Anthropic, the wildly successful AI company that has cast itself as the most safety-conscious of the top research labs, is dropping the central pledge of its flagship safety policy, company officials tell TIME.
Actions by the president and the Pentagon appeared to drive a wedge between Washington and the tech industry, whose leaders and workers spoke out for the start-up.
Regular LoRA training is basically a standard gradient descent optimization loop where you have to curate a dataset, run backpropagation, and slowly update the low-rank matrices over many steps. It is computationally expensive and tedious every single time you want to teach the model a new trick or feed it a new document.
Palantir Technologies has a permanent desk at the U.S.-led Civil Military Coordination Center (CMCC) headquarters in southern Israel, three sources from the diplomatic community inside the CMCC told Drop Site News. According to the sources, the artificial intelligence data analytics giant is providing the technological architecture for tracking the delivery and distribution of aid to Gaza.
DRAM pricing is what it is because AI investment frenzy is so intense. Western/NVIDIA centered AI will be more expensive too, because they are chasing so hard all of the memory (mostly) and TSMC capacity. Hurting all other computer companies. They can extort US/western customers even harder, making AI either more expensive or losing more money for their customers, by diverting/dumping H200/memory supply to abundantly powered Chinese customers, to try and slow down Huawei sales.
Machine learning community has been stuck on the autoregressive bottleneck for years, but a new paper shows that it’s possible to use diffusion models to work on discrete at scale. The researchers trained two coding focused models named Mercury Coder Mini and Small that completely shatter the current speed and quality tradeoff.
Reddit has been fined more than £14 million (€16 million) by the UK’s information watchdog, accusing the social media giant of failing to protect children and leaving them vulnerable to “inappropriate and harmful content”.
This paper is honestly one of the most creative takes on LLM reasoning I’ve seen in a while. The team at ByteDance basically argues that we should view Long Chain-of-Thought as a macromolecular structure with internal forces that hold the logic together. They found that when we try to teach a model to reason by simply distilling keywords from a teacher, it fails because it’s like trying to build a protein by looking at a photo of it rather than understanding the atomic bonds.
Palliser Capital recently sent a letter to Toto, the $7 billion Japanese toilet maker. They called the company “the most undervalued and overlooked AI memory beneficiary.” That might seem strange at first, but the connection is in materials science.
PieFed
geneva_convenience
☆ Yσɠƚԋσʂ ☆
stravanasu
Peter Link
HiddenLayer555
Salamence
Zerush
