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- AI security threats, nuclear-powered data centers, and Nvidia's new AI model
AI security threats, nuclear-powered data centers, and Nvidia's new AI model
AI startups tackle security, Nvidia drops a GPT-4 rival, and Google turns to nuclear energy for its data centers. Big moves in the AI landscape. Read more.
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Latest headlines 👇
As AI adoption grows, security concerns are emerging, particularly around data leakage and adversarial attacks. Startups like Opaque Systems, Credo AI, and Zendata are developing solutions to protect AI systems and sensitive data. Continuous monitoring platforms, such as Protect AI and HiddenLayer, are also stepping in to assess and respond to threats in real time. With companies in regulated industries facing increased risks, the demand for AI security solutions is creating new opportunities for startups. Read more
The UK government is set to launch a consultation on an "opt-out" system allowing AI companies to scrape online content unless publishers and creators actively decline. While tech giants like Google support the model, publishers and creatives argue it unfairly burdens them, making it harder to protect their intellectual property. The creative industry prefers an "opt-in" system that would require licensing agreements and compensation. The consultation is expected to begin after the October 30 budget. Read more
A new tool testing compliance with the EU AI Act has found that AI models from companies like OpenAI and Meta fall short in areas such as cybersecurity and discriminatory output. Developed by LatticeFlow AI, the "LLM Checker" awarded scores between 0 and 1 across various categories. Some models, like OpenAI’s GPT-3.5 Turbo and Meta’s Llama 2, received low marks for discriminatory output and vulnerability to "prompt hijacking" attacks. With fines of up to 7% of global turnover for non-compliance, tech firms face pressure to fine-tune their models ahead of the AI Act’s full enforcement by 2025. Read more
Nvidia quietly released Llama-3.1-Nemotron-70B-Instruct, an AI model that surpasses GPT-4 and other industry leaders in key benchmarks. This strategic move marks Nvidia's shift from GPU powerhouse to AI model pioneer, with its new model outperforming competitors in language understanding and generation. Offering businesses a cost-efficient, flexible AI solution, the release intensifies competition in the AI space and signals Nvidia's growing influence beyond hardware. Read more
Top AI leaders are shifting from fear-based narratives to hype, with figures like Sam Altman and Dario Amodei touting AI's potential to revolutionize everything from scientific discovery to governance. Amodei speculates that AI could accelerate progress so dramatically it might "compress" the 21st century, enabling breakthroughs in healthcare, economics, and democracy. While this optimism has its allure, critics warn against assuming AI will reshape humanity without addressing its imperfections. Read more
TSMC, the world's largest chipmaker, reported a 54% jump in quarterly profit driven by high demand for AI chips. The company, whose clients include Apple and Nvidia, expects 2024 revenue to grow nearly 30%, with AI processors making up a significant share. TSMC’s capital expenditure will rise, with plans for expansion in Arizona and healthy growth forecasted through 2025. This strong performance comes amid industry concerns sparked by competitor ASML’s lower projections. Read more
Google has signed a deal with Kairos Power to use small nuclear reactors to meet the growing energy demands of its AI data centres. The first reactor is expected online by 2030, with more planned by 2035. This shift towards nuclear energy aligns with tech companies' efforts to reduce carbon emissions while powering increasingly energy-hungry data centres. The move comes amid a broader industry trend as firms like Microsoft and Amazon also turn to nuclear solutions to power their operations. Read more