toyetic

CS teachers using AI for coursework design sounds insane to me. I graduated right around when GPT3.5 was released and I felt and still feel like surely the coursework itself shouldn't have changed that much? Most cs courses I took were basically

1. Homework: Which was async and could be cheated on anyway 2. Projects: Which were also async and could be cheated on anyway 3. Tests: Which were for the most part in person and for the majority of the grade.

So you could in theory cheat on all homework and projects but were still likely to fail the class. I'm not sure how AI changes that.

Aside from technical improvements to helmets etc (which are good but really only help the margins) I wonder what you can even do to fix this?

Boxing/MMA has the same problem, no matter what rules or gear exist at the end of the day getting hit in the head multiple times consistently for years is going to cause problems.

An obvious choice is to ban the sport but 1. Realistically that won't happen 2. If its consenting adults that know the risks I'm not sure it'd be morally correct to ban it.

I'm only 25 but I remember when games were $40 - $60 lol. GTA 6 is certainly worth the extra price but man I didn't realize how good we had it.

I wanted to use worktree's the same way that cursor/windsurf/jetbrains air etc. do, i.e. but in intellij idea using claude code. It's a bit rudimentary and I wouldn't release it on the marketplace but I made a really good plugin that allows me to work on multiple tasks at once using worktree's and has all the great functionality intellij has.

I'm not entirely convinced the framework comparison holds.

In the case of frameworks ( and higher level programming languages ) you are operating at a new layer of abstraction with the specific intent to hide the lower level, that's the whole point of the framework.

LLM's don't actually move the abstraction layer. You're still coding in react/python/whatever high level language. Yes you can generate the code using natural language but you still need to understand what's being generated, verify its correctness, and reason about the system it fits into. LLMs don't hide anything they produce the code you otherwise would've written and hand it to you to review.

This was my exact thought as well. I think mythos could still be a huge leap but especially as IPO's get closer it seems like we're getting closer to the IPhone 10 moment where anything after is just improvements at the edge.

But ( maybe because it was hardware ) that took 10ish years while it seems like the slowdown here only took about 4

I think this is fine with the caveat that if it does turn out the rust rewrite works just as well as before they should start supporting it again.

Interesting that they're doing it now I wonder why, it wasn't to long ago the CFO was reported as being strongly against it [1]

Personally I hope they do, everyone knows OpenAI is absolutely hemorrhaging money they don't have. In a perfect world an IPO becomes the rip the bandaid off moment for the AI bubble and we can start adjusting the industry as a whole towards a more reasonable world where AI tooling in the market is valued by actual utility and sustainable revenue rather than hype-driven speculation.

[1] https://www.wheresyoured.at/openai-cfo-news/

Totally valid reasons, I haven't had the same experience but I mostly do work on Java or React & Rails in IDEA can't speak to CLion or RustRover etc.

Really my biggest thing for jetbrains is the cost, of course my company pays for a license on my main machine but I've been paying for a personal license as well and have been thinking of making the switch to Zed/NeoVim/VSCode etc. for a while just to save a few bucks every month.

IMO I think we're in the "endgame" as it were of seeing these LLMs slowly turn into multipliers for users who are capable already and also being good at some tasks autonomously. I still don't see ( or really even know ) how we go from that to a world where the majority of businesses, especially SAAS companies only or mostly have Agents doing the critical development work

I have about 3 yoe and agree my friends who’ve gotten laid off took 6months to a year to get a new job and new graduated are taking about the same even longer.

What’s interesting to me is what this looks like in 10 years when the lack of junior engineers and smaller amount of cs grads come to fruition

I think a large part of its valuation was it's ability to compete with search but thats understating it a bit. Unlike search it could/can be the platform users primarily interact with (ala a social media replacement) while having huge impacts on enterprise work and automation. I think its the combination of the ability for effectively one company to compete on every front in the modern web ecosystem thats contributed to the valuation.

It's also important to note the valuation is not just based off of its possible concrete economic implications in these areas but also future "unknown" possibility ( I.E. whatever "agi" means to investors ). Thats not to say I believe it's possible to achieve this but rather a huge part of Sam Altman's job is increasing valuation through unfounded claims of AGI's possibility and possible impact.

