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MIT Technology Review’s The Download says firms like Anthropic and OpenAI publish usage reports but still leave gaps in understanding how people actually use AI. The newsletter also highlights design decisions at Flock related to cameras and product choices.
TechCrunch reports that Anthropic’s Claude “share chat” feature created public links that allow anyone with the URL to view conversations or projects. Those shared links and associated Artifacts may have ended up indexed on Google, according to the article.
OpenAI introduced Health in ChatGPT, which lets eligible U.S. users securely connect medical records and Apple Health to receive more personalized insights. The feature aims to help users better understand their health using connected data, according to OpenAI News.
Google says users will be able to securely link and interact with third-party services directly within Search’s AI Mode. The feature aims to let Search access and act on data from connected apps while maintaining security controls.
Meta has removed a controversial Instagram AI feature that allowed public content to be referenced, saying user feedback showed it missed the mark. The company framed the tool as intended to help creators and give content control but acknowledged concerns and disabled it.
Meta’s Muse Image can incorporate photos from any public Instagram profile if another user tags that account. Users concerned about reuse should check their privacy settings or remove public visibility to limit access.
Genmab melancarkan inisiatif 'AI Everywhere' dan mengadopsi ChatGPT Enterprise, menurut OpenAI. OpenAI menekankan komitmen terhadap keselamatan dan privasi sebagai sokongan kepada penggunaan ini.
Menurut OpenAI, pemastautin data diperluas bagi ChatGPT Enterprise, ChatGPT Edu dan platform API. Pelanggan yang layak kini boleh menyimpan data 'at rest' dalam rantau masing‑masing.
Goose, ejen kod AI sumber terbuka oleh Block, boleh dijalankan sepenuhnya di mesin pengguna tanpa yuran langganan. Ia menawarkan fungsi serupa Claude Code—menulis, debug dan melaksanakan kod autonomi—tetapi bergantung pada model LLM pilihan dan memerlukan lebih banyak konfigurasi serta sumber perkakasan.
