Living Systems Might Require a Fourth Law of Thermodynamics

HeLa Cell in Telophase with Separated Chromosomes

Dr. Matthew Daniels/Science Photo Library

The principles of thermodynamics, particularly aspects like heat and entropy, provide valuable methods for assessing how far a system of ideal particles is from achieving equilibrium. Nevertheless, it’s uncertain if the existing thermodynamic laws adequately apply to living organisms, whose cells are complexly intertwined. Recent experiments involving human cells might pave the way for the formulation of new principles.

Thermodynamics plays a crucial role in living beings, as their deviations from equilibrium are critical characteristics. Cells, filled with energetic molecules, behave differently than simple structures like beads in a liquid. For instance, living cells maintain a “set point,” operating like an internal thermostat with feedback mechanisms that adjust to keep functions within optimal ranges. Such behaviors may not be effectively described by classical thermodynamics.

N. Narinder and Elisabeth Fischer-Friedrich from the Technical University of Dresden aimed to comprehend how the disequilibrium in living systems diverges from that in non-living ones. They carried out their research using HeLa cells, a line of cancer cells derived from Henrietta Lacks in the 1950s without her consent.

Initially, the scientists employed chemicals to halt cell division, then analyzed the outer membranes of the cells using an atomic force microscope. This highly precise instrument can engage with structures just nanometers in size, enabling researchers to measure how much the membranes fluctuated and how these variations were affected by interference with cell processes, such as hindering the development of certain molecules or the movement of proteins.

The findings showed that conventional thermodynamic models used for non-living systems did not fully apply to living cells. Notably, the concept of “effective temperature” was found to be misleading, as it fails to account for the unique behaviors of living systems.

Instead, the researchers emphasized the significance of “time reversal asymmetry.” This concept examines how the distinctions in biological events (like molecules repeatedly joining to form larger structures only to break apart again) differ when observed forwards versus backwards in time. These asymmetries are directly linked to the functional purposes of biological processes, such as survival and reproduction, according to Fischer-Friedrich.

“In biology, numerous processes are reliant on a system being out of equilibrium. Understanding how far the system deviates is crucial,” states Chase Brodersz from Vrije Universiteit Amsterdam. Recent findings have unveiled a promising new metric for assessing this deviation.

This development marks a significant stride toward enhancing our knowledge of active biological systems, as observed by Yair Shokev at Tel Aviv University. He notes the novelty and utility of the team successfully measuring time-reversal asymmetry alongside other indicators of non-equilibrium simultaneously.

However, to understand life through the lens of thermodynamic principles, further advancements are necessary. Fischer-Friedrich and her team aspire to formulate a concept akin to the fourth law of thermodynamics, specifically applicable to organisms with defined processes. They are actively investigating physiological observables—key parameters measurable within cells—from which such laws could potentially be derived.

Topic:

Source: www.newscientist.com

Quantum Computers Require Classical Computing for Real-World Applications

Quantum Machine Professor Jonathan Cohen presenting at the AQC25 conference

Quantum Machines

Classical computers are emerging as a critical component in maximizing the functionality of quantum computers. This was a key takeaway from this month’s assembly of researchers who emphasized that classical systems are vital for managing quantum computers, interpreting their outputs, and enhancing future quantum computing methodologies.

Quantum computers operate on qubits—quantum entities manifesting as extremely cold atoms or miniature superconducting circuits. The computational capability of a quantum computer scales with the number of qubits it possesses.

Yet, qubits are delicate and necessitate meticulous tuning, oversight, and governance. Should these conditions not be met, the computations conducted may yield inaccuracies, rendering the devices less efficient. To manage qubits effectively, researchers utilize classical computing methods. The AQC25 conference held on November 14th in Boston, Massachusetts, addressed these challenges.

Sponsored by Quantum Machines, a company specializing in controllers for various qubit types, the AQC25 conference gathered over 150 experts, including quantum computing scholars and CEOs from AI startups. Through numerous presentations, attendees elaborated on the enabling technologies vital for the future of quantum computing and how classical computing sometimes acts as a constraint.

Per Shane Caldwell, sustainable fault-tolerant quantum computers designed to tackle practical problems are only expected to materialize with a robust classical computing framework that operates at petascale—similar to today’s leading supercomputers. Although Nvidia does not produce quantum hardware, it has recently introduced a system that links quantum processors (QPUs) to traditional GPUs, which are commonly employed in machine learning and high-performance scientific computing.

Even in optimal operations, the results from a quantum computer reflect a series of quantum properties of the qubits. To utilize this data effectively, it requires translation into conventional formats, a process that again relies on classical computing resources.

