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- Predicting the Future: A Historical Perspective
Predicting the Future: A Historical Perspective
New free rival to OpenAI Sora unveiled
Welcome to learning edition of the Data Pragmatist, your dose of all things data science and AI.
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🧠 Predicting the Future: A Historical Perspective
Since ancient times, humans have sought to predict the future, whether through astrology, palmistry, or divine insight. From Pharaoh’s astrologers to medieval palm readers, the quest for foresight has persisted through the ages.
Early Technological Visions
Visionaries like H.G. Wells and futurists of the early 20th century imagined technological advancements far beyond their time. Wells foresaw wireless communication, atomic energy, and even laser technology, laying the groundwork for future innovations.
Moore's Law and Technological Progress
In 1965, Gordon Moore introduced Moore’s Law, predicting the exponential growth of transistor density in integrated circuits. This observation revolutionized semiconductor design, driving the evolution of modern computing.
Ray Kurzweil's Futuristic Projections
Ray Kurzweil, a prominent inventor and futurist, envisioned a future where computers not only process data but also exhibit emotions by 2030. He also speculated on the integration of nano-chips into human brains to enhance cognitive capabilities.
Dreams of Anti-Gravity and Time Travel
Throughout history, dreams of anti-gravity cars and time machines have captivated imaginations. While such technologies remain elusive, they continue to inspire scientific inquiry and innovation.
The Rise of Artificial Intelligence
Today, artificial intelligence (AI) stands at the forefront of technological advancement. AI systems analyze past data to predict future outcomes, but their true potential lies in their ability to adapt to present circumstances and make informed decisions.
Challenges and Realities of the Future
Despite technological progress, societal challenges persist. Hunger, homelessness, and inequality endure, reflecting deeper societal issues that technology alone cannot resolve. However, AI and other advancements hold promise in alleviating some of these burdens and advancing human capability.
Predicting the future remains an elusive endeavor. While technological advancements offer glimpses of what lies ahead, the complexities of human society ensure that uncertainty persists. Yet, through innovation and ingenuity, humanity continues to forge ahead, guided by the hope of a better tomorrow.
🍎 Apple to ‘pay’ OpenAI through distribution, not cash LINK
Apple and OpenAI announced a partnership at WWDC, but according to Bloomberg, neither side is paying the other for the integration of ChatGPT into Apple’s devices.
The agreement between Apple and OpenAI is non-exclusive, and Apple is also negotiating with Anthropic and Google to integrate their chatbots, with a deal for Google's Gemini expected later this year.
Apple plans to generate revenue from these partnerships through revenue-sharing agreements, taking a cut from AI providers that monetize their chatbot services, such as ChatGPT Plus’ $20-per-month subscription plan.
📹 New free rival to OpenAI Sora unveiled LINK
Dream Machine is a new text-to-video tool developed by Luma AI, offering a free tier you can use immediately with a Google account, though there might be waiting times due to high demand.
The tool creates five-second video clips at 1360x752 resolution based on user prompts, and while it has some processing delays, the outputs are impressive and close to user expectations.
Dream Machine offers various subscription plans, with the free option limited to 30 generations a month, and higher tiers providing more generations at different price points, up to 2,000 generations for $499.99 monthly.
Top AI Stocks That Also Pay Dividends
IBM (NYSE: IBM)
Watson platform's NLP skills place it ahead in AI innovation.
Recent partnerships with AWS and Palo Alto Networks enhance AI capabilities.
29 consecutive years of dividend increases, offering over 3.9% yield.
Equinix Inc. (NASDAQ: EQIX)
Positioned to benefit from rising demand for data centers in the AI ecosystem.
UBS recommendation due to exposure to the AI value chain.
Offers a 2.2% yield with consistent dividend growth.
Digital Realty Trust Inc. (NYSE: DLR)
Operates 300+ data centers globally, serving tech giants like Nvidia and Oracle.
Added to UBS's list of stocks benefiting from AI infrastructure spending.
Strong FFO performance and maintained guidance, with a dividend yield of 3.26%.
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