Lifeboat Foundation

Engineers at Princeton University and Google have come up with a new way to teach robots to know when they don’t know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty — and triggers the robot to ask for clarification.

Because tasks are typically more complex than a simple “pick up a bowl” command, the engineers use large language models (LLMs) — the technology behind tools such as ChatGPT — to gauge uncertainty in complex environments. LLMs are bringing robots powerful capabilities to follow human language, but LLM outputs are still frequently unreliable, said Anirudha Majumdar, an assistant professor of mechanical and aerospace engineering at Princeton and the senior author of a study outlining the new method.

“Blindly following plans generated by an LLM could cause robots to act in an unsafe or untrustworthy manner, and so we need our LLM-based robots to know when they don’t know,” said Majumdar.

What happens when AI surpasses human-level intelligence? And WHEN exactly is this likely to happen?

That’s the focus of the next Metatrend in this Age of Abundance series.

Human-level AI, often referred to as AGI (artificial general intelligence) or ASI (artificial super intelligence), has historically been defined as the ability of a machine program to pass the “Turing Test,” defined as the ability of an AI to perform human-level tasks in a fashion indistinguishable from us humans. This definition is no longer useful.

From mRNA technology to T cell engagers, there were a number of advancements in cancer research in 2023.

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The truck, based on an Aebi VT450 Transporter, featured a 320-horsepower electric drive system with a 90-kilowatt-hour battery.

The Taiwan Semiconductor Manufacturing Company’s (TSMC) advanced product costs could soar and hamper growth in A.I. chip supply.

Observing these types of stars is rare; only one was previously identified. Now, researchers have found a whole population of these stars in the Large and Small Magellanic Clouds, relatively nearby satellite galaxies of the Milky Way. The finding may give insight into hot helium stars, which are thought to be the start of neutron star mergers and hydrogen-poor core-collapse supernovae. The study was published this month in Science.

“Our work sheds light on these fascinating relationships, revealing a universe that is far more interconnected and active than we previously imagined,” says Bethany Ludwig, a PhD candidate at the University of Toronto and coauthor of the study, in a press release. “Just as humans are social beings, stars too, especially the massive ones, are rarely alone.”

COPENHAGEN, Dec 28 (Reuters) — Denmark’s Maersk (MAERSKb. CO) will sail almost all container vessels travelling between Asia and Europe through the Suez Canal from now on while diverting only a handful around Africa, a Reuters breakdown of the group’s schedule showed on Thursday.

Major shipping companies, including container giants Maersk and Hapag-Lloyd (HLAG.DE), stopped using Red Sea routes and the Suez Canal earlier this month after Yemen’s Houthi militant group began targeting vessels, disrupting global trade.

Instead, they rerouted ships around Africa via the Cape of Good Hope to avoid attacks, charging customers extra fees and adding days or weeks to the time it takes to transport goods from Asia to Europe and to the east coast of North America.