I’m sure there’s some middle ground, like presumably Alice could’ve used AI in a way that gave her the same outcome but quicker. Either way I’m not sure what’s wrong with Bobs approach ( or rather why anyone other than Bob should care)? Either he’s doing something that prevents him from learning and growing in a relevant way or he’s not and can continue this method for the rest of his career. Either way that has no effect on Alice’s career.

I've mostly switched to claude code ( using the intellij plugin ) since I like the functionality of claude code more. But I will say the one thing i miss is the tab autocomplete cursor has. It looks like they're mostly going in the direction of agentic development though with this which unfortunately doesn't interest me as much but maybe I'm missing out? I've seen a few people tout the power of using multiple agentic models on different git worktrees.

Currently in my third year working full time and sort of realizing two things. 1. AI ( specifically Claude code and codex ) is really good and can do quite a bit of the work that when I started I had to myself. 2. AI can’t do all of the work and the last 10% ( or 5 or whatever percent it can’t do ) is something I need to do and the only way I can do it properly is if I have a good mental model from the other 90% which doesn’t happen if I use Claude code

So far this year I’ve realized I’m better of not using it except for simple questions I would otherwise google. Not necessarily because it’s bad but because it makes me worse.

Edit: this also sort of applies to my side projects as well. I’m realizing more the value of side project wasn’t the end result ( since those are mostly my own personal apps ) but the learnings gleaned from them I don’t get if I use Claude code.

I'm only 25 and grew up in a post "don't be evil" world so maybe I'm jaded, but it always seems strange to me when companies try to make any moral stand about anything. Presumably if there was something a company could do to make more money they'd do it regardless of the ethical standing behind it b/c

1. The people running the company aren't stupid and want to make more money 2. The company is beholden to investors to make more money both practically and legally

IMO this means the only reason anthropic isn't adding ads is b/c they make more money posturing as the "good guys". As soon as that's no longer true not only are the people in charge going to do it, but there's probably some legal standing that would obligate/compel them to do so

I think this was ( at least in theory ) the goal of the “slop” bowls we’ve seen pop up in the last 15 or so years, chipotle, cava, sweetgreans etc.

Agreed. I’m all for the government trying to help by setting/updating guidlines and I actually agree with the guidelines but ultimately any general advice boils down to - eat a balanced diet of whole grains fruits vegetables and meat, and don’t eat so much of it, just enough to feel full. IMO any specifics on what specifically to/to not eat isn’t helpful unless it’s tailored specifically to someone’s lifestyle.

Basically like you said, telling someone to not drink sugary drinks, stop eating out as much as possible and be more active is the only general advice really needed

Just solo, trying to keep my scope small and since I’m making a “casino rougelite” type of game the main focus will be on the depth of the systems and upgrades.

Happy new year everyone Some good stuff in 25 for me - went to Yellowstone - dislocated my shoulder for the first time, went to pt and feel better than ever - switched jobs for higher pay and better wlb - started getting into game dev with the goal of releasing in summer 26! Here’s to a great 2026 everyone!!

What happens if you give it that context though? Or prompt it to search the web for comparable meals?

This is cool, as someone whose been lifting for ~5 years its nice to see a fleshed out opensource tool for weightlifting.

The main problem with any app I've tried is that after enough experience the bells and whistles of the app don't really matter and mostly what you care about is consistent tracking for progressive overload.

I think this is a good app for people who want to get started weightlifting I would say the two main things needed for wider adoption would be 1. A mobile app ( or pwa, I've made and used my own personal workout app for a while as a PWA and its been just as good as any native app I've tried) 2. A way to save specific workouts as routines and track those for long periods of time

Does anyone know what the actual bill that got signed was. All I can find is a bill that was passed by the house but stuck in the senate

>> but all of these issues seem to be solvable with current tech by applying additional training and/or "agentic" direction.

Can you explain why you think this. From what I gather from other comments it seems like if we continue on current trajectory at best you'd still need a dev who understands the projects context to work in tandem w/ the agent so the code doesn't devolve into slop.