A Tweet a Day Keeps the AI at Bay

PLUS: Code, Copilot, and Cash

The Hitchhiker’s Guide to AI

Marvelous Monday, my AI trailblazers! As we boot up a new week of discovery, let's not forget that every great AI algorithm was once a simple idea in someone's mind. So grab your digital pickaxe and join me as we mine for knowledge in the vast landscape of AI. Whether you're dealing with a stubborn piece of code or just grappling with the Monday blues, remember, every problem is just a solution waiting to be found.

In today’s Tracker:

  • 🧪 Research highlights: GitHub's AI Tool's Trillion-Dollar Promise

  • 🚨 Industry news: Twitter's New User Restrictions

  • ⚖️ Policy and regulation: Japan’s Gentle Hand on AI

  • 🌐 AI and society: TikTok Creators Grapple with Algorithmic Burnout

  • 🧰 Snippets

🤖 GitHub's AI Tool's Trillion-Dollar Promise

The widespread adoption of GitHub's Copilot, an AI-powered software development tool, could increase the global GDP by $1.5 trillion by 2030.

The tool, which OpenAI Codex powers, has been lauded for increasing developer productivity, with 30% of its suggestions approved in a study.

The research was conducted under the direction of GitHub CEO Thomas Dohmke, Harvard Business School Professor Marco Iansiti, and Keystone.AI's chief executive officer, Greg Richards, who noted that the tool could expedite code creation, in some cases eradicating the need for a keyboard.

Despite concerns about AI-induced employment losses, the authors argued that the coaction between AI and software development would increase software developers and accelerate human progress. In addition to emphasizing the opportunities presented by AI-powered computing tools, they predicted that by 2026 there will be over 6 million job openings in science and engineering.

The authors also emphasized the need for global efforts to expand education and employment opportunities to meet the accelerating demand for software, concluding that the relationship between humans and artificial intelligence could influence the future of software development for generations to come.

🐦Twitter's New User Restrictions

According to a recent announcement by Elon Musk, Twitter has limited the number of tweets that users can read daily to prevent data harvesting and system manipulation by artificial intelligence (AI) companies.

Verified accounts can now only read 10,000 tweets per day, while non-verified accounts are limited to 1,000. Additionally, new unverified accounts are restricted to 500 messages per day.

Musk explained that the move was necessary to address the excessive levels of data mining by hundreds of organizations developing AI models, which negatively impacted the user experience and caused traffic issues on the site.

This measure follows a prior decision that made viewing messages without a Twitter account impossible. However, Musk did not specify the duration of these restrictions.

🇯🇵 Japan’s Gentle Hand on AI

An anonymous government official has stated that Japan is considering introducing less strict AI governance laws than the European Union.

This is because Japan views AI technology as a means to revitalize economic growth and reclaim its position as a leader in sophisticated semiconductors. In particular, the EU's efforts to have corporations reveal copyrighted material used in training AI systems that generate content could be hampered by this more lenient approach.

When asked about the EU's regulations, Prof. Yutaka Matsuo, chair of Japan's AI strategy council, said they were "a little too strict," highlighting the challenge of identifying which deep learning resources are protected by intellectual property laws.

Adopting AI might help Japan deal with its dwindling population and resulting labor shortage and boost demand for the cutting-edge chips that a government-backed startup hopes to produce to regain its former technological preeminence.

Despite these goals, experts point out that Japan's processing capacity, which is crucial for AI training, is far behind the United States.

🕺🏼Dancing on Thin Ice as TikTok Creators Grapple with Algorithmic Burnout

Content makers on TikTok have been experiencing burnout due to the platform's erratic algorithm. While the TikTok algorithm's goal of maximizing user engagement has helped make the network hugely popular, it has also put a lot of pressure on the people who make videos for the platform.

Due to the algorithm's random nature, the popularity of a given video may seem completely subjective, creating an atmosphere of intense pressure for content producers. They become exhausted and burned out by their efforts to "game the system" or keep up with the continuously shifting fashions. I wonder if content creation on sites like TikTok can be sustained in the long run.

Snippets

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A person is wise if he listens to millions of advice and doesn't implement any of it. ― Michael Bassey Johnson

  • 🫨 Varaverse- An AI-powered Augmented Reality (AR) Metaverse designed for brands and e-commerce.

  • 🎞 Fixblurry.photos - AI-powered tool for restoring old and blurry face photos, enhancing image quality with efficient algorithms.

  • 📧 Bestregards- AI-powered Chrome extension for generating personalized and professional email and message responses.

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