— Not only has AI failed to speed up coding work, but that it actually slows programmers down. Code produced with AI is unreliable, and most often leads to dangerous security vulnerabilities. The basic issue is that AI makes mistakes, which means coders must choose between double-checking everything, or crossing their fingers when they commit the code.
— Founded in 2021 by former Google and Meta engineers, Lakera develops security solutions for large language models and AI agents. It has R&D offices in Zurich and San Francisco and about 70 employees. Lakera's technology includes real-time protection and red-teaming tools for AI systems. Its Gandalf platform is used to test vulnerabilities in AI models.
— Swiss Post, Migros Online, and robotics firm RIVR have launched a field test of the RIVR ONE robot in the Swiss municipality of Regensdorf. The quadruped robot, developed from the ANYmal prototype, can walk on rough terrain or roll on wheels for faster and more energy-efficient travel. The robots will be used to deliver parcels and groceries from Swiss Post delivery vans to clients' doorsteps, with human supervision to ensure safety and reliability. This trial aims to explore the potential of autonomous delivery systems to reduce walking distances and heavy lifting while maintaining service quality.
— Not only has AI failed to speed up coding work, but that it actually slows programmers down. Code produced with AI is unreliable, and most often leads to dangerous security vulnerabilities. The basic issue is that AI makes mistakes, which means coders must choose between double-checking everything, or crossing their fingers when they commit the code.
— "The assumption that AI inherently reduces costs ignores its hidden expenses. For example, testing and evaluating AI systems [...] carry significant financial costs and time, which are often overlooked or excluded when calculating the costs of AI solutions."
— "A failure to properly test and assure AI systems risks increasing harm to the individuals and communities humanitarians are meant to serve. Without deeper analysis, the sector risks pursuing AI for its own sake rather than addressing structural inequities."
— "On one side, AI could accelerate long-overdue shifts towards decentralization and shared power. On the other, it could entrench existing hierarchies, reversing gains in localization. [...] The sector must interrogate whose interests are being served and how decision-making is structured. Donors must help smaller organisations — particularly those in the Global South — increase access to AI providers and incentivise partnerships between large and small organisations where skills and expertise on AI are shared."
— "Certification in standards related to the non-technical management and deployment of AI (such as ISO/IEEE 42001:2023, which is designed to help organisations responsibly govern their use of AI) should become mandatory, ensuring organisations deploy AI solutions responsibly."
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