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Expensive to build and often needing highly skilled engineers to maintain, artificial intelligence systems generally only pay off for large tech companies with vast amounts of data. But what if your local pizza shop could use AI to predict which flavor would sell best each day of the week? Andrew Ng shares a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity. Learn how we could build a richer society – all with just a few self-provided data points.

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Continue reading “How AI Could Empower Any Business | Andrew Ng | TED” »

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Enterprises have quickly recognized the power of generative AI to uncover new ideas and increase both developer and non-developer productivity. But pushing sensitive and proprietary data into publicly hosted large language models (LLMs) creates significant risks in security, privacy and governance. Businesses need to address these risks before they can start to see any benefit from these powerful new technologies.

As IDC notes, enterprises have legitimate concerns that LLMs may “learn” from their prompts and disclose proprietary information to other businesses that enter similar prompts. Businesses also worry that any sensitive data they share could be stored online and exposed to hackers or accidentally made public.

The 80,000 Hours Podcast features unusually in-depth conversations about the world’s most pressing problems and what you can do to solve them. Learn more, read the summary and find the full transcript on the 80,000 Hours website: https://80000hours.org/podcast/episodes/jan-leike-superalignment.

In July, OpenAI announced a new team and project: Superalignment. The goal is to figure out how to make superintelligent AI systems aligned and safe to use within four years, and the lab is putting a massive 20% of its computational resources behind the effort.

Continue reading “Jan Leike on OpenAI’s massive push to make superintelligence safe in 4 years or less” »

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Microsegmentation is table stakes for CISOs looking to gain the speed, scale and time-to-market advantages that multicloud tech stacks provide digital-first business initiatives.

Gartner predicts that through 2023, at least 99% of cloud security failures will be the user’s fault. Getting microsegmentation right in multicloud configurations can make or break any zero-trust initiative. Ninety percent of enterprises migrating to the cloud are adopting zero trust, but just 22% are confident their organization will capitalize on its many benefits and transform their business. Zscaler’s The State of Zero Trust Transformation 2023 Report says secure cloud transformation is impossible with legacy network security infrastructure such as firewalls and VPNs.

In the last ten years, AI systems have developed at rapid speed. From the breakthrough of besting a legendary player at the complex game Go in 2016, AI is now able to recognize images and speech better than humans, and pass tests including business school exams and Amazon coding interview questions.

Last week, during a U.S. Senate Judiciary Committee hearing about regulating AI, Senator Richard Blumenthal of Connecticut described the reaction of his constituents to recent advances in AI. “The word that has been used repeatedly is scary.”

The Subcommittee on Privacy, Technology, and the Law overseeing the meeting heard testimonies from three expert witnesses, who stressed the pace of progress in AI. One of those witnesses, Dario Amodei, CEO of prominent AI company Anthropic, said that “the single most important thing to understand about AI is how fast it is moving.”

The popularity of remote food delivery skyrocketed during the COVID-19 pandemic, and the trend has continued to help businesses thrive years later. Unfortunately, some of the robotic delivery vehicles are taking a beating, with several viral videos showing people kicking the autonomous bots over and even stealing the products inside.
KTLA 5’s Rachel Menitoff reports. (Aug. 7, 2023)

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What we perceive to be the edge of our universe is not the actual edge of the universe, with most scientists in agreement that more space lies hidden beyond what we’re able to see. Last time out, we travelled to the very edge of our observable universe. But today, we will be going even farther, as we wade out into the darkness of the unobservable universe.

Watch Part 1 (Journey to the Edge of the Universe): https://youtu.be/QhM5zAVvOI4

Continue reading “Beyond the Observable Universe [4K]” »

Salesforce is leading a financing round in Hugging Face, one of the most highly valued startups helping businesses use artificial intelligence, at a valuation north of $4 billion, according to two people with knowledge of the situation. The roughly $200 million funding round more than doubles the share price and private valuation of the New York–based company, one of these people said.

Salesforce is paying a high price for a piece of Hugging Face, which runs a service that helps companies store and use AI software, similar to the way GitHub lets developers store software code. The new funding valued the startup at more than 100 times its annualized revenue, a measure of how much revenue the company would generate over the next 12 months at its current rate, one of the people said.

The report further says 40 percent of workers will need to polish their skills due to the implementation of AI.

Artificial intelligence (AI) won’t replace employees anytime soon. But people who use AI will replace people who don’t, said tech giant IBM in its report, which talks about the implications of AI in businesses.

Companies are rapidly introducing AI into their workings to free up their employees’ time so they can focus on issues that require their personalized attention. The thing about AI is that it will do exactly what you train it to do. So, the hyperboles around the latest technology snatching away people’s jobs and taking over humanity can calm down.