Apple Unveils M4 AI Chip (1 minute read)
Apple has announced its next-generation Apple Silicon chip, the M4, the company's first chip designed specifically for AI. Featuring a 3-nanometer architecture and debuting in the 2024 iPad Pro, the new chip boasts a 10-core CPU that is 50% faster than the M2 and a new Neural Engine capable of processing 38 trillion operations per second. It enhances applications that leverage AI, although specific AI features for iPadOS haven't been detailed yet.
AlphaFold 3 (6 minute read)
Google DeepMind and Isomorphic Labs have developed the 3rd generation of AlphaFold, a powerful protein folding prediction model. It is launching AlphaFold Server, which is a free way to interact with the model. AlphaFold 3 is 50% more accurate than previous generations. It correctly predicted the folded structure of the spike protein on Coronavirus OC43.
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Engineering & Resources
Document Image Restoration (GitHub Repo)
DocRes is a new model that simplifies document image restoration by handling five tasks: dewarping, deshadowing, appearance enhancement, deblurring, and binarization within a single system.
The teens making friends with AI chatbots (9 minute read)
Teenage users on Character.AI are turning to AI chatbots for companionship and emotional support, which they find helpful but potentially addictive. There are concerns about the appropriateness of AI in mental health, especially when bots give problematic advice or increase reliance on virtual interactions.
I Spent 24 Hours With GitHub Copilot Workspace (10 minute read)
GitHub Copilot Workspace, now in a limited technical preview, offers a powerful programming tool that lets users code in plain English, from planning to implementation, within the browser. The AI integrates seamlessly with codebases, suggesting block-by-block code execution and handling complex tasks with less active user input compared to ChatGPT.
AI engineers report burnout and rushed rollouts as 'rat race' to stay competitive hits tech industry (15 minute read)
Accelerated timelines, competition, and a lack of concern from superiors about real-world effects are themes common across a broad spectrum of the biggest effect companies. Engineers are increasingly saying that a large part of their jobs is focused on satisfying investors and not falling behind in the competition rather than solving actual problems for users. Some have been switched over to AI teams to help support fast-paced rollouts without adequate training, even if they are new to the technology.