what happend? Francois Chollet, the creator of Keras leaved google.
RESEARCH
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Scene Language: Stanford’s Visual Scene Representation Framework
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The Scene Language: Representing Scenes with Programs, Words, and Embeddings https://
ai.stanford.edu/~yzzhang/proje
cts/scene-language/
… https://
arxiv.org/abs/2410.16770
a visual scene representation that concisely and precisely describes the structure, semantics, and identity of visual scenes.
@jiajunwu_cs -

Michael Jordan discusses missing perspectives in current AI dialogue
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The legendary Michael Jordan on what’s missing in the current dialog on AI…
@UCBerkeley
@Berkeley_EECS
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Daily fluctuations between AGI optimism and realistic skepticism
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Several times a day, I fluctuate between “we are on the verge of AGI” and “it will probably take a bit more work.”
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OpenAI’s Five-Level AGI Classification System Explained
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As we all know, OpenAI defines AGI in 5 levels.
— Chubby♨️ (@kimmonismus) 14 novembre 2024
Level 1: Conversational AI
Current AI systems that are able to understand and generate natural language, such as chatbots.
Level 2: Reasoner
AI systems with human problem-solving capabilities that can master complex tasks through… pic.twitter.com/lU2r80ivm0As we all know, OpenAI defines AGI in 5 levels. Level 1: Conversational AI
Current AI systems that are able to understand and generate natural language, such as chatbots. Level 2: Reasoner
AI systems with human problem-solving capabilities that can master complex tasks through -
Google Research Generates AI Training Data with Indian Communities
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Real-world data powers real-world AI. See how Google Research works with communities in India to generate data to train #AI models. ➡️https://t.co/54ji010O4R pic.twitter.com/SKaZ9qwXw2
— Google AI (@GoogleAI) 13 novembre 2024Real-world data powers real-world AI. See how Google Research works with communities in India to generate data to train #AI models. https://
goo.gle/4erH7PB -
Missing Ilya: On Understanding Reality Through Token Prediction
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pic.twitter.com/BVNSZWWdz1 I cannot say often enough how much I miss Ilya. If there is any1 I consider to be one of the most important people of our time, it is him.„Prediciting the next token means that you understand the underlying reality that led to the creation of that token.“
— Chubby♨️ (@kimmonismus) 13 novembre 2024I cannot say often enough how much I miss Ilya. If there is any1 I consider to be one of the most important people of our time, it is him.„Prediciting the next token means that you understand the underlying reality that led to the creation of that token.“
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Big Book of GenAI: Best Practices for Production Applications
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GenAI is moving so fast, it’s not easy to find the latest thinking and code snippets.
— Databricks (@databricks) 13 novembre 2024
The Big Book of GenAI shares best practices and code samples for building production-quality #GenAI applications: https://t.co/dCIxBmlKlx pic.twitter.com/GXO3SKkcMWGenAI is moving so fast, it’s not easy to find the latest thinking and code snippets. The Big Book of GenAI shares best practices and code samples for building production-quality #GenAI applications: https://
dbricks.co/3UxiEC4 -

Sandia Labs Deploys Four Cerebras CS-3 Systems for AI
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Working with @SandiaLabs
, we have unveiled a cluster composed of four Cerebras CS-3 systems to be used as a Sandia testbed. This third-generation wafer scale engine architecture (WSE-3) will expand the capabilities of the NNSA Tri-labs and will allow bleeding edge
