One of the RISC-V SoCs we have been most looking forward to this year is the SpacemiT K3 that features the X100 RISC-V cores that are RVA23 compliant and among the first readily available RVA23 RISC-V platform for running on the likes of Ubuntu 26.04 LTS. In this article is a preview of some very early benchmarks of the SpacemiT K3 with the new Pico-ITX single board computer offering.

The SpacemiT K3 features eight X100 RISC-V cores as well as eight ultra-wide parallel AI computing A100 cores. The X100 cores clock up to 2.4GHz and are RVA23 profile compliant and largely associated as delivering similar performance to the Arm Cortex-A76 cores. The A100 AI cores support INT4 / INT8 / FP8 / FP16 / BF16 and rated for around 60 TOPS API performance. The A100 cores are also among the few RISC-V cores so far available that support RVV 1.0 vector processing.

The SpacemiT K3 Pico-ITX is an interesting little board that pairs the K3 SoC with 10Gb networking, UFS storage, dual M.2 expansion slots, USB Type-C with power delivery and 4K DisplayPort output, and dual channel LPDDR5-6400 memory with 16GB and 32GB configurations offered.

cross-posted from: https://lemmy.ml/post/47499847

BayLibre is proud to announce a successful collaboration with SpacemiT to enable initial functionalities of Android 16 on the SpacemiT K1 (RISC-V RVA22 + RVV 1.0) System-on-Chip (SOC). This achievement marks a significant step toward validating and accelerating Android enablement on high-end RISC-V platforms.

The main objective of this project was to validate the feasibility of porting modern Android to recent, high-performance RISC-V platforms. Furthermore, this work serves as crucial preparation for Android enablement on upcoming RISC-V profile RVA23 SOCs, as much of the effort and code will be directly reusable.

BayLibre is proud to announce a successful collaboration with SpacemiT to enable initial functionalities of Android 16 on the SpacemiT K1 (RISC-V RVA22 + RVV 1.0) System-on-Chip (SOC). This achievement marks a significant step toward validating and accelerating Android enablement on high-end RISC-V platforms.

The main objective of this project was to validate the feasibility of porting modern Android to recent, high-performance RISC-V platforms. Furthermore, this work serves as crucial preparation for Android enablement on upcoming RISC-V profile RVA23 SOCs, as much of the effort and code will be directly reusable.

cross-posted from: https://lemmy.ml/post/47263342

The investment will be used to strengthen the structural reliability and security of KDE's core infrastructure, including Plasma, KDE Linux, and the frameworks underlying its communication services.

cross-posted from: https://lemmy.ml/post/47263342

The investment will be used to strengthen the structural reliability and security of KDE's core infrastructure, including Plasma, KDE Linux, and the frameworks underlying its communication services.

cross-posted from: https://lemmy.ml/post/47263342

The investment will be used to strengthen the structural reliability and security of KDE's core infrastructure, including Plasma, KDE Linux, and the frameworks underlying its communication services.

cross-posted from: https://lemmy.ml/post/47263342

The investment will be used to strengthen the structural reliability and security of KDE's core infrastructure, including Plasma, KDE Linux, and the frameworks underlying its communication services.

The investment will be used to strengthen the structural reliability and security of KDE's core infrastructure, including Plasma, KDE Linux, and the frameworks underlying its communication services.

cross-posted from: https://lemmy.ml/post/47263094

Current approaches to addressing deceptive design largely focus on visible interface manipulations, commonly referred to as "dark patterns". With the rise of generative AI, deception is becoming more difficult to spot and easier to live with, as it is quietly embedded in default settings, automated suggestions, and conversational interactions rather than discrete interface elements. These subtle, normalised forms of influence, which Simone Natale frames as "banal deception", shape everyday digital use and blur the line between AI-enabled assistance and manipulation.

This position paper explores banality as a lens through which to reason through deception in generative AI experiences, especially with chatbots. We explore what Natale describes as users' own involvement in their deception, and argue that this perspective could lead to future work for introducing friction to safeguard users from deception in generative AI interactions, such as empowering users through raising awareness, providing them with intervention tools, and regulatory or enforcement improvements. We present these concepts as points for discussion for the deceptive design scholarly community.

Full paper: PDF | HTML | TeX source

Current approaches to addressing deceptive design largely focus on visible interface manipulations, commonly referred to as "dark patterns". With the rise of generative AI, deception is becoming more difficult to spot and easier to live with, as it is quietly embedded in default settings, automated suggestions, and conversational interactions rather than discrete interface elements. These subtle, normalised forms of influence, which Simone Natale frames as "banal deception", shape everyday digital use and blur the line between AI-enabled assistance and manipulation.

This position paper explores banality as a lens through which to reason through deception in generative AI experiences, especially with chatbots. We explore what Natale describes as users' own involvement in their deception, and argue that this perspective could lead to future work for introducing friction to safeguard users from deception in generative AI interactions, such as empowering users through raising awareness, providing them with intervention tools, and regulatory or enforcement improvements. We present these concepts as points for discussion for the deceptive design scholarly community.

Full paper: PDF | HTML | TeX source

cross-posted from: https://piefed.world/c/europe/p/1102854/european-union-surveillance-technology-sold-to-rights-violators

cross-posted from: https://piefed.world/c/tech/p/1102847/european-union-surveillance-technology-sold-to-rights-violators

Languages

• Français;
• Deutsch;
• Italiano;
• Español.

54-Page Report “Looking the Other Way: EU Failure to Prevent Surveillance Exports to Rights Violators": HTML/Online— PDF.

• EU member states host many companies that produce dangerous surveillance technology that can be used to violate rights, the export of which necessitates robust controls.
• The implementation and oversight of the EU regulatory framework governing export of surveillance technologies have serious flaws, resulting in the technology being sold to those who use it in violation of international human rights and humanitarian law.
• The EU should tighten the controls requiring states to do greater human rights due diligence, block risky exports, and enforce the transparency and reporting requirements so they provide meaningful oversight and accountability.

cross-posted from: https://piefed.world/c/europe/p/1102854/european-union-surveillance-technology-sold-to-rights-violators

cross-posted from: https://piefed.world/c/tech/p/1102847/european-union-surveillance-technology-sold-to-rights-violators

Languages

• Français;
• Deutsch;
• Italiano;
• Español.

54-Page Report “Looking the Other Way: EU Failure to Prevent Surveillance Exports to Rights Violators": HTML/Online— PDF.

• EU member states host many companies that produce dangerous surveillance technology that can be used to violate rights, the export of which necessitates robust controls.
• The implementation and oversight of the EU regulatory framework governing export of surveillance technologies have serious flaws, resulting in the technology being sold to those who use it in violation of international human rights and humanitarian law.
• The EU should tighten the controls requiring states to do greater human rights due diligence, block risky exports, and enforce the transparency and reporting requirements so they provide meaningful oversight and accountability.