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Nuclear Fusion Disasters: Why They’re Not a Major Concern

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Modern atomic energy technologies primarily utilize nuclear fission. In this process, the nuclei of heavy atoms, such as uranium, are bombarded with neutrons, causing them to split apart and release lighter nuclei along with significant energy.

However, a major drawback of fission energy is that the resultant waste is often far more radioactive than the original fuel, with its hazardous nature persisting for extended periods. Moreover, managing the rate of fission reactions is crucial for ensuring safety.

A failure in this context can lead to catastrophic consequences.

An alternative to nuclear fission is fusion energy. In this process, lighter elements, specifically isotopes of hydrogen, merge to form heavier nuclei, releasing substantial energy in the process.

This is the fundamental reaction that powers stars, including our sun.

The byproducts of the fusion reaction are generally safe, primarily producing inert helium, though some mildly radioactive substances are also generated, but they are short-lived. The challenge with fusion energy lies in achieving the conditions required to initiate the reaction.

It necessitates temperatures in the millions of degrees, along with the incorporation of ultra-high-pressure fuel (usually within a magnetic field), which presents significant technical hurdles.

Like any industrial process, there are inherent risks, but the nature of a fusion reactor means that any failure would quickly halt energy production.

As a result, fusion energy “disasters” are considerably less probable than conventional industrial accidents; indeed, they lack the potential for the environmental and ecological crises associated with fission energy meltdowns.

This article responds to the inquiry (made via email by Brandon Harris) regarding “What does a Fusion Energy Disaster look like?”

Feel free to email us with your questions at Question @sciencefocus.com or reach out via Facebook, Twitter or Instagram (please remember to include your name and location).

Explore our ultimate Fun fact page for more fascinating science content.

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Source: www.sciencefocus.com

AI’s Hallucinations Are Intensifying—and They’re Here to Stay

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Errors Tend to Occur with AI-Generated Content

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AI chatbots from tech giants like OpenAI and Google have seen several inference upgrades in recent months. Ideally, these upgrades would lead to more reliable answers, but recent tests indicate that performance may be worse than that of previous models. Errors called “hallucinations,” particularly in the “hagatsuki” category, have been persistent issues that developers have struggled to eliminate.

Hallucination is the broad term used to describe specific errors generated by large-scale language models (LLMs) from organizations like OpenAI’s ChatGPT and Google’s Gemini. It primarily refers to instances where these models present false information as fact, but it can also describe instances where a generated answer is accurate yet irrelevant to the question posed.

A technical report from OpenAI evaluating the latest LLMs revealed that the O3 and O4-MINI models, released in April, exhibit significantly higher hallucination rates compared to earlier O1 models introduced in late 2024. For instance, if O4-MINI had a summary accuracy of 33%, the hallucination rate for O3 was similarly at 33%, whereas the O1 model maintained a rate of only 16%.

This issue is not exclusive to OpenAI. The popular leaderboard showcases various inference models from different companies assessing their hallucination rates, including the DeepSeek-R1 model. This model has shown increased hallucination rates compared to previous versions, undergoing several reasoning steps before reaching a conclusion.

An OpenAI spokesperson stated, “We are actively working to reduce hallucination rates in O3 and O4-MINI. Hallucinations are inherently more common in inference models. We will continue our research across all models to enhance accuracy and reliability.”

Some potential applications of LLMs can be significantly impeded by hallucinations. Models that frequently produce misinformation are unsuitable as research assistants, and a bot stating fictitious legal cases could endanger lawyers. Customer service agents falsely citing obsolete policies can also create significant challenges for businesses.

Initially, AI companies believed they would resolve these issues over time. Historically, models had shown reduced hallucinations with each update, yet the recent spikes in hallucination rates complicate this narrative.

Vectara’s leaderboard ranks models based on their consistency in summarizing documents. This indicates that for systems from OpenAI and Google, “hallucination rates are roughly comparable for inference and irrational models,” as noted by Forest Shen Bao from Vectara. Google has not provided further comments. For leaderboard assessments, the specific rates of hallucinations are less significant than each model’s overall ranking, according to Bao.

However, these rankings may not effectively compare AI models. For one, different types of hallucinations are often conflated. The Vectara team pointed out that the DeepSeek-R1 model demonstrated a 14.3% hallucination rate, but many of these hallucinations were “benign,” being logically deduced yet not appearing in the original text.

Another issue with these rankings is that tests based on text summaries “reveal nothing about the percentage of incorrect output” for tasks where LLMs are applied, as stated by Emily Bender at Washington University. She suggests that leaderboard results don’t provide a comprehensive evaluation of this technology, particularly since LLMs are not solely designed for text summarization.

