Axon has been sued in a proposed class action accusing the Taser and police body-camera maker of illegally collecting and storing license plate data on millions of California drivers through its AI-powered surveillance network. Reuters reports the details: - The lawsuit (PDF), filed on Tuesday in federal court in San Francisco by law firms Hausfeld and Gibbs Mura, alleges Axon has failed to comply with a California privacy provision by not disclosing how it collects, uses and shares plate data gathered through its camera systems
- "Axon has created a mass-surveillance infrastructure that is practically impossible to avoid," the lawsuit said
- Scottsdale, Arizona-based Axon did not immediately respond to a request for comment. The lawsuit said the company has more than 1,000 cameras in California and alleges millions of drivers may have been affected
- Some Axon cameras are installed in high-traffic areas and collect plate information as vehicles pass by. Other cameras are placed inside police vehicles, the lawsuit said
- The proposed class covers drivers whose vehicle plate information was captured by an automated license plate reader in California and processed or stored by Axon's system since 2023
- The lawsuit seeks more than $5 million in damages, in addition to a court order stopping Axon from its allegedly unlawful practices

Read more of this story at Slashdot.

Adam Fry, OpenAI's consumer product lead for ChatGPT, says the number of searches performed through ChatGPT has grown to roughly 20% of Google's search volume. The company defines a search as a ChatGPT query that triggers a web search, suggesting the chatbot is becoming an increasingly significant competitor to traditional search engines. The Verge reports: Having one-fifth as many searches as Google is still a long way from overtaking it, but for comparison, Microsoft CEO Satya Nadella said during Google's 2023 antitrust trial that Bing had about 3 percent of the search engine market share after trying for more than a decade. During the trial, Google described AI as a potential disruptor, arguing ChatGPT was poised to seriously compete with it -- now, OpenAI seems to agree. (OpenAI likely uses Microsoft Bing for a significant part of its searches, along with its in-house search index, although there is still some speculation that it routes some queries through Google.) As for ads, which OpenAI started testing earlier this year, Fry said they haven't produced a lasting backlash. "Ads have not negatively impacted the product or the usage of the product," he said, adding that "most people do not seem to mind ads in the product."

Last month, OpenAI announced plans to introduce images of sponsored products and services in ChatGPT.

Read more of this story at Slashdot.

DEN HAAG (ANP) - Premier Rob Jetten ziet geen blokkades bij coalitiepartijen op een hogere belasting op vermogens. Dat zegt hij in het debat over de belastingen. Het gaat om het voorstel van PRO en Volt om meer belasting te heffen op vermogens en winst en zo de lasten voor werkenden te verlichten.

De VVD ziet daar weinig in. VVD'er Wendy van Eijk zei dat het oppositievoorstel in strijd is met het coalitieakkoord en noemde het "ondenkbaar" dat de coalitie van D66, VVD en CDA met het amendement instemt.

Maar Jetten hoorde daarin geen blokkade. "Ik heb vanavond gehoord dat een coalitiefractie zegt: dat gaan we op de inhoud beoordelen. Dat is geen makkelijke beoordeling. Dat zijn zware politieke keuzes die ook raken aan een coalitieakkoord. En dan zul je dat als coalitiefracties moeten wegen. Wat vinden we dat waard, wat betekent het voor de politieke balans?"

DEN HAAG (ANP) - Het kost de schatkist de komende jaren vele miljarden als het belastingplan van het kabinet het niet haalt, zei premier Rob Jetten tijdens het debat erover. Volgens hem loopt de Rijksoverheid volgend jaar bijna 2 miljard euro mis als het belastingplan wordt weggestemd. In 2028 zou dat oplopen tot 6,1 miljard euro, en "de jaren erna structureel 9 miljard euro".

