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Apple is prototyping a second new iPhone display, this one measuring around 6.4 inches, that could be destined for the 20th anniversary iPhone, according to a Chinese leaker.
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And it's not the first instance of a lunar crash.
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Surely nobody you know will overuse this...
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Authorities commended two bystanders for intervening during the shooting, saying that "their heroic actions" likely helped prevent more people from being injured in the incident.
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Apple has had to introduce a quota on security researcher reports because its systems are being overwhelmed by low-quality warnings generated by AI.
It's a classic illustration of the rule of unintended consequences: a technology meant to help us has become a barrier to getting things done. After all, not only has AI driven the cost of consumer electronics higher, but it is also being used to identify and exploit security vulnerabilities — while also overwhelming security teams with low-grade reports, thus eroding their attention span.
The cost of good intentions
This is what's happened at Apple, as security researchers use AI as a tool to identify new bugs. Perhaps the reports are well-intended. Hopefully, the researchers aren't just motivated by the promise of easy bug bounties. Or maybe this is a cynical attempt to overwhelm platform security teams with low-grade bug reports — while holding back larger attacks for actual use by well-resourced state-backed actors.
We can't know whether attackers really are trying to overwhelm active platform defenses before going in for the kill. But given that it's an actively used military strategy, it's pretty hard to ignore the possibility.
Apple's response
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Alibaba on Monday introduced Qwen3.8-Max, its largest artificial intelligence model to date, expanding its enterprise AI portfolio with an open-weight model designed for software engineering, multimodal reasoning, and other knowledge-intensive business workloads.
In a blog post announcing the launch, Alibaba described Qwen3.8-Max as a 2.4-trillion-parameter mixture-of-experts (MoE) model that activates only about 95 billion parameters during inference.
The company said the architecture is intended to improve inference efficiency while supporting coding, reasoning and multimodal tasks, with open-weight versions scheduled for release next week through Alibaba Cloud's Model Studio.
"We believe it's one of the most powerful model available today, compatible to leading frontier AI models, second only to Fable 5," Alibaba said in an X post.
Benchmarks target Anthropic and OpenAI's coding models
Alibaba published internal test results comparing Qwen3.8-Max against Claude Opus 4.8, Claude Fable 5, and OpenAI's GPT-5.6 Sol on coding benchmarks, including SWE-bench Pro and a proprietary evaluation the company calls NL2Repo-Bench.
The company said it evaluated competing models using each ven
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