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With a stylized celebration to celebrate at the end.

Boston Dynamics has done it once again. After demonstrating the extreme capabilities of its bipedal robot, Atlas, flawlessly executing parkour tricks, the company has now released a video where you will fall in love with the robot for doing what one hates the most–climbing down from a high platform or ladder to get the tool you need.

Needless to say, the video is shot inside Boston Dynamics’ controlled facility and results from hours of perspiration and many broken robotic appendages, something we have covered before.

In this vignette, a human is shown working on a high platform and realizes that he has forgotten his tool bag, which happens very often. In a world where a robot like Atlas is indeed at our beck and call, one can ask him to hand over the toolbag, which he does effortlessly.

In the world of spreadsheets and data analysis, a new player has emerged to shake up the game. Akkio, the easy-to-use AI company, has launched Chat Data Prep, a revolutionary machine learning platform that allows users to transform data using ordinary conversational language.

Gone are the days of struggling with complicated formulas and formatting commands in Excel. With Akkio’s Chat Data Prep, users can simply type in conversational language to make changes to their spreadsheet data. Leveraging AI and large language models, the platform interprets the user’s requests and makes the necessary changes to the data.

According to Jonathon Reilly, co-founder of Akkio, this new method of interacting with data results in a 10-fold reduction in the time it takes to prepare data for analysis. With Chat Data Prep, users can reformat dates, perform time-based math operations, and even fix messy data fields with a simple conversational command.

In a recent interview, Altman discussed hype surrounding the as yet unannounced GPT-4 but refused to confirm if the model will even be released this year.

OpenAI CEO Sam Altman has addressed rumors regarding GPT-4 — the company’s as yet unreleased language model and latest in the GPT-series that forms the foundation of AI chatbot ChatGPT — saying that “people are begging to be disappointed and they will be.”

During an interview with StrictlyVC, Altman was asked if GPT-4 will come out in the first quarter or half of the year, as many expect. He responded by offering no certain timeframe. “It’ll come out at some point, when we are confident we can do it safely and responsibly,” he said.


GPT-4 is the much-anticipated upgrade to ChatGPT.

The success that ChatGPT has had, at least in generating public interest, has had the inevitable consequence of prompting some writers to question its credentials and generally pour tepid if not actually cold water over what it can do. The latest of these is Will Knight writing in the January 13, 2023 edition of Wired. “ChatGPT Has Investors Drooling – but Can It Bring Home the Bacon?”.

In that article he makes two observations that merit closer attention, one of which I think has merit and the other of which I think harks back to a Dreyfus-like What Computers Still Can’t Do mentality. And both can be seen as examples of Schadenfreude.

Right at the end of the article Wright makes a legitimate point that he has gleaned from Phil Libin who was the CEO of the note-taking app Evernote from 2007–2015. Wright, summarising some of the downsides Libin anticipates, says One is that ChatGPT and other generative AI models are currently created by scraping content made by humans from the web, but are increasingly contributing to the text and images found online. All of these models are about to shit all over their own training data, he [Libin] says. ‘We’re about to be flooded with a tsunami of bullshit.’

Boston Dynamics has trained its Atlas robot to develop a new set of skills.

In this video, the humanoid robot manipulates the world around it – interacting with objects and modifying the course to reach its goal – pushing the limits of locomotion, sensing, and athleticism.

“We’re not just thinking about how to make the robot move dynamically through its environment, like we did in Parkour and Dance,” said Scott Kuindersma, the company’s team leader of research on Atlas. “Now, we’re starting to put Atlas to work and think about how the robot should be able to perceive and manipulate objects in its environment.

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.

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.

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