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Google Bard for teens with safety features launched
Ts Yotov
November 16, 2023
📰 Quick News 📰
🎵 Adobe is introducing a new AI tool that can take a noisy audio clip and break it down into its individual components. Project Sound Lift, allows users to remove or isolate sounds such as speech, music, or applause, making it simpler to edit recordings by adjusting the volume of background noise or concentrating on the main sound element.
🥁 Google's DeepMind and YouTube release Lyria, an AI designed to assist creators in making music, offering tools like Dream Track for AI-generated tunes in YouTube Shorts, utilizing artist voices for 30-second creations.
🧑🏫 Teens now have access to Google Bard, which includes safety mechanisms to block inappropriate content. Google aims to help teens use AI responsibly and enhance their learning, offering features that explain complex concepts and visualize data through charts. Bard also encourages critical thinking with its double-check feature.
⚙️ SK Group's Sapeon has released the X330 AI chip, outperforming rivals in efficiency and speed for data centers. Scheduled for mass production within the first half of the forthcoming year, the chip is crafted by the global leader in chipmaking, TSMC, consolidating South Korea's position in advanced technology spheres.
🎨 Unity launched Muse, new AI tools designed to ethically generate assets for game developers, beginning with textures and sprites. Aimed at smaller studios, Muse simplifies the creative process and will expand to cover animation and coding, avoiding IP infringement by using Unity-licensed imagery for training the AI.
🖼️ Google Photos launched AI tools to organize images, offering a 'stacking' option for similar pictures, categorizing items like receipts in albums, and adding events to calendars from images.
📚 Nerd section 📚
🛡️ Best Practices for Securing LLM-Enabled Applications: The article discusses the risks associated with large language models (LLMs) in text processing applications, including prompt injection, information leaks, and LLM reliability issues. It provides best practices for designing or evaluating secure LLM-enabled applications.
🏈 Predicting Football Touchdowns with Machine Learning: The author created a ML model that analyzes football data to predict which quarterbacks will score the most touchdowns. The model found that factors such as yards gained, completed passes, interceptions, and sacks correlate with more touchdowns. The model accurately predicted 6/10 top touchdown scorers for the 2022 season.
🌐 Web section 🌐
On days when there's a lot of news, we aim to keep our newsletter short and sweet.
So here (but not in the email version) we're adding AI-related stories that may be slightly less attention-grabbing, but still could move the needle in specific sectors and fields.
🧒 Common Sense Media has flagged various mainstream AI tools, including Snapchat's My AI and DALL-E, as potentially harmful for kids, due to built-in biases, privacy violations, and the spread of misinformation.
🎁 Google launched AI-driven shopping tools that suggest gift ideas and subcategories to help users find unique products. Additionally, an upcoming feature will generate photorealistic images of fashion items from text descriptions to aid in online shopping.
💲Menlo Ventures has gathered $1.35 billion to invest in AI startups, betting on tech that could redefine industries and enhance how we work and live.
👷 AI threatens millions of South Korean jobs, central bank says: A study by the Bank of Korea reveals that nearly four million jobs in South Korea are at risk of being replaced by AI technology over the next two decades
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Until tomorrow,
- Ts (Bits and Neurons)