RESEARCH

→ View original post on X — @waitin4agi_

LLM to LLM Conversations Need World Controller for Better Results

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@waitin4agi_

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17 April 2023 21h43

I tried LLM to LLM conversations and the results are a bit underwhelming. Cyclical boring conversation after a while. A world controller is necessary

→ View original post on X — @marktabnet

Christian Worldview on Artificial Intelligence Ethics Podcast

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@marktabnet

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17 April 2023 21h36

Live Podcast April 18, 12 PM Eastern, 4 PM GMT – “A Christian Worldview on Artificial Intelligence” Mark Tabladillo presenting How we can have objective ethics and a definitive path to answer any possible AI questions in 2023 and beyond? https://
bit.ly/3mDCI7q

DINOv2 Open-Source Release with Interactive Demo Available

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17 April 2023 21h01

Want to explore DINOv2 for yourself? Today we're releasing both the open-source code and an interactive demo. GitHub https://
bit.ly/40eMPxk
Demo https://
bit.ly/3KHBnVa

Meta Releases DINOv2: Self-Supervised Computer Vision Model

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17 April 2023 21h01

Announced by Mark Zuckerberg this morning — today we're releasing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results matching or exceeding industry standards.

More on this new work ➡️ https://t.co/h5exzLJsFt pic.twitter.com/2pdxdTyxC4
— AI at Meta (@AIatMeta) 17 avril 2023

Announced by Mark Zuckerberg this morning — today we're releasing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results matching or exceeding industry standards. More on this new work https://
bit.ly/3GQnIKf

DINOv2 Complements Computer Vision Work Beyond Segmentation

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17 April 2023 21h01

DINOv2 complements our other computer vision work, such as Segment Anything. While SAM is a promptable system focused on zero-shot generalization to diverse segmentation tasks, DINOv2 uses simple linear classifiers to achieve strong results across tasks beyond segmentation.

AI Models Map Forests Tree-by-Tree Across Continents

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17 April 2023 21h01

Models like this will be useful in a wide variety of applications. For example, we recently collaborated with @RestoreForward to use AI to map forests, tree-by-tree, across areas the size of continents. pic.twitter.com/T2we4cqTa4
— AI at Meta (@AIatMeta) 17 avril 2023

Models like this will be useful in a wide variety of applications. For example, we recently collaborated with @RestoreForward to use AI to map forests, tree-by-tree, across areas the size of continents.

→ View original post on X — @groqinc

Groq Celebrates Entanglement AI CEO for Quantum Computing Innovation

By

@groqinc

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17 April 2023 20h40

Happy to see our customer @entanglement_ai CEO Jason Turner getting some well deserved attention for the space they are innovating in. #QuantumComputing #AI #machinelearning #inference #cybersecurity https://
reuters.com/article/quantu
m-software/waiting-for-quantum-computers-to-arrive-software-engineers-get-creative-idUSL1N36I0KA
…