
Google has introduced a new way of measuring AI usage for its Gemini AI apps, focusing on computing power rather than the number of requests. This change means that users may find their AI capabilities limited by the complexity of their tasks. The new system is intended to better align with Google's resource costs, but it may create confusion for users about their usage limits. Subscription plans now offer different levels of access, with higher tiers allowing for more complex AI interactions. This update reflects Google's emphasis on efficient resource management.
Read originalSuno, an AI music startup, has been caught using millions of songs, lyrics, and podcasts from platforms like YouTube Music and Deezer to train its models. This discovery followed a security breach by a hacker who exposed internal data and customer details. The dataset includes over 113,000 hours of YouTube Music audio, sparking debates about potential copyright violations and data privacy issues. Suno maintains that its data usage is protected under fair use, but this claim is likely to face scrutiny from the music industry. The situation underscores the complex relationship between AI development and intellectual property rights, as companies navigate the legal landscape.
© WIRED AIResearchers at Tracebit have ingeniously repurposed prompt injections as a defensive mechanism against AI hacking agents. By embedding these prompts alongside sensitive data in AWS environments, they can induce a refusal response in large language models, effectively halting potential attacks. This method, known as 'context bombing,' has demonstrated remarkable effectiveness, significantly lowering the success rate of AI-driven attacks in trials. This approach not only introduces a novel use for prompt injections but also provides a promising new avenue for strengthening AI security defenses.
© WIRED AISan Francisco's city attorney has taken decisive action against Apple and Google, demanding they remove apps that generate AI-created nonconsensual nude images. These apps exploit AI technology to produce explicit deepfakes, often targeting women and girls, and have been downloaded millions of times. The legal notices accuse the tech giants of profiting from these harmful apps, which violate California laws against deepfake pornography. Despite existing policies, both companies have faced challenges in keeping such apps off their platforms, highlighting the need for more effective moderation. This move reflects growing concerns over the misuse of AI technology to create explicit content without consent, and pressures tech companies to take stronger action. The persistence of these tools calls for a reevaluation of current enforcement mechanisms to prevent future occurrences.
© TechCrunch AIDatabricks has announced a new funding round valuing the company at $188 billion, reflecting its successful shift towards AI. Although the exact amount raised is not confirmed, reports suggest it's around $3 billion. This significant valuation increase highlights Databricks' evolution from a big data leader to a key player in AI, leveraging its extensive enterprise data to deliver AI solutions like Lakebase and Unity. By adopting open-weight models such as Z.ai's GLM 5.2, Databricks offers cost-effective alternatives to proprietary models, enhancing its reputation in the AI field. The company's strategic focus on AI has positioned it as a major force in the industry, attracting substantial investment and interest.
© TechCrunch AIAgility Robotics is strategically expanding by establishing a 60,000-square-foot facility in Fremont, California, close to Tesla's operations. This new site is set to enhance the training and deployment of its humanoid robot, Digit, which is already proving its worth in manufacturing and warehouse environments. With $300 million in contract orders, Agility is cementing its position as a frontrunner in the humanoid robotics sector, while also preparing for a reverse-merger to enter the public market. By focusing on practical, real-world applications rather than speculative consumer markets, Agility is distinguishing itself from newer AI-inspired robotic startups.
© TechCrunch AIThe surge in AI-driven demand for memory chips is reshaping India's smartphone market, with rising costs leading to a significant decline in shipments. As manufacturers prioritize high-bandwidth memory for AI applications, the reduced capacity for standard memory has driven up prices for consumer electronics. This has hit India particularly hard, where the market is sensitive to price changes, causing a 10% drop in smartphone shipments. Consumers are delaying upgrades, and brands are adjusting strategies, with some retreating from less profitable markets. The trend reveals the broader impact of AI on global supply chains and consumer behavior, as companies navigate the new economic landscape.