Google’s Gboard is set to receive several new features, including the “SmartEdit” tool, which utilizes generative AI to assist users in editing text via voice commands. Code discovered by tipster AssembleDebug suggests that this feature will process edited text temporarily through Google. Additionally, a rumored AI feature called “Magic Cue” may enhance Gboard’s capabilities by allowing it to retrieve information, such as flight details, from connected apps without user intervention. Users may also find it easier to save and access custom emoji combinations in a favorites list. These updates aim to streamline user experience, particularly by minimizing app-switching through Gboard’s clipboard functionality. While these features are still in development, they indicate Google’s ongoing commitment to integrating AI into user-friendly tools. Expect significant updates to Gboard as these features evolve in tandem with advancements in Android.
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Unlock Enhanced Gboard Features with Pixel AI for Instant Edits and More
How Modular is Paving the Way for Accessible AI Computing (Democratizing AI Compute, Part 11)
Modular’s mission is to democratize AI compute, addressing the fragmentation within the AI landscape by uniting developers, low-level software, hardware makers, and competing vendor interests. The vision centers on creating a coherent ecosystem to facilitate seamless development across diverse hardware and software. At its core, Modular utilizes a novel architecture comprising three layers: Mojo, a programming language designed for GenAI that merges speed with Python-like syntax, MAX, a production-grade framework for AI model serving, and Mammoth, a platform for managing GPU clusters efficiently. These components work together to optimize performance, lower barriers to entry, and foster greater accessibility for developers. The overarching goal is to produce a unified, scalable, and high-performance AI environment that mitigates complexity across various systems. Using open-source principles, Modular aims to cultivate an inclusive community, ultimately driving innovation across the AI compute landscape as it seeks collaboration with hardware vendors for broader support.
ICE Pursues AI-Enhanced Comprehensive Surveillance Solution – MeriTalk
The U.S. Immigration and Customs Enforcement (ICE) is looking to develop an AI-driven investigative analytics platform aimed at disrupting transnational criminal networks and monitoring up to a million individuals. In a recent request for information (RFI), ICE outlined its need for a data analytics system capable of processing large volumes of information to identify criminal patterns. The platform should facilitate both automated and human analysis, allow bulk data queries, and provide continuous monitoring alerts. It is expected to pull from various datasets, including social media, court records, and international travel data, aiding ICE agents in tasks like screening, lead development, and criminal analysis. The system will also need linguistic capabilities for translating languages such as Mandarin. This initiative aligns with prior efforts by the Trump administration to enhance monitoring of foreign nationals, including scrutiny of visa holders’ social media. The project is planned under a multi-year purchase agreement.
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Kenton Varda Discusses the Future of Safe AI Coding and the Impact of Cloudflare Workers
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Top AI-Driven Investment Tools You Need to Know (June 2025) – Finance Monthly
AI is revolutionizing investing, providing individual investors with sophisticated tools previously available only to hedge funds. These AI-driven platforms enhance decision-making through real-time data analysis, automated portfolio rebalancing, and various algorithms tailored for different investment styles. The content highlights several tools:
- Ziggma: Free to $19.99/month, offers portfolio scoring and risk modeling, making it ideal for risk-conscious investors.
- TrendSpider: From $39/month, caters to technical traders with pattern recognition and backtesting features.
- Composer: Free to $32/month, enables users to build automated portfolios using a visual interface.
- Kavout: Free to $49/month, focuses on quantitative investors with its AI-driven stock ranking.
- Magnifi: $14/month, a research tool that helps users explore investment ideas through natural language queries.
- Betterment & Wealthfront: Both charge 0.25% AUM for robo-advisory services aimed at passive investors.
While AI tools streamline investing, they should complement human judgment, as they don’t guarantee returns.
Jürgen Schmidhuber: The Unsung Pioneer of Generative AI Lacking a Turing Award
At the 2024 World Artificial Intelligence Conference in Shanghai, Jazzyear interviewed Professor Jürgen Schmidhuber, a key figure in AI research. Schmidhuber and Sepp Hochreiter introduced Long Short-Term Memory (LSTM) networks in 1997, a foundational technology for many AI applications, notably in natural language processing. Despite his groundbreaking contributions—including principles of Generative AI—Schmidhuber has not received a Turing Award, sparking discussions about recognition in the field. He emphasizes the collaborative nature of AI development, arguing that multiple contributors should be credited for advancements that often overshadow overlooked pioneers. Throughout the conversation, he addresses the historical context of AI, critiques contemporary practices of citation, and reflects positively on the future of AI, envisioning self-improving machine civilizations. Commitment to scientific integrity and advocating for unrecognized contributors are central themes in his narrative, highlighting the importance of acknowledging the rich history of AI beyond mainstream narratives.
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Could Fartcoin Soar to $2.50 Amid Pepe’s 385% Surge? Gemini AI’s Meme Coin Price Predictions Unveiled
Meme coins are recovering, with Google’s Gemini AI predicting rebounds for Fartcoin, Pepe, and Dogecoin. Fartcoin, currently at $1.04, has a significant market cap and could rise to $2.50 in Q3 if momentum builds. Daily trading volume remains strong, supported by a recent Coinbase listing. Pepe, trading at $0.0000103, might see a jump to $0.000035 with enough bullish momentum, while Dogecoin is stable around $0.171, with a potential breakout toward $0.30 on speculated ETF news and Elon Musk’s involvement. Additionally, a presale project called Snorter has garnered attention, having raised $1.1 million and potentially reaching $1.00 post-launch, driven by a Telegram trading bot. Gemini suggests that Snorter could deliver significant gains if it performs well in the market. However, investors are reminded of the inherent volatility in cryptocurrency.
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US Patent Office Proposes AI-Driven Solution for Scanning Prior Art • The Register
The US Patent and Trademark Office (USPTO) is considering integrating AI to expedite patent processing. They aim to utilize AI tools to analyze existing patents and non-patent literature, determining potential conflicts with new applications. This initiative is meant to enhance efficiency and consistency in patent examinations. However, the USPTO has indicated that participating vendors should expect to be compensated in “exposure” rather than monetary payment, aiming to attract commercial AI providers willing to contribute without financial compensation. This raises concerns, especially given that AI’s past performance in legal contexts has occasionally led to errors. The agency seeks proposals by June 24 and emphasizes the necessity for vendors to provide the required infrastructure securely within the USPTO’s cloud environment. While they aim to implement these AI capabilities swiftly, specific timelines remain unclear.
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Gemini Unveils a New Voice Skill on Android That’s Truly Useful
Gemini, Google’s app, offers enhanced accessibility features to help users complete tasks more efficiently, utilizing gestures and a button to access its overlay. Regular updates introduce new functionalities, significantly affecting user experience. A recent addition for the Gemini Android app is a voice-activated Song Search feature. Users can hum or sing a tune and ask, “What song is this?” to retrieve suggestions based on Google Search, with match percentages indicating the best possibilities. This feature, previously available in the Google app, is now embedded in Gemini, although it requires typing prompts to activate each time. As of now, the Song Search is exclusive to Android, with no confirmation on its availability for iOS users yet. As Google continues to enhance Gemini, users can expect further improvements in the future.
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How Malicious AI Swarms Pose a Threat to Democracy
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