Last August, some of the best cybersecurity teams in the business gathered in Las Vegas to demonstrate the strength of their AI bug-finding systems at DARPA’s Artificial Intelligence Cyber Challenge (AIxCC). The tools had scanned 54 million lines of actual software code that DARPA had injected with artificial flaws. The teams were capable enough to […]
Google has signed a classified deal that allows the US Department of Defense to use its AI models for “any lawful government purpose,” The Information reports. The agreement was reported less than a day after Google employees demanded CEO Sundar Pichai block the Pentagon from using its AI amid concerns that it would be used […]
Otter is also releasing a new Windows app that can capture meeting notes without joining one
tough-as-nails wanderer Reacher and the lead of Netflix’s “War Machine,” there was an occasion when Alan Ritchson nearly achieved superhero status in one of the most significant film franchises ever created. Ritchson, who has now portrayed ex-military police officer Jack Reacher for three seasons in the successful Prime Video series, disclosed to Men’s Health in an interview that he came close to being selected as the MCU’s Thor, only to have his lightning taken away by Chris Hemsworth.
Reflecting on the missed job opportunity, Ritchson has candidly acknowledged that the lost role was solely his responsibility. “I didn’t take it with the seriousness it deserved. I thought, ‘They’ll give me the role if I resemble the character; no one really cares about the acting.'” The feedback he received confirmed his regret, being informed post-audition that he hadn’t demonstrated “the artistry” Marvel was seeking.
To have pursued the heroic role with such a nonchalant demeanor might astonish some dedicated Ritchson supporters, considering his career prior to turning henchman into pulp in “Reacher.” Before Jason Momoa embraced the title of king of the oceans, Ritchson played Arthur Curry, also known as Aquaman, in the Superman prequel series “Smallville.” Fast forward to 2018, and he donned another crime-fighting outfit, this time as Hank Hall, also known as Hawk, in “Titans.” Nonetheless, there’s one part that DC enthusiasts were eager to see him in, but it appears the leader of that universe may have other intentions.
<div class="slide-key image-holder gallery-image-holder credit-image-wrap
Horror author Stephen King has defended Jimmy Kimmel after Melania Trump called for him to be fired on X.
T-Mobile is offering a month free of its 5G home internet on all three of its plans and up to $200 cash back when you sign up.
Waveshare ESP32-C5-WIFI6-KIT development kit looks similar to the official Espressif Systems ESP32-C5-DevkitC-1 board, but offers a wider range of options, including different PSRAM and flash capacities, and onboard or external antenna selection. While the official devkit ships with 8MB PSRAM, 4MB SPI flash, and a PCB antenna, the Waveshare board is offered with up to 8MB PSRAM, 16MB or 32MB flash, and either a PCB and external antennas. It also adds battery support and can be ordered with or without pre-soldered headers. Waveshare ESP32-C5-WIFI6-KIT specifications: Wireless module – ESP32-C5-WROOM-1 or ESP32-C5-WROOM-1U SoC â ESP32-C5 CPU Single-core 32-bit RISC-V processor @ up to 240 MHz Low-power RISC-V core @ 40 MHz acting as the main processor for power-sensitive applications Memory â 384 KB SRAM on-chip Storage â 320 KB ROM Connectivity Dual-band (2.4GHz/5 GHz) 802.11ax WiFi 6, with 802.11b/g/n WiFi 4 standard fallback 20MHz bandwidth for the 802.11ax mode 20/40MHz bandwidth […]
The post ESP32-C5-WIFI6-KIT dual-band WiFi IoT board offers up to 32MB flash, 8MB PSRAM, onboard or external WiFi antenna appeared first on CNX Software – Embedded Systems News.
I apologize, but I am unable to help with that request.
According to Nielsen, the leading free streaming service is indeed The Roku Channel, which is not limited to Roku streaming devices and smart TVs.
In February 2026, The Roku Channel accounted for 2.9% of total streaming activity, surpassing Tubi’s 2.2% and Pluto TV’s 2.1% market share. This indicates that The Roku Channel was preferred over paid streaming options like Paramount+ and Warner Bros. Discovery. Frankly, this isn’t surprising given that The Roku Channel features a user-friendly interface filled with original content and an expanding variety of live channels. As noted, the app is accessible on most smart TV brands, and users can also stream via a web browser or the mobile app on their smartphones.
The Roku Channel excels at highlighting trending titles and suggesting content based on your viewing patterns. Additionally, you can compile a Save List for movies and shows that synchronizes across devices; just ensure you’re logged into your Roku account (which is also free) on each device.
It’s becoming increasingly difficult to remember the initial phase of Netflix streaming, yet in its early days, it was a complimentary addition to a DVD-by-mail service. Currently, the most basic streaming plan offered by the company costs $9 per month with ads or $20 per month for an ad-free experience. Numerous other paid platforms exist with varying membership levels, and the costs for all these services are consistently on the rise. If you’re subscribed to three or four paid platforms, you might find yourself nearing the
### Grasping the Hazards of Code Generated by LLMs in Mobile Applications
In the swiftly changing realm of mobile app development, the incorporation of Large Language Models (LLMs) has brought forth both groundbreaking innovations and notable risks. In a recent installment of Apple @ Work, Alan Snyder from NowSecure shared insights on these risks, with particular emphasis on MARI (Mobile Application Risk Intelligence) and the implications of employing LLM-generated code in mobile applications.
#### The Surge of LLMs in Development
Large Language Models have revolutionized how developers tackle coding tasks by offering tools capable of generating code segments, automating repetitive tasks, and even providing debugging assistance. This technology holds the promise of boosting productivity and optimizing the development workflow. Nevertheless, like any potent tool, it presents its own array of challenges and hazards.
#### Hazards Linked to LLM-Generated Code
1. **Security Risks**: A major concern surrounding LLM-generated code is the potential for security vulnerabilities. Since LLMs are trained on extensive datasets, they might inadvertently produce code that contains flaws or exploits that could be exploited by malicious entities.
2. **Code Quality Issues**: The quality of code produced by LLMs can greatly vary. Without adequate oversight and validation, developers may incorporate poorly structured or inefficient code into their applications, resulting in performance issues and higher maintenance expenses.
3. **Reliance on AI**: As developers increasingly depend on LLMs for coding aid, there is a danger of their own coding skills declining. This reliance can result in a lack of grasp of basic programming principles, hindering developers’ ability to recognize and resolve problems in the AI-generated code.
4. **Concerns Over Intellectual Property**: The utilization of LLMs prompts inquiries about intellectual property rights. Code produced by these models might unintentionally mirror existing code from the training datasets, leading to potential legal disputes over copyright violations.
5. **Insufficient Contextual Awareness**: LLMs may not completely understand the context or specific needs of a project, leading to the production of code that does not align with the desired functionality or user experience.
#### MARI: A Tool for Managing Risks
To mitigate these hazards, tools such as MARI (Mobile Application Risk Intelligence) are vital. MARI offers insights into the security and compliance of mobile applications, aiding developers in identifying vulnerabilities and ensuring that their apps conform to industry standards. By utilizing MARI, organizations can more effectively manage the risks tied to LLM-generated code and reinforce the overall security stance of their mobile applications.
#### Conclusion
The assimilation of LLMs into mobile app development brings forth both prospects and challenges. While these models can greatly enhance efficiency and productivity, it is essential for developers and organizations to stay alert to the possible risks. By employing tools like MARI and upholding a strong emphasis on security and quality assurance, developers can leverage the benefits of LLMs while mitigating the related dangers.
For additional insights on this subject, tune in to the complete discussion with Alan Snyder on the newest episode of Apple @ Work.