These models generate answers by repeatedly answering the question, “What is the next word?” to formulate responses, thus not processing information in a traditional sense. However, many technology companies continue to use the term “hallucination” to describe output errors.

“The term ‘hallucination’ is doubly problematic,” says Bender. “On one hand, it implies that false output is abnormal and could potentially be mitigated, while on the other hand, it inaccurately anthropomorphizes the machine since large language models lack awareness.”

Arvind Narayanan from Princeton University argues that the issue extends beyond hallucinations. Models can also produce errors by utilizing unreliable sources or outdated information. Merely increasing training data and computational power may not rectify the problems.

We may have to accept the reality of error-prone AI, as Narayanan mentioned in a recent social media post. In some circumstances, it may be prudent to use such models solely for tasks requiring fact-checking. The best approach might be to avoid relying on AI chatbots for factual information altogether.

Source: www.newscientist.com

Bone Collector Caterpillars: Not Just Playing with Their Food, They’re Wearing It.

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Hawaii is a beautiful tropical paradise and home to terrifying, eerie rawly predators. There is Spiders blocking their prey in the air And it poisons It can extend nearly 15 inches long.

And there is the evolutionary rarity of carnivorous caterpillars. And now, scientists have discovered not only a food for other insects, but also a very hungry caterpillar.

Called The Bone Collector, this scary taste in Caterpillar and Couture was explained in the Journal on Thursday Science. “The behavior was completely unknown,” said Daniel Rubinoff, an entomologist and research author at the University of Hawaii at Manoa. His team initially compared caterpillars to raw crime scenes.

Bone collector’s caterpillar is found only within the six-square miles of a single mountain range on Oahu. So it only exists in co-necks spun by spiders in logs and rock caves. When caterpillars almost slip about the web, they clean dead insects and other arthropods that have been soaked in sticky silk.

According to David Wagner, an entomologist at the University of Connecticut, Caterpillar’s reliance on Spiders presents one of nature’s most unlikely connections, as he was not involved in new research. “It’s amazing how caterpillars tie their fate to spiders. It’s clear and current danger for both caterpillars and moth,” Dr. Wagner said. He only knows one other species that frequently visits spider nets. But the species are vegetarians who snack on plant ingredients caught in the web.

Dr. Rubinoff first encountered the bone collector’s caterpillar in 2008 while examining the inner web of a hollow tree. Caterpillars are extremely rare. Over 150 field studies in the area produced only 62 bone collector specimens.

Scientists determined that bone collectors belong to hyposporoma, a diverse genus of small moth species found only in Hawaii. The larva stage rotates silk protective cases that resemble everything from Kandi wrappers to cigars.

Like hermit crabs, these caterpillars carry their cases before moving before appearing as fully grown moth. Some species decorate mobile homes with wood, algae and shells to blend into the environment.

Bone collector Caterpillar gives an eerie spin on his practice. Using silk, caterpillars weave small pieces of dead insects they encounter on the spider web. Researchers have identified parts from six families of insects attached to caterpillars, including the heads of weevils and the abdomen of beetles. Caterpillar also incorporates fragments of the exoskeleton molted by Arachnid’s neighbors.

Dr. Rubinoff and his colleagues brought some bone collectors back to the lab. They were surprised at how loud the caterpillars were when they were to decorate their lawsuit. “These caterpillars can identify differences in the objects of their environment,” Dr. Rubinov said. The larvae chose to avoid other available debris and harvest only from insect corpses.

But the ruins are not. Caterpillar uses the lower jaw to carefully rotate and investigate future body parts. Something too large will bite you in a more comfortable size.

The caterpillars gathering bones are too noisy about their diet. The team discovered that caterpillars, including one another, eat insect prey that can catch.

But they have to fight against an eight-legged landowner. The team observed bone collector caterpillars that frequently and frequently visit the web of at least four introduced spider species. The team assumes that Caterpillar’s horrifying outfits will help disguise them among insects trapped in the web. Dr. Wagner suspects caterpillars will undermine the appeal of their culinary culinary by disguising them as “a pile of garbage” of objects that the spiders didn’t scarf down.

The bone collector approach appears to be working. Researchers never observed spiders consuming bone collectors or engulfing them in silk.

The team studied bone collector genetics and determined that it was likely that it diverged from other carnivorous hypofluvium caterpillars more than 5 million years ago. This may be millions of years before Oahu emerged from beneath the sea, and the ancestors of bone collectors once lived on other islands.

Bone collector’s current paradise slices may be at risk. Caterpillars have adapted to thrive in nets spun by non-native spider species, but their habitat is threatened by invasive ants and parasitic wasps. According to Dr. Rubinoff, conservation attention is desperately needed to save endemic arthropods in Hawaii.

Source: www.nytimes.com