Researchers develop cutting-edge therapy that targets Candida albicans while preserving vaginal microbiota | Drug Discovery And Development.
It’s been living up to that removal lately. At its annual I/O in San Francisco this week, the search giant finally lifted the lid on its vision for AI-integrated search — and that vision, apparently, involves cutting digital publishers off at the knees.
Google’s new AI-powered search interface, dubbed “Search Generative Experience,” or SGE for short, involves a feature called “AI Snapshot.” Basically, it’s an enormous top-of-the-page summarization feature. Ask, for example, “why is sourdough bread still so popular?” — one of the examples that Google used in their presentation — and, before you get to the blue links that we’re all familiar with, Google will provide you with a large language model (LLM)-generated summary. Or, we guess, snapshot.
“Google’s normal search results load almost immediately,” The Verge’s David Pierce explains. “Above them, a rectangular orange section pulses and glows and shows the phrase ‘Generative AI is experimental.’ A few seconds later, the glowing is replaced by an AI-generated summary: a few paragraphs detailing how good sourdough tastes, the upsides of its prebiotic abilities, and more.”
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Whenever we open a new window on the universe, we discover things that no one expected. Our newfound ability to measure ripples in the fabric of spacetime—gravitational waves—is a very new window, and so far we’ve seen a lot of wild stuff. We’ve observed black holes colliding, and their oddly high masses challenges our understanding of black hole formation and growth. We’ve seen colliding neutron stars that have forced us to rewrite our ideas of how many of the elements of the periodic table get made. But what else might be hiding in the ripples’ of spacetime? Oh, I know: how about the gravitational wakes caused by planet-sized alien spacecraft accelerating to near light speed.
Episode Companion Playlist:
In this Video I discuss if future of AI is in open-source.
The Leaked Document: https://www.semianalysis.com/p/google-we-have-no-moat-and-neither.
The Book: When The Heavens Went on Sale: https://amzn.to/3Il3rNF
Vicuna Chatbot: https://chat.lmsys.org.
00:00 — Google Has No Moat.
02:01 — A Brief History of Open-Source AI
04:03 — Is Future Open Source?
05:52 — Risks of Open Source.
07:41 — Linux is a good example.
08:54 — Soon OpenAI won’t matter.
10:14 — Giveaway.
Support me at Patreon: https://www.patreon.com/AnastasiInTech.
The company hasn’t really put a date for their actual deployment in its own factories.
Elon Musk’s electric car to solar-making company, Tesla, also has one more product in the pipeline aimed at wooing customers, The Tesla Bot. Musk announced the bipedal robot in 2021, and recently the company has provided an update on its progress through a 65-second video.
Regarding bipedal robots, the benchmark is relatively high, with Boston Dynamics’ Atlas capable of doing flips and somersaults. Musk, however, never said that Tesla was looking to entertain people with its robots’ antics.
A robot is just a tool, the real star is the AI control system.
At five feet seven inches (57’) and 155 pounds (70 kg), Phoenix, the humanoid robot, is just about the height of an average human. What it aims to do is also something that humans can casually do, general tasks in an environment, and that is a tough ask from a robot.
While humanoid assistants have been familiar with most science-fiction stories, translating them to the real world has been challenging. Companies like Tesla have been looking to make them part of households for a few years, but robots have always been good at doing specific tasks.
The move is a significant development in the world of artificial intelligence.
In what seems like a response to the growing competition in the open-source large language model (LLM) space, OpenAI will soon release a new open-source AI model to the public, reported The Information.
OpenAI hasn’t come up with an open-source model since 2019, and although the news is exciting, it might not be as sophisticated or in direct competition with its proprietary model GPT.
A team of researchers give a spin to Tetris, and make observations as people play the game.
We live in a world run by machines. They make important decisions for us, like who to hire, who gets approved for a loan, or recommending user content on social media. Machines and computer programs have an increasing influence over our lives, now more than ever, with artificial intelligence (AI) making inroads in our lives in new ways. And this influence goes far beyond the person directly interacting with machines.
A Cornell University-led experiment in which two people play a modified version of Tetris revealed that players who get fewer turns perceived the other player as less likable, regardless of whether a person or an algorithm allocated the turns.
In a wide-ranging and historic congressional hearing Tuesday, the creator of the world’s most powerful artificial intelligence called on the government to regulate his industry.
“There should be limits on what a deployed model is capable of and then what it actually does,” declared Sam Altman, CEO and cofounder of OpenAI, referring to the underlying AI which powers such products as ChatGPT.
He called on Congress to establish a new agency to license large-scale AI efforts, create safety standards, and carry out independent audits to ensure compliance with safety thresholds.
The hearing, run by Sen.
The theory of relativity works well when you want to explain cosmic-scale phenomena—such as the gravitational waves created when black holes collide. Quantum theory works well when describing particle-scale phenomena—such as the behavior of individual electrons in an atom. But combining the two in a completely satisfactory way has yet to be achieved. The search for a “quantum theory of gravity” is considered one of the significant unsolved tasks of science.
This is partly because the mathematics in this field is highly complicated. At the same time, it is tough to perform suitable experiments: One would have to create situations in which phenomena of both the relativity theory play an important role, for example, a spacetime curved by heavy masses, and at the same time, quantum effects become visible, for example the dual particle and wave nature of light.
At the TU Wien in Vienna, Austria, a new approach has now been developed for this purpose: A so-called “quantum simulator” is used to get to the bottom of such questions: Instead of directly investigating the system of interest (namely quantum particles in curved spacetime), one creates a “model system” from which one can then learn something about the system of actual interest by analogy. The researchers have now shown that this quantum simulator works excellently.