“China is Netflix and the U.S. is Blockbuster.” Insights on A.I. technology and the global future from the Director of the Bradley Center for Natural and Artificial Intelligence, Baylor University Professor Robert Marks.
The history and future of AI in 8 minutes | Oxford professor Michael Wooldridge
In his book “A Brief History of AI,” Michael Wooldridge, a professor of computer science at the University of Oxford and an AI researcher, explains that AI is not about creating life, but rather about creating machines that can perform tasks requiring intelligence.
Wooldridge discusses the two approaches to AI: symbolic AI and machine learning. Symbolic AI involves coding human knowledge into machines, while machine learning allows machines to learn from examples to perform specific tasks. Progress in AI stalled in the 1970s due to a lack of data and computational power, but recent advancements in technology have led to significant progress. AI can perform narrow tasks better than humans, but the grand dream of AI is achieving artificial general intelligence (AGI), which means creating machines with the same intellectual capabilities as humans. One challenge for AI is giving machines social skills, such as cooperation, coordination, and negotiation.
The path to conscious machines is slow and complex, and the mystery of human consciousness and self-awareness remains unsolved. The limits of computing are only bounded by imagination.
Larry Fink on Tokenization is the Future of the Next Generation
“I believe the next generation for markets, the next generation for securities, will be tokenization of securities,” BlackRock CEO Larry Fink said during the New York Times DealBook event.
We at Fusang have been busy exploring regulated solutions and structures which will allow us to unveil our own unique turnkey tokenisation solution for non-digitally native assets. Along with a custody and settlement system, the aim is to allow for fuss free tokenisation, providing issuers and investors a regulated fuss free marketplace for tokenised assets.
What Is Tokenization (And Why You Need It)
What Is Tokenization? With regard to data security, tokenization refers to the process of securing sensitive data by substituting valuable elements with non valuable equivalents known as tokens. Tokens serve merely as a reference to the original item or currency and provide value only within an authorized, isolated ecosystem that validates its purpose.
The constant threat of cyber attacks and fraud has made both personal and financial data extremely susceptible to exploitation. Thankfully, tokenization converts sensitive data to digital tokens that have little or no value outside a specific digital ecosystem.
Once all elements have been tokenized, there’s no distinguishable relationship between the original information and its tokenized results which provides excellent security to data that’s stored or “at rest.”
Integrating tokenization into credit card processing provides substantial protection to consumers and businesses alike, by yielding only unusable tokens to hackers. This forces fraudsters to go elsewhere to seek valuable digital assets like credit card numbers and social security numbers.
Blockchain.com president on the state of crypto regulation
Blockchain.com’s Nic Cary discusses the market outlook for cryptocurrencies in 2023 and actions taken by U.S. regulators on the space.
Can GPT 4 Prompt Itself? MemoryGPT, AutoGPT, Jarvis, Claude-Next [10x GPT 4!] and more…
Can GPT 4 Prompt itself? Give it a mission and it will come up with the prompts. This video showcases the rise of autonomous AI, including 5 major developments in the last 48 hours.
Starting with the OG Auto-GPT, we see how it quickly gain text-to-speech, coding and more. Karpathy weighs in and then we see how you can now create an app with just your voice, with a Jarvis demo and another route via Imagica.AI.
I then showcase MemoryGPT, a brand new model that can permanently store previous conversations and remembers topics the next time you ask.
I also cover the concerningly rise of models such as ChaosGPT that show how people will create malicious goal-seeking models just for fun.
The video shows how you can now create a shareable bot on poe.com, with any personality you like (images were from Midjourney v5) and what Anthropic are working on with Claude Next [plus Nvidia million x quote].
You’ll see how Microsoft Jarvis, using HuggingGPT, is hit and miss, and how Sebastien Bubeck shows we are not even seeing the raw potential of GPT 4. I end with a disagreement between Yudkowsky and Altman, via Baby AGI, on whether we can use AGI to align AGI.
The AI Assistant Battle (2023)
ing vs Google. Bard vs ChatGPT. A winner will be crowned… For now.
Nvidia’s HUGE AI Breakthrough (Bigger Than ChatGPT)
The entire world is talking about AI tools like Midjourney and OpenAI’s ChatGPT because they’re disrupting every industry in a BIG way. But there’s another AI breakthrough happening right now that’s even bigger. A couple weeks ago NVIDIA held their latest GTC conference, where they talked about breakthroughs in AI by OpenAI and the hardware they run on – Microsoft Azure and Nvidia’s GPUs built by TSMC using machines by ASML. This video explains the breakthrough that just happened in computational lithography, its impacts on semiconductors.
Do We Get the $100 Trillion AI Windfall? Sam Altman’s Plans, Jobs & the Falling Cost of Intelligence
Sam Altman predicted this week that OpenAI could capture up to $100 trillion of the world’s wealth. But what are his plans for OpenAI to distribute that wealth? I analyse all three plans, cover his financial stake, his case for UBI, a science org and the American Equity Fund.
From papers and interviews released in recent days, I go over his predictions for massive inequality, which jobs will be impacted most, what tasks OpenAI thinks will be automated, recent surveys of business leaders and their plans to use ChatGPT for job replacement, the Goldman Sachs job analysis and which jobs Altman thinks will be hit first (customer service).
I also cover two recent productivity experiments to test the impact of GPT models and the YouGov survey on stopping it all. President Biden weighs in, Levi’s gets backlash, Wired thinks human work has a chance and Sam reveals his back-up plan to use AGI to solve AGI’s problems.
The potential dangers as artificial intelligence grows more sophisticated and popular
Over the past few months, artificial intelligence has managed to create award-winning art, pass the bar exam and even diagnose illnesses better than some doctors. But as AI grows more sophisticated and popular, the voices warning against the potential dangers are growing louder. Geoff Bennett discussed the concerns with Seth Dorbin of the Responsible AI Institute.