Large Language Model
Language models enable zero-shot prediction of the effects of mutations on protein function Joshua Meier
Modeling the effect of sequence variation on function is a fundamental problem for understanding and designing proteins.
AI Is a Mass-Delusion Event
It is a Monday afternoon in August, and I am on the internet watching a former cable-news anchor interview a dead teenager on Substack. This dead teenager--Joaquin Oliver, killed in the mass shooting at Marjory Stoneman Douglas High School, in Parkland, Florida--has been reanimated by generative AI, his voice and dialogue modeled on snippets of his writing and home-video footage. The animations are stiff, the model's speaking cadence is too fast, and in two instances, when it is trying to convey excitement, its pitch rises rapidly, producing a digital shriek. How many people, I wonder, had to agree that this was a good idea to get us to this moment? I feel like I'm losing my mind watching it. Jim Acosta, the former CNN personality who's conducting the interview, appears fully bought-in to the premise, adding to the surreality: He's playing it straight, even though the interactions are so bizarre. Acosta asks simple questions about Oliver's interests and how the teenager died.
perform in-context learning, it is unclear what the relationship is between tasks on which this succeeds and what is present in the training data. To make progress
In-context learning refers to the ability of a model to condition on a prompt sequence consisting of in-context examples (input-output pairs from some task) along with a new query input, and generate the corresponding output.
WIRED Roundup: Why GPT-5 Flopped
In today's episode, our host Zöe Schiffer is joined by WIRED's senior politics writer Jake Lahut to run through five of the best stories we published this week--from how the Trump administration is creating and sharing memes to make fun of deportations, to NASA's ambitious goal to put nuclear reactors on the moon. Then, Zöe and Jake dive into why users kind of hated OpenAI's GPT-5 release. Mentioned in this episode: OpenAI Scrambles to Update GPT-5 After Users Revolt by Will Knight The Trump Administration Is Using Memes to Turn Mass Deportation Into One Big Joke by Tess Owen Trump Family–Backed World Liberty Financial Sets Up 1.5 Billion Crypto Treasury by Joel Khalili Inside the'Whites Only' Community in Arkansas by David Gilbert Why the US Is Racing to Build a Nuclear Reactor on the Moon by Becky Ferreira Join us live in San Francisco on September 9th. Write to us at uncannyvalley@wired.com. You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link.
A Memory usage compared to 16 bit precision
We can see that the lower the C4 validation perplexity, the more outliers are present.
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
To cope with these features, we develop a two-part quantization procedure, LLM.int8() .
Appendix A Training
We follow the same setup as in Rae et al.
