Author: Advanced AI Editor
ChatGPT went viral in late 2022, changing the tech world. Generative AI became the top priority for every tech company, and that’s how we ended up with “smart” fridges with built-in AI. Artificial intelligence is being built into everything, sometimes for the hype alone, with products like ChatGPT, Claude, and Gemini having come a long way since late 2022.As soon as it became clear that genAI would reshape technology, likely leading to advanced AI systems that can do everything humans can do but better and faster, we started seeing worries that AI would negatively impact society and doom scenarios where…
The last time I interviewed Demis Hassabis was back in November 2022, just a few weeks before the release of ChatGPT. Even then—before the rest of the world went AI-crazy—the CEO of Google DeepMind had a stark warning about the accelerating pace of AI progress. “I would advocate not moving fast and breaking things,” Hassabis told me back then. He criticized what he saw as a reckless attitude among some in his field, who he likened to experimentalists who “don’t realize they’re holding dangerous material.”Two and a half years later, much has changed in the world of AI. Hassabis, for…
In one of the more common disputes of modern AI, Ziff Davis, IGN Entertainment and Everyday Health Media have sued Open AI for copyright infringement. The lawsuit from the media companies alleged copyright infringement, violations of the Digital Millennium Copyright Act (DMCA), unjust enrichment and trademark dilution. IGN and Everyday Health Media are divisions of Ziff Davis. Ziff Davis alleged, “OpenAI has intentionally and relentlessly reproduced exact copies and created derivatives of Ziff Davis works without Ziff Davis’ authorization. The lawsuit said OpenAI has knowingly copied the text of Ziff Davis’ web sites without authorization and violated Ziff Davis’ written…
Tech giant IBM, which has operations in 150 countries, is improving its AI and data centers to help address environmental concerns.As Technology Magazine detailed, IBM gets almost 75% of its data center power from renewable fuels, and as many as 28 of those facilities rely 100% on clean energy.The company has also developed AI chips that use 14 times less energy than previous ones. These efficient chips still operate at a high capacity, which helps “leaders understand and respond to environmental changes,” as Christina Shim, IBM’s chief sustainability officer, told Technology Magazine.IBM’s other eco-friendly moves include expanding the work its…
Tech giant IBM, which has operations in 150 countries, is improving its AI and data centers to help address environmental concerns.As Technology Magazine detailed, IBM gets almost 75% of its data center power from renewable fuels, and as many as 28 of those facilities rely 100% on clean energy.The company has also developed AI chips that use 14 times less energy than previous ones. These efficient chips still operate at a high capacity, which helps “leaders understand and respond to environmental changes,” as Christina Shim, IBM’s chief sustainability officer, told Technology Magazine.IBM’s other eco-friendly moves include expanding the work its…
Researchers from Stanford University early today published the latest edition of their annual AI Index Report, detailing the growing influence of artificial intelligence technologies on our society and the global economy. The Stanford Institute for Human-Centered Artificial Intelligence, known as Stanford HAI, has been publishing its annual reports on the state of the AI industry since 2017. This year’s edition, the eighth, is the “most comprehensive” report to date, spanning more than 430 pages. The authors say it’s arriving at a critical juncture as the influence of AI across society rapidly accelerates with the emergence of increasingly capable and sophisticated…
[Image from Pixabay]The MIT Health and Life Sciences Collaborative recently announced the establishment of the Hood Pediatric Innovation Hub to drive children’s healthcare innovation. Launched in collaboration with the Boston-based Charles H. Hood Foundation — which has committed $15 million toward the effort over the next five years — the hub will focus on developing technologies and treatments tailored specifically for children, meeting unmet needs in pediatric medicine. Leveraging MIT’s life science strengths, the hub will provide seed funding and strategic support for bold, high-impact research projects with the potential to transform children’s healthcare. In addition to supporting researchers with…
Between 2013 and 2024, global private sector investment in artificial intelligence (AI) has surged, with a few countries leading the charge. Recent data reveals that 12 nations accounted for the bulk of global AI funding during this period, underscoring a growing international race for technological leadership. The United States leads by a wide margin, raising $471 billion—more than the rest of the world combined. China follows with $119 billion, while the United Kingdom, Canada, and Israel round out the top five with $28 billion and $15 billion each, respectively. Read also: Top countries leading in artificial intelligence patents This concentrated…
Artificial intelligence startups captured the majority of global venture capital funding in the first quarter of 2025.According to a new report from Pitchbook, AI and machine learning companies received 57.9% of all VC funding worldwide in Q1, more than double the 28% share seen in the same period last year.The momentum was even more concentrated in North America, where 70% of all venture capital flowed into AI-focused startups.Global AI Funding Hits $73B in Q1In total, the global AI sector raised $73 billion in the first quarter—already more than half of the total deal value AI startups secured in all of…
#gpt3 #knowledge #symbolic Symbolic knowledge models are usually trained on human-generated corpora that are cumbersome and expensive to create. Such corpora consist of structured triples of symbolic knowledge. This paper takes a different approach and attempts to generate such a corpus by prompting GPT-3. Results show that clever prompting, combined with targeted small critic models trained on human ratings can outperform both human-generated data, as well as the teacher model (GPT-3) itself. The results of this paper give a general recipe for automatically building corpora for various NLP tasks by extracting samples from large language models. OUTLINE: 0:00 – Intro…