Lifeboat Foundation

Link to Presentation Slides: https://www.dropbox.com/s/nz4hm3bnel7wqxq/Ep2.Artificial.Gen…e.pdf?dl=0

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
Artificial General Intelligence is creating a computer that can understand or learn any intellectual task that a human being can and furthermore surpass brain power equivalent to that of all human brains combined.

Continue reading “Ep1: How far are we from Artificial General Intelligence (AGI)?” »

As mentioned, ChatGPT is available in free and paid-for tiers. You might have to sit in a queue for the free version for a while, but anyone can play around with its capabilities.

Google Bard is currently only available to limited beta testers and is not available to the wider public.

ChatGPT and Google Bard are very similar natural language AI chatbots, but they have some differences, and are designed to be used in slightly different ways — at least for now. ChatGPT has been used for answering direct questions with direct answers, mostly correctly, but it’s caused a lot of consternation among white collar workers, like writers, SEO advisors, and copy editors, since it has also demonstrated an impressive ability to write creatively — even if it has faced a few problems with accuracy and plagiarism.

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Artificial intelligence (AI) has already made its way into our personal and professional lives. Although the term is frequently used to describe a wide range of advanced computer processes, AI is best understood as a computer system or technological process that is capable of simulating human intelligence or learning to perform tasks and calculations and engage in decision-making.

Until recently, the traditional understanding of AI described machine learning (ML) technologies that recognized patterns and/or predicted behavior or preferences (also known as analytical AI).

The revolution will be generated by artificial intelligence. Perhaps.

Michal Kosinski, computational psychologist at Stanford University, has been testing several iterations of the ChatGPT AI chatbot developed by Open AI on its ability to pass the famous Theory of Mind Test. In his paper posted on the arXiv preprint server, Kosinski reports that testing the latest version of ChatGPT found that it passed at the level of the average 9-year-old child.

ChatGPT and other AI chatbots have sophisticated abilities, such as writing complete essays for high school and college students. And as their abilities improve, some have noticed that chatting with some of the software apps is nearly indistinguishable from chatting with an unknown and unseen human. Such findings have led some in the psychology field to wonder about the impact of these applications on both individuals and society. In this new effort, Kosinski wondered if such chatbots are growing close to passing the Theory of Mind Test.

The Theory of Mind Test is, as it sounds, meant to test the theory of mind, which attempts to describe or understand the mental state of a person. Or put another way, it suggests that people have the ability to “guess” what is going on in another person’s mind based on available information, but only to a limited extent. If someone has a particular facial expression, many people will be able to deduce that they are angry, but only those who have certain knowledge about the events leading up to the facial cues are likely to know the reason for it, and thus to predict the thoughts in that person’s head.

This is NOT for ChatGPT, but instead its the AI tech used in beating GO, Chess, DOTA, etc. In other words, not just generating the next best word based on reading billions of sentences, but planning out actions to beat real game opponents (and winning.) And it’s free.

Reinforcement learning is an area of machine learning that involves taking right action to maximize reward in a particular situation. In this full tutorial course, you will get a solid foundation in reinforcement learning core topics.

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Autonomous aircraft have long been thought of as having the most potential, though not in the realm of glitzy people-carrying drones so much as the more sedate world of cargo. It’s here where the economic savings could be most significant. Large, long-range drones built specifically for cargo have the potential to be faster, cheaper and produce fewer CO₂ emissions than conventional aircraft, enabling same-day shipping over very long distances. In fact, the “flying delivering van” is considered the holy grail by many cargo operators.

In this space there are a number of companies operating, and these include: ElroyAir (California, raised $56 million), hybrid electric, VTOL, so so therefore short range; Natilus (California, funding undisclosed) uses a blended wing body, and is a large, longer-term project entailing probably quite high costs in certification and production; and Beta (Vermont, $886 million raised), which is an electric VTOL.

Into this space, out of Bulgaria (but HQ’d in London), comes Dronamics. The startup has already attained a license to operate in Europe, and plans to run a “cargo drone airline” using drones built specifically for the purpose. Dronamics claims its flagship “Black Swan” model will be able to carry 350 kg (770 lb) at a distance of up to 2,500 km (1,550 miles) faster, cheaper and with less emissions than currently available options.

A software program that ingests gigabytes of text can automatically generate whole paragraphs so natural they sound like a person wrote them. OpenAI’s GPT-3 is all the rage. What is it, what can it do, and where is it going?

Chatbots like Bing are software — not sentient.