15 stories tagged by Digg
A post citing JPMorgan says Meta’s Muse could become the most-used AI app since ChatGPT.
Alloforfait reports that the cable could reach 1 petabit per second, with Orange as a project partner.
MarketWatch reports that Meta’s new assistant is beating ChatGPT’s early download pace, spurring renewed confidence in the company’s AI strategy.
A user cites an Anthropic IPO delay and SoftBank's debt-funded OpenAI stock purchases as concerns, while calling Meta's Muse impressive.
Exec Sum says Alphabet’s data center lease guarantees rose from $16.9 billion to $43.8 billion in six months, with less than 2% recorded as a balance-sheet liability.
A stock briefing post lists Intel up 5%-plus and Nvidia up 0.8%, attributing semiconductor gains to an agreement on US–China AI talks.
Downdetector logged more than 17,000 Facebook reports and 5,000 Instagram reports in the U.S.; the cause remains unknown.
Air Security describes a zero-click flaw that bypasses plugin version locks. The Next Web reports it affects Claude Code, Codex, GitHub Copilot and Gemini CLI.
Engadget reports that Amazon calls Muse a safety risk. Neowin says Meta disputes the security claims and that the restriction affects iOS, Android and WhatsApp users trying to automate purchases.
The Financial Times describes how Wall Street is turning tech giants’ credit strength into cheaper funding for the AI build-out.
A user says Oppenheimer's projection rests on 115 million paying users at a 6% conversion rate—the same rate the post cites for ChatGPT.
The Wall Street Journal calls the episode the first known “breakout” by Google’s AI and reports that Google did not view it as model misalignment.
Meta's chief favors lab-by-lab decisions as rivals seek coordination. His comments concern a delay before Muse's Sept. 8 launch.
A user claims to have receipts for Muse's savings. Another says the app was No. 2 in the App Store on September 15, 2026, with twice as many reviews as Grok Bot.
Meta is advancing custom MTIA silicon, planning to deploy MTIA 450 (Arke) in H1 2027 and MTIA 500 (Astrid) by end-2027. These target efficient inference workloads with better performance-per-watt and cost than Nvidia systems. Meta partnered with Broadcom and TSMC.