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A.I. systems like ChatGPT, Bing, and Bard are here to stay

Generative A.I., the kind of software that powers OpenAI’s ChatGPT, Microsoft’s (MSFT) Bing, and Google’s (GOOG, GOOGL) Bard, is all the rage. But the explosion in generative A.I., so named because it generates “new” content based on information it pulls from the web, is facing increasing scrutiny from consumers and experts.

Fears that the software could be used to help students cheat on tests and provide inaccurate, bizarre responses to users’ queries are drawing questions about the platforms’ accuracy and capabilities. And some are wondering if the products have been released too early for their own good.

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Today’s news from the frontier of quantum computing includes Amazon Web Services’ release of cloud-based simulation software for modeling the electromagnetic properties of quantum hardware, Google’s latest technological advance aimed at lowering the error rate of quantum calculations, and new recommendations about the public sector’s role on the frontier.

Amazon opens a ‘Palace’ for designers

Amazon Web Services is introducing an open-source software platform called Palace (which stands for Pa rallel, La rge-Scale Computational Electromagnetics) that can perform 3D simulations of complex electromagnetic models and enable the design of quantum computing hardware. The code is available via GitHub and can be used in conjunction with AWS ParallelCluster.

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Apple has reportedly secured all available orders for N3, TSMC’s first-generation 3-nanometer process that is likely to be used in the upcoming iPhone 15 Pro lineup as well as new MacBooks scheduled for launch in the second half of 2023.

According to a paywalled DigiTimes report, Apple has procured 100% of the initial N3 supply, which is said to have a high yield, despite the higher costs involved and the decline in the foundry’s utilization rate in the first half of 2023. Mass production of TSMC’s 3nm process began in late December, and the foundry has scaled up process capacity at a gradual pace with monthly output set to reach 45,000 wafers in March, according to the report’s sources.

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ATP, the compound essential for the functioning of photosynthetic organisms such as plants, algae, and cyanobacteria, is produced by an enzyme called “chloroplast ATP synthase” (CFoCF1). To control ATP production under varying light conditions, the enzyme uses a redox regulatory mechanism that modifies the ATP synthesis activity in response to changes in the redox state of cysteine (Cys) residues, which exist as dithiols under reducing (light) conditions, but forms a disulfide bond under oxidizing (dark) conditions. However, this mechanism has not yet been fully understood.

Now, in a study published in the Proceedings of the National Academy of Sciences, a team of researchers from Japan led by Prof. Toru Hisabori from Tokyo Institute of Technology (Tokyo Tech) has uncovered the role of the amino acid sequences present in CFoCF1, revealing how the regulates ATP production in photosynthetic organisms.

To understand how the conformation of the present in CFoCF1 contributes to the regulation mechanism, the researchers used the unicellular green alga, Chlamydomonas reinhardtii, to produce the enzyme. “By leveraging the powerful genetics of Chlamydomonas reinhardtii as a for photosynthesis, we conducted a comprehensive biochemical analysis of the CFoCF1 molecule,” explains Prof. Hisabori.

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Researchers at the Department of Energy’s SLAC National Accelerator Laboratory and Stanford University have created a new type of quantum material whose atomic scaffolding, or lattice, has been dramatically warped into a herringbone pattern.

The resulting distortions are “huge” compared to those achieved in other materials, said Woo Jin Kim, a postdoctoral researcher at the Stanford Institute for Materials and Energy Sciences (SIMES) at SLAC who led the study.

“This is a very fundamental result, so it’s hard to make predictions about what may or may not come out of it, but the possibilities are exciting,” said SLAC/Stanford Professor and SIMES Director Harold Hwang.

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OpenAI is quietly launching a new developer platform that lets customers run the company’s newer machine learning models, like GPT-3.5, on dedicated capacity. In screenshots of documentation published to Twitter by users with early access, OpenAI describes the forthcoming offering, called Foundry, as “designed for cutting-edge customers running larger workloads.”

“[Foundry allows] inference at scale with full control over the model configuration and performance profile,” the documentation reads. We’ve reached out to OpenAI to confirm the veracity.

If the screenshots are to be believed, Foundry — whenever it launches — will deliver a “static allocation” of compute capacity (perhaps on Azure, OpenAI’s preferred public cloud platform) dedicated to a single customer. Users will be able to monitor specific instances with the same tools and dashboards that OpenAI uses to build and optimize models. In addition, Foundry will provide some level of version control, letting customers decide whether or not to upgrade to newer model releases, as well as “more robust” fine-tuning for OpenAI’s latest models.

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Nuclear power is one of the safest, cleanest forms of energy — yet to most people, it might not feel that way. Why is that? Isabelle Boemeke, the world’s first nuclear energy influencer and creator of the social media persona Isodope, deftly debunks the major objections to nuclear power and explains her unconventional way of educating people about this clean energy source.

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