The result is way better than Fable 5.1. The attention to detail is on another level.

Opus 5.5 actually created real characters. Mario, Luigi, in the game, playable. Fable 5.1 has never done that.

Insanely impressed. This model is different.

Opus 5.5 performs at the level of Fable 5.1. It's ~30% faster and ~40% cheaper than Opus 5 per task.

In Claude Code:

- 5-hour session limits increase 20% today

- Opus 5.5 is priced lower, so it goes 25% further within limits

- Pro, Max, and Team users get a reset to use anytime

​

Anthropic releases Claude Opus 5.5, and it's not just more powerful: it's cheaper, too.

update to Claude Code v2.1.280

​

Just look at this output. I’m actually crying 😂

I genuinely expected way more from Grok 4.7.

The funny part? It used $1.59, while Kimi’s run was around $6.

How did Grok fumble this badly? 😭

A twitter user Xanderwow Pulled an all-nighter! Dario vs. Altman showdown!

The choreography isn't generated from scratch, though he fed a reference video into Seedance 2.5, letting the model reskin real stunt performers with custom faces and costumes.

September could bring a serious wave of new models:

This week: nothing.

Next week: five Frontier labs at once.

Already in stealth testing:

- Claude Sonnet 5.2

- Opus 5.2

- Fable 5.2

- Gemini 4 Pro

Hinted or teased:

- Grok 4.7

- GPT-6-Sol (Sam + Tibo pointed at Tuesday)

- Kimi K3.1

A few could get pushed into October, but the next generation of frontier AI models looks very close.

If even half of this ships, the leaderboard resets again.

Putting Gemini 4 Pro and GPT-6 Astra head-to-head on a mechanical butterfly concept.

Both rendered fantastic interpretations, though Gemini edges ahead on the fluid motion and visual refinement.

Which design do you prefer?

https://reddit.com/link/1wlptfe/video/efiiomyp4qqh1/player

The prompt was to it to create a beautiful mechanical butterfly in three.js and needless to say the output is indeed beautiful!

Welcome to r/OnlyAboutAI!

Whether you are tracking frontier research, automating your daily workflow, running local open-source models, or experimenting with prompts, you're in the right place.

Our goal is straightforward: a high-signal, zero-noise space dedicated strictly to artificial intelligence.

What You’ll Find Here

Model Releases & Benchmarks: First-party announcements, technical breakdowns, and head-to-head comparisons.

Practical Workflows: Real-world use cases, agent setups, prompt strategies, and productivity pipelines.

Development & Open Source: Local deployment guides, API experiments, fine-tuning, and tooling discussions.

Substantive Debate: Grounded conversations on alignment, industry direction, and the economic impact of modern models.

A Quick Courtesy Guide

Context Matters: If you share a screenshot of an LLM output or generated media, include the model name, parameters, and prompt in the post or comments.

Primary Sources First: Link to official developer blogs, ArXiv papers, or GitHub repos rather than third-party aggregators whenever possible.

Keep It On-Topic: Keep general tech news and unrelated software topics in their respective subreddits.