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Door de azc-rellen wordt asielopvang alleen maar moeilijker

In Loosdrecht, IJsselstein en Den Bosch liep het verzet tegen nieuwe asielzoekerscentra de afgelopen weken uit de hand: de politie werd bekogeld, een snelweg bezet en ruiten van…

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Thomas Hawk posted a photo:

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Piccolo's, Omaha, Nebraska

Thomas Hawk posted a photo:

Piccolo's, Omaha, Nebraska

ajpscs posted a photo:

the SQUARE
TOKYO DAY WALK
YOU CAUGHT ME
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The Register

Biting the hand that feeds IT — Enterprise Technology News and Analysis

AWS warns of EC2 ‘impairment’ as power loss hits notorious US-EAST-1 region

Amazon Web Services is working to address a power outage that has created “impairments” to services served from the notorious US-EAST-1 region. A May 7 incident report time-stamped 5:25 PM PDT (00:25 UTC Friday) states that AWS spotted problems in the use1-az4 availability zone of the US-EAST-1 Region. A subsequent update states “EC2 instances and EBS volumes hosted on impacted hardware are affected by the loss of power during the thermal event.” An update time-stamped 6:47 PM PDT reveals“We continue to work towards mitigating the increased temperatures to its normal levels,” but warns “Other AWS services that depend on the affected EC2 instances and EBS volumes in this Availability Zone may also experience impairments.” At 8:06 PM PDT Amazon said it was "actively working to restore temperatures to normal levels ... though progress is slower than originally anticipated." The cloudy concern said it made "incremental progress to restore cooling systems" but users of EC2 Instances, EBS Volumes, and other services are "experiencing elevated error rates and latencies for some workflows." AWS has also shifted traffic away from the stricken AZ, and suggested companies shift workloads into other US-EAST-1 availability zones. Good luck getting that done because the update admits “Customers may experience longer than usual provisioning times.” US-EAST-1 is arguably AWS’s problem child, as it was the site of major outages that took big chunks of the internet offline in 2021 and then again in October 2025 . AWS execs have told The Register the region isn’t inherently more fragile than other parts of the Amazonian cloud, but often runs things at bigger scale than elsewhere and therefore imposes extra stress on services. The Register will update this story as the situation evolves. ®

HPE drops first Juniper x Aruba collab – self-driving Wi-Fi

HPE has delivered the first fruits of its Juniper acquisition: Wi-Fi access points that users can manage with either Aruba Central or the Mist platform, and “self-driving” tools that use AI to allow some autonomous operations. The access points are the prosaically named HPE Networking 723H, a three-radio Wi-Fi 7 machine the company recommends for hospitality, branch, and teleworker deployments. The APs also represent HPE’s first application of AI-powered autonomous networks. Mittal Parekh, HPE’s marketing lead for campus and branch networking, told The Register one self-driving scenario HPE provides is scanning the local RF environment to detect any frequencies Wi-Fi should avoid because they’re required or in use by military or other organizations that have priority. Self-driving means networks will automatically steer clear of those frequencies when it makes sense to do so. He also pointed to “dynamic capacity optimization,” which he said will see HPE Wi-Fi networks detect a gathering of users for events like an all-hands meeting, and adjust itself as necessary to ensure connections remain strong and steady. Detecting mismatched or missing VLANs, and rebuilding networks before traffic drops, is another self-driving capability. Parekh said those scenarios currently require IT teams to do manual work that might not be possible to complete before the meeting ends, or a military user vacates a frequency. HPE’s tech will also detect and de-fang rogue DHCP servers before they become a problem. Parekh said HPE’s tech allows humans to remain in the loop if they choose but hopes that NetAdmins begin to develop sufficient trust that they let networks take care of their own affairs and spend their time on higher-value tasks. The application that delivers self-driving capabilities runs in the cloud, and uses oodles of data HPE and Juniper collected over decades, plus the Marvis AI Juniper offered when it was an independent outfit. Jeff Aaron, marketing lead for HPE’s networking business unit, pointed out that HPE has delivered a unified product within months of closing its Juniper acquisition, and snarked that Cisco took years to do likewise when merging its own-brand Wi-Fi with Meraki’s. Competitive sniping aside, Aaron said the self-driving tech and Wi-Fi APs show how HPE plans to cross-pollinate its Aruba and Juniper portfolios, without forcing users of either brand to make a jump. HPE is not alone in pursuing agentic network operations, or merging networking brands: Cisco is combining its Catalyst and Meraki management tools, and is betting on AI to detect network issues and automate fixes. ®

The Guardian

Latest news, sport, business, comment, analysis and reviews from the Guardian, the world's leading liberal voice

Former China defence ministers convicted of corruption in latest purge of military leaders

Ex-defence ministers, Li Shangfu and Wei Fenghe both sentenced to death with a two-year reprieve, among the most severe sentences in a years-long purge

Two former Chinese defence ministers were given suspended death sentences for bribery on Thursday, after being convicted by China’s military court, in some of the most severe punishments to be handed down in a years-long purge of the military.

Chinese state media Xinhua announced on Thursday that Li Shangfu and Wei Fenghe were both sentenced to death with a two-year reprieve, meaning that their sentences will probably be commuted to life imprisonment if Li and Wei demonstrate good behaviour.

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The AI jailbreakers – podcast

Journalist Jamie Bartlett on the people trying to get AI to say things it shouldn’t … for the safety of us all

All the major AI chatbots – from ChatGPT to Gemini to Grok to Claude – have things they should and shouldn’t say.

Hate speech, criminal material, exploitation of vulnerable users – all of this is content that the most successful large language models in the world shouldn’t produce, that their safety features should guard against.

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