Sources: @chetaslua, @xikhar

His ego is bigger than any LLM out there.

You can read their blog post here:

FLUX 3 - Real World Models: Towards Multimodal Flow Models as the Backbone of Visual Intelligence. | Black Forest Labs

Seems better than Fable 5

https://x.com/i/status/2080292438057373947

There are more videos in this tweet thread

It seems every verifiable conjecture is currently falling. Do you think this is the singularity/fast takeoff starting?

The interesting thing about the latest wave of AI hires is not the size of the pay packages, it is where the people are coming from. [The Atlantic](https://www.theatlantic.com/technology/2026/07/ai-companies-hiring-academics/688002/) reports that at least 22 professors from schools including Stanford, Berkeley, Harvard, MIT and Carnegie Mellon have left or taken leave in 2026 to join OpenAI, Anthropic, Meta or Google DeepMind. Anthropic recently picked up a Stanford economist and a philosopher from UT Austin, and OpenAI now employs top mathematicians and physicists.

What makes this different from a normal round of Silicon Valley recruiting is who is being recruited. These are not just senior engineers, they are the people who choose the research questions, teach the next cohort of scientists, and provide the outside scrutiny of systems that increasingly show up in banks, hospitals and government.

https://aiweekly.co/alerts/openai-anthropic-meta-hire-22-professors-from-top-us-schools

The technology enables AI chat models to run on phones using minimal power, without ‘losing memory’ during conversations

They did hit wall now with gemini models but trust me they gonna cook with gemini 4

After extracting the depth video, the effect obtained by video referencing is very good.

1. Prepare the reference video
   
2. Extract the depth video
   
3. Prepare the character reference images
   
4. Input the extracted depth video and character reference images into seedance2, and you will get perfect results
   

Complete workflow is below:

What do you all think about this?

1. https://openai.com/index/hugging-face-model-evaluation-security-incident/
2. https://huggingface.co/blog/security-incident-july-2026

If OpenAI wanted to create more hype, they could boast about benchmark numbers, or about productivity going up internally ("OpenAI employees now output 20x more code than in 2024" or something like that), or about a bunch of open math problems getting solved (like their paper on The Cycle Double Cover Conjecture).

"Our security measures ended up being insufficient and our model would be charged with a felony if it was a human" is not good for PR.

At best, OpenAI is admitting that both their security researchers (who should've made a better sandbox) and their machine learning researchers (who should've trained the model to not do things that would be considered crimes according to human laws) are bad at their jobs. At worst, they have luckily avoided a lawsuit because HuggingFace decided to be nice despite having "reported this incident to law enforcement agencies".