De Tweede Kamer stemt volgende week over het pakket aan belastingmaatregelen. Er is nu nog geen meerderheid voor verzekerd. Waarschijnlijk haalt het pakket het in de Tweede Kamer, dankzij steun van de ChristenUnie, 50PLUS en de Groep Markuszower. Maar die fractie van PVV-afsplitsers heeft geen Eerste Kamerleden. Daarmee is steun in de senaat nog onzeker.

Jetten benadrukte alsnog op korte termijn steun te willen in zowel de Eerste als Tweede Kamer. Vooral de fracties in de Tweede Kamer moeten daarvoor zorgen door met aanpassingen te komen. Het kabinet kan nu vooral richting geven door die voorstellen te beoordelen. Het kabinet kan niet nog eens zelf met een aangepast voorstel komen, zei Jetten.

Police and prosecutors open investigation into death of the 55-year-old Bavarian state deputy leader

A prominent German politician was found dead in a Berlin hotel on Wednesday, police said, adding they had launched an investigation.

The cause of death of Hubert Aiwanger, 55, who was deputy leader of southern Bavaria state, was not immediately clear.

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JD Vance calls Iran war into question as Thomas Massie files eight articles of impeachment

• Send us your questions about the US midterms results and Democrats’ ‘blue wave’

Pete Hegseth is increasingly looking like he may take the fall for Republicans’ midterm losses, despite Donald Trump’s vocal support for his defense secretary, even calling him a champion of war.

The war in Iran, which voters and Trump have named as a key reason for Republicans’ midterm losses, “has been primarily a Department of War-led effort because you chose to take military action to resolve a foreign policy matter”, a former senior Pentagon official told CNN.

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Weer voor Rotterdam 🌕 - 05-11-2026 01:16 CET

In één oogopslag:
• 5.5°C · Helder 🌕 | Min 3.6°C / Max 10.2°C

Verwachting voor vandaag:
• Min 3.6°C, Max 10.2°C (Zonnig) ☀️, 🧭 1027.1 hPa ↘️ -2.0 hPa/24h, Windsnelheid: 17.6 km/u (4.9 m/s), richting: ← 78°

Uurlijkse voorspelling voor de komende 12 uur:

• 02:00: 5.2°C (Helder) 🌕, 🧭 1029.1 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 15.8 km/u (4.4 m/s), richting: ← 83°
• 03:00: 4.8°C (Helder) 🌕, 🧭 1028.6 hPa ↘️ -0.5 hPa/1h, Windsnelheid: 15.5 km/u (4.3 m/s), richting: ← 76°
• 04:00: 4.4°C (Helder) 🌕, 🧭 1028.0 hPa ↘️ -0.6 hPa/1h, Windsnelheid: 15.5 km/u (4.3 m/s), richting: ← 71°
• 05:00: 4.0°C (Helder) 🌕, 🧭 1027.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 15.5 km/u (4.3 m/s), richting: ← 74°
• 06:00: 3.8°C (Helder) 🌕, 🧭 1027.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 14.8 km/u (4.1 m/s), richting: ← 76°
• 07:00: 3.7°C (Helder) 🌕, 🧭 1027.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 14.4 km/u (4.0 m/s), richting: ← 70°
• 08:00: 3.6°C (Zonnig) ☀️, 🧭 1028.0 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 17.3 km/u (4.8 m/s), richting: ← 70°
• 09:00: 4.1°C (Zonnig) ☀️, 🧭 1028.3 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 17.6 km/u (4.9 m/s), richting: ← 80°
• 10:00: 5.1°C (Zonnig) ☀️, 🧭 1028.3 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 16.6 km/u (4.6 m/s), richting: ← 86°
• 11:00: 6.5°C (Zonnig) ☀️, 🧭 1028.1 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 16.2 km/u (4.5 m/s), richting: ← 86°
• 12:00: 8.2°C (Zonnig) ☀️, 🧭 1027.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 13.7 km/u (3.8 m/s), richting: ← 91°
• 13:00: 9.3°C (Zonnig) ☀️, 🧭 1027.4 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 12.6 km/u (3.5 m/s), richting: ← 88°

