OpenAI announced its latest language model, GPT-4, but many in the AI community were disappointed by the lack of public information. Their complaints track increasing tensions in the AI world over safety.
Yesterday, OpenAI announced GPT-4, its long-awaited next-generation AI language model.
Should AI research be open or closed? Experts disagree.
Earlier this month, when LinkedIn started seeding “AI-powered conversation starters” in people’s news feeds to boost engagement on its platform, the move saw more than little engagement of its own, none of it too positive.
But the truth of the matter with LinkedIn is that it’s been using a lot of AI and other kinds of automation across different aspects of its platform for years, primarily behind the scenes with how it builds and operates its network. Now, with its owner Microsoft going all-in on OpenAI, it looks like it’s becoming a more prominent part of the strategy for LinkedIn on the front end, too — with the latest coming today in the areas of LinkedIn profiles, recruitment and LinkedIn Learning.
The company is today introducing AI-powered writing suggestions, which will initially be offered to people to spruce up their LinkedIn profiles, and to recruiters writing job descriptions. Both are built on advanced GPT models, said Tomer Cohen, LinkedIn’s chief product officer. LinkedIn is using GPT-4 for personalized profiles, with GPT-3.5 for job descriptions. Alongside this, the company is also creating a bigger focus on AI in LinkedIn Learning, corralling 100 courses around the subject and adding 20 more focused just on generative AI.
As we hurtle towards a future filled with artificial intelligence, many commentators are wondering aloud whether we’re moving too fast. The tech giants, the researchers, and the investors all seem to be in a mad dash to develop the most advanced AI. But are they considering the risks, the worriers ask?
The question is not entirely moot, and rest assured that there are hundreds of incisive minds considering the dystopian possibilities — and ways to avoid them. But the fact is that the future is unknown, the implications of this powerful new technology are as unimagined as was social media at the advent of the Internet. There will be good and there will be bad, but there will be powerful artificial intelligence systems in our future and even more powerful AIs in the futures of our grandchildren. It can’t be stopped, but it can be understood.
I spoke about this new technology with Ilya Stutskeve r, a co-founder of OpenAI, the not-for-profit AI research institute whose spinoffs are likely to be among the most profitable entities on earth. My conversation with Ilya was shortly before the release of GPT-4, the latest iteration of OpenAI’s giant AI system, which has consumed billions of words of text — more than any one human could possibly read in a lifetime.
It’s part of a South Korean project to develop one of the largest semiconductor manufacturing hubs in the world.
An investment of $230 billion is expected to be made in the next two decades by Samsung to further semiconductor manufacturing.
The mega cluster, which will feature five new semiconductor plants built by Samsung, will be set in the Gyeonggi Province and is expected to be completed by 2042.
Continue reading “Samsung to invest $230 billion to further semiconductor manufacturing” »
16,000 financial advisors of the bank must be nervous.
Multinational investment management and financial services company Morgan Stanley is deploying a sophisticated chatbot to support the bank’s army of financial advisors powered by the most recent OpenAI technology, according to CNBC
The tool’s goal is to help the bank’s advisors access its data.
Continue reading “ChatGPT for financial advice? Morgan Stanley tries AI” »
Called a Wolf-Rayet, these stars expel most of their outer layers into their surroundings before exploding as supernovae.
NASA’s James Webb Space Telescope has released a phenomenal image of a supernova waiting to happen. Called a Wolf-Rayet, these stars are among the most massive, luminous, and “briefly detectable” stars known. They’re at an advanced stage of stellar evolution and expel most of their outer layers into their surroundings before exploding as supernovae.
Webb had a rare sighting of a Wolf-Rayet star in June 2022. In the latest image, the telescope shows the star, WR 124, in unprecedented detail, thanks to its infrared instruments.
Continue reading “JWST captures a rare star 15,000 light-years away nearing its end” »
Inspired by nature, these soft robots received their amphibious upgrade with the help of bistable actuators.
Researchers at Carnegie Mellon University have created a soft robot that can effortlessly transition from walking to swimming or from crawling to rolling.
“We were inspired by nature to develop a robot that can perform different tasks and adapt to its environment without adding actuators or complexity,” said Dinesh K. Patel, a postdoctoral fellow in the Morphing Matter Lab in the School of Computer Science’s Human-Computer Interaction Institute. “Our bistable actuator is simple, stable and durable, and lays the foundation for future work on dynamic, reconfigurable soft robotics.”
Long-term microgravity exposure causes various biological changes, ranging from bone loss to changes in cardiovascular function.
Towards this, SpaceX’s Dragon cargo ship is set to deliver cardiac tissue chips to the International Space Station (ISS). According to NASA, the cargo spacecraft is expected to autonomously dock with the ISS at 7:52 am EDT Thursday, March 16.
Contrary to common assumption, not all meteorites from the outer solar system contain a lot of water.
Scientists are one step closer to figuring out where Earth’s vast quantities of water come from after disqualifying a class of meteorites drifting around in space since the solar system’s birth 4 1/2 billion years ago, according to a new study published in Nature.
Where did Earth’s water come from?
Continue reading “Where did Earth’s water come from? Not these meteorites, finds new study” »
Scientists have long known that mitochondria play a crucial role in the metabolism and energy production of cancer cells. However, until now, little was known about the relationship between the structural organization of mitochondrial networks and their functional bioenergetic activity at the level of whole tumors.
In a new study, published in Nature, researchers from the UCLA Jonsson Comprehensive Cancer Center used positron emission tomography (PET) in combination with electron microscopy to generate 3-dimensional ultra-resolution maps of mitochondrial networks in lung tumors of genetically engineered mice.
They categorized the tumors based on mitochondrial activity and other factors using an artificial intelligence technique called deep learning, quantifying the mitochondrial architecture across hundreds of cells and thousands of mitochondria throughout the tumor.
