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#Product updates

4 today

Sep 25

Friday

Sep 24

Thursday
  1. YouTube promises custom feeds and a lot more AI later this year

    YouTube announced Custom Feeds at its annual Made on YouTube event, generating personalised content tabs from descriptions and saving multiple feeds. It will launch soon for US web, mobile and TV users. GIF comments and group chats in YouTube messaging are also coming this year, initially limited to the US, UK, Singapore, Brazil and some European countries.

  2. Advancing Private AI Compute with secure, server-side memory

    Google DeepMind announced an update to Private AI Compute that brings persistent, cross-device AI memory to the cloud while maintaining device-level privacy standards. Data is sealed in encrypted storage, with decryption keys retained only on user devices. When a model needs access, an end-to-end encrypted channel connects to a cloud secure enclave, where data is temporarily decrypted in isolated memory, then re-encrypted immediately after new context is saved.

Sep 23

Wednesday

Sep 22

Tuesday

Sep 21

Monday
  1. llm-keys-ui 0.1

    Simon Willison released llm-keys-ui 0.1 to configure API keys on remote machines. Running uvx --with llm-keys-ui llm keys-ui --all opens an interface to save keys over the local network or a Tailscale device IP, avoiding pasting secrets into ChatGPT or agent sessions.

Sep 17

Thursday

Sep 16

Wednesday
  1. From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

    NVIDIA introduced DSX at AI Infra Summit to improve AI-factory token throughput within a fixed power budget. Lambda validated DSX MaxLPS on a five-rack, 19-node HGX B200 cluster, running 19 nodes within the same budget as 16 at full power. Cluster token throughput rose 24%, from around four million to five million tokens per second, with performance per watt up 23%.

Sep 15

Tuesday
  1. Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care

    Children's Hospital of Philadelphia (CHOP) uses MONAI, the open-source medical imaging framework co-founded by NVIDIA, to reduce paediatric heart modelling from four hours to seconds, already supporting complex ventricular septal defect surgical planning. CHOP is working with NVIDIA to integrate Newton, an open-source physics engine based on NVIDIA Warp, into SlicerHeart, reducing cardiac-device simulation from up to four hours to near real time.

Sep 14

Monday