Pooya Lonar from Vancouver-based startup 1Qbit discussed this translation process and its implications, noting that the performance speed of fault-tolerant quantum computers can often hinge on the operational efficiency of classical components such as controllers and decoders. This means that whether a sophisticated quantum machine operates for hours or days to solve a problem might depend significantly on its classical components.

In another presentation, Benjamin Lienhardt from the Walter Meissner Institute for Cryogenic Research in Germany, presented findings on how traditional machine learning algorithms can facilitate the interpretation of quantum states in superconducting qubits. Similarly, Mark Saffman from the University of Wisconsin-Madison highlighted using classical neural networks to enhance the readout of qubits derived from ultra-cold atoms. Researchers unanimously agreed that non-quantum devices are instrumental in unlocking the potential of various qubit types.

IBM’s Blake Johnson shared insights into a classical decoder his team is developing as part of an ambitious plan to create a quantum supercomputer by 2029. This endeavor will employ unconventional error correction strategies, making the efficient decoding process a significant hurdle.

“As we progress, the trend will shift increasingly towards classical [computing]. The closer one approaches the QPU, the more you can optimize your system’s overall performance,” stated Jonathan Cohen from Quantum Machines.

Classical computing is also instrumental in assessing the design and functionality of future quantum systems. For instance, Izhar Medalcy, co-founder of the startup Quantum Elements, discussed how an AI-powered virtual model of a quantum computer, often referred to as a “digital twin,” can inform actual hardware design decisions.

Representatives from the Quantum Scaling Alliance, co-led by 2025 Nobel Laureate John Martinis, were also present at the conference. This reflects the importance of collaboration between quantum and classical computing realms, bringing together qubit developers, traditional computing giants like Hewlett Packard Enterprise, and computational materials specialists such as the software company Synopsys.

The collective sentiment at the conference was unmistakable. The future of quantum computing is on the horizon, bolstered significantly by experts who have excelled in classical computing environments.

Topics:

  • Computing/
  • Quantum Computing

Source: www.newscientist.com

Does Elon Musk’s New Political Party Require Its Own Donald Trump? | Technology

Greetings and welcome to TechScape! In this week’s Technology News, Elon Musk and Donald Trump are reigniting their battle against the president’s extensive tax bill and the looming prospect of forming a third party for Tesla’s top executives. The effectiveness of the wealthiest individuals’ endeavors heavily relies on their ability to enlist other prominent politicians. Additionally, we’re curious to know if you employ generative artificial intelligence for crafting personal messages. Reach out via tech.editorial@theguardian.com and share your thoughts with us.

<h2 id="elon-musk-needs-another-donald-trump" class="dcr-12ibh7f">Elon Musk requires another Donald Trump</h2>

<p class="dcr-16w5gq9">The rivalry between Elon Musk and Donald Trump has been revived following the passage of the president's significant tax legislation on July 3rd. Musk has been vocal (via Twitter) in expressing his opposition to the "hatred" embodied in the law for weeks, yet it was approved. The discord surrounding the bill triggered their first separation back in early June.</p>

<p class="dcr-16w5gq9">Musk is now contemplating the establishment of a new centrist party, indicating he might pursue his ultimatum to form an "American Party." Trump's response highlighted the absurdity of this idea, labeling it a "train wreck" through a lengthy post on True Social, emphasizing that third parties have historically failed in the United States. Following this news, Tesla's stock prices experienced a significant drop.</p>

<p class="dcr-16w5gq9">What exactly would the proposed American Party accomplish apart from antagonizing Democrats and Republicans? Perhaps it aims to target the key Republicans who supported the bill.</p>

<p class="dcr-16w5gq9">From my colleague Ramon Antonio Vargas:</p>

<p class="dcr-16w5gq9"><em>The new party Musk intends to fund could focus on a limited number of achievable House and Senate seats while aiming to make a decisive vote on crucial issues in Congress's narrow margins. Musk tweeted that his strategy to meet his political aspirations is to "concentrate laser-like on just two or three Senate seats and around eight to ten House districts."</em></p>

<p class="dcr-16w5gq9">Could Musk himself run for office? It's doubtful. While he has stated a desire to refocus on his various companies, his recent tweets suggest otherwise. All Musk needs to bring his party idea to fruition is Donald Trump—an iconic figure who matches his financial prowess.</p>

