Naveed Ahmad

A brand new unpatchable flaw in Apple chips opens the door to an iPhone jailbreak 

A brand new unpatchable flaw in Apple chips opens the door to an iPhone jailbreak 

An organization that sells spyware and adware and hacking instruments to authorities companies has printed particulars of a vulnerability in Apple chips that may doubtlessly assist hackers unlock older iPhones. This launch opens the door for different researchers who specialise in discovering iOS vulnerabilities, corresponding to these working for governments or their contractors, to develop…

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Pakistan, Turkiye talk about stronger power cooperation and funding

Pakistan, Turkiye talk about stronger power cooperation and funding

Muhammad Ali praised Turkey’s progress within the power sector and expressed Pakistan’s curiosity in growing cooperation ISLAMABAD: Pakistan and Turkiye, on June 23 agreed to strengthen cooperation within the power sector and discover new funding alternatives collectively. Prime Minister Adviser on Privatization Muhammad Ali met Turkish Minister for Vitality and Pure Sources Alparslan Bayraktar throughout…

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Nvidia needs to chop knowledge middle water use, however that is not the identical as fixing AI’s water drawback

Nvidia needs to chop knowledge middle water use, however that is not the identical as fixing AI’s water drawback

Nvidia simply introduced a warm-water cooling system that it says can dramatically cut back the quantity of water an information middle makes use of — eliminating “just about all water utilization” inside the information middle, in keeping with an Nvidia govt in a press release.   “The water consumption problem for knowledge facilities is basically…

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Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads

Prime Intellect has released prime-rl version 0.6.0. The framework targets reinforcement learning on trillion-parameter Mixture-of-Experts (MoE) models. It focuses on heavy agentic workloads, like long-horizon software-engineering tasks. The research team trained GLM-5 on SWE tasks at up to 131k sequence length. Step times stayed under five minutes. The batch size was 256 rollouts. The run…

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