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Blog – Page 1389

1/ OpenAI researchers have proposed a new instruction hierarchy approach to reduce the vulnerability of large language models (LLMs) to prompt injection attacks and jailbreaks.

OpenAI researchers propose an instruction hierarchy for AI language models. It is intended to reduce vulnerability to prompt injection attacks and jailbreaks. Initial results are promising.

Language models (LLMs) are vulnerable to prompt injection attacks and jailbreaks, where attackers replace the model’s original instructions with their own malicious prompts.

OpenAI researchers argue that a key vulnerability is that LLMs often give system prompts from developers the same priority as texts from untrusted users and third parties.

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Xaira has recruited a group of researchers who developed the leading models for protein and antibody design while in Baker’s lab. The company aims advance these models and develop new methods that can “connect the world of biological targets and engineered molecules to the human experience of disease.”

“Driven by growing data sets and new methods, there has been accelerating progress in artificial intelligence and its applications to medicine, biology and chemistry, including seminal work from David Baker’s lab at the Institute for Protein Design,” said Foresight’s Dr Vikram Bajaj. “In starting Xaira, we have brought together incredible multidisciplinary talent and capabilities at the right time to reimagine our entire approach, from drug discovery to clinical development.”

Boasting proficiency in handling vast and multidimensional datasets, Xaira claims it will enable comprehensive characterization of disease biology at various levels, from molecular to clinical. Drawing from Illumina’s functional genomics R&D effort and integrating a key proteomics group from Interline Therapeutics, the company aims to gain new insights into disease mechanisms.

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DNA nanostructures can perform some of the complex robotic fabrication process for manufacturing and self-replication. Building things and performing work with nanorobots has been a major technical and scientific goal. This has been done and published in the peer reviewed journal Science. Nadrian C. “Ned” Seeman (December 16, 1945 – November 16, 2021) was an American nanotechnologist and crystallographer known for inventing the field of DNA nanotechnology. He contributed enough to this work published in 2023 to be listed as a co-author.

Seeman’s laboratory published the synthesis of the first three-dimensional nanoscale object, a cube made of DNA, in 1991. This work won the 1995 Feynman Prize in Nanotechnology. The concept of the dissimilar double DNA crossover introduced by Seeman, was important stepping stone towards the development of DNA origami. The goal of demonstrating designed three-dimensional DNA crystals was achieved by Seeman in 2009, nearly thirty years after his original elucidation of the idea.

The concepts of DNA nanotechnology later found further applications in DNA computing, DNA nanorobotics, and self-assembly of nanoelectronics. He shared the Kavli Prize in Nanoscience 2010 with Donald Eigler for their development of unprecedented methods to control matter on the nanoscale.

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Meta CEO Mark Zuckerberg seemed to take a hit at Apple’s Vision Pro in Meta’s first-quarter earnings call on Wednesday.

Zuckerberg said he didn’t think augmented reality glasses would make it in the mainstream market until it had “full holographic displays.” The comment appears to show his skepticism of the potential success of a product like Apple’s Vision Pro.

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