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Headlines · 14
- Tony Fadell on why the first wave of AI gadgets failed
Speaking at MIT Future Fest, Tony Fadell — credited with the iPod, the iPhone and as founder of Nest — said the first wave of AI hardware (Rabbit R1, Humane AI Pin, Limitless pendant) failed because it “didn’t meet any kind of need” and was just interesting technology for geeks. He argued trust and safety are paramount for a personal AI assistant, noting Meta’s Muse had a serious vulnerability found soon after launch, and that Apple has the hardware, chips and privacy credibility but no world-class model of its own — the new Siri AI runs on custom versions of Google’s Gemini. He predicted a successful agent will have to run on-device only, for privacy and to stay lightweight.
TechCrunch AI · 🔥 9 - Google opens SynthID Detector website to all users globally
Google said its SynthID Detector portal at synthid.com is now available to everyone worldwide, after more than a year of limited access for journalists and other testers. The free tool checks images, video and audio for SynthID watermarks from Google, OpenAI, NVIDIA and Kakao, with Apple support "coming soon," and requires signing in with a Google, OpenAI or Apple account.
Engadget AI · 🔥 65 - Rapid-MLX: open-source LLM server for Apple Silicon tops GitHub Trending
Rapid-MLX is an Apache-2.0 local LLM inference server built on MLX for Apple Silicon, exposing both OpenAI (/v1/chat/completions, /v1/responses) and Anthropic Messages (/v1/messages) APIs and focusing on reliable tool calling for coding agents. The project claims up to 4× faster decoding than Apple's mlx-lm on identical weights: a 1.50× median across 18 streaming tasks with Qwen3.5-9B 4-bit on an M4 Pro Mac mini, and up to 4.27× on a whole-file code edit (46.4 to 198.4 tok/s), plus 3.0× Ollama's aggregate decode at 8 concurrent streams on Qwen3.6-35B-A3B. All figures are the project's own measurements, and much of its comparison table is drawn from other projects' own documentation.
GitHub Trending · Python · 🔥 11 - Apple may face pressure to let Mac users remove Apple Intelligence
Apple currently offers controls to restrict individual Apple Intelligence features on Macs, but not a single switch to disable all features and remove downloaded models. 9to5Mac reports that growing opposition to AI, storage concerns, and organizations that ban AI tools could increase pressure on Apple to add an official removal option, though Apple has not announced one.
9to5Mac · 🔥 9 - Google Project Zero urges emergency mitigations before formal patches
Google Project Zero says software vendors should prepare emergency mitigation mechanisms for actively exploited vulnerabilities, rather than relying only on faster formal patches. It outlines four approaches: feature flags, input filtering, alternative update channels, and hotpatching, while noting that testing remains necessary.
iThome 台湾 · 🔥 7 - Foxconn’s AI-server business becomes a second growth engine
A report says Hon Hai Technology Group and Foxconn Industrial Internet are benefiting from surging AI-server demand, alongside their established Apple manufacturing business. Foxconn Industrial Internet reported strong 2025 revenue and profit growth, while its cloud-computing business and AI-server sales became major growth drivers, according to the cited financial disclosures.
钛媒体 · 🔥 7 - AI Hardware Is Redefining What Counts as Recording
AI hardware makers are blurring the boundary between sensing and recording by processing audio or video into transcripts and summaries without necessarily saving the raw data. The column argues that these outputs can still preserve information about people, raising unresolved questions about consent, privacy signals and who defines a recording.
The Verge AI · 🔥 5 - Apple's RISED uses rubrics for multi-environment agent training
Apple Machine Learning Research published RISED, a method that repurposes rubrics to guide online data selection and policy supervision when training a single LLM agent jointly across diverse interactive environments. An LLM judge tags each rollout with a rubric vocabulary shared across environments; the resulting profiles select data that matches the mixed-environment batch's behavioural composition while limiting overlap, positive rubrics provide privileged context for an on-policy self-distillation teacher's token-level supervision, and negative rubrics steer later rollouts away from recurring failure modes. The paper reports that across model backbones RISED achieves the highest mean pass rate across environments and ranks first or second in every individual environment.
Apple Machine Learning Research · 🔥 3 - How to Disable Apple Intelligence and Free Storage on iPhone and Mac
CNET explains how to check Apple Intelligence storage usage and disable or limit related features on iPhone and Mac. The steps vary by operating system; changing the Siri language on macOS 27 reportedly freed about 4 GB for the author, while another Mac method did not work in testing.
CNET · 🔥 3 - RemoveMacAI removes Apple Intelligence features from macOS 27
RemoveMacAI is an open-source command-line tool that removes selected or all Apple Intelligence features from macOS 27 using an approved configuration profile and Apple’s asset service. Its developer says the approach leaves System Integrity Protection enabled and avoids directly modifying /System; users can revert the changes and restore the models when features are re-enabled.
Ars Technica AI · 🔥 7 - How to limit Siri AI’s access to personal app data
Apple’s redesigned Siri AI can search content from supported apps through App Intents and may process some requests on-device or through Private Cloud Compute. Engadget explains how users can disable app content indexing, stop Siri data sharing for model training, or switch back to Siri Classic.
Engadget AI · 🔥 0 - Apple to Tighten macOS Full Disk Access Amid AI Agent Risks
Apple says future macOS versions will add controls around Full Disk Access, requiring clearer user action before granting the highly privileged permission. The analysis links the change to rising risks from personal AI agents that can read sensitive data and act on a user’s behalf, while noting the tradeoff for legitimate backup, security, and IT-management tools.
虎嗅 AI · 🔥 3 - Apple paper studies how users negotiate ontological boundaries in personal sensing systems
Apple Machine Learning Research and Stanford University authors published "Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems." They built two open-ended Wizard-of-Oz probes that let participants experience training a personalized machine learning system on phenomena they define themselves, then ran a week-long exploratory study. The authors identify four sites of ontological boundary negotiation — the boundaries of a phenomenon, the subject as part of relations, what counts as signal versus noise, and the objectivity of data — and offer design starting points for supporting such negotiation.
Apple Machine Learning Research · 🔥 0 - How to Restrict Apple Intelligence Features on iPhone
Apple Intelligence features can be disabled individually on compatible iPhones running iOS 27, even though iOS 27 no longer offers one system-wide switch. Users can turn off Siri AI, summaries, Smart Reply, voicemail suggestions, Writing Tools, image generation and other features through Settings and Screen Time.
Engadget AI · 🔥 0
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