I’ve been trying different AI tools lately, and I’m starting to notice that each one has its own strengths and weaknesses. Some feel better for writing. Some are better for research. Some are stronger for coding, image generation, brainstorming, or organizing messy ideas. For people who use AI regularly, what tool do you trust most for specific tasks, and which ones do you avoid for certain work?
AI companies started with very cheap subscriptions and it's been hardly 1 year and costs has increased 10-50x in a lot of cases. A lot of companies are still using Coding agents as they don't want to miss out on AI. I see AI companies valuation from trillion dollars to low hundred billion maybe by next year. Reason I think is, corporates are spending upto $500 per month per employee and local AI models are becoming good. So companies can just spend 1000 USD more on beefy 128GB machines and save ...
Currently sitting at $500/mint recurring. No marketing, just word of mouth. I don’t run ads or any kind of advertisement. I named it “Champ”. One of my buddies used it to recently make $3000+ on a parlay recently Just sharing something I thought was cool and would’ve taken me MONTHS to perfect before Ai came out. TL;DR Built a buddie you can text like a friend who pretty much knows everything about games happening today with pretty good accuracy.
i'm trying to figure out what user context actually belongs inside AI apps. not the creepy “track everything” version. more like: writing style, preferred tools, current projects, interests, maybe a limited summary from chatgpt history if the user approves it. the hard part is that too little context makes the app generic, but too much context feels invasive fast. if an OpenAI-powered app asked for specific consented context, what would feel reasonable vs too much? submitted by &...
The article is about how OpenAI and Anthropic each build data agents differently, and what that reveals about the challenge of making AI useful on real enterprise data. It shows that raw file access alone is not enough - agents need metadata, schemas, lineage, and other context to work reliably with data stored in systems like S3: We read OpenAI's and Anthropic's data-agent posts - DataChain OpenAI’s internal system is described as working well because it sits on top of a rich warehouse e...
I won $2.5k in API credits, and don't know what to do. I'm a developer, and can build apps, etc., but really don't have any use of OpenAI credits at the moment. These also expire in a year. Does anyone here have any suggestions on how to most effectively use these, what I could build, or how I could potentially transfer/sell them before they expire? Thanks!
It's very disappointing to see the comments under some of those posts, and it's making me lose faith in humanity... Like come on. The last thing people desperate enough to turn to chat gpt need is another punch in the gut. You never know what someone is going through, and if you truly have no idea, it's because you've never been through anything remotely similar. It costs nothing to be kind, nothing to be a bit more considerate. [link...
Is it just me, or does anyone else find they can't help themselves troll AI sometimes. Like I will use Claude for a long research project, write and refine a report, and once done I just love fucking with it. Like asking it to rewrite the report because I am going to send it over to a 4 year old to review, so if you could please put the whole thing in baby talk. Or ask it what I can put on the slides when I present it in order to guarantee that anyone who sees it will become incredibly attra...