Voorspelling voor de komende dagen:

• vrijdag 06 november: Min 3.2°C, Max 10.1°C (Bewolkt) ☁️, 🧭 1024.5 hPa ↘️ -2.6 hPa/24h, Windsnelheid: 11.2 km/u (3.1 m/s), richting: ← 78°
• zaterdag 07 november: Min 2.9°C, Max 8.0°C (Lichte motregen) 🌦️, Neerslag 0.6 mm, Kans op neerslag 1%, 🧭 1023.7 hPa ↘️ -0.8 hPa/24h, Windsnelheid: 12.6 km/u (3.5 m/s), richting: ↖ 126°
• zondag 08 november: Min 5.5°C, Max 8.9°C (Bewolkt) ☁️, Kans op neerslag 6%, 🧭 1022.3 hPa ↘️ -1.4 hPa/24h, Windsnelheid: 11.6 km/u (3.2 m/s), richting: ↑ 189°
• maandag 09 november: Min 3.5°C, Max 9.6°C (Mist) 🌫️, Kans op neerslag 6%, 🧭 1020.2 hPa ↘️ -2.1 hPa/24h, Windsnelheid: 8.3 km/u (2.3 m/s), richting: ↑ 190°
• dinsdag 10 november: Min 2.3°C, Max 7.3°C (Mist) 🌫️, Kans op neerslag 13%, 🧭 1018.0 hPa ↘️ -2.2 hPa/24h, Windsnelheid: 12.4 km/u (3.4 m/s), richting: ← 85°
• woensdag 11 november: Min 5.2°C, Max 7.8°C (Lichte motregen) 🌦️, Neerslag 1.8 mm, Kans op neerslag 26%, 🧭 1008.8 hPa ↘️ -9.2 hPa/24h, Windsnelheid: 12.9 km/u (3.6 m/s), richting: ← 79°

Details:
• 🌡️ Huidige temperatuur (om 01:15): 5.5°C (Helder)
• 🤚 Gevoelstemperatuur: 1.2°C (-4.3°C)
• 💨 Windsnelheid: 16.9 km/u (4.7 m/s), richting: ← 82°
• 🌬️ Windstoten: 31.0 km/h (8.6 m/s)
• 💧 Luchtvochtigheid: 86%
• 🧭 Luchtdruk: 1029.1 hPa ↘️ -1.1 hPa/3h
• 👁️ Zichtbaarheid: 11.2 km
• ☀️ UV-index: 0.0
• 🌅 Zonsopgang: 07:43 · 🌇 Zonsondergang: 17:07

Luchtkwaliteit:
• AQI: 50 🟢 (Goed)
• PM2.5: 7.6 μg/m³
• PM10: 8.9 μg/m³

Gegevens geleverd door Open-Meteo

#Rotterdam #Meteo #MeteoBot #MeteoNetherlands #OpenMeteo #FediMeteo

マシューマシュー has added a photo to the pool:

Mamiya 645 Super
Mamiya Sekor C 80mm f/2.8
Fuji Pro 160NS
2023-10
Development: ヨドバシカメラ名古屋
Scan: Filmlab App Desktop

