The moon is a harsh mistress.
“Music video by ELO;Electric Light Orchestra performing Ticket To The Moon. © 1981 Sony Music Entertainment”
The data surfaced online about two weeks ago and involve customer information from 2019 or earlier. There was no impact on operations, the company says.
Demis Hassabis, CEO and one of three founders of Google’s artificial intelligence (AI) subsidiary DeepMind, has been awarded a knighthood in the U.K. for “services to artificial intelligence.”
Ian Hogarth, chair of the U.K. government’s recently launched AI Safety Institute and previously founder of music startup Songkick, was awarded Commander of the Order of the British Empire (CBE) for services to AI; as was Matt Clifford, AI adviser to the U.K. government and co-founder of super–early-stage investor Entrepreneur First.
Artificial intelligence (AI) has introduced a dynamic shift in various sectors, most notably by deploying autonomous agents capable of independent operation and decision-making. These agents, powered by large language models (LLMs), have significantly broadened the scope of tasks that can be automated, ranging from simple data processing to complex problem-solving scenarios. However, as the capabilities of these agents expand, so do the challenges associated with their deployment and integration.
Within this evolving landscape, a major hurdle has been the efficient management of LLM-based agents. The primary issues revolve around allocating computational resources, maintaining interaction context, and integrating agents with varying capabilities and functions. Traditional approaches often lead to bottlenecks and underutilization of resources, undermining these intelligent systems’ potential efficiency and effectiveness.
A research team from Rutgers University has developed the AIOS (Agent-Integrated Operating System), a pioneering LLM agent operating system designed to streamline the deployment and operation of LLM-based agents. This system is engineered to enhance resource allocation, enable the concurrent execution of multiple agents, and maintain a coherent context throughout agent interactions, optimizing agent operations’ overall performance and efficiency.
Generative models for chemical structures are often trained to create output in the common SMILES notation. Michael Skinnider shows that training models with the goal of avoiding the generation of incorrect SMILES strings is detrimental to learning other chemical properties and that allowing models to generate incorrect molecules, which can be easily removed post hoc, leads to better performing models.
Ever wonder where all the active supermassive black holes are in the universe? Now, with the largest quasar catalog yet, you can see the locations of 1.3 million quasars in 3D.
The catalog, Quaia, can be accessed here.
“This quasar catalog is a great example of how productive astronomical projects are,” says David Hogg, study co-author and computational astrophysicist at the Flatiron Institute, in a press release. “Gaia was designed to measure stars in our galaxy, but it also found millions of quasars at the same time, which give us a map of the entire universe.” By mapping and seeing where quasars are across the universe, astrophysicists can learn more about how the universe evolved, insights into how supermassive black holes grow, and even how dark matter clumps together around galaxies. Researchers published the study this week in The Astrophysical Journal.
Race Speeds Up. Wallets open up. Agi 2025–2029.
Amazon is reportedly planning to spend a whopping $150 billion within the next 15 years on building data centers — a move that will position the tech giant to be able to handle an expected explosion with artificial intelligence applications and other digital services.
The spending spree, earlier reported on by Bloomberg, will also allow Amazon to maintain its top spot in the cloud services market, where it holds roughly twice the share of No. 2 player Microsoft.
Is anything ever normal in the AI industry?
A doozy of a scoop by the newsletter Nongaap Investing and extensively followed up by Business Insider certainly makes us wonder. The gist is that for a period of time in 2023, the person in charge of OpenAI’s $175 million startup fund appears to have been completely fake — and OpenAI says the documents filed with the California Secretary of State to put the fake person in charge were “completely fabricated.”
Head spinning yet? Us too. OpenAI is almost certainly the hottest startup on the planet right now, and it sounds like someone pulled an extrardinary fast one on it, with unclear goals. And lest you think this is some unimportant position, the person now running the fund is none other than OpenAI’s mercurial CEO, Sam Altman.
Medical implants such as pacemakers and gastric stimulators have improved our lives, but the batteries in these devices eventually run out and require surgery to replace them.
It raises a futuristic question: what if there was a way to avoid cutting a patient’s body open to replace a battery?
A team of Chinese scientists have come up with a possible method to pull that off by developing an implantable battery that uses oxygen already inside the human body to continuously power itself up.
