u/thomas_unise

Am I the only person that absolutely hates this feature/experience?

It’s so sensitive and pops up while I’m scrolling. I ask for it not to use it and it still uses it.

I don’t find it useful. I don’t like that it opens in a new tab.

It annoys me so much.

I’m curious if anyone likes it and I’m the weird one

Thanks

Sakana is the frontier lab in Japan, and they just came out with some benchmarks showing that their new fusion model actually outperformed against mythos

I’ll be trying it tonight

Here’s a link to it

https://sakana.ai/fugu/

Artificial Analysis recently posted a chart ranking AI models by their AA-Omniscience Hallucination Rate, and the results are kinda wild.

The benchmark measures how often a model gives an incorrect answer when it should have either refused to answer or admitted it did not know.

Basically, this is not just testing whether a model is smart. It is testing whether the model knows when to stop or refuse to answer .

According to the chart, some open models perform dramatically better than most frontier.

MiniMax M3 is shown with only a 16% hallucination rate, and GLM 5.2 at 28%

while models like DeepSeek V3.1 Reasoning, GPT-OSS 20B Thinking, DeepSeek V4.1, and GPT-5.1 Mini Thinking are shown with hallucination rates in the 90%+ range.

But fable 5 at 55%??

Opus at 36%??

That is the part I do not know if I fully believe.

Why do you think? How does this align. With your experience?

While on X today, I was commenting on a developer at GLM’s posts, and I asked about vision and if they plan to add it, and he responded to me saying that they plan to add it within several months

I don’t really know how long that means, but hopefully by next year first quarter

This would be a huge step up for GLM

So good things to look forward to

This chart is pretty wild.

Open-source models are starting to win the intelligence-per-dollar game

The green quadrant is the sweet spot: smart enough to matter, cheap enough to scale

When you plot AI models by intelligence vs. cost to run, a lot of the closed-source models sit near the top

But the interesting part is the upper-left quadrant: high intelligence, low cost is almost entirely open source

Models like

DeepSeek

GLM

Qwen

Kimi

MiniMax

all show up in the “actually useful intelligence” range while costing dramatically less to run than the major closed API models.

The reality is most tasks don’t require fable level intelligence or cost and people are noticing

The gap is shrinking and the economics are starting to favor open models.

Closed models are still great when you need the absolute best capability with zero infra headache.

But open models give you something different like lower long-term costs, control, privacy and customization

And I think within a year, there will be no difference in most capabilities between them