Maybe so, but 15-20 year old laptops are definitely starting to show their age.
An M2 MacBook Pro, on the other hand, is only 4 years old, has a fairly OK keyboard, and is still in striking distance of current high-end ultrabooks when it comes to performance.
The only thing my X230 struggles to do is run LLMs locally. My needs are simple, and I think normal people (i.e. probably not most people on this site) don't have needs that are any more demanding than mine.
Granted, this is running GNU/Linux rather than Windows. If you're running Windows then yeah, they show their age.
I think an X230 would be performant enough for 95% of the things I do, but a 14 year old CPU is going to have pretty terrible battery life for anything more than very light usage. And things that would be light usage on a recent PC, like watching video encoded with a modern codec, would be fairly taxing on an old CPU with no hardware decode.
True. By the time I upgraded from my X200 (fantastic machine, noticeably outdated), the lack of software support for hardware decoding H264 was noticeable. Also being stuck with OpenGL 2.1 isn't the best either.
I don't know what I'll do if and when my X230 stops being sufficient. If I could buy an Apple motherboard in an X200 chassis I'd do it in a heartbeat.
Congrats, but I think you may be in a small minority when it comes to developers shopping for laptops.
Personally, I had to upgrade from a late-model i9 MacBook Pro to this M2 MacBook Pro, because the npm + docker setup at work was taking upwards of 20 minutes for a production build...
>The only thing my X230 struggles to do is run LLMs locally. My needs are simple, and I think normal people (i.e. probably not most people on this site) don't have needs that are any more demanding than mine.
People who edit video or make music and other such tasks are totally normal too, and there are hundreds of millions of them
I think maybe you don't understand what the needs are of normal people. It's only partially about what software they run.
I recommend Mac's to the people in my life because when they have a problem they can take the machine to the Apple Store in the mall. Or if they want to understand iPhoto or Pages better, they can go to the Apple Store and take a class. They like Apple laptops because they look nice, they feel great, sound amazing (for a laptop) and have excellent battery life.
Like you, I have a ThinkPad (a P-something) and, frankly, it kind of sucks. It's all plasticy, it flexes, battery life is a joke, the trackpad is meh, and the fans are almost always running. I do like the keyboard though (I'm a fan of backspace).
Yes these are found in a few places in Egypt and notably some are dug vertically [0]. Along with these "scoop" marks there are a few tombs "boxes at serapeum" that have nearly perfectly squared off cuts and perfectly smooth surfaces. [1] These are the main points of contention
We are leaning into conspiracy theories / not accepted history but making these marks with the currently thought tools seems quite insensible, and are related to the article. Folks seem to think we have not found the real tools that created these structures. The vertical inward scoop marks are especially suspect.
My mother did, for Christmas. It was a goose that ended up being raw in a lot of places.
I then pointed out this same inconsistency to her, and that she shouldn't put stock in what Gemini says. Testing it myself, it would give results between 47c-57c. And sometimes it would just trip out and give the health-approved temperature, which is 74c (!).
Edit: just tested it again and it still happens. But inconsistency isn't a surprise for anyone who actually knows how LLMs work.
I just asked gemini 3 5 times: `what temperature I should take a waterfowl out of the oven`
and received generic advice every single time it gave nearly identical charts. 165F was in every response. LLMs are unpredictable yes. But I am more skeptical it would give incorrect answers (raw goose) rather than your mother preparing the fowl wrong.
Cooking correctly is a skill, just as prompting is. Ask 10 people how to cook fowl and their answers will mimic the LLM.
> But inconsistency isn't a surprise for anyone who actually knows how LLMs work
Exactly. These people saying they've gotten good results for the same question aren't countering your argument. All they're doing is proving that sometimes it can output good results. But a tool that's randomly right or wrong is not a very useful one. You can't trust any of its output unless you can validate it. And for a lot of the questions people ask of it, if you have to validate it, there was no reason to use the LLM in the first place.
Yes, there is no source code in here. This is their scripts / tooling / prompts repo. The actual code that powers their CC terminal CLI does not exist anywhere on their public GitHub
It is available on npm but it’s a wasm file last I checked. You also don’t need it to find their endpoints, people are just seeing what networks calls are made when they use Claude Code and then try to get other agents to call those endpoints.
The hard part is that they have an Anthropic-compatible API that’s different than completion/responses.
Are you in a top tier city? Very very few cafes are open late (later than 8pm) in cities and if youre not in a big city, Chicago, NYC, Seattle etc etc you will likely have none open that late. It's definitely a culture thing. Not many folks are drinking coffee / hanging out that late in cafes. Enough do, but nowhere near as much as Europeans do
Usually you go to a cafe in the morning, and to a pub in the evening. I could wax poetic about the joy of having a beer in the late afternoon, before the place fills up.
I was born and raised in Canada. I manage to keep up my routine just fine when I visit. Sure, the cafes are in the middle of a parking lot by a box store, but in a pinch they'll do.
This is hardly a "top tier city" thing. I went on many road trips and pretty much always managed to start my day with a slow coffee, even in the smallest towns.
