Artificial Intelligence - Page 45

The Chairman of the Korean Chamber of Commerce and Industry (KCCI) and SK Group, Chey Tae-won had some choice words to say at the recent 47th KCCI Jeju forum.

The SK Group chairman compared the AI boom to the gold rush, adding: "When there was no more gold, the sellers became unable to sell pickaxes. Without making money, the AI boom could vanish, just as the gold rush disappeared".

Chey expects that NVIDIA will continue to be one of the biggest companies by market capitalization over the next three years. The AI boom recently led NVIDIA to a record $3.3 trillion market cap.

Tenstorrent has just launched its new Wormhole high-performance AI chip featuring the RISC-V architecture, with chip legend Jim Keller's fingerprints all over the Wormhole AI chip.

The new Tenstorrent Wormhole AI chip will be a cost-effective and scalable solution for AI customers. The company is also unveiling AI workstation solutions dedicated to its new Wormhole platform, meaning it offers consumers a full AI package.

Tenstorrent's new Wormhole AI chips will be offered in PCIe cards in two different configurations: the Wormhole n150 and Wormhole n300. The new Wormhole n150 features a single processor with 72 Tensix cores, with the company saying each Tensix core features 5 RISV-C baby cores, allowing scalability with multi-chip development much more efficiently.

The art of price negotiation used to be a big part of buying anything, where the listed or stated price for something marked the beginning of a back-and-forth between retailer and customer. In some countries, negotiating or haggling is a part of buying something and expected.

Even so, I wasn't expecting to see that there's already an AI Negotiation chatbot that can be plugged into online shopping portals to simulate the ancient art of haggling. The generative AI is called Nibble, and it's described as "the world's most experienced AI negotiation platform, creating win-win outcomes at scale."

The official site for Nibble states that over 200 organizations currently utilize AI and handle deals worth up to six figures. It works as expected: an AI chatbot where you can ask for a better deal. The fun or dystopian part (depending on your general take on AI popping up everywhere) is that Nibble talks precisely like a pushy salesperson.

Apple's response follows an investigative report on a public dataset that companies such as Apple, NVIDIA, and others of relative size used to train artificial intelligence models. The report found the dataset contained copyrighted IP, such as YouTube video transcripts or subtitles from the most popular creators on the platform.

The report from Proof News alleges subtitles from more than 170,000 YouTube videos across more than 48,000 channels were scraped and found within the dataset known as Pile. The report also found AI companies stating in their research papers the use of the Pile dataset to train certain models. For example, Apple used the Pile dataset to train OpenELM, a new AI model that was released in April, which is only weeks before the company officially unveiled Apple Intelligence.

The close time difference between the release of OpenELM and the Apple Intelligence announcement, combined with the mounting controversy surrounding copyrighted IP AI training, resulted in the assumption that the AI model powering Apple Intelligence was trained on YouTube video transcripts. However, that doesn't seem to be the case, as Apple has informed 9to5Mac that Apple Intelligence doesn't use the OpenELM model and went as far as to say OpenELM doesn't power any of its AI or machine learning features.

A new report from Proof News alleged Apple, NVIDIA and other big tech companies used a dataset that contained copyrighted IP to train their respective AI models. That copyrighted IP included transcripts of YouTube videos from prominent creators, such as MKBHD, one of the platforms biggest technology reviewers.

The report cited an investigation into the dataset known as Pile, with the reporters claiming to have discovered transcripts or subtitles of more than 170,000 YouTube videos across 40,000 different channels. Some of those videos were from creators such as MrBeast, MKBHD, Jimmy Kimmel, Stephen Colbert, PewDiePie and many others. The report also revealed statements from companies stating they used the Pile dataset in the training of their AI models, as the dataset is free and open for public use.

This newly surfaced report raises the question of what happens to AI companies that use datasets containing copyrighted IP to train their AI models. Is the owner of the AI model responsible or the company that formed the dataset? Or both? OpenAI was caught in the hot water bath that is AI models and copyrighted data only a few months ago when Chief Technology Officer (CTO) Mira Murati was unable to answer whether OpenAI uses YouTube videos to train its AI models.

