183 summarised stories about Apple, each linking back to the original source. Browse all topics →
TechCrunch 2 months ago 44 ● 4 sources
Apple filed a trade secrets lawsuit against OpenAI alleging misconduct by senior executives and claiming over 400 former Apple employees work at the company. The lawsuit was filed last Friday as OpenAI reportedly plans an IPO later this year. The case could delay OpenAI's public offering and raise broader questions about data security at AI companies.
TechCrunch 2 months ago 34 ● 4 sources
Apple filed a trade secrets lawsuit against OpenAI, alleging misconduct by senior leadership and claiming over 400 former Apple employees work there, creating complications as OpenAI pursues an IPO potentially later this year. The lawsuit could affect OpenAI's hardware ambitions and IPO timeline while raising broader questions about data security at AI companies. The case adds pressure on OpenAI during a critical period for the company's expansion and public markets debut.
The Verge 2 months ago 38 ● 2 sources
Apple is suing OpenAI with allegations that experts largely characterize as standard industry practices, and the lawsuit's true motivation remains unclear—whether Apple views OpenAI as a competitive threat or is exploiting a period of vulnerability for the company. The complaint is structured similarly to Apple's previous high-profile litigation cases, suggesting a pattern of aggressive legal strategy. Apple is simultaneously rolling out public beta versions of its software featuring a redesigned Siri AI assistant, positioning itself in the AI market while pursuing legal action against a major competitor.
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17 October 2026
Microsoft’s MAI-Base-2 announcement sets the pace for the day, shifting attention from flashy model demos to the plumbing that makes large language models practical. The 2T-parameter base model is designed to become a full LLM after additional training, with 80B parameters activated per prompt. Microsoft says it trained the model for 38 days on 16,000 Nvidia GB200 chips using 50T tokens, and that MAI-Base-2 is up to 12× more hardware-efficient. The company’s licensing plan—availability through “trusted partners” on Azure—signals a platform strategy: build a reusable foundation that can spawn multiple task-specific LLM lines, rather than betting everything on a single downstream model.
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