🗞 Elon Musk's companies embrace Nvidia hardware despite potential rivalry

🤝 Elon Musk's companies embrace Nvidia hardware despite potential rivalry. Read More

• While Nvidia CEO Jensen Huang denies advertising on X, Musk's firms like Tesla and xAI are major Nvidia clients, purchasing GPUs and computing power for AI development

• Despite Musk's critique of Nvidia's "monopolistic" practices, his companies rely heavily on Nvidia technology, with Tesla aiming to spend billions on Nvidia hardware this year

• The relationship highlights the indispensable role of Nvidia in the AI race, even as Musk pursues ambitious plans to build rival AI supercomputers through projects like Tesla's Dojo

🌱 Sakana AI unveils novel AI models inspired by evolution. Read More

• Sakana AI, a Tokyo startup by former Google researchers, employed "model merging" to combine existing AI models, mimicking natural selection and breeding processes

• This evolutionary approach yielded hundreds of model generations, with the most successful ones becoming "parents" for the next iteration, resulting in three new Japanese language models

• Two of these models are being open-sourced, positioning Sakana AI to establish Tokyo as an AI hub, similar to OpenAI's impact on San Francisco and DeepMind's on London

💡 Former Google employee reveals internal turmoil over rushed Gemini AI launch. Read More

• According to the source, Google abandoned fairness and ethical principles to expedite Gemini's launch, disregarding safety warnings from internal reviewers under pressure from ChatGPT's success

• The company's culture prioritizes launching new products over refining existing ones, incentivizing employees to overlook potential issues and push AI models prematurely

• Flawed review processes, lack of coordination between teams, and reassignment of staff contributed to Gemini's problematic debut, raising concerns about Google's ability to responsibly develop AI technology

🍲 AI to accelerate food and beverage product development by streamlining market research and formulation. Read More 

• AI can analyze online data to better understand consumer preferences, complementing traditional market research methods like focus groups and surveys

• Digital twinning and simulation powered by AI allow companies to virtually test product formulations, reducing costly physical testing during development

• While supply chain limitations persist, AI-driven formulation promises to help brands rapidly create new products aligned with market demands

🤖 GitHub unveils AI tool to automatically fix code vulnerabilities, combining Copilot with CodeQL analysis. Read More 

• The new "code scanning autofix" feature promises to remediate over two-thirds of detected vulnerabilities, often without developers having to edit code themselves

• It leverages GitHub's Copilot AI assistant alongside the CodeQL semantic code analysis engine to find and generate fixes for security flaws during the coding process

• Initially supporting JavaScript, TypeScript, Java, and Python, the tool aims to reduce manual remediation efforts and allow security teams to focus on higher-level strategies

🩺 AI tool excels at detecting breast cancer from mammograms, outperforming human radiologists in trials. Read More

• An AI system called Mia analyzed mammograms of over 10,000 women, successfully identifying all cases of breast cancer that human doctors caught, plus 11 additional cases they missed

• Trained on a dataset of 6,000 prior breast cancer cases, the AI achieved 81.6% accuracy in detecting cancer and 72.9% accuracy in ruling it out during the trials

• Researchers are now developing Mia to predict a patient's risk of severe treatment side effects years in advance, aiming to personalize care plans accordingly

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