This must count toward daily workout goals for his best friend.
Chinese robotics manufacturer, Unitree, has a four-legged robotic dog offering. What makes the dog super special is that it can do push-ups. Robotic dogs are the hottest new thing available in the market, and just like their natural counterparts, this quadruped buddy also wants to be man’s best friend. For this, the dog, or its manufacturer, will make sure it does everything to help you out, and if doing push-ups is what it takes, then that’s what it will be trained to do.
Unitree’s robotic dog, Go1, does not boast bright colors and only has a silvery metallic appearance.
Unitree/Twitter.
Robotic dogs are the hottest new thing available in the market, and just like their natural counterparts, this quadruped buddy also wants to be man’s best friend. For this, the dog, or its manufacturer, will make sure it does everything to help you out, and if doing push-ups is what it takes, then that’s what it will be trained to do.
Chinese tech companies rush to match Stable Diffusion and DALL-E 2, but roadblocks lie ahead.
The gigantic technological.
The gigantic technological leap that machine learning models have shown in the last few months is getting everyone excited about the future of AI — but also nervous about its uncomfortable consequences. After text-to-image tools from Stability AI and OpenAI became the talk of the town, ChatGPT’s ability to hold intelligent conversations is the new obsession in sectors across the board.
In China, where the tech community has always watched progress in the West closely, entrepreneurs, researchers, and investors are looking for ways to make their dent in the generative AI space. Tech firms are devising tools built on open source models to attract consumer and enterprise customers. Individuals are cashing in on AI-generated content. Regulators have responded quickly to define how text, image, and video synthesis should be used. Meanwhile, U.S. tech sanctions are raising concerns about China’s ability to keep up with AI advancement.
As generative AI takes the world by storm towards the end of 2022, let’s take a look at how this explosive technology is shaking out in China.
It’s a demonstration of what’s possible with today’s AI — and the outstanding challenges.
Generative AI is coming.
Generative AI is coming for videos. A new website, QuickVid, combines several generative AI systems into a single tool for automatically creating short-form YouTube, Instagram, TikTok and Snapchat videos.
Given as little as a single word, QuickVid chooses a background video from a library, writes a script and keywords, overlays images generated by DALL-E 2 and adds a synthetic voiceover and background music from YouTube’s royalty-free music library. QuickVid’s creator, Daniel Habib, says that he’s building the service to help creators meet the “ever-growing” demand from their fans.
“By providing creators with tools to quickly and easily produce quality content, QuickVid helps creators increase their content output, reducing the risk of burnout,” Habib told TechCrunch in an email interview. “Our goal is to empower your favorite creator to keep up with the demands of their audience by leveraging advancements in AI.”
The first open source equivalent of OpenAI’s ChatGPT has arrived, but good luck running it on your laptop — or at all.
This week, Philip Wang, the developer responsible for reverse-engineering closed-sourced AI systems including Meta’s Make-A-Video, released PaLM + RLHF, a text-generating model that behaves similarly to ChatGPT. The system combines PaLM, a large language model from Google, and a technique called Reinforcement Learning with Human Feedback — RLHF, for short — to create a system that can accomplish pretty much any task that ChatGPT can, including drafting emails and suggesting computer code.
But PaLM + RLHF isn’t pre-trained. That is to say, the system hasn’t been trained on the example data from the web necessary for it to actually work. Downloading PaLM + RLHF won’t magically install a ChatGPT-like experience — that would require compiling gigabytes of text from which the model can learn and finding hardware beefy enough to handle the training workload.
The year 2023 is set to be revolutionary for technology, with many disruptive trends expected to reshape how businesses function and how people interact with each other. From metaverse-based virtual workspaces, advancements in quantum computing and green energy sources to innovations in robots and satellite connectivity – here’s a look at the technological trends that could define the coming year.
According to BCG’s “Mind the Tech Gap” survey, a majority of businesses across 13 countries plan to increase their spending on digital transformation in 2023 vs. 2022. The top two areas for future investments are business model transformation and sustainability, with respondents expressing concern over the uncertain return on investment from digital transformation initiatives. Furthermore, Sylvain Duranton, a Senior Partner & Managing Director at Boston Consulting Group, Global Leader of BCG X states that “Despite economic headwinds, 60% of BCG’s recently surveyed companies plan to increase their investments in digital and AI in 2023. But many of those surveyed simultaneously expressed concern over the uncertainty of the ROI from digital transformation. During covid, we saw companies that used advanced digital technologies and AI outperform their counterparts.
Medium-range weather forecasts play a crucial role in agriculture, construction, travel and other industries. They also bring practical value to people’s daily lives, enabling us to plan outings and keeping us safe from extreme weather events. Traditional numerical weather prediction (NWP)-based forecasting…
Who knows what impact the chatbot will ultimately have. But a new report from Burning Glass Institute done in partnership with Business-Higher Education Forum and Wiley shows that artificial intelligence and machine learning skills are not only among the fastest growing and widest spreading skill sets across industries in the job market—but having them can mean workers get paid more, rather than less in their jobs.
“The notion that automation is this lurking menace on the horizon is something we should rethink,” says Matt Sigelman, president of the labor market research nonprofit Burning Glass Institute. “We’re seeing that people whose work involves leveraging automation skills get paid significantly more than those who don’t.”
Imagine being able to have a language conversation about anything with a computer. This is now possible and available to many people for the first time with ChatGPT. In this episode we take a look at the consequences and some interesting insights from Open AI’s CEO Sam Altman.
» Podcast: https://www.youtube.com/channel/UC6jKUaNXSnuW52CxexLcOJg.
Interviews with Altman: https://www.youtube.com/watch?v=WHoWGNQRXb0
» Twitter | @ColdFusion_TV
» Instagram | coldfusiontv.
//Soundtrack//
Burn Water — Nostalgia Dreams [The Deep Mix]
All Parts Equal – Airae.
City Phases — John Abbot.
Burn Water – Ikigai.
Burn Water – Take Flight (Instrumental)
In the Waiting — Johannes Bornlof.
Burn Water — Yesterday’s Future.
Roland Lewis — Wait.
Burn Water – Being Honest.
Aphex Twin – Stone in Focus.
Tangerine Dream — Love On A Real Train.
Burn Water – Passage of Time.
Burn Water – Nostalgia Dreams.
Sources: