Microsoft merges consumer and enterprise Copilot AI chatbots into one application

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.

The AI-driven memory demand surge could lead to prolonged supply shortages, impacting tech infrastructure costs and investor strategies. The post UBS raises DRAM and NAND price forecasts amid AI demand surge appeared first on Crypto Briefing.

The case could redefine AI copyright norms, impacting how industries balance innovation with intellectual property rights. The post Midjourney wants to peek inside Hollywood’s AI closet, and studios are not having it appeared first on Crypto Briefing.

Meta's AI investment strategy could reshape corporate culture, emphasizing in-house innovation and efficiency while reducing external dependencies. The post Meta invests billions in AI, urges employees to use in-house tools over third-party coding assistants appeared first on Crypto Briefing.

Satoshi Nakamoto remains Bitcoin’s most coveted mystery, with the creator’s true identity continuing to captivate researchers, journalists, cryptographers, and enthusiasts more than 17 years after the network’s launch. To explore whether that mystery will ever be solved, several of today’s top artificial intelligence (AI) models used Bayesian scenario trees to estimate the odds that Nakamoto’s […]

Readers respond to the profile of Iason Gabriel, a philosopher and research scientist at Google DeepMind The Guardian’s profile of Google DeepMind’s philosopher was encouraging because it showed how seriously many of the people building AI are taking their ethical responsibilities (‘There’s this deep mystery of what, actually, is this thing?’: the philosopher inside Google DeepMind AI, 30 June). Yet it also left me wondering whether the most important decision has already been made. The article asks whose moral compass should guide artificial intelligence. My concern is that the direction of travel may already have been set, not by philosophers or engineers, but by the incentives surrounding the technology. Hundreds of billions are now being invested because AI promises commercial returns and geopolitical advantage. Those pressures are understandable, but they are also quietly determining the future before society has consciously debated where it wants to go. Continue reading...

Insider Brief PRESS RELEASE — AI model lab Scaled Cognition announced it has raised $100 million in a Series A funding round led by Khosla Ventures. The company is focused on solving one of the biggest challenges in AI today: reliability. While AI systems have become remarkably capable, they remain prone to mistakes and hallucinations that limit their use […]

A measure of daily spending on AI usage has fallen since its peak in May — although interpreting what the decline means is challenging. The Silicon Data LLM Token Expenditure Index (SDLLMTK) is a daily snapshot of the state of the market. It draws data from a multitude of providers and produces a blended rate, expressed in US dollars per one million tokens. The Index currently stands at 1.62, an increase from the index’s inception in December last year, but down 20% lower than its peak in May. Because the index weights frontier model and open-weight model usage differently, it’s difficult to identify the causes of the decline. Are enterprises pushing vendors to lower prices? That won’t be good news for those AI businesses going for an IPO, Is there a backlash against AI as some organizations are finding the downsides? There has been some public reaction to job losses and the attack on human creativity, causing AI supporters to be booed at university campuses. And there is also resistan