Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: https://t.co/7m7eEg6Y0B
Tech report: https://t.co/yeu6cjpMCT
Tech blog: https://t.co/YTfiMSNM1f
I’ve been thinking about how many important jobs exist around us… but almost nobody ever talks about them.
So this is Episode 1 of Jobs Nobody Talks About.
Today: Trauma & Biohazard Cleaning.
We always see the police, firefighters, and emergency services arrive. But what happens after everyone leaves?
That’s where these professionals come in. They clean, disinfect, and restore spaces after serious incidents, often in conditions most people could never handle.
This job is technical, physically demanding, emotionally heavy, and absolutely necessary.
And honestly, the biggest thing I learned is this:
They don’t just clean a room.
They help make it safe for someone to return.
More hidden jobs coming soon.
Follow @nowadayskira and tell me which profession I should explore next.
#JobsNobodyTalksAbout #TraumaCleaning #BiohazardCleaning #HiddenCareers #Documentary #CareerStories #UnusualJobs #WorkStories
Il’y une info importante (passée inaperçue dans le paysage médiatique marocain) :
$UBER a lancé une offre publique d’achat pour l’acquisition de @deliveryherocom (Glovo).
Anthropic wouldn’t exist without Google open sourcing the transformers papers. Google could have filed for a patent and gained an AI monopoly. Anthropic trying to eliminate open source when it is built on open source is ironic and not in a fun way.
@Mononofu@JensenHuang This is a false equivalence. Everyone has the right to keep their code private. The problem is when someone tries to stop OTHERS from open sourcing.
think about it for a second.
the founder of a 5 trillion dollar company:
> woke up
> got on twitter dot com
> created and account
> posted an open letter to tell the us government to not kill open model
what a time to be
$GOOGL giving a preview of how earnings will go for rest of the hyperscalers.
Basically saying, "we don't care if you beat by a mile, we want to see you cut CapEx."
After reading @deanwball’s piece, I had the opportunity to read several expert-call transcripts. Having done so, I concluded that his argument is, to some extent, mistaken.
Here is why.
Take DeepSeek as an example.
Even though DeepSeek has open-sourced its model weights and parts of its software architecture, competitors would still find it difficult to replicate its cost advantage.
That is because, while DeepSeek has disclosed most of its model architecture, the critical implementation details and operational know-how remain proprietary.
As a result, even if Chinese or U.S. hyperscalers deploy DeepSeek’s open-source models on identical hardware, DeepSeek’s own deployment environment can achieve—and is already achieving—greater operational efficiency and a lower average inference cost.
This efficiency advantage allows DeepSeek to price tokens through its official API below third-party platforms while still maintaining an API margin of 70%.
Ultimately, China’s decision to release model weights cannot simply be characterized as dumping. Chinese companies may lack sufficient compute capacity to serve all the inference demand themselves, but they are not selling at a loss or failing to recoup their training costs.