183 summarised stories about Apple, each linking back to the original source. Browse all topics →
OpenAI 2 months ago 43 ● 7 sources
OpenAI responded to Apple's lawsuit by releasing internal messages and challenging Apple's characterization of events involving employee departures and business disputes. The documents show OpenAI's account of communications between the two companies over specific employment and contractual matters. OpenAI's public response could influence how each company approaches future legal and business negotiations.
The New Stack 2 months ago 24
Apple introduced caps on security reports researchers can submit through its vulnerability disclosure program after receiving a flood of AI-generated false positives, though one AI-assisted report from Bynario using GPT-5.5 identified a real macOS flaw (CVE-2026-43760) that Apple fixed. Bynario found over 50 potential bugs in three weeks but hit Apple's submission limit and couldn't immediately report the legitimate vulnerability. The caps risk delaying disclosure of real security flaws while the industry struggles to distinguish between valid AI-assisted research and spurious AI-generated reports.
TechCrunch 2 months ago 36 ● 2 sources
Apple released an improved Siri AI assistant in iOS 27 beta in July that understands personal context, answers questions, and manages device tasks through natural conversation. The assistant now consistently performs functions like finding photos, playing requested music, and launching apps—capabilities Apple promised but had failed to deliver for years. Despite these improvements, the release feels unremarkable because AI has advanced significantly during Apple's delays, with other systems now handling coding, multi-step reasoning, and agent tasks that make a functional chatbot seem incremental.
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16 October 2026
Agentic coding models keep shipping—and the day’s biggest thread was Reflection AI publishing Beam as open weights, complete with post-training recipes and customization tooling. Beam is built for long-horizon software work with 501 billion total parameters and a 23 billion active slice per forward pass, trained over two months on several thousand high-end GPUs. The practical part is what matters: deploy-ready serving configs, quantized variants, and AWS options via SageMaker JumpStart or Kubernetes-native SageMaker HyperPod Inference, with checkpoints in BF16, FP8, or NVFP4.
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