🦄 The Unicorn Change: Startups & AI

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👋 Friends, Rallie here. The newsletter floating in with the latest in crypto, finance, and tech.

On the menu:

• 🦄 The Unicorn Change: Startups & AI

• 🗞️ Headlines That Hit

• 📈 Refresh: Derivatives

• ✌️ Trivia Thursday

• 💯 Top Tweets

The Rallie Recap

💡 With corporations investing billions in the tech space, how are startups gaining relevance and innovating with artificial intelligence?

• What’s happening? 🏢 Many big tech companies are starting to collaborate with lawmakers for responsible innovation, for example the U.S. AI Insight Forums invited tech heavy hitters to discuss the sector before adding guardrails to AI. 🚨

• 🇬🇧 The UK is also feeling the pressure to keep up with the EU and the US to become trailblazers in AI regulation. Especially as the UK government prepares to host a global AI safety summit with a stacked attendee list of international governments, leading AI firms and researchers. 🤝

• The global precedents for AI are starting to form. But when only the top dogs, with billions at their disposal, are at AI’s legislative table, will tech startups be able to shake up the sector? 😳

• 🔋 What is the state of data center management? One of the main concerns with AI is the amount of power its data centers require to run, leading to a worsening environmental concern. 🌱

• Most data center resources are grossly over-provisioned (which is the practice of allocating more computing resources than necessary to an application or system), with average server utilization running at the astonishingly low rate of 12% to 18%.

• But, this could be an opening for innovation. 🚀 Not only is AI’s power capacity being under-utilized, but the drive for efficient data management, and performance and storage solutions is also in demand…

• 🏬 However, improving how AI runs is not the only opportunity for startups, unique partnerships with big tech are also how some organizations gaining relevance.

• For example, 🏔️ an AI geospatial data analytics startup, Synthetaic, will get access to ~1M hours of Microsoft Azure cloud compute resources with their new partnership.

• With this new team-up, national security, disaster response, and environmental and sustainability operations are expected to improve.

• Other startups compete with the big tech names. 📑 AI21 Labs, a startup with a range of text-generating resources, has just been valued at $1.4B USD, and competes with OpenAI (ChatGPT’s parent company) over text-generating models — despite the $10B gap in resources.

• The potential for unicorns (startups with a valuation of over $1B USD) to appear and amaze the tech industry seems limitless. ✈️

• Still, AI startups have a lot of challenges to overcome before establishing themselves, including a new roadblock, action against data scraping, how many AI models are trained. 🎓

• As lawsuits, private action and regulations against data scraping and its ethical concerns are building up, 👩🏻‍⚖️ AI models will have to rely on other sources of information for learning.

• Furthermore, how to monetize AI applications with expensive operation costs and fluctuating user interest is critical to a company’s survival. 💰

• Demand and interest are growing, but will AI companies be able to keep up?

Headlines That Hit

• 🏛️ Bitcoin’s win against the SEC. The U.S. government organization is forced to review Grayscale’s application to list a Bitcoin ETF after a federal court ruling.

• ☢️ Nuclear water fight! Japan might take action against China through the WTO over a seafood import ban driven by Japan’s nuclear wastewater release.

• 🏦 Bank absorption. Disgraced Credit Suisse will have its domestic bank fully taken over by UBS, which seeks $10B in cost cuts.

• 🧠 Fighting disinformation. Google is working on a digital watermark to spot images made by AI to help viewers identify computer-made images.

• 🪖 Military reformation? Canada is beginning to repeal military “duty to report” regulations that force the reporting of sexual misconduct, even if the survivors and victims may not want to.

Rallie Refresh: Derivatives

🧮 Not the derivatives you learned in math. Today, we break down an advanced form of investing.

📝 What is a derivative?

• A derivative is a financial contract between two or more parties that’s price is dependent upon or derived from one or more underlying assets.

• What are some common underlying assets? Examples include stocks, bonds, commodities, currencies, interest rates and market indexes. 💹

• In essence, a derivative is like a bet or contract on the future price or performance of an underlying asset.

👩‍💻 What are they used for?

• Generally, they are used to access specific markets because of their ability to trade any number of assets. 🔑

• 🏋️ The contracts can also be used to mitigate or assume risk with the expectation of proportional reward.

• Originally, 🌐 they were used by international traders to account for the differing values of national currencies by ensuring balanced exchange rates for international goods.

From futures to collateralized debt obligations, this field of use is broad. 🗺 Remember to always DYOR before you dive into advanced investing techniques.

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✌️Trivia Thursday✌️

🕯️ The answer for Tuesday’s newsletter (Where can you find a candlestick graph?) is Looking at stock analytics! Find out today’s answer on next time!

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DISCLAIMER: This is not financial or legal advice. This newsletter is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions.