Photoshop’s new feature.
It’s called Generative Fill and it looks powerful. This is a set of tweets with videos. I think “The Construction of a Neon City” is great. ~ learn more
It’s called Generative Fill and it looks powerful. This is a set of tweets with videos. I think “The Construction of a Neon City” is great. ~ learn more
Everyone loves some good gossip about tech celebrities, right? ~ learn more
“The big late-stage pivots tend to look too early from the outside and to feel too late from the inside.” ~ learn more
“As biotech businesses become more specialized, I find that it can be useful to stratify biotech platforms into two buckets: target companies and modality companies. So far, AI advances have been more valuable for modality companies than for target companies. […]
This seems like it might be something. “Gorilla is a LLM that can provide the appropriate API calls. It is trained on three massive machine learning hub datasets: Torch Hub, TensorFlow Hub and HuggingFace. … Zero-shot Gorilla outperforms GPT-4, Chat-GPT […]
An interview with Microsoft CTO Kevin Scott, “who as of this week also has the new title executive vice president of AI, oversees Microsoft’s AI efforts, including the big partnership with OpenAI and ChatGPT.” ~ learn more
“To be blunt, a lot of that [LLM] hype is just some demo bullshit that would fall over the instant anyone tried to use it for a real task that their job depends on. The reality is far less glamorous: […]
When I visited Google’s campus, I wondered what was going on next door at NASA’s Ames Research Center. This article about the airship company Lighter Than Air sheds some light on it. “Built inside a giant hangar in Mountain View, […]
This paper argues that by choosing the specific tests and measures that most researchers gravitate toward, they bias the results to look like emergence. “Specifically, nonlinear or discontinuous metrics produce apparent emergent abilities, whereas linear or continuous metrics produce smooth, […]
Oliver Cameron has been working on this since 2016 when he and a team began working on an open-source self-driving car. Since then, every part of the stack has moved from rules-based to using machine-learning, and the outcomes in performance […]