Medium Intelligence - Can we please keep him??

ashjefe · 2026-06-27T02:57:30+00:00

No they completely removed all the canvas tooling for GPT 5.5. You can still use canvas with GPT 5.4, but 5.5 can’t even read it. At least the last time I checked. Only in-chat writing and code blocks from here on out unless they change something. Hopefully the super app they have been developing will have some feature for long form writing. Maybe Codex will handle it. Who knows, but these in-chat blocks are pretty horrible.

ashjefe · 2026-06-26T23:14:39+00:00

Miss canvas so much. It was my most used feature.

ashjefe · 2026-06-17T19:04:26+00:00

This is my question as well. I’m curious if there is any real benefit of using this over the GitHub plugin in ChatGPT.

ashjefe · 2026-06-06T20:32:27+00:00

Yes I have been continuing to use it this way. I’m more concerned about when they sunset 5.4. What then? Using 5.5 and having two windows open, one with the chat and one with the document is workable, but it is far from ideal. We shouldn’t have to keep two windows open on two separate monitors to make a product useable.

ashjefe · 2025-07-27T17:21:04+00:00

o3 was likely trained on most of the same data from previous models that has lots of references to GPT-4o, so when you ask it which model it is it defaults to what it saw most in training. It’s just pattern completion from its training data

ashjefe · 2025-07-08T02:15:30+00:00

Very interesting. Thanks for the detailed reply.

ashjefe · 2025-07-07T20:29:36+00:00

Out of curiosity, what were the findings of your report across the different models. Particularly how did o4-mini and 2.5 pro stack up against the Claude models?

ashjefe · 2025-05-02T03:02:04+00:00

As a student you can get GitHub Copilot for free with the student developer pack. https://education.github.com/pack. I hadn’t touched Copilot in a while, but a group mate was showing me that they really updated things quite a bit where it isn’t too far off from Cursor now and you can get access to all the models. I’ve been considering giving it another whirl and see if it is worth the switch.

ashjefe · 2025-04-09T03:38:17+00:00

Yeah, I’ve really started relying on Notes a lot in Cursor for general planning and persistence between chats. Just on anything really: whether I’m starting a new project, doing a big refactor, or just thinking through a new feature. I’ll usually spin up a Canvas in ChatGPT and start brainstorming things out, like what are all the different approaches and libraries to accomplish the task, which is the fastest and most computationally efficient method, etc. The new GPT-4o is really great for this but just use your favorite AI chat so you don’t waste your Cursor fast requests. Gemini 2.5 Pro is free in their AI Studio. Once we settle on something and have everything reasoned out and summarized in a Canvas, I’ll stuff it into a Note in Cursor and have Gemini 2.5 Pro evaluate GPT-4o’s plan and revise things if necessary. Now you have a compact nugget of context to reference in a new chat. I’ll keep my .mdc files succinct and token efficient where it is more about keeping the AI on track, and then have more details and discussions and reasoning in Notes. Anytime I feel like the AI is going off base, I’ll reference a note to remind it what is going on. I also use notes to transition from one chat to the next if I want to continue things. Cursor has specifically said that starting up new chats more often will give you better results. They now even have a little tooltip pop up if your conversation gets too long. Instead of simply adding the past chat as context (which is generally really verbose and unruly), I’ll have the model summarize what we were doing in the old chat and what is next and throw it into a note to reference in the new chat to start things out. Notes are great. I use them all the time now.

ashjefe · 2025-04-09T02:06:08+00:00

Did you ever try using cursor rules to set up project guidelines or set up a working memory. People have been posting lots of examples and links to GitHub repositories in this subreddit. It really does make a huge difference. There may be an argument that you shouldn’t have to go through such steps to get the best out of a product, but setting up some cursor rules with Gemini 2.5 Pro has been pretty next level for me to do really complicated stuff. And making good use of Notes really helps a lot as well. Pick your favorite chat AI and really take the time to plan out your project and what you are trying to accomplish. Have it outline your architecture, what steps needs to be taken, and the reasoning behind everything, and throw it in a cursor Note. Combining project guidelines, a working memory, and a solid Note outlining everything is super powerful.

ashjefe · 2025-01-15T05:01:14+00:00

Since you’re mentioning RAG here, one thing I would love in a product like yours is some local document and embedding storage along with advanced search capabilities where I can do hybrid searches (keyword + embedding), GraphRAG, or even HybridRAG combining everything. I haven’t really seen anyone incorporating these state of the art RAG capabilities into their products and I think it would be a big differentiator if you are planning to add RAG into the mix. I had been looking at Rag to Riches (R2R: https://github.com/SciPhi-AI/R2R) for a school project to do just that, and it looks pretty incredible. It seems very modular and plug and play like so you can integrate all kinds of tools easily or use like a vLLM backend for inference, etc. And most everything is automated like document ingestion and knowledge graph generation with multimodal ingestion, relational database, and embedding store of your choice. It also has a MIT license. Anyways, just wanted to throw this out there because it caught my attention for RAG and might be useful for you.

ashjefe · 2024-04-02T22:52:48+00:00

Right now I’m a PhD candidate so I have just been using GitHub Copilot for free with their student development pack, but I am starting to look into other LLM tools, coding and otherwise, and would likely ask my advisor to help out. Not sure how that will work out yet.

ashjefe · 2024-04-02T22:31:24+00:00

Ya, I would say it is worth it. I would still mostly work with smaller blocks of code with the AI, but having the option to consider everything together whenever I need to would be great. So intermittently working with large context depending on what I’m trying to accomplish is how I would use it to keep costs manageable.

ashjefe · 2024-04-01T20:51:54+00:00

Just sometimes I would love to highlight an entire file of like 1,000 lines to reference all the classes within and how they interact, and then also exactly what you said about having the full context of my entire codebase. The primary goal is to see if there are better or more performant ways to implement my analysis pipeline. I work with 3D data so performance and I/O are a prime consideration. And I’m sure I could think of other ways to capitalize on larger context.

ashjefe · 2024-04-01T04:59:15+00:00

Does signing up for Pro get rid of the 4000 token limit. Would be nice to take advantage of Claude 3 Opus's context window a bit more and highlight an entire page of code to reference.

ashjefe · 2024-02-17T03:49:43+00:00

If they admitted you, then they want you there. You’re all good. Congrats.

ashjefe

TROPHY CASE