Two small, humanoid robots play soccer after being trained with reinforcement learning. The AI tool helps the robots to be more agile and resilient compared with traditional computer programming, according to a recent study.
Unitree Robotics unveils G1 humanoid for $16k https://www.therobotreport.com/unitree-robotics-unveils-g1-humanoid-for-16k/
Nearly every corporation is now peddling their "AI story" out of their marketing departments. Most of their claims are pure nonsense. Companies are making deceptive claims on artificial intelligence. It's call 'AI washing' The Federal Trade Commission says that simply using an AI tool in the development of a product does not justify a claim that the product is powered by AI. https://www.commercialappeal.com/st...i-washing-better-business-bureau/74051341007/ “We’ve seen time and again that when new technologies come along, they can create buzz from investors as well as false claims by those purporting to use those new technologies.” Gary Gensler, the chairman of the Securities and Exchange Commission (SEC), made this comment in announcing settlements against two investment firms over charges that they engaged in “AI (Artificial Intelligence) washing” and other unlawful practices. In an article for techopedia.com, Margaret Rouse says that “washing is a strategy for aligning a product or service with current trends to make it more desirable.” I’ve written previously about “greenwashing,” which the Environmental Protection Agency says occurs when companies make vague or generic claims about products such as “environmentally friendly,” “eco safe,” or “green” that they don’t deliver on, Rouse defines AI washing as “a deceptive promotional practice that exaggerates or outright lies about a product or service’s use of AI.” She cites a number of motivations for engaging in AI washing, including increasing consumer interest, justifying a higher price point, and staying competitive in a fast-moving market. It’s also been found to increase investor interest in companies. Four things to look out for in deceptive 'AI washing' practices In an article for Forbes, futurist Bernard Marr cites these ways in which companies attempt to AI-wash their products and services: Overstate their capabilities – implying that their AI models and algorithms are more powerful, useful or flexible than they actually are. Misleadingly use the term “intelligent” – when, in fact, the software doesn’t use algorithms capable of learning and making decisions without being explicitly programmed how to do so. Offer very vague definitions – not specifically explaining which elements are “intelligent” and which rely on traditional software methodologies or human input. Downplay the amount of human input involved – either on the part of the service provider or the user. Consumers should start with a degree of AI skepticism In August 2023, the FTC shut down a company that took in $22 million peddling a business opportunity that they claimed “integrates AI machine learning into the automation process, resulting in increased revenues and margins.” The FTC worries that jargon such as “machine learning” and “neural networks” makes AI seem almost magical and facilitates AI washing and AI scams. The SEC settled the two AI washing cases in March. It alleged that Delphia falsely claimed to use AI and machine learning that incorporated client data in its investment process and that Global Predictions falsely claimed to be the “first regulated AI financial advisor.” Neither firm admitted to the charges but agreed to pay $400,000 in total civil penalties. Most of us don’t have the expertise to thoroughly evaluate a company’s claims about whether its products or services are powered by AI. The FTC says that simply using an AI tool in the development of a product does not justify a claim that the product is powered by AI. The advice of many experts is to start with a degree of skepticism about AI claims. Depending on how important the matter is to you, consider asking for evidence of how AI is used in a product or service. If you’re a business considering the purchase of an AI product, involve your IT department or an IT expert in evaluating it.
How AI is fuelling uncertainty for game developers "I'm very aware that I could wake up tomorrow and my job could be gone,” says Jess Hyland. The video game artist says the industry she’s spent almost 15 years working in is on “shaky” ground at the moment. A boom in players and profits during the pandemic sparked a flurry of investments, expansions and acquisitions that, in hindsight, now look short-sighted. Gaming remains profitable, but thousands of workers worldwide have lost their jobs, and successful studios have been shut down over the past two years. https://www.bbc.com/news/articles/cl44mv0jnv5o
Apple, Nvidia, Anthropic Used Thousands of Swiped YouTube Videos to Train AI Tech companies are turning to controversial tactics to feed their data-hungry artificial intelligence models, vacuuming up books, websites, photos, and social media posts, often unbeknownst to the creators. AI companies are generally secretive about their sources of training data, but an investigation by Proof News found some of the wealthiest AI companies in the world have used material from thousands of YouTube videos to train AI. Companies did so despite YouTube’s rules against harvesting materials from the platform without permission. Our investigation found that subtitles from 173,536 YouTube videos, siphoned from more than 48,000 channels, were used by Silicon Valley heavyweights, including Anthropic, Nvidia, Apple, and Salesforce. https://www.wired.com/story/youtube-training-data-apple-nvidia-anthropic/
"OpenAI basically set back progress towards AGI by quite a few years probably like five to 10 years .They caused this complete closing down of frontier research publishing but also they triggered this initial burst of hype around LLMs and now LLMs have sucked the oxygen out of the room” Sucked the oxygen out of the room in terms of absolutely nothing else is being researched now. Look up Keras and the books Deep Learning with Python and Deep Learning with R to see who wrote all that compared to some clueless youtuber making AI videos for clicks. This video is a mini version of the entire AI bubble conversation.
AI-generated video dangerous for democracy: Miles A deepfake video of Queensland Premier Steven Miles dancing may seem amusing but he warns it is a dangerous turning point for democracy. The Liberal-National Party in Queensland has posted the video on the social media platform TikTok, showing Miles grooving to a popular 2000s song. “POV: my rent is up $60 a week, my power bill is up 20 per cent, but the premier made a sandwich on TikTok,” it is captioned. But the video is Miles dancing; it has been created using generative artificial intelligence (AI) – technology that can create convincing photos or videos of a person or event from scratch. The video is labelled with a disclaimer that it was created with AI. Since it was posted last week, it has had nearly 30,000 views. On Tuesday Miles said the video seemed harmless but it represented a “turning point for democracy”. “Until now, we’ve known that photos could be doctored or photoshopped but we’ve been trained to believe what we see in video,” he said. “For a political party now to be willing to use AI to make deepfake attack videos, it’s a very dangerous turning point.” Miles said all Queenslanders should keep their eyes open for deepfake videos. https://www.thenewdaily.com.au/news/state/qld/2024/07/23/steven-miles-ai-ad-lnp
From what I’ve seen, AI is great for speed, data crunching, and execution, but the market still needs human intuition, adaptability, and risk management. Algorithms don’t get scared or greedy, but they also don’t read the room like an experienced trader.