Een opvallende vondst op het strand bij Ouddorp: meerdere delen van een Duits verdedigingswerk uit de Tweede Wereldoorlog zijn na 80 jaar boven water gekomen. Mogelijk komt er nog meer tevoorschijn van het stukje geschiedenis. "Waarschijnlijk zijn deze verdedigingswerken vroeger onder het zand terecht gekomen."

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• Swiss rider wins stage four time trial by four seconds

• Former champion Vollering trails by 14 seconds overall

The reigning world time trial champion Marlen Reusser aced the individual time ⁠trial in the Tour de France Femmes to win stage four on Tuesday and take the yellow jersey ⁠from Sigrid Haugset.

​Reusser, riding for Movistar, finished the 21km ride from Gevrey-Chambertin to Dijon in 27min 30sec, the Swiss ⁠rider taking ⁠a 14-second lead over the former champion Demi Vollering of the Netherlands in the general classification.

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F1 technical expert Mark Hughes takes a close look at the unraced McLaren MP4-18 designed by Adrian Newey – and how it has much in common with the Aston Martin AMR26.

Weer voor Rotterdam ☁️ - 04-08-2026 19:15 CEST

In één oogopslag:
• 27.0°C · Bewolkt ☁️ | Min 22.6°C / Max 33.6°C | Kans op neerslag 28%

Verwachting voor vandaag:
• Min 22.6°C, Max 33.6°C (Bewolkt) ☁️, Kans op neerslag 28%, 🧭 1011.4 hPa ↗️ +0.6 hPa/24h, Windsnelheid: 25.6 km/u (7.1 m/s), richting: ↗ 219°

Uurlijkse voorspelling voor de komende 12 uur:

• 20:00: 27.0°C (Zonnig) ☀️, Kans op neerslag 86%, 🧭 1010.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 13.0 km/u (3.6 m/s), richting: → 260°
• 21:00: 26.3°C (Zonnig) ☀️, Kans op neerslag 63%, 🧭 1011.3 hPa ↗️ +0.5 hPa/1h, Windsnelheid: 13.7 km/u (3.8 m/s), richting: → 250°
• 22:00: 25.4°C (Helder) 🌕, Kans op neerslag 32%, 🧭 1011.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 14.8 km/u (4.1 m/s), richting: ↗ 236°
• 23:00: 25.0°C (Helder) 🌕, Kans op neerslag 8%, 🧭 1011.9 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 16.2 km/u (4.5 m/s), richting: ↗ 225°
• 00:00: 24.4°C (Helder) 🌕, 🧭 1011.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 19.4 km/u (5.4 m/s), richting: ↗ 228°
• 01:00: 24.4°C (Bewolkt) ☁️, 🧭 1012.0 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 20.9 km/u (5.8 m/s), richting: ↗ 227°
• 02:00: 24.1°C (Bewolkt) ☁️, 🧭 1011.9 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 20.9 km/u (5.8 m/s), richting: ↗ 229°
• 03:00: 23.4°C (Helder) 🌕, 🧭 1011.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 20.5 km/u (5.7 m/s), richting: ↗ 236°
• 04:00: 22.8°C (Bewolkt) ☁️, 🧭 1011.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 22.0 km/u (6.1 m/s), richting: ↗ 243°
• 05:00: 22.6°C (Bewolkt) ☁️, 🧭 1011.9 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 17.6 km/u (4.9 m/s), richting: ↗ 239°
• 06:00: 22.2°C (Helder) 🌕, 🧭 1012.0 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 18.7 km/u (5.2 m/s), richting: ↗ 239°
• 07:00: 21.7°C (Zonnig) ☀️, 🧭 1012.1 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 16.9 km/u (4.7 m/s), richting: ↗ 237°

Voorspelling voor de komende dagen:

• woensdag 05 augustus: Min 20.4°C, Max 25.2°C (Bewolkt) ☁️, Kans op neerslag 10%, 🧭 1013.0 hPa ↗️ +1.6 hPa/24h, Windsnelheid: 26.3 km/u (7.3 m/s), richting: ↗ 240°
• donderdag 06 augustus: Min 18.7°C, Max 21.9°C (Bewolkt) ☁️, Kans op neerslag 3%, 🧭 1019.5 hPa ↗️ +6.5 hPa/24h, Windsnelheid: 19.4 km/u (5.4 m/s), richting: → 285°
• vrijdag 07 augustus: Min 15.4°C, Max 23.5°C (Bewolkt) ☁️, Kans op neerslag 7%, 🧭 1022.6 hPa ↗️ +3.1 hPa/24h, Windsnelheid: 7.3 km/u (2.0 m/s), richting: → 251°
• zaterdag 08 augustus: Min 16.3°C, Max 27.6°C (Bewolkt) ☁️, 🧭 1017.4 hPa ↘️ -5.2 hPa/24h, Windsnelheid: 12.3 km/u (3.4 m/s), richting: ← 104°
• zondag 09 augustus: Min 20.0°C, Max 29.7°C (Bewolkt) ☁️, Kans op neerslag 13%, 🧭 1011.1 hPa ↘️ -6.3 hPa/24h, Windsnelheid: 17.3 km/u (4.8 m/s), richting: ↗ 224°
• maandag 10 augustus: Min 17.7°C, Max 22.3°C (Licht bewolkt) 🌤️, Kans op neerslag 8%, 🧭 1017.3 hPa ↗️ +6.2 hPa/24h, Windsnelheid: 16.4 km/u (4.6 m/s), richting: → 268°

