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As a ChatGPT user, I'm weirdly happy that it's not available there yet. I already have to make a conscious choice between - 4o (can search the web, use Canvas,
by lxgr 2y ago
As a ChatGPT user, I'm weirdly happy that it's not available there yet. I already have to make a conscious choice between
- 4o (can search the web, use Canvas, evaluate Python server-side, generate images, but has no chain of thought)
- o3-mini (web search, CoT, canvas, but no image generation)
- o1 (CoT, maybe better than o3, but no canvas or web search and also no images)
- Deep Research (very powerful, but I have only 10 attempts per month, so I end up using roughly zero)
- 4.5 (better in creative writing, and probably warmer sound thanks to being vinyl based and using analog tube amplifiers, but slower and request limited, and I don't even know which of the other features it supports)
- 4o "with scheduled tasks" (why on earth is that a model and not a tool that the other models can use!?)
Why do I have to figure all of this out myself?
- fragmede 2y agowhat's hilarious to me is that I asked ChatGPT about the model names and approachs and it did a better job than they have.
- resters 2y agoI use them as follows: o1-pro: anything important involving accuracy or reasoning. Does the best at accomplishing things correctly in one go even with lots of context. deepseek R1: anything where I want high quality non-academic prose or poetry. Hands down the best model for these. Also very solid for fast and interesting analytical takes. I love bouncing ideas around with R1 and Grok-3 bc of their fast responses and reasoning. I think R1 is the most creative yet also the best at mimicking prose styles and tone. I've speculated that Grok-3 is R1 with mods and think it's reasonably likely. 4o: image generation, occasionally something else but never for code or analysis. Can't wait till it can generate accurate technical diagrams from text. o3-mini-high and grok-3: code or analysis that I don't want to wait for o1-pro to complete. claude 3.7: occasionally for code if the other models are making lots of errors. Sometimes models will anchor to outdated information in spite of being informed of newer information. gemini models: occasionally I test to see if they are competitive, so far not really, though I sense they are good at certain things. Excited to try 2.5 Deep Research more, as it seems promising. Perplexity: discontinued subscription once the search functionality in other models improved. I'm really looking forward to o3-pro. Let's hope it's available soon as there are some things I'm working on that are on hold waiting for it.
- motoboi 2y agoYou probably know this but it can already generate accurate diagrams. Just ask for the output in a diagram language like mermaid or graphviz
- bangaladore 2y agoMy experience is it often produces terrible diagrams. Things clearly overlap, lines make no sense. I'm not surprised as if you told me to layout a diagram in XML/YAML there would be obvious mistakes and layout issues. I'm not really certain a text output model can ever do well here.
- resters 2y agoFWIW I think a multimodal model could be trained to do extremely well with it given sufficient training data. A combination of textual description of the system and/or diagram, source code (mermaid, SVG, etc.) for the diagram, and the resulting image, with training to translate between all three.
- bangaladore 2y agoAgreed. Even simply I'm sure a service like this already exists (or could easily exist) where the workflow is something like: 1. User provides information 2. LLM generates structured output for whatever modeling language 3. Same or other multimodal LLM reviews the generated graph for styling / positioning issues and ensure its matches user request. 4. LLM generates structured output based on the feedback. 5. etc... But you could probably fine-tune a multimodal model to do it in one shot, or way more effectively.
- behnamoh 2y agoI had a latex tikz diagram problem which sonnet 3.7 couldn't handle even after 10 attempts. Gemini 2.5 Pro solved it on the second try.
- 2y ago
- throwup238 2y ago> - Deep Research (very powerful, but I have only 10 attempts per month, so I end up using roughly zero) Same here, which is a real shame. I've switched to DeepResearch with Gemini 2.5 Pro over the last few days where paid users have a 20/day limit instead of 10/month and it's been great, especially since now Gemini seems to browse 10x more pages than OpenAI Deep Research (on the order of 200-400 pages versus 20-40). The reports are too verbose but having it research random development ideas, or how to do something particularly complex with a specific library, or different approaches or architectures to a problem has been very productive without sliding into vibe coding territory.
- chrisshroba 2y agoI also like Perplexity’s 3/day limit! If I use them up (which I almost never do) I can just refresh the next day
- behnamoh 2y agoI've only ever had to use DeepResearch for academic literature review. What do you guys use it for which hits your quotas so quickly?
