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ChatGPT Is a Mirror of Our Times

Computers and information technologies were once hailed as a revolution in education. Their benefits are undeniable. They can provide students with far more information than a mere textbook. They can make educational resources more flexible, tailored to individual needs, and they can render interactions between students, parents, and teachers fast and convenient. And what would schools have done during the pandemic lockdowns without video conferencing?

The advent of AI chatbots and large language models such as OpenAI’s ChatGPT, launched last November, create even more new opportunities. They can give students practice questions and answers as well as feedback, and assess their work, lightening the load on teachers. Their interactive nature is more motivating to students than the imprecise and often confusing information dumps elicited by Google searches, and they can address specific questions.

The algorithm has no sense that “love” and “embrace” are semantically related.

Exclusive: The $2 Per Hour Workers Who Made ChatGPT Safer

ChatGPT was hailed as one of 2022’s most impressive technological innovations upon its release last November. The powerful artificial intelligence (AI) chatbot can generate text on almost any topic or theme, from a Shakespearean sonnet reimagined in the style of Megan Thee Stallion, to complex mathematical theorems described in language a 5 year old can understand. Within a week, it had more than a million users.

ChatGPT’s creator, OpenAI, is now reportedly in talks with investors to raise funds at a $29 billion valuation, including a potential $10 billion investment by Microsoft. That would make OpenAI, which was founded in San Francisco in 2015 with the aim of building superintelligent machines, one of the world’s most valuable AI companies.

But the success story is not one of Silicon Valley genius alone. In its quest to make ChatGPT less toxic, OpenAI used outsourced Kenyan laborers earning less than $2 per hour, a TIME investigation has found.

Google JUST Revealed Its OpenAI ChatGPT TERMINATOR w/ THIS NEW AI From DeepMind? | Sparrow Chatbot

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
Google is preparing to release its Sparrow AI chatbot to compete with OpenAI’s ChatGPT, which was trained on human feedback and uses Google search to answer about current information, may be their answer as its likely going into beta this year. Google Deepmind releases its DreamerV3 reinforcement learning general AI that was trained in a fraction of the time required for OpenAIs similar project, but also needed no human input to be able to complete various tasks in minecraft. German Bionic showed its artificial intelligence powered robotic exoskeleton at CES 2023, which helps workers lift objects of up to 30 kilograms.

AI News Timestamps:
0:00 New Google AI vs OpenAI ChatGPT
4:28 Google Deepmind DreamerV3
7:06 AI Powered Robotic Exoskeleton.

#technology #tech #ai

Atlas Gets a Grip | Boston Dynamics

It’s time for Atlas to pick up a new set of skills and get hands on. In this video, the humanoid robot manipulates the world around it: Atlas interacts with objects and modifies the course to reach its goal—pushing the limits of locomotion, sensing, and athleticism.

To learn how we go from idea to execution, go being the scenes with our team: https://youtu.be/XPVC4IyRTG8

#BostonDynamics #Robots #Robotics

StrictlyVC in conversation with Sam Altman, part two (OpenAI)

OpenAI cofounder and CEO Sam Altman sat down for a wide-ranging interview with us late last week, answering questions about some of his most ambitious personal investments, as well as about the future of OpenAI.

This second clip is focused exclusively on artificial intelligence, including how much of what OpenAI is developing Altman thinks should be regulated, whether he’s worried about the commodification of AI, his thoughts about Alphabet’s reluctance to release its own powerful AI, and worst-and best-case scenarios as we move toward a future where AI is ever-more central to our lives.

There was much to discuss (and he was generous to stay and talk about it).

You can find the first part our sit-down — focused in part on Helion Energy, a nuclear fusion company that has become Altman’s second-biggest project — here: https://youtu.be/57OU18cogJI

The Next Step for AI in Biology Is to Predict How Proteins Behave in the Body

This shapeshifting controls the biological processes of living things—for example, opening the protein tunnels dotted along neurons or driving cancerous growth. But it also makes understanding protein behavior and developing drugs that interact with proteins a challenge.

While recent AI breakthroughs in the prediction (and even generation) of protein structures are a huge advance 50 years in the making, they still only offer snapshots of proteins. To capture whole biological processes—and identify which lead to diseases—we need predictions of protein structures in multiple “poses” and, more importantly, how each of these poses changes a cell’s inner functions. And if we’re to rely on AI to solve the challenge, we need more data.

Thanks to a new protein atlas published this month in Nature, we now have a great start.

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