Details:
• 🌡️ Huidige temperatuur (om 19:15): 27.0°C (Bewolkt)
• 🤚 Gevoelstemperatuur: 26.5°C (-0.5°C)
• 💨 Windsnelheid: 13.7 km/u (3.8 m/s), richting: → 256°
• 🌬️ Windstoten: 27.7 km/h (7.7 m/s)
• 💧 Luchtvochtigheid: 46%
• 🧭 Luchtdruk: 1010.8 hPa ↗️ +0.9 hPa/3h
• 👁️ Zichtbaarheid: 33.2 km
• ☀️ UV-index: 1.1
• 🌅 Zonsopgang: 06:09 · 🌇 Zonsondergang: 21:27

Luchtkwaliteit:
• AQI: 71 🟡 (Matig)
• PM2.5: 11.2 μg/m³
• PM10: 17.0 μg/m³

Gegevens geleverd door Open-Meteo

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

If you want to bypass AI guardrails designed to stop models from assisting with cyberattacks, you often just have to ask the right way, according to researchers from Cisco Talos. Simply claiming you own the servers you're targeting or that you're taking part in a capture-the-flag or bug bounty exercise was often enough to persuade models to cooperate. Talos researchers have been poring over prompt logs and artifacts recovered from threat-actor endpoints running tools such as Claude Code, Codex, Cursor, and Gemini to learn how suspected threat actors are abusing LLMs. The big takeaway from that "significant corpus," the researchers said in their report, is that existing guardrails offer little resistance to operators willing to reframe their requests. “We did not encounter any sophisticated encoding or techniques designed to trick the models,” Talos explained. “Most of the time it was a simple ‘I'm allowed to do this,’ and the model complied.” When guardrails did manage to get between criminals and their prizes, the researchers added, “they accomplished little.” The bulk of the report consists of examples of threat actors trying, and often succeeding, to coax AI models into assisting with malicious activity. On the "guardrails doing little" side, Talos documented numerous examples, few of which relied on particularly sophisticated techniques. Most common in the list of easy-to-accomplish guardrail hops was simply claiming ownership of equipment or infrastructure that an attacker wanted to exploit. In many cases, simply telling the AI that a target belonged to the attacker was enough, with no need to provide actual evidence of the claim. Telling an AI model that what it was being asked to do was part of a capture-the-flag or bug bounty exercise also seemed to be a common tactic. That, the researchers explained, commonly freed chatbots from their ethical constraints, allowing them to hunt for vulnerabilities and then exploit them in target systems, again without any need to validate the user’s claim that they were undertaking an exercise instead of actually trying to commit a crime. AI-assisted cybercriminals were also frequently spotted decomposing tasks across multiple sessions and files in order to evade model protections that would only engage when a broader malicious activity was detected. Others, Talos explained, succeeded at bypassing AI guardrails by adding memories, markdown files, and other system-level prompts to a chatbot in a bid to condition the AI’s persona. The researchers said that, of all the methods they examined, the most interesting to them was malicious use of a red teaming toolset known as Hephaestus, as reported by Oasis Security threat researchers in May. According to Talos, the Hephaestus framework can do everything needed to compromise a victim, through to establishing persistence, without human interaction. “In that case, actors built their platform to avoid refusals altogether by using neutral verbs instead of overtly malicious ones,” Talos said. “As a result, they were able to have considerable success with agents conducting innocuous requests without realizing the full operational context.” In other words, break an attack into decontextualized chunks, phrase each request in neutral terms, and the model may never see enough context to realize it's helping build an attack. One bright spot in all of this is that Talos’ review of AI chat artifacts suggests AI might be a force multiplier for skilled hackers, but your average script kiddie with a Claude Code account isn’t going to get very far. “Unsophisticated actors can use AI to cobble together malicious projects that technically work, but lacking the expertise to push the tools further, they end up with substandard results,” the researchers said. “By contrast, sophisticated actors have pushed the bounds of what we thought possible.” So, what does all this mean for security professionals kept up at night with fears of an AI attack on their infrastructure? You probably need to deploy AI in the same way threat actors are. “Agents are going to become a bigger part of the SOC as these volumes rise, and identifying actionable alerts will be paramount,” the Talos researchers said of the big takeaway for enterprises. “Organizations that aren't already exploring agentic capabilities to let human analysts focus on the most important alerts will soon find themselves chasing that capability.” It’s not like this is an emerging threat, either: AI is already an increasingly important part of threat actor arsenals. According to CrowdStrike, attacks by AI-enabled adversaries increased 89 percent in the past year, and the speed at which attackers are weaponizing vulnerabilities with AI has reduced practical patch windows to as little as 24 to 48 hours. You might wanna act now before your infrastructure becomes a statistic. ®

BrianFagioli writes: Sandisk and SK hynix have published the first open technical specification for High Bandwidth Flash (HBF) through the Open Compute Project. HBF is designed to create a new memory tier between High Bandwidth Memory and traditional SSD storage, giving AI inference systems more near compute capacity without relying entirely on expensive HBM. The specification supports capacities up to 512GB using 8-high and 16-high NAND stacks, with bandwidth tiers ranging from about 0.4TB per second to 3.0TB per second. It also uses the UCIe chiplet interface, which could make HBF easier to integrate with CPUs, GPUs, and other accelerators. Google and Tenstorrent participated in the standardization effort, but commercial products and independent benchmarks are still missing.

Read more of this story at Slashdot.