Why AI Matters Now: A Look at What’s Coming and Here with Mike Pell
Why AI Matters Now: A Look at What’s Coming and Here with Mike Pell
AI Companies Are Obsessed with AGI. No One Can Agree What Exactly It Is
“Why AI Matters Now”: A Look at What’s Coming and Here with Mike Pell
AI Companies Are Obsessed with AGI. No One Can Agree What Exactly It Is
North Korea’s generative AI
In case you don’t know, my name is Jeff Bishop.
I’ve been married for over 25 years, have 3 kids (two boys now in college 😬), and built one of the largest stock trading education platforms in the world.
Over the last decade, my company has helped over 200,000 aspiring traders (just like you!) to become more confident and knowledgeable when it comes to stock and options trading.
Oh yeah, I just happen to be a pretty good trader, too, if I do say so myself!
“Why AI Matters Now”: A Look at What’s Coming and Here with Mike Pell
SBalley at the event to bring you the most important takeaways:
AI is overplayed in the sci-fi sense of the threat of it. And very underappreciated for what it can do! The idea that AI will take over the would is largely science fiction. AI is mathematics, statistics and automation. Rules and statistics keep the results very impressive. It’s the statistics part that is responsible for giving slightly different yet correct answers every time. Automation is a more relevant name for Artificial Intelligence. Pattern recognition underlies many of todays AI systems. AI systems don’t have Artificial Generalized Intelligence(AGI) as humans have generalized intelligence.
Natural Language Processing took of in the 1950s and led to the AI of today. John McMarty coined the term Artificial Intelligence. AI expert systems were pioneered at Stanford University in the 1980s. Expert systems were used by businesses for economic forecasting and by the oil industry for earth core analysis.
GPT-4 uses ten times more energy as an internet search, by some estimates. However when you search at best you are seeing only twenty percent of all relevant results on your topic. Recently people working on AI have exceeded the expectations of the folks that predicted the possibilities.
So why all the governments trying to regulate. Because they missed regulating Microsoft, Google, Amazon. And by the time they got to it it was impossible to untangle. So they are jumping ahead to make sure there aren’t near monopolists in such an important technology. There isn’t one University with the resources to do in AI what the big tech companies did.
by Mike Pell leading Microsoft Garage in New York
Get business/tech news just with graphics
We explain the latest business, finance, and tech news with visuals and data. 📊
All in one free newsletter that takes < 5 minutes to read. 🗞
Save time and become more informed today.👇
Click here to sign up for free.
AI Companies Are Obsessed with AGI(Artificial Generalized Intelligence). No One Can Agree What Exactly It Is
More tech companies are trying to develop artificial general intelligence, the holy grail of AI. There’s just one problem: no one can quite agree on what AGI is.
After spending much of last year trying to gain ground in the AI arms race, Mark Zuckerberg said this month that Meta’s new goal is to build AGI, or artificial intelligence that can perform as well or better than humans on most tasks.
OpenAI has made AGI its central mission, with Chief Executive Officer Sam Altman saying it “will be the most powerful technology humanity has yet invented.” Anthropic has talked about working toward a kind of AI that is as capable as human beings, even though the company’s founder has said he doesn’t like the term AGI. And Google’s DeepMind has been working on it since the company put building “artificial general intelligence” on the front page of its business plan in 2010, according to Shane Legg, the company’s co-founder and chief AGI scientist.
While the general concept of AGI is clear enough — AI systems that are capable of doing a wide range of complex tasks with little human involvement — I’ve found the specifics of what it is, and how we’ll know when (or if) we reach it, are still a subject of intense debate, even among experts. The stakes are high for the companies building the technology to know when they’ve achieved AGI. It’s considered such a game-changer that startups like OpenAI are planning for it to drastically alter their business. In its charter, OpenAI said its “IP licenses and other commercial terms” with its major financial backer, Microsoft, will no longer apply once AGI is reached.
Among AGI believers, there’s also a wide range of predictions of when we’ll reach AGI. Altman said we’ll see it in the next four or five years. Legg has given a similar range, saying there’s a 50% chance it happens by 2028. SoftBank CEO Masayoshi Son said AGI will arrive within 10 years. And Meta’s chief AI scientist, Yann Le Cun, has said it could take decades for AI to achieve human-level intelligence….
Get business/tech news just with graphics
We explain the latest business, finance, and tech news with visuals and data. 📊
All in one free newsletter that takes < 5 minutes to read. 🗞
Save time and become more informed today.👇
Click here to sign up for free.
North Korea’s generative AI
North Korea has been actively developing artificial intelligence (AI) and machine learning (ML) technologies, despite international sanctions imposed over its nuclear weapons program. The country's AI development efforts span across government, academia, and industry sectors. North Korea established the Artificial Intelligence Research Institute in 2013, and in recent years, several companies have promoted commercial products featuring AI.
The country's AI/ML development signifies a strategic investment to bolster its economy and operational capabilities. North Korean researchers have applied AI/ML for sensitive applications, such as wargaming and surveillance. During the COVID-19 pandemic, North Korea used AI to create a model for evaluating proper mask usage. North Korean scientists have also published research into using AI for maintaining the safety of nuclear reactors.
Seoul's spy agency detected signs that North Korean hackers had used generative AI to search for targets and seek technologies needed for hacking, although they have yet to use it in actual cyberattacks. Given that AI/ML is a software-centric technology that can be transferred via intangible means, it is important to monitor such activities.
Some of North Korea's AI researchers have collaborated with foreign scholars, including in China, raising concerns for the sanctions regime. The development of AI in North Korea presents many challenges, including the potential misuse of the technology for weaponization…..