- szundi 2y ago[dead]
- sunnybeetroot 2y agoWrite a comparison between X and Y
- jml78 2y agoI use it for mundane shit that I don’t want to spend hours doing. My son and I go to a lot of concerts and collect patches. Unfortunately we started collecting long after we started going to concerts. I had a list of about 30 bands I wanted patches for. I was able to give precise instructions on what I wanted. Deep research came back with direct links for every patch I wanted. It took me two minutes to write up the prompt and it did all the heavy lifting.
- cafeinux 2y ago> 4.5 (better in creative writing, and probably warmer sound thanks to being vinyl based and using analog tube amplifiers, but slower and request limited, and I don't even know which of the other features it supports) Is that an LLM hallucination?
- divan 2y agoLooks like NDA violation )
- cheschire 2y agoIt’s a tongue in cheek reference to how audiophiles claim to hear differences in audio quality.
- SadTrombone 2y agoPretty dark times on HN, when a silly (and obvious) joke gets someone labeled as AI.
- netdevphoenix 2y agoObvious to you perhaps not to everyone. Self-awareness goes a long way
- lxgr 2y agoPossibly, but it's running on 100% wetware, I promise!
- StephenAshmore 2y ago> 4.5 (better in creative writing, and probably warmer sound thanks to being vinyl based and using analog tube amplifiers Ha! That's the funniest and best description of 4.5 I've seen.
- rockwotj 2y agoMy thoughts is this model release is driven by the agentic app push if this year. Since to my knowledge all the big agentic apps (cursor, bolt, shortwave) that I know of use claude 3.7 because it’s so much better at instruction following and tool calling than GPT 4o so this model feels like GPT 4o (or distilled 4.5?) with some post training focusing on what these agentic workloads need most
- cr4zy 2y agoFor code it's actually quite good so far IME. Not quite as good as Gemini 2.5 Pro but much faster. I've integrated it into polychat.co if you want to try it out and compare with other models. I usually ask 2 to 5 models the same question there to reduce the model overload anxiety.
- chrisandchris 2y agoJust ask the first AI that comes to mind which one you could ask.
- anshumankmr 2y agoHey also try out Monday, it did something pretty cool. Its a version of 4o which switched between reasoning and plain token generation on the fly. My guess is that is what GPT V will be.
- konart 2y agoMust be weird to not have an "AI router" in this case.
- SweetSoftPillow 2y agoSwitch to Gemini 2.5 Pro, and be happy. It's better in every aspect.
- miroljub 2y agoWarning to potential users: it's Google.
- tomalbrc 2y agoNot sure how or why OpenAI would be any better?
- miroljub 2y agoIt's not. It's closed source. But Google is still the worst when it comes to privacy. I prefer to use only open source models that don't have the possibility to share my data with a third party.
- jrk 2y agoThe notion that Google is worse at carefully managing PII than a Wild West place like OpenAI (or Meta, or almost any major alternative) is…not an accurate characterization, in my experience. Ad tech companies (and AI companies) obsessively capture data, but Google internally has always been equally obsessive about isolating and protecting that data. Almost no one can touch it; access is highly restricted and carefully managed; anything that even smells adjacent to ML on personal data has gotten high-level employees fired. Fully private and local inference is indeed great, but of the centralized players, Google, Microsoft, and Apple are leagues ahead of the newer generation in conservatism and care around personal data.
- miroljub 2y agoI'm not convinced Google is the gold standard for protecting PII. Data breaches can still happen despite internal controls, and their ad-based business model incentivizes data collection. The "high-level employees getting fired" story sounds like PR - how often does that actually happen? I'm not buying that they're leagues ahead of everyone else in data protection.
- guillaume8375 2y agoWhat do you mean when you say that 4o doesn’t have chain-of-thought?
- youssefabdelm 2y agoDisagree. It's really not complicated at all to me. Not sure why people make a big fuss over this. I don't want an AI automating which AI it chooses for me. I already know through lots of testing intuitively which one I want. If they abstract all this away into one interface I won't know which model I'm getting. I prefer reliability.
- lucaskd 2y agoI'm also very curious of each limit for each model. Never thought about limit before upgrading my plan
- yousif_123123 2y agoI do like the vinyl and analog amplifiers. I certainly hear the warmth in this case.
- xnx 2y agoThis sounds like whole lot of mental overhead to avoid using Gemini.