On Tuesday, lawmakers, A.I. experts, and the guy chiefly responsible for ChatGPT gathered in the same room to swap analogies for just how dramatically A.I. is about to change our lives. The invention of the internet, the cell phone, and airplanes all made the list. For a Senate Judiciary Committee hearing ostensibly concerned with the dangers A.I. might pose to the world, everyone seemed to get along quite well. At one point Sen. John Kennedy of Louisiana asked Sam Altman, the CEO of ChatGPT maker OpenAI, if he could recommend some people to oversee a new agency to oversee A.I.--that is, to pick his own regulators. Then again, Altman was doing an exceptional job projecting a self-critical persona.

Since the tech industry began its love affair with machine learning about a decade ago, US lawmakers have chattered about the potential need for regulation to rein in the technology. No proposal to regulate corporate AI projects has got close to becoming law--but OpenAI's release of ChatGPT in November has convinced some senators there is now an urgent need to do something to protect people's rights against the potential harms of AI technology. At a hearing held by a Senate Judiciary subcommittee yesterday attendees heard a terrifying laundry list of ways artificial intelligence can harm people and democracy. Senators from both parties spoke in support of the idea of creating a new arm of the US government dedicated to regulating AI. The idea even got the backing of Sam Altman, CEO of OpenAI.

Sam Altman, the chief executive of ChatGPT's OpenAI, testified before members of a Senate subcommittee on Tuesday about the need to regulate the increasingly powerful artificial intelligence technology being created inside his company and others like Google and Microsoft. The three-hour-long hearing touched on several aspects of the risks that generative AI could pose to society, how it would affect the jobs market and why regulation by governments would be needed. Tuesday's hearing will be the first in a series of hearings to come as lawmakers grapple with drafting regulations around AI to address its ethical, legal and national security concerns. Senator Richard Blumenthal from Connecticut opened the proceedings with an AI-generated audio recording that sounded just like him. "Too often we have seen what happens when technology outpaces regulation. We have seen how algorithmic biases can perpetuate discrimination and prejudice and how the lack of transparency can undermine public trust. This is not the future we want," the voice said.

Samsung and LG have a long-running rivalry, both Korean corporations, both make TVs, speakers, freezers, toothpaste (maybe?) and the rest. It's a frosty relationship, with many trade shows revealing new TV products from both companies with nigh-on identical specifications and sizes. So it's a bit of a shock to hear from Reuters that Samsung has inked a deal with LG to buy its white OLED (WOLED) TV panels. The plan, according to the report, is for LG Display to supply two million panels next year, then three million and five million, respectively in 2025 and 2026. These high-end white OLED panels would be 77 and 83 inches, so they're likely to be in Samsung's most premium TVs.

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OpenAI CEO Sam Altman said language and cultural inclusivity is'very important' to his company's mission as it builds and trains powerful artificial intelligence systems. OpenAI CEO Sam Altman said language and cultural inclusivity are "very important" to his company's mission as it builds and trains powerful artificial intelligence systems. "We think this is really important," Altman told California Democratic Sen. Alex Padilla of language inclusivity in AI. "One example is that we worked with the government of Iceland, which is a language of fewer speakers than many of the languages that are well represented on the internet, to ensure that their language was included in our model," Altman said. The Senate Judiciary Subcommittee on Privacy, Technology and the Law held a hearing Tuesday during which Altman, IBM Chief Privacy & Trust Officer Christina Montgomery and New York University professor emeritus Gary Marcus delivered testimony on how best to regulate powerful artificial intelligence systems. Sam Altman, CEO and co-founder of OpenAI, speaks during a Senate Judiciary subcommittee hearing in Washington, D.C., Tuesday, May 16, 2023.

Sam Altman, the CEO of artificial intelligence lab OpenAI, told a Senate panel he welcomes federal regulation on the technology "to mitigate" its risks. A software company is looking to use artificial intelligence (AI) to help companies mitigate and avoid human rights risks in their supply chain. "When it comes to transparency in supply chains, there is such an enormous amount of data that is being spread not just in spreadsheets but also through social that we can start to use to identify and zero in," Justin Dillon, CEO and Founder of FRDM, told Fox News Digital, adding that it's "early, early days" for the technology and methods his company uses. Any AI technology requires significant amounts of data to analyze and process, and Dillon pointed to a treasure trove of data available on social media that his company can use to help map out problematic hotspots in supply chains -- areas that companies can then work to avoid and help create more ethical routes. Dillon related a story from a father in Australia who was talking about using "social listening," which is the analysis of conversations and trends related to different brands.

Senators on Tuesday got the green light to impose significant federal regulation on artificial intelligence systems, not just from two industry giants, but from an AI expert who warned that the fate of the nation may depend on tough AI rules from Congress. A Senate Judiciary subcommittee heard from OpenAI CEO Sam Altman and IBM Chief Privacy & Trust Officer Christina Montgomery, who both invited federal oversight of AI even though they split on whether a new federal agency is needed. In between those witnesses sat Gary Marcus, the New York University professor emeritus and leader of Uber's AI labs from 2016 to 2017, who issued a stark warning that human life is about to be upended by this unpredictable technology. "They can and will create persuasive lies at a scale humanity has never seen before," Marcus warned of generative AI systems. "Outsiders will use them to affect our elections, insiders to manipulate our markets and our political systems. Marcus warned that AI systems that do severe damage to humans' trust in each other have already been released and that the damage is already mounting. Gary Marcus, professor emeritus at New York University, speaks during a Senate Judiciary subcommittee hearing in Washington, D.C., on Tuesday, May 16, 2023. "A law professor, for example, was accused by a chatbot of sexual harassment.

Sam Altman, the chief executive of ChatGPT's OpenAI, has told legislators in the United States that government regulation of artificial intelligence is "critical" because of the potential risks it poses to humanity. Altman used his appearance on Tuesday in front of a US Senate judiciary subcommittee to urge Congress to impose new rules on big tech, despite deep political divisions that for years have blocked legislation aimed at regulating the internet. "If this technology goes wrong, it can go quite wrong," Altman, who has become the global face of AI, told the hearing. "OpenAI was founded on the belief that artificial intelligence has the potential to improve nearly every aspect of our lives, but also that it creates serious risks," he said, but given concerns about disinformation, job security and other dangers, "we think that regulatory intervention by governments will be critical to mitigate the risks of increasingly powerful models". Altman proposed the formation of a US or global agency that would licence the most powerful AI systems and have the authority to "take that licence away and ensure compliance with safety standards".

To solve this problem, there are two main classes of computational methods that provide different approaches to approximate π. The first one is Markov chain Monte Carlo (MCMC) methods (Metropolis et al., 1953; Hastings, 1970; Robert and Casella, 1999). For many years, MCMC has been the standard approach for Bayesian analysis because of its theoretical soundness. The method constructs a Markov chain to produce simulation consistent samples from the target distribution π. A general MCMC approach is the Metropolis-Hastings algorithm that generates a Markov chain by first generating a proposed state from a proposal distribution, then using an acceptance rule to decide whether to accept the proposal or stay at the current state (Robert and Casella, 1999).