More from From ChatGPT to Gemini: how AI is rewriting the internet
First introduced to Bing.com and the Edge sidebar in July, Bing Chat Enterprise allows companies to use Microsoft’s AI-powered chatbot without having to worry about their conversations being used to train its underlying model.
Now Microsoft will let companies access the chatbot in Windows Copilot as well, with the launch of it in preview for “eligible commercial customers in the Dev channel.”
Nvidia’s AI lead pushed it to become a $1 trillion company, while its H100 chips are so in demand they can be used as collateral even as the next-gen Nvidia GH200 sits on the horizon.
Now the New York Times describes how it’s established a monstrous lead over other chipmakers, extending a victory tour of editorial recounting Nvidia “hand-delivering processors to Elon Musk and Sam Altman,” how it started in a Denny’s, and CEO Jensen Huang’s SIGGRAPH keynote outlining its decision to focus on AI.
Programmer and writer Alex Reisner’s expansive piece for The Atlantic documents his deep dive into the dataset, identifying all but 20,000 of the 190,000 books it contains, as well as its history and controversy surrounding it.
Books3, part of a larger dataset called “The Pile” created by EleutherAI, is the linchpin of Sarah Silverman’s lawsuit against OpenAI.
Apple says it’s been working on AI research for years, and recent job listings show its current focus, reports the Financial Times.
Over the last few months company has posted dozens of AI jobs in the US, France, and China, looking to fill roles that could help build generative AI tools that use local processing on mobile devices, like this one:
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner.
On Meta’s Q2 earning call Wednesday, Mark Zuckerberg called Llama 2, the company’s latest generative AI model, an “open source project.”
Except it’s not actually open source, since its license has usage restrictions. Here’s Stefano Maffulli, the executive director for the Open Source Initiative:
‘Open Source’ means software under a license with specific characteristics, defined by the Open Source Definition (OSD). Among other requirements, for a license to be Open Source, it may not discriminate against persons or groups or fields of endeavor (OSD points 5 and 6). Meta’s license for the LLaMa models and code does not meet this standard; specifically, it puts restrictions on commercial use for some users (paragraph 2) and also restricts the use of the model and software for certain purposes (the Acceptable Use Policy).
[Voices of Open Source]