One of the most rage-inducing images in the world
One of the most rage-inducing images in the worldGeorge Lutas: Proof that you can have a Moore's Law in your industry and have it mean very…
One of the most rage-inducing images in the worldGeorge Lutas: Proof that you can have a Moore's Law in your industry and have it mean very…
Overnight in AI: GLM-5.2 claims to surpass Claude Mythos on cyber benchmarks as Coinbase halves its AI bill by switching to Chinese models.
I describe my solution to the LeHome Challenge 2026, an ICRA 2026 competition on bimanual garment folding. The system placed 1st of 62 teams in the…
RT Google Cloud JapanSakana AI がサービス基盤にGemini Enterprise Agent Platform を採用した理由→ https://goo.gle/3R87HYw新世代のマルチ エージェント AI モデル「Sakana Fugu」開発にあたり、難しい要件を実現するために選ばれたのが Google Cloud でした。サイエンティストの皆様に開発の舞台裏をお伺いします。
RT Google Cloud JapanSakana AI がサービス基盤にGemini Enterprise Agent Platform を採用した理由→ https://goo.gle/3R87HYw新世代のマルチ エージェント AI モデル「Sakana Fugu」開発にあたり、難しい要件を実現するために選ばれたのが Google Cloud でした。サイエンティストの皆様に開発の舞台裏をお伺いします。
**Meta** announced **Brain2Qwerty v2**, a real-time non-invasive brain-to-text decoder achieving up to **78% word accuracy** with released training code and dataset. **Cursor** launched **Cursor for iOS**…
RT Sakana AIGoogle Cloud Japan ブログにインタビュー記事を掲載いただきました。「Sakana Fugu」のサービス基盤として、GoogleのEnterprise Agent Platformを全面採用した経緯について、プロジェクトを率いたチーフサイエンティストのYujin Tangをはじめ、3名のサイエンティストが開発の舞台裏を語っています。「Sakana Fugu はスポーツに例えるなら、さまざまな選手(AIモデル)やフォーメーション(組み合わせ)、戦術(タスク処理)を対戦相手(クエリ)に応じて使い分けるコーチのような存在です。AIのチームを指揮するAIとして集合知にアクセスし、個々のモデルを上回るパ
Google Cloud Japan ブログにインタビュー記事を掲載いただきました。「Sakana Fugu」のサービス基盤として、GoogleのEnterprise Agent Platformを全面採用した経緯について、プロジェクトを率いたチーフサイエンティストのYujin Tangをはじめ、3名のサイエンティストが開発の舞台裏を語っています。「Sakana Fugu はスポーツに例えるなら、さまざまな選手(AIモデル)やフォーメーション(組み合わせ)、戦術(タスク処理)を対戦相手(クエリ)に応じて使い分けるコーチのような存在です。AIのチームを指揮するAIとして集合知にアクセスし、個々のモデルを上回るパフォーマンスを発揮します
RT X FreezeSpaceX just launched 2 Falcon 9 rockets in 10 hoursFalcon 9 lifted off from California and delivered 24 more Starlink satellites to orbitThen another…
Article URL: https://www.outsideonline.com/health/wellness/sunscreen-sun-exposure-skin-cancer-science/ Comments URL: https://news.ycombinator.com/item?id=48715020 Points: 45 # Comments: 37
Even though I made this graph, it is also kind of wrong. Fable is guardrailed Mythos. If we use the Mythos dateEthan Mollick: I took the…
Large language models (LLMs) can make scientific software easier to use. However, a general model does not automatically know which measurements a particular sensor can support,…
Article URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6298838 Comments URL: https://news.ycombinator.com/item?id=48714919 Points: 5 # Comments: 0
RT jietangAny new features we must have in the next version of glm?
Has anyone actually received final acceptance following their provisional acceptance email from ECCV 2026? I am very confused. Thank you so much. submitted by /u/Land_Heavy [link]…
Article URL: https://github.com/itsthelore/rac-core Comments URL: https://news.ycombinator.com/item?id=48714880 Points: 7 # Comments: 0
Article URL: https://github.com/ogulcancelik/herdr Comments URL: https://news.ycombinator.com/item?id=48714802 Points: 13 # Comments: 0
Yesterday I posted an idea for testing whether a large model can transfer some of its procedural skill to a smaller model without fine-tuning. The short…
We study whether we can learn novel manipulation skills from human actions to a bi-manual robot with parallel grippers. Human action data is cheap, abundant, and…
Knowledge-based Visual Question Answering (KB-VQA) requires models to combine image understanding with external knowledge. Most prior methods use a fixed retrieve-then-generate pipeline with a pre-selected retriever…
arXiv:2509.01924v4 Announce Type: replace Abstract: Agricultural decision-making faces a dual challenge: sustaining high yields to meet global food security needs while reducing the environmental impacts of…
arXiv:2503.13051v3 Announce Type: replace-cross Abstract: Sorting and permutation learning are key concepts in optimization and machine learning, especially when organizing high-dimensional data into meaningful spatial layouts.…
arXiv:2506.13139v3 Announce Type: replace Abstract: Modern Machine Learning (ML) and Deep Neural Networks (DNNs) often operate on high-dimensional data and rely on overparameterized models, where classical…
arXiv:2501.07400v2 Announce Type: replace-cross Abstract: We derive explicit equations governing the cumulative biases and weights in Deep Learning with ReLU activation function, based on gradient descent…