GaggiX

>Even though it feels vibed

Where does it feel vibed?

Is opus being used for the audio or it's not the solution for extreme lossy compression?

I love this, hope to see a AV2 version at 8MB

I would love to see comparisons with AV1 on very low bitrates.

The giant Umarell in the background is a nice piece of furniture.

Edit: I noticed later it was in Milan, I guess it makes perfect sense.

Given your definition what's the difference between AGI and superintelligence?

AGI should at least match, not surpass humans in every cognitive task.

I wonder does it mean that ublock origin has anti-anti-adblock functionality? (My guess is yes but I wanted to take the opportunity to spell that word)

If don't want to spend 1.5$/9$ for the lastest model then yes use a cheaper model, DeepSeek V4 Flash is 0.11$/0.22$ on OpenRouter and it's more capable than the most expensive model a year ago. Models have never been so cheap given their capabilities unless you want to follow the SOTA (where the hype is).

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.