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Introducing a new concept where hidden states in RNNs are treated as trainable models to adapt at test time, enabling continual learning and improved performance. This approach allows memory to be updated with self-supervised training at inference, leading to enhanced adaptability and scaling.
Skilled AI, a Pittsburgh-based startup, attains a $1.5 billion valuation in its Series A funding round. Focused on developing cost-effective, general-purpose robots across various industries, the company aims to leverage top-tier investors and expertise to drive advancements in robotics technology.
Intel embarks on establishing Fab 29 in Germany, slated to be a leading chip fab in Europe, despite facing environmental objections and EU subsidy approvals. The facility aims to bolster chip fabrication capabilities critical for AI advancements and national security, positioning Intel in the competitive chip manufacturing landscape against industry giants like TSMC.
AMD's acquisition of Finnish AI company Silo AI for $665 million underscores their strategic move to enhance software proficiency. With 100 PhDs and 300 employees aligned with Silo AI joining AMD, the acquisition aims to fortify AMD's software capabilities and offerings in a rapidly evolving semiconductor landscape.
Elon Musk reveals intentions to build a cutting-edge AI training cluster comprising 100,000 H100 GPUs, marking a significant step to boost XAI's computing power. Despite parting ways with Oracle, XAI's mission to leverage vast GPU resources to enhance training capabilities remains steadfast.
Significant AI model innovation involves adapting hidden states through trainable models during inference time, revolutionizing learning capabilities by continuously updating memory with new data. The dynamic memory adaptation approach yields impressive performance enhancements and fosters a more adaptable AI framework.
Tension arises between Sequoia and Andreessen Horowitz over AI chip stockpiling strategies amidst the Gen AI boom, highlighting differing investment perspectives. The clash reflects contrasting viewpoints on scaling and profitability in the AI chip sector, shedding light on competitive dynamics and investment strategies among top VCs.
Intel faces roadblocks in Fab 29 construction in Germany due to environmental protests and EU subsidy hurdles, delaying progress to establish a leading chip fab in Europe. The facility's strategic significance for chip fabrication capabilities and national security underscore challenges around environmental considerations and subsidy approvals.
Innovative memory training technique revolutionizes learning by enabling inference-time model training through continuous memory updating. This dynamic approach optimizes learning efficiency and scalability, showcasing enhanced model adaptability and performance across diverse AI tasks.
AMD's strategic acquisition of Finnish AI company Silo AI for $665 million elevates their software capabilities to drive innovation in the semiconductor landscape. The integration of top talent from Silo AI bolsters AMD's software proficiency and advances their offerings in the competitive semiconductor market.
Vimeo has introduced new AI content labels to help creators disclose AI-generated content, ensuring transparency and reducing confusion among viewers.
Avail, a tech startup, is launching Corpus, a product to help media companies and independent creators license their content for AI model development, providing an opportunity for creators to monetize their data.
Etsy has updated its seller policy to include guidelines for labeling AI-generated content, requiring sellers to identify AI involvement in creating items, ensuring transparency and limiting deceptive practices on the platform.
Bumble has enabled users to report profiles containing AI-generated photos, aiming to combat the use of fake profiles, scammers, and deceptive practices on the dating app, prioritizing user protection and authenticity.
Our 174rd episode with a summary and discussion of last week's big AI news!
With hosts Andrey Kurenkov (https://twitter.com/andrey_kurenkov) and Jeremie Harris (https://twitter.com/jeremiecharris)
In this episode of Last Week in AI, we delve into the latest advancements and challenges in the AI industry, highlighting new features from Figma and Quora, regulatory pressures on OpenAI, and significant investments in AI infrastructure. Key topics include AMD's acquisition of Silo AI, Elon Musk's GPU cluster plans for XAI, unique AI model training methods, and the nuances of AI copying and memory constraints. We discuss developments in AI's visual perception, real-time knowledge updates, and the need for transparency and regulation in AI content labeling and licensing.
See full episode notes here.
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