AI has become a juggernaut, driving technical strategy in the tech sector and outside of it. With the worldwide server market growing 30 percent in a single year to hit $122.6bn in the first quarter of 2025, IDC now feels safe recategorizing AI-driven investment "from cyclical to durable". The analyst company expects inference to account for over 70 percent of computing demand by next year, adding that it's growing fastest at the edge. Why enterprises are building their own All this investment in AI infrastructure might once have come mainly for hyperscalers, but that's changing quickly. Adoption is spreading quickly beyond public cloud service providers into enterprise environments, IDC adds. They're eager to run agentic AI in-house. There are plenty of reasons for companies to own their own AI infrastructure rather than offloading it to the cloud. One of these is data control, especially in regulated sectors such as finance, healthcare, manufacturing, and the public sector that have sovereign data requirements. Another revolves around the need for predictable costing from tokens delivered on tunable in-house systems. So what should companies look for in a supplier? Delivery speed will be a powerful driver for many who are under the gun to deliver AI initiatives for the business, especially during periods of constrained memory and CPU supply. Life cycle services will also come near the top of the list, for companies that need help managing everything from the power through to the reasoning LLM models and the workloads that use them. That need for expertise is unlikely to stop; companies will undergo changes in AI strategy as they get to grips with a still-evolving technology. From the desk to the datacenter ASUS expects this AI surge to continue in the datacenter, but elsewhere too, specifically in edge locations (especially industrial use cases) and at developers' desks, as the applications that will power the enterprise get made. It wants to be top of peoples' list for hardware and services at all these places along the AI continuum. At NVIDIA's GTC show in Berlin on Oct 21-22, it announced a full-stack AI offering that it's calling its Enterprise Agentic AI Solution. It's three-layer affair, featuring: ASUS AI Server and Infrastructure: Its selection of AI servers, including several new units. ASUS AI Software Stack: Its software for integrating and controlling AI workflows. ASUS AI HUB: A services operation that ties it all together. These bring together some existing assets that ASUS had for enterprise AI users, along with some new ones. The time is right for an end-to-end offering with new hardware because of the way the market is shifting, say ASUS execs. "ASUS servers help enterprises build high-performance agentic AI infrastructure capable of supporting both complex task execution and large-scale AI agent deployment, accelerating enterprise adoption of agentic AI," says Paul Ju, senior vice president and head of infrastructure solution BG at ASUS. While generative AI initially spiked demand, the advent of agentic AI has sent compute demand into overdrive. Ju explains that the focus is expanding from the GPU. "Historically, AI servers have been optimized primarily around GPU compute. But as enterprise AI shifts toward agentic AI, workloads increasingly revolve around a continuous ‘agent loop’ that is heavily CPU-dependent," he says. That loop takes in task planning, code execution, external tool invocation, and reflection or correction work. The CPU's increased role in this execution work is creating bottlenecks in conventional AI servers, he adds. The first such sticking point is single-thread performance, which leaves GPUs idling while they wait for CPUs to complete. The second lies in memory bandwidth. When this is managed on a per-core basis, it can slow things down when many agents run at once. The multi-die design of many CPUs also penalizes them in AI environments, because accessing data across dies introduces latency, Ju argues. CPUs with cores and cache on different dies suffer latency when data has to cross between them. Maintaining cache coherency exacerbates that problem. Finally, there's a security risk: a lack of hardware level sandbox isolation on some CPUs make it possible for prompt injection to reach core systems, he warns. Customers also bring their own challenges as they grapple with different applications for AI. Enterprises evaluating AI server options have to match their server platforms to the projected AI workload profiles, Ju adds. Training a supervised learning model to batch-classify insurance claims takes different technical resources to running a low-latency reasoning employee chatbot. What ASUS took to Berlin ASUS wants to help customers solve problems like these wherever they come up. With this in mind, the company had plenty of goodies for onlookers at GTC. Starting at the datacenter, the company announced both single and full-rack systems built around the NVIDIA HGX Rubin NVL8 eight-GPU server board. It has a 3U hybrid-cooled system, the XA NR11-E12L, along