AI Stocks to Watch in July 2024

A recent video from Daily Stock Tech highlights three AI stocks that could provide strong returns to investors. The first stock mentioned is Air Test Systems, which has a market cap of less than $400 million and is expected to make revenue of around $67.8 million. The company recently received a commitment from an AI accelerator company for wafer-level burn-in evaluation, indicating potential growth opportunities in the AI market.

The video also discusses how Air Test Systems provides solutions for silicon photonics, which is a leading indicator for the new Optical IO market. Additionally, the company’s equipment could be used for testing and burning HBM3 and HBM memory, another area of growth in the AI market. The video’s author is bullish on the company and has been buying shares around $15-16.

Meta Unveils New AI Models and Research

Meta has released five major new AI models and research, including multi-modal systems that can process both text and images, next-generation language models, music generation, AI speech detection, and efforts to improve diversity in AI systems. These releases come from Meta’s Fundamental AI Research laboratory.

The new AI models and research from Meta demonstrate the company’s continued focus on advancing AI technology and its applications. The multi-modal systems, in particular, have significant potential for improving human-computer interaction and generating more sophisticated AI outputs.

Biggest AI Developments of 2024 So Far

A recent article from IPWatchdog discusses the biggest AI developments of 2024 so far, including generative AI and copyright challenges, licensing innovations, and AI patent developments. The article notes that the law is still evolving to address the new challenges AI presents, particularly in the area of copyright infringement.

The article highlights ongoing legal cases, such as the New York Times lawsuit against OpenAI for copyright infringement, and a lawsuit by visual artists against Google for unauthorized use of copyrighted images in training its AI-powered image generator. These cases will shape the discourse surrounding generative AI and IP in the coming years.

AI-Powered Search Engine Perplexity Challenges Google

A recent article from The New York Times explores the rise of Perplexity, an AI-powered search engine that has gained popularity among industry insiders and investors. Perplexity’s founders come from OpenAI and Meta, and the search engine has been praised for its ability to provide more accurate and relevant search results compared to Google.

The article notes that Perplexity is not without its flaws but has the potential to shake Google’s dominance in the search arena. The author has used Perplexity as their primary search engine and finds it to be a viable alternative. Perplexity’s AI-driven approach could lead to significant changes in the way we search for information online.

AI in the News Industry

A report from the Tow Center for Digital Journalism discusses the growing use of AI in the news industry, particularly in the context of large language models and generative AI. The report explores the motivations behind news organizations’ use of AI and the potential implications for the public arena.

The report notes that AI has the potential to increase efficiency and facilitate the production of high-quality journalism but also raises concerns about copyright issues, liability, and the potential for AI-generated content to provide misleading information. The report emphasizes the need for a nuanced understanding of AI’s impact on the news industry and its broader implications for society.