Russian drones found near vital European offshore gas site, get blown up
This follows many drone incursions into Romania and a failed attack in Germany.
Ars Technica · 14 hours ago
Section
Gadgets, platforms, software, and the companies building them.
This follows many drone incursions into Romania and a failed attack in Germany.
Ars Technica · 14 hours ago
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Quantinuum · 14 hours ago
The ransomware-as-a-service operation is finding success against critical infrastructure targets with leaked Conti code and old flaws in firewalls and VPN appliances.
DarkReading · 14 hours ago
It kicks off at midnight on Wednesday, so grab a snack and some caffeine.
CNET · 14 hours ago
Draft memo taps AI data analysis biz for help with military production efficiency
The Register · 14 hours ago
Related coverage: iOS 27 leak basically confirms the whole iPhone 18 lineup for the first time phonearena.com
phonearena.com · 14 hours ago
We investigate whether large language models can introspect on their internal states. It is difficult to answer this question through conversation alone, as genuine introspection cannot be distinguished from confabulations. Here, we address this challenge by injecting representations of known concepts into a model's activations, and measuring the influence of these manipulations on the model's self-reported states. We find that models can, in certain scenarios, notice the presence of injected concepts and accurately identify them. Models demonstrate some ability to recall prior internal representations and distinguish them from raw text inputs. Strikingly, we find that some models can use their ability to recall prior intentions in order to distinguish their own outputs from artificial prefills. In all these experiments, Claude Opus 4 and 4.1, the most capable models we tested, generally demonstrate the greatest introspective awareness; however, trends across models are complex and sensitive to post-training strategies. Finally, we explore whether models can explicitly control their internal representations, finding that models can modulate their activations when instructed or incentivized to "think about" a concept. Overall, our results indicate that current language models possess some functional introspective awareness of their own internal states. We stress that in today's models, this capacity is highly unreliable and context-dependent; however, it may continue to develop with further improvements to model capabilities.
Hacker News · 14 hours ago
Something happened at [BSidesSF](https://bsidessf.org/) 2026 that nobody saw coming. The top ten teams in the Capture The Flag competition didn't just use AI to...
Hacker News · 14 hours ago
Hackers associated with the Russian threat group Sandworm have been targeting system administrators and IT professionals through fake job offers since at least May. [...]
BleepingComputer · 14 hours ago
The app was banned from government devices in 2022.
Engadget · 14 hours ago
Device-bound session credentials thwart an increasingly common form of account takeover.
Ars Technica · 14 hours ago
A new report from Sensor Tower shows that non-gaming apps continued to drive global mobile spending growth in Q2 2026 across iOS and Android, while gaming revenue declined 4.5% year over year. Here are the details.
9to5Mac · 14 hours ago
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Investor's Business Daily · 14 hours ago
How P4NE Hides Its Donor Funding
Hacker News · 14 hours ago
Most AI flyers are still a mess, but the right prompts can make all the difference.
ZDNet · 14 hours ago
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MacRumors · 14 hours ago