wizee

The quality of natural language output from today’s LLMs seems no better and often worse than LLMs from 18 months ago, at least in my experience. It’s much harder to build a good RL loop for something subjective like good writing, compared to something with an objective and verifiable right or wrong answer, such as software or mathematics.

For software development tasks, Qwen 3.8 27B is genuinely excellent, but you need 32+ GB of VRAM to run it well with decent context, and enough memory bandwidth and compute to run it at a decent pace. With an M5 Max Mac Studio, you can do that decently well.

Wow, super cool! It works quite well, looks nice, and really covers the whole city. I'd love to build something similar for my own home city.

Qwen 3.6 27B is quite good for agentic coding, and practical to run on consumer hardware. You need a system with either 32+ GB VRAM, or a unified memory system with 48+ GB VRAM and a decent integrated GPU. While not cheap, such a setup is still attainable for much of the world, and will eventually get cheaper over time. Open models hosted on non-American clouds also remain an option with a much lower barrier to entry, for cases where privacy is less critical.

They're comparing to Opus 4.6, not 4.5. It was Anthropic's best public model up until last week.

I run Qwen 3.5 122B-A10B on my MacBook Pro, and in my experience its capability level for programming and code comprehension tasks is roughly that of Claude Sonnet 3.7. Honestly I find that pretty amazing, having something with capability roughly equivalent to frontier models of an year ago running locally on my laptop for free. I’m eager to try Qwen 3.6 122B-A10B when it’s released.

It’s worth also comparing Qwen 3.5, it’s a very strong model. Different benchmarks give different results, but in general Qwen 3.5, GLM 5, and Kimi K2.5 are all excellent models, and not too far from current SOTA models in capability/intelligence. In my own non-coding tests, they were better than Gemini 3.1 flash. They’re comparable to the best American models from 6 months ago.

JPEG-XL provides the best migration path for image conversion from JPEG, with lossless recompression. It also supports arbitrary HDR bit depths (up to 32 bits per channel) unlike AVIF, and generally its HDR support is much better than AVIF. Other operating systems and applications were making strides towards adopting this format, but Google was up till now stubbornly holding the web back in their refusal to support JPEG-XL in favour of AVIF which they were pushing. I’m glad to hear they’re finally reconsidering. Let’s hope this leads to resources being dedicated to help build and maintain a performant and memory safe decoder (in Rust?).

153 GB/s is not bad at all for a base model; the Nvidia DGX Spark has only 273 GB/s memory bandwidth despite being billed as a desktop "AI supercomputer".

Models like Qwen 3 30B-A3B and GPT-OSS 20B, both quite decent, should be able to run at 30+ tokens/sec at typical (4-bit) quantizations.

It's colleges they they have been clamping down on, as they were bringing in absolutely massive numbers of mostly Indian students who were coming mainly to work in low-end jobs and get out of India rather than to legitimately study.

The number of graduate students being allowed in hasn't changed significantly, and undergraduate university students are also continuing to be brought in at rates similar to pre-pandemic times.

Mistral models are largely along the likes of what you were asking for. However, Grok (any version) absolutely is not a “don’t say gay” model, it talks about sexuality of all forms quite openly and fairly and is happy to produce creative content of any level of explicitness about these topics. It’s the least censored unmodified model I’ve encountered on any topic. People dismiss Grok as a Nazi model based on Musk’s politics without using it themselves.

That’s the thing - old German compact luxury sedans from the 80s had the control feel, balance, and light weight you get from a Porsche, while also being practical family cars. There’s nothing like that made today. They were also decently safe and comfortable and reliable and generally just good.

Also the bigger ones like the W126, while not as light and agile as a Porsche or Lotus, still had similar control feel, very comfortable and spacious interiors, and could glide over the worst most broken and potholed roads better than any modern car I’ve driven. They’re also much simpler than any modern luxury cars, much less to break, and they just keep going and going as long as you take basic care. From personal experience, a much younger used W220 or W221 S class needs far more maintenance and repair than an old W126.

The more powerful but still reliable engines and nicer transmissions of the late W140 or W220 would be nice to have in a W126 though. My problem with the newer S classes is the complexity and fragility of the rest of the car.

Of course, these are 40 year old cars and need more care and maintenance than a new car, but they’re not too bad either as long as you get a good example of the car. They’re pretty reliable once sorted, and can last a very long time and very high mileage as long as they’re at least somewhat cared for.

Aside from the Mazda MX-5 (which isn’t the most practical car), almost all small, simple, and light cars made today are econoboxes. They’re not designed to have the rich control feel, balanced and satisfying handling near the limits, responsiveness, material quality, suspension sophistication, etc. compared to say German luxury compact cars of the 1980s (BMW E30 or M-B W201). Even cars like 90s Hondas, while front wheel drive and built to a much lower price point, had rich control feel, liveliness, and agility that modern cars don’t give.

Modern luxury cars from essentially all brands around the world have become huge, heavy, numb, and over-complicated. They’re much faster and quieter than the say the old Benzes and BMWs of the 80s, but they don’t have the fun raw feel, small size, light weight, tossability, and simplicity of the old cars.

A BMW E30 or M-B W201 have a weight somewhere between a Mazda MX-5 and Subaru BRZ, but are far more practical than either for passengers and cargo despite being around the same width and only slightly longer.

The only modern cars with similar size and weight are some European market compact cars and econoboxes like the Mitsubishi Mirage, Nissan Micra, and Chevy Spark (which are also disappearing from North America). For steering feel, handling, general raw and connected driving feel, powertrain responsiveness, and interior quality, these modern economy cars can’t compete. Some of the European market specific B-segment cars come closest to those older compact luxury cars, but they still don’t match them for the qualities I described.

Kit cars generally suck from a practical perspective compared to well engineered 80s/90s cars and aren’t a very practical option either.