the absolute latest and greatest the entire time.
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
An alternative: don't use LLMs. Focus on the enjoyment of coding, not on becoming more efficient. Because the lion's share of the gains from increased efficiency are mainly going to the CEOs.
For wage workers, not learning the latest productivity tools will result in job loss. By the time it is expected of your role, if you have not learned already, you won't be given the leniency to catch up on company time. There is no impactful resistance to this through individual protest, only by organizing your peers in industry
At this point, the entire AI industry seems to just copy OpenAI for the most part. I cannot help but notice that we have the same services just offered by different companies. The amount of innovation in this build is not that high actually.
> At this point, the entire AI industry seems to just copy OpenAI for the most part Well, OpenAI copied the Deep Research feature from Google. They even used the same name (as does Mistral).
All of the major labs are innovating and copying one another.
Anthropic has all of the other labs trying to come up with an "agentic" protocol of their own. They also seem to be way ahead on interpretability research
Deepseek came up with multi-headed latent attention, and publishing an open-source model that's huge and SOTA.
Deepmind's way ahead on world models
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