President Trump and his allies are working on a sweeping AI executive order that would see a bunch of "Manhattan Projects" to develop next-generation military technology, and "Make America First in AI".

A second Trump administration would not just kick off the series of Manhattan Projects developing next-gen military technology, but immediately review "unnecessary and burdensome regulations", that would see President Trump looking at AI policies that would help Silicon Valley companies and investors, reports the Washington Post.

The new framework would also create new "industry-led" agencies that would look at AI models and secure systems from foreign countries, according to a "copy of the document viewed exclusively by The Washington Post". The framework itself includes a section that's titled "Make America First in AI" which has a "markedly different strategy for the booming sector than that of the Biden administration, which last year issued a sweeping executive order that leverages emergency powers to subject the next generation of AI systems to safety testing".

Samsung's new HBM3E memory has reportedly passed NVIDIA certification, with new Samsung HBM3E memory supply expected to flow in the coming months.

A new report from UDN reveals that up to 30% of existing DRAM production capacity will be allocated to provide HBM3E memory, which is causing a huge effect of capacity crowding, which UDN reports "hurry up stocking (DRAM)" is expected to trigger a DRAM price increase wave.

Taiwanese memory manufacturers like Nanya, ADATA, and TEAMGROUP are "enjoying the benefits of price increases". Samsung is the world's memory leader, with a DRAM market share that's reportedly over 45%, with the South Korean giant to allocate 30% of its production capacity to make HBM3E memory for AI GPUs, with over 13% of the world's existing DRAM production capacity no longer invested into DDR4 and DDR5 and other DRAMs, which will reportedly lead to a decline in the DRAM market, with supply tighter than ever before.

AMD and Intel are about to unleash next-generation CPUs and APUs with beefed-up AI capabilities, but do you really need, or even want them? Probably not, and that's exactly how 84% of users voted in a new poll.

TechPowerUp posted a new poll asking if PC users were interested in paying for AI-enhanced hardware, but 84% of the votes said NO. Over 26,000 people voted, with 7% saying that they would and 9% not sure what they wanted to do.

W1zzard posted: "AI capabilities are becoming increasingly integrated into hardware devices, promising enhanced performance and functionality. However, this advanced technology often comes at a premium price. Would you pay more for hardware with AI features?"

We shouldn't really be shocked by the outcomes of surveys at this point, but we were rather taken aback by the apparent level of misconception out there regarding AIs like ChatGPT - with many folks seemingly believing that these chatbots have "some degree of consciousness."

According to a study from the University of Waterloo (flagged by TechSpot), two-thirds of respondents in a survey (of 300) in the US felt this was the case, and further they agreed that such AI tools can have "subjective experiences such as feelings and memories."

Of course, these are Large Language Models (LLMs) and they most certainly don't experience feelings - not by any definition or philosophy we're aware of - but they are cleverly constructed AIs that can appear this way, sure. Plus the datasets they're trained on are inevitably human content - the opinions and thoughts that they hoover up by the ton, from every corner of the web - so that's reflected in the replies to queries, clearly.

In early April, YouTube sent a clear message to AI model developers that downloading data from the platform and using it to train AI models is a clear violation of YouTube's terms of service.

This sentiment was reinforced in the same week as YouTube's public comment about its content being used to train AI model, but it came from a Google spokesperson who told the New York Times any, "unauthorized scraping or downloading of YouTube content" is prohibited. However, a new report from Proof News has found YouTube has been scraped for its data, and some of the biggest tech companies advancing AI have used it to train models.

According to a Proof News investigation, subtitles from 172,535 YouTube videos were siphoned from more than 48,000 channels, and some of these channels included prominent creators on the platform such as MKBHD (19 million subscribers), MrBeast (289 million), Jacksepticeye (31 million), PewDiePie (111 million), Stephen Colbert, John Oliver, Jimmy Kimmel, and more. Notably, the video transcriptions are subtitles files.