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Human memory has been shown to be highly fallible in recent years, but a new study on short term memory recall indicates that we can get details wrong within seconds of an event happening.

It has long been shown that human memory is highly fallible, with even ancient legal codes requiring more than one witness to corroborate accounts of a crime or events, but a new study reveals that people can create false memories within a second of the event being recalled.

The study, published this week in PLOS One, had hundreds of volunteers over the course of four experiments look at a sequence of letters and asked them to recall a single highlighted letter that they had been shown. In addition, some of the highlighted letters were reversed, meaning the respondent needed to recall that as well.

The amazing.

But maybe the future of these models is more focused than the boil-the-ocean approach we’ve seen from OpenAI and others, who want to be able to answer every question under the sun.

The amazing abilities of OpenAI’s ChatGPT wouldn’t be possible without large language models. These models are trained on billions, sometimes trillions of examples of text. The idea behind ChatGPT is to understand language so well, it can anticipate what word plausibly comes next in a split second. That takes a ton of training, compute resources and developer savvy to make happen.

Continue reading “Generative AI’s future in enterprise could be smaller, more focused language models” »

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Continue reading “AGI Unleashed: Game Theory, Byzantine Generals, and the Heuristic Imperatives” »

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Continue reading “Post-Singularity Predictions — How will our lives, corporations, and nations adapt to AI revolution?” »

The latest breakthroughs in artificial intelligence could lead to the automation of a quarter of the work done in the US and eurozone, according to research by Goldman Sachs.

The investment bank said on Monday that “generative” AI systems such as ChatGPT, which can create content that is indistinguishable from human output, could spark a productivity boom that would eventually raise annual global gross domestic product by 7 percent over a 10-year period.

But if the technology lived up to its promise, it would also bring “significant disruption” to the labor market, exposing the equivalent of 300 million full-time workers across big economies to automation, according to Joseph Briggs and Devesh Kodnani, the paper’s authors. Lawyers and administrative staff would be among those at greatest risk of becoming redundant.

A Florida woman is suing an eye drop manufacture claiming that its product — which has been linked to a deadly bacteria outbreak — made her legally blind.

Sixty-eight-year-old Clara Elvira Oliva is taking legal action against Global Pharma Healthcare after suffering such a severe infection from using its EzriCare Artificial Tears that she had to have her eye removed, according to court documents.

Oliva’s right eye was removed and replaced with a plastic implant in September 2022 to control a “severe antibiotic resistant infection,” according to the lawsuit filed earlier this month in Federal court in Miami, Florida.

A new class of dynamical instabilities generated by a stable photonic lattice Hamiltonian and stable dissipative pairing interaction is sensitive to wavefunction localization and allows selective excitation and entanglement of pure topological photonic edge states with minimal resources.

For the first time, scientists at the University of Sydney.

The University of Sydney is a public research university located in Sydney, New South Wales, Australia. Founded in 1,850, it is the oldest university in Australia and is consistently ranked among the top universities in the world. The University of Sydney has a strong focus on research and offers a wide range of undergraduate and postgraduate programs across a variety of disciplines, including arts, business, engineering, law, medicine, and science.

(NewsNation) — The world’s first “robot lawyer” is facing a new obstacle: a lawsuit from Chicago-based law firm Edelson PC.

Joshua Browder’s brainchild “DoNotPay” is at the center of the suit. The app uses artificial intelligence and claims it can “fight corporations, beat bureaucracy and sue anyone at the press of a button.”

This time around, Browder says it will be his turn to fight in court. In a proposed class action, Edelson said “DoNotPay” is “not actually a robot, a lawyer, nor a law firm” and claimed their client Jonathan Faridian used the app but received “substandard and poorly done” results.