My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
171–180 of 415 posts
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#172Earlier quoted context omitted.
Cool — if only diagonals were easier. ;-) (Hopefully I'm being constructive here.)
Yep I tried to have it improve that but actually didn't use the word 'diagonal' in the prompt. I bet it would have done better if I had..
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#173> My 2.5 year old with their laptop can write Space Invaders
For a few hundred milliseconds there I was thinking "these damn kids are getting good with tablets"
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#174With the Anthropic rug pull on quotas for Max, I feel the short-mid term value sweet spot will be a Frankensteined together “Claude as orchestrator/coder, falling back to local models as quota limits approach” tool suite.
People are going to explore and get comfortable with alternatives.
There may have been other ways to deal with the cases they were worried about.
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#175Earlier quoted context omitted.
The frontier models are always going to tempt you with their higher quality and quicker generation, IMO.
I’ve been mentally mapping tge models to the history of db. Most db in the early days you had to pay for. There are still for pay db that are just better than ones you don’t pay for. Some teams think that the cost is worth the improvements and there is a (tough) business there. Fortunes were made in the early days. But eventually open source models became good enough for many use cases and they have their own advanta…
My only feedback is: are these the same animal? Can we compare an O/S DB vs. paid/closed DB to me running an LLM locally? The biggest issue right now with LLMs is simply the cost of the hardware to run one locally, not the quality of the actual software (the model).
[1] e.g. SQL Server Express is good enough for a lot of tasks, and I guess would be roughly equivalent to the upcoming open versions of GPT vs. the frontier version.
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#176The GML-4.5 model utterly fails at creating ASCII art or factorizing numbers. It can "write" Space Invaders because there are literally thousands of open source projects out there. This is another example of LLMs being dumb copiers that do understand human prompts. But there is one positive side to this: If this photocopying business can be run locally, the stocks of OpenAI etc. should got to zero.
Why would you use an LLM to factorize numbers?
Also, you know it they fail they could say so instead of giving a hallucinated answer. First the models lie and say that a 20 digit number takes vast amounts of computing. Then, if pointed to a factorization program they pretend to execute it and lie about the output.
There is no intelligence or flexibility apart from stealing other people's open source code.
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#177Very impressive model! The SVG pelican designed by GLM 4.5 in Simon's adjacent article is the most accurate I've seen yet.
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#178Earlier quoted context omitted.
you are almost certainly better off renting GPUs, but i understand self-hosting is an HN touchstone
This. Especially if you just want to try a bunch of different things out. Renting is insanely cheap -- to the point where I don't understand how the renters are making their money back unless they stole the hardware and power. It can really help you figure a ton of things out before you blow the cash on your own hardware.
Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#179Re: My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
#180Did you understand the implementation or just that it produced a result? I would hope an LLM could spit out a cobbled form of answer to a common interview question. Today a colleague presented data changes and used an LLM to build a display app for the JSON for presentation. Why did they not just pipe the JSON into our already working app that displays this data? People around me for the most part are using LLMs to e…
I scanned the code and understood what it was doing, but I didn't spend much time on it once I'd seen that it worked. If I'm writing code for production systems using LLMs I still review every single line - my personal rule is I need to be able to explain how it works to someone else before I'm willing to commit it. I wrote a whole lot more about my approach to using LLMs to help write "real" code here: https://simon…