bel8
There's no question popup, when the LLM wants to ask me something it just asks and waits for my answer as the next prompt.
It has been days now.
Her eyes were much less tired at the end of the day.
> An abliterated model is an open-weight artificial intelligence (Al) language model that has been modified to remove or reduce its built-in refusal behavior without retraining the entire neural network.
That's not the case with Anthropic unless you assume it becomes the single AI provider world-wide.
You're betting against local models, against all Chinese labs, against OpenAI, against Meta's recent SoTA model and against xAI. Doesn't make sense.
Even Kimi K3.1 costs half of Opus 5.5 on openrouter which is the closest indication of cost that we have.
If you control for cost, not only the gap closed, but it switched already.
DeepSeek 4.1 Flash dominates perf/cost for suitable tasks.
And if you do need SOTA, Kimi 3.1 Pro scores 55 on https://artificialanalysis.ai vs 58 of Opus 5.5. And they were released 1 month appart.
Kimi even outperforms Opus on some tasks because it doesn't downgrade its intelligente on cyber and cryptography workloads or ban you if you use it for LLM research.
So the gap is 1 month, or zero, depending on your needs.
Wasn't Lula convicted in 3 levels up to a federal court called STJ?
And then a single federal court judge who never submitted the case to colleagues, simply declared his judgement void based in technicalities?
And then all the investigation restarted from scratch, but since by law he was too old, his crimes prescribed in half the time and he was never investigated again.
The cherry on the top is that this single judge who declared his convictions null was appointed by the felon's political party.
So about a dozen different judges, in municipal, state and federal levels, analysed his multiple charges and declared him guilty in some of them. Then a single federal court judge appointment by the suspect's political party voided all of them.
Content ranking algorithms, specially on social networks, are very complex and usually engineered towards generating engagement.
And it seems to work as intended given the amount of engagement is post.
And it is much more token efficient. There are numbers down in comments of this post.
So most of those points are indeed true. While others look like exaggeration, expected from aggressive marketing campaigns.
Do you really just ask the model to pick any backend stack and pray it works?
And you can't duct tape your way into Ruby type checking and hope to beat the likes of C#, Java, Rust, Go. TypeScript.
Rails (and Ruby) made tradeoffs to please humans. Some of those tradeoffs became downsides now with AI.
- Three.js for rendering
- react 18+ UI built with Vite
- charts are custom, no libs
- main bundle size is a js file of 1MB (290KB gziped)
- No router, no redux/zustand
- saves using indexedDB + service-workerIt was nothing new tho. They broke existing software. This is caught by basic software regression test. That's engineering 101.
I highly suspect models like Sol would be much more expensive without Chinese competition.
So to a point Sota pricing is already affected depending who you ask. And the tendency is for the gap to tighten.
Both in Chrome and Firefox.
And that model was not top 5 even when it was released, 3 months ago.
I wouldn't expect that.
But it's probably n=1. Still.
You'll have a hard time finding electronic devices not made in China. And all of them have software which is harder to monitor and debug than LLMs.
So I don't think distrust for Chinese LLMs will hold.
Less competition.