with the 2U 100 percent liquid-cooled XA NR11-E12, both targeting large AI reasoning workloads. The two Rubin units target different use cases. The 3U hybrid liquid cooling system uses direct-to-chip liquid cooling on the 8GPU baseboard, along with air-cooled dual Xeon 6 chips on a sled. The company pegs this as the easy transition path into AI factory hardware. The 2U unit, with its 100 percent liquid cooling, is tailored for maximum PUE and compute density. It also uses a cable-free board-to-board design to keep its footprint low. The kit will be speedy, too, with NVIDIA HGX Rubin offering 800Gbit of integrated bandwidth per GPU. ASUS is promoting the serviceability of these units through their use of tool list CPU and GPU sleds. It claims up to a 50 percent time saving on maintenance operations for these units, meaning less downtime per service and ultimately a lower total cost of ownership. Delivered fast for NVIDIA HGX Rubin ASUS is structuring its hardware proposition around speedy delivery so that customers can get hardware up and running to support their AI initiatives. That speed comes from validation carried out before delivery with the help of a pre-validated rack reference architecture. NVIDIA MGX Server for flexible builds In keeping with its focus on multiple designs for the right AI workload, ASUS also supports NVIDIA's modular MGX Blueprint for server builds. The selling point here is flexibility with a mixture of GPUs, CPUs, and networking options for enterprise inference, agents, and visual computing. This is the modular route for workloads that don't need the power of an 8-GPU HGX baseboard, and it covers a large gamut of enterprise inference and agentic use cases. ASUS showcased MGX servers including the 6U XA P8A-E14AXL with its eight liquid-cooled NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. A 2U sibling, the XA P4N-E2, sports NVIDIA Vera processors for agentic work. Solutions for the edge and developers The ASUS booth also featured the ExpertCenter Pro ET900N G3, powered by the GB300 Grace Blackwell Superchip developer desktop with 748GB of coherent memory, and the Ascent GX10 based on NVIDIA DGX Spark for agentic work. Also on show were the ProArt GR1X Mini PC and ProArt P16 and P14 laptop - the first laptops powered by NVIDIA RTX Spark - aimed at both developers and creators. For edge installations, it showed the PE3000N, its rugged NVIDIA Jetson T5000-based edge-AI computer aimed at use cases including industrial environments. Announced a year ago, this delivers up to 2,070 FP4 TFLOPS of peak AI performance with 128GB of memory. Targeted at industrial AI environments was the PE6000G, a workstation-grade AI and simulation platform. Rehearsing the AI factory in a digital twin Equipment only supports an AI factory when there is power to run it. ASUS has been taking steps with NVIDIA as a partner here, adopting its DSX AI Factory platform with digital twin system for laying out hardware and power in AI factory environments. DSX supports equipment using the NVIDIA Vera Rubin processor line, which supports dry coolers and a lower PUE with a 45 degree centigrade warm water inlet. ASUS configured racks become simulation-ready assets inside DSX, adopting its OpenUSD shared file format. That covers engineering data alongside the geometry for measuring real power draw and cooling requirements. ASUS wanted to target cooling as part of the original design plan for the AI Factory, not as a facility afterthought. So, the DSX partnership allows implementation teams to model water temperature, flow, pressure, CDU placement, and piping within the digital twin model. They translate information from the planning resources that go around this, such as the NVIDIA Omniverse DSX Blueprint framework, using the ASUS Infrastructure Deployment Center. Faster to build, easier to run The digital twin system isn't just for design and setup. It's supposed to keep working after go-live so that AI factory operators can simulate changes before touching hardware. The ASUS Control Center monitors the infrastructure while DSX exchange links IT and operational technology data. Operators can validate changes in the simulation before flipping the switch to go live. ASUS' goal here is clear: to assist enterprise customers as they tackle in-house AI opportunities while acknowledging that the performance profile and physical locations of their workloads will vary. As companies continue to evolve their understanding of AI and where it fits within the organization, they will need to be agile in how they plan and nurture their infrastructure from the datacenter out to the edge, and to the developer's desk. The Berlin announcements tie it together in a neat package for organizations that need help with their agentic aspirations. Learn More about ASUS NVIDIA HGX Rubin NVL8 Systems: XR R1I12B-M1BLFS | ASUS Servers Sponsored by ASUS

Naast mijn werk als Senior Purser bij de KLM ben ik vrijwilliger in een hospice. De afgelopen week heb ik echter zo’n rugpijn dat ik niet kan werken of mijn vrijwilligerswerk kan…