Still, Larsen’s most recent obsession felt different, “longer and more intense than most of his other projects,” she said. For more than a year and a half, Larsen couldn’t stop thinking about a certain math problem.
Then, in November 2021, Granville opened up an email from Larsen, then 17 years old and in his senior year of high school. A paper was attached — and to Granville’s surprise, it looked correct. “It wasn’t the easiest read ever,” he said. “But when I read it, it was quite clear that he wasn’t messing around. He had brilliant ideas.”
Pomerance, who read a later version of the work, agreed. “His proof is really quite advanced,” he said. “It would be a paper that any mathematician would be really proud to have written. And here’s a high school kid writing it.”
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I made this video with the help of Artificial Intelligence to prove the point Terence McKenna makes in this video that AI will surpass the human production in all the levels.
What did AI tools make? - Tuning the audio quality to make it look like a podcast record, even though the audio was recorded with a low quality hand microphone in a party in 1998. - Creating a realistic HD picture of Terence McKenna and tuning the color level, with background.
AUTHOR : Terence Kemp McKenna (November 16, 1946 – April 3, 2000) was an American ethnobotanist and mystic who advocated the responsible use of naturally occurring psychedelic plants. He spoke and wrote about a variety of subjects, including psychedelic drugs, plant-based entheogens, shamanism, metaphysics, alchemy, language, philosophy, culture, technology, environmentalism, and the theoretical origins of human consciousness. He was called the “Timothy Leary of the ‘90s”, “one of the leading authorities on the ontological foundations of shamanism”, and the “intellectual voice of rave culture”.
McKenna formulated a concept about the nature of time based on fractal patterns he claimed to have discovered in the I Ching, which he called novelty theory, proposing that this predicted the end of time, and a transition of consciousness in the year 2012. His promotion of novelty theory and its connection to the Maya calendar is credited as one of the factors leading to the widespread beliefs about the 2012 phenomenon. Novelty theory is considered pseudoscience.
OpenAI is the developer of a new AI program called ChatGPT, capable of writing and conversing very much like a human.
On the first task, the general impression from teachers was that at best it provided a framework but not the details for lesson planning. The same was said about the letter-writing capabilities of the tool, and the composing of a rubric. On providing feedback on student work, the response was less than impressed with the comments and grading. And on writing a letter of recommendation, the comments stated that what ChatGPT came up with was “far too generic.” So all in all, the current version of ChatGPT as a teaching aid seems underwhelming.
On the student work side, ChatGPT is far more problematic. Because ChatGPT can compose the kind of content it produced for me in the above example, teachers have expressed concern that the tool makes it easy for students to submit work they didn’t write.
When OpenAI made it publicly available in November of last year, the New York City School Board blocked access to it on its networks and computers. A Princeton University student created an app called GPTZero aimed at the responsible use of AI in education and capable of detecting ChatGPT-written documents.
Every year, the Stanford Institute for Human-Centered Artificial Intelligence (HAI) puts out its AI Index, a massive compendium of data and graphs that tries to sum up the current state of artificial intelligence. The 2022 AI Index, which came out this week, is as impressive as ever, with 190 pages covering R&D, technical performance, ethics, policy, education, and the economy. I’ve done you a favor by reading every page of the report and plucking out 12 charts that capture the state of play.
It’s worth noting that many of the trends I reported from last year’s 2021 index still hold. For example, we are still living in a golden AI summer with ever-increasing publications, the AI job market is still global, and there’s still a disconcerting gap between corporate recognition of AI risks and attempts to mitigate said risks. Rather than repeat those points here, we refer you to last year’s coverage.
As students of the Fresconean way of thinking, Theofilos Chaldezos breaks down Jacque Fresco’s lecture in this video on “Expectations, Predictability, and Subjective Behavior” with Matthew Kahn. These discussions could aid in the way of thinking that helps people live lives with less frustration, stress, and anxiety.
Chapters. 00:00 — Introduction. 2:27 — Expectations. 3:00 — Subjectivity Influencing Expectation. 6:15 — Thalamic vs. Cortical Behavior. 7:20 — Compromise. 8:11 — Take Action without Subjectivity. 10:43 — Alternative Plans. 12:57 — Insufficient Tools. 14:18 — Incremental Changes. 14:58 — Accelerating Change. 21:58 — Neural Lag. 25:02 — Simulating Values. 27:09 — Reason vs. Neural Lag. 27:54 — Convenient Alternatives. 30:09 — Competition. 30:56 — Rationality. 33:05 — One-upmanship. 34:05 — Summary from Matthew. 35:20 — Belief vs. Predictability and Expectations. 42:52 — Summary from Jacque Fresco.
The Sociocyberneering Education Project is a project which Theofilos Chaldezos developed to build enhanced skills through education. The Sociocyberneering Education Project uses a systems approach to education to allow The Venus Project to experiment and develop courses that can be used internally and externally to educate volunteers and the general public. The course offered builds a solid knowledge base that would help individuals handle teaching, present the history and the aims and proposals, and manage change towards the direction proposed by The Venus Project.
The Venus Project proposes an alternative vision of what the future can be if we apply what we already know in order to achieve a sustainable new world civilization. It calls for a straightforward redesign of our culture in which the age-old inadequacies of war, poverty, hunger, debt, and unnecessary human suffering are viewed not only as avoidable but as totally unacceptable. Anything less will result in a continuation of the same catalog of problems inherent in today’s world.
Artificial Intelligence is not the future. It is here today or has been for a long time — depending on who you ask. As we enter 2023, it is not enough to say that 2023 is the “year of AI” — the past few years have all been the “year of AI”. I believe 2023 is the year of AI Education.
What is AI Education? I have previously written articles about AI-Literacy, and the need for everyone in the world to understand AI at some level. AI Education is the process of becoming AI Literate.
Why is 2023 the year of AI Education? This post shows why it should be and why it can be.
A team led by University College London (UCL) and University College London Hospitals (UCLH) researchers has mapped the parts of the brain that support our ability to solve problems without prior experience – otherwise known as fluid intelligence.
Fluid intelligence is arguably the defining feature of human cognition. It predicts educational and professional success, social mobility, health, and longevity. It also correlates with many cognitive abilities such as memory.
Fluid intelligence is thought to be a key feature involved in “active thinking” – a set of complex mental processes such as those involved in abstraction, judgment, attention, strategy generation, and inhibition. These skills can all be used in everyday activities – from organizing a dinner party to filling out a tax return.
I n 2017, Andhra Pradesh witnessed two deadly bus accidents after the driver fell asleep at the wheel. One was a tourist bus and the other a school bus carrying children and teachers.
This news concerned Pradeep Varma (22), a student of Gayatri Vidya Parishad College of Engineering, Visakhapatnam. It left him wondering why there was no technology in place to prevent such accidents.
“After doing some research, I realised that while there is technology to detect external crashes and predict them, there aren’t many prevalent ones to detect a driver falling asleep,” says Pradeep, in an interview with The Better India.
In episode 220 of the Stem Cell Podcast, we chat with Dr. Michael Levin, the Director of the Allen Discovery Center and a Distinguished Professor of Biology at Tufts University. He talks about regenerating frog legs, using bioelectricity to direct development, and the potential applications of xenobots.
