GaggiX

If you don't need SOTA or near SOTA there are plenty of dirt cheap models, just look at Gemma 4 31B on Openrouter.

The fact that a nation provides free access to SOTA models to all his citizen via this partnership, I mean it's not something I have seen before, therefore I find it interesting, also Malta is not too far from me.

I'm not Maltese and I did find it interesting.

The C compiler written by Claude a few months was able to compile a hello world.

The main problem I think that it was extremely slow.

Using larger contexts often costs more in the APIs or consume more of your quota but this is becoming less of a problem with models using more clever attention mechanisms and not just full attention on all layers.

You can look at: https://sebastianraschka.com/llm-architecture-gallery/ and see how much things have changed.

First G-shock G-LIDE*

The model uses Gated DeltaNet and Gated Attention so the memory usage of the KV cache is very low, even at BF16 precision.

At 4-bit quantization it should already fit quite nicely.

Fil-C is much slower, no free lunch, if you want the language to be fast and memory safe you need to add restrictions to allow proper static analysis of the code.

Much better idea to just buy oil and gas from Russia /s

MiniMax M2.7, MiMo-V2-Pro, GLM-5, GLM5-turbo, Kimi K2.5, DeepSeek V3.2, Step 3.5 Flash (this last one is particularly cheap while still being powerful).

There are plenty of good models on Openrouter that are very cheap, maybe it's time to experiment with alternatives.

>so despite the name it is probably best compared with the 8B/9B

It runs much faster than a standard 8B/9B model, the name is given by the fact that it uses per-layer embedding (PLE).

There is also: https://github.com/linto-ai/whisper-timestamped

It doesn't use an extra model (so it supports every language that works with Whisper out of the box and use less memory), it works by applying Dynamic Time Warping to cross-attention weights.

I will copy the supermarket and paste it somewhere else.

I'm also going to download a car.

Because the internet is noisy and not up to date all recent LLMs are trained using Reinforcement Learning with Verifiable Rewards, if a model has learned the wrong signature of a function for example it would be apparent when executing the code.

These projects are the new "To-Do List" app.

I'm not from Pakistan but Karachi is the only vertical city in Pakistan, most people lives in apartment buildings, I would suggest looking at other cities like Lahore.

It may be survivorship bias, you only notice the AI ones that are bad.

>It's clear how insane this culture war against trans people is when you consider this only applies to trans women and not trans men?

I believe the logic is based on the fact that male athletes are stronger than female athletes.

I was not expecting so many improvements in this version alone, I'm impressed. I was already using it for 3d printing but now it seems it's getting actually good, makes me wonder how I was able to use the previous version.

You can train a LLM on just multiplication and test it on ones it has never seen before, it's nothing particularly magical.

Open source models like MiniMax M2.5, GLM 5, Kimi K2.5 were not decent enough? (via openrouter)

I have used Soundcore q20i for more than a year, and I'm sure the AirPods have a better sound and have a better noise cancelling, but the difference in price $549 and 30€ (as I bought them) is pretty insane, also my Soundcore q20i last much longer than 20h and the noise cancelling is already quite good.

Edit: also has a proper cushion on the headband.

Nowadays Starlink terminals to operate in Ukraine they have to be approved so right now Russians cannot waste them anymore on drones as it's much harder getting one working (in the past they have been).

I have no idea how a London market in the 18th century should look like so I cannot challenge that but recent models like nano banana ones, Z-image (on a lesser extend) can generate images that are essentially indistinguishable from actual stock photos, this wasn't true for late 2024 models, with wonky backgrounds, too smooth skins and general lack of details (the classic AI-look that AI images had).

Image quality has improved a lot in recent months thanks to better models. The ability of people to notice these improvements is plateauing because they are not trained to spot artifacts, which are becoming more obscure.

How the "costant function" result fits the data points better than a slope that has two parameters instead of one.

This reminds me when people were doing crazy stuff to improve the first Stable Diffusion model by swapping layers, interpolating weights, documenting which layer was most responsible for the quality of the hands etc. At the end the final models had dozens of different ancestors.

>and was likely determined by AI

Based on what? It could be just grep "police".

Also, I cannot find any other sources mentioning that the "Police Park" was bombed except for this tweet: https://x.com/tparsi/status/2029555364262228454 (also used by the page you linked)