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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.
Today’s guest, Jan Leike, is Head of Alignment at OpenAI and will be co-leading the project. As OpenAI puts it, “…the vast power of superintelligence could be very dangerous, and lead to the disempowerment of humanity or even human extinction. … Currently, we don’t have a solution for steering or controlling a potentially superintelligent AI, and preventing it from going rogue.”
Given that OpenAI is in the business of developing superintelligent AI, it sees that as a scary problem that urgently has to be fixed. So it’s not just throwing compute at the problem — it’s also hiring dozens of scientists and engineers to build out the Superalignment team.
Plenty of people are pessimistic that this can be done at all, let alone in four years. But Jan is guardedly optimistic. As he explains:
Honestly, it really feels like we have a real angle of attack on the problem that we can actually iterate on… and I think it’s pretty likely going to work, actually. And that’s really, really wild, and it’s really exciting. It’s like we have this hard problem that we’ve been talking about for years and years and years, and now we have a real shot at actually solving it. And that’d be so good if we did.
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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)
KTLA 5 News — Keeping Southern Californians informed since 1947.
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.
If you use these videos for sleeping, check out the Sleeping Space Playlist! It’s a collection of my most chilled out and audible videos, suitable for shuffling.
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.
Do Large Language Models really “understand” the world, or just give the appearance of understanding? Evidence (e.g., Othello-GPT) shows LLMs build models of how the world works, which makes me comfortable saying they do understand. More in The Batch: https://t.co/e0JGU2wUbf
She uses Chat GPT to write computer code but says the applications are endless. “You need to cut what is not working in your company, go to the edges and start playing with this (AI) and see where it’s going to go. Because they’re predicting you either get on the AI train or you will be out of business in 10 years.”
CEO of the KR Digital Agency Kendra Ramirez says businesses can use AI to do work they don’t want to. “HR: who likes writing job descriptions? Anyone? No, no one. Performance reviews: One gentleman, his team, he had 50 people he had to do quarterly performance reviews.”