<blockquote data-spacefinder-role="inline" class="dcr-154zxly">
    <p><svg viewbox="0 0 22 14" style="fill:var(--block-quote-fill)" class="dcr-scql1j"><path d="M5.255 0h4.75c-.572 4.53-1.077 8.972-1.297 13.941H0C.792 9.104 2.44 4.53 5.255 0Zm11.061 0H21c-.506 4.53-1.077 8.972-1.297 13.941h-8.686c.902-4.837 2.485-9.411 5.3-13.941Z"/></svg>His role in politics resembles that of an ATM.</p>
</blockquote>

<p class="dcr-16w5gq9">The Wisconsin Supreme Court election in early April revealed Musk's lack of personal popularity. After making a public appearance and donating a million dollars, he witnessed his favored candidate lose against the odds. His function in politics is akin to that of ATMs. Despite being the world's richest individual, Tesla's market valuation has been challenged since he was active in Washington.</p>

<p class="dcr-16w5gq9">Since Musk himself is an ineffective voter, the success of his new party hangs on the presence of a compelling star, similar to another significant Trump. He requires a conduit to direct his donations toward an engaging and effective campaign.</p>

<p class="dcr-16w5gq9">So far, there seems to be no such individual. Trump's stronghold on the Republican Party is solidified, and he orchestrates rapid and harsh retaliation against disloyal figures, including Musk. There's a substantial risk in fleeing from Trump's party to partake in Musk's unusual centrist venture. The only group eager to witness the formation of a new party comprises X's chaos-loving supporters, who have urged Musk to act decisively in last week’s polling. However, if any of them seek office, it’s likely they simply desire the most bizarre turn of events for our shared destiny.</p>

<p class="dcr-16w5gq9">Noteworthy and coincidental timing: OpenAI CEO Sam Altman expressed feeling "politically homeless" this weekend, echoing Musk's own sentiments regarding his political stance. These two Silicon Valley influencers harbor mutual animosity, evident from Musk's extended legal skirmishes aimed at halting the shift of OpenAI from a nonprofit model to a profit-driven enterprise. Nonetheless, despite their conflict, they both articulated a similar notion.</p>

<p class="dcr-16w5gq9">Musk and Altman embody entirely different public personas. While Musk is boisterous online, Altman is more reserved. As Musk gravitates toward right-wing politics, Altman attempts to straddle both sides of the aisle. However, the alignment of their emotions indicates why these two collaborated in 2015 to establish OpenAI.</p>

<h2 id="do-you-use-ai-to-write-your-texts" class="dcr-12ibh7f">Do you utilize AI for composing messages?</h2>

<figure id="479f5cbe-be80-403d-9d65-22049ff16d01" data-spacefinder-role="inline" data-spacefinder-type="model.dotcomrendering.pageElements.ImageBlockElement" class="dcr-173mewl">
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</figure>

<p class="dcr-16w5gq9">Recently, we featured articles spotlighting individuals who leverage generative artificial intelligence to craft personal messages. AI is becoming more prevalent in the workplace, promising increased productivity. Yet as we become more at ease in professional settings, it is also infiltrating our personal lives.</p>

<p class="dcr-16w5gq9">My colleague Adrienne Matei reports:</p>

<p class="dcr-16w5gq9"><em>Earlier this spring, Nick Wasseff learned of the passing of a high school friend's mother. Wasseff, a 32-year-old tech entrepreneur based in Vancouver, Canada, used Claude AI, a chatbot designed for human interaction.</em></p>

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<p class="dcr-16w5gq9"><em>Claude assisted Wasseff in composing the notes, facilitating an open dialogue among his friends concerning their collective grief. However, Wasseff never disclosed AI's involvement, which he concedes.</em></p>

<p class="dcr-16w5gq9"><em>According to a study conducted in 2023, 208 adults received "thoughtful" notes from friends. The researcher noted that those who were informed the notes were crafted with AI felt "more uncertain about their relationships" when they learned about the AI's involvement.</em></p>

<p class="dcr-16w5gq9"><em>Using AI for personal correspondences is a gamble. The first risk is that the recipient might not realize, and the second is that they may be indifferent. Nonetheless, a conversation is underway regarding the merits of taking such risks and whether the AI input in personal messaging can be considered beneficial.</em></p>

<p class="dcr-16w5gq9"><strong>Read the full story here.</strong></p>

<p class="dcr-16w5gq9">Now you can effortlessly elevate your messages at the snap of your fingers. Does AI facilitate clearer communication of our intentions and dismantle the barriers to writing that hinder emotional expression? Or does it impede our relationships, as we avoid the emotional labor of drafting our own messages? Does AI enable connection without genuine effort?</p>

<p class="dcr-16w5gq9">The benefits and drawbacks are undeniable, with some scenarios appearing more suitable than others. Perhaps certain people wouldn't have sent a birthday card if they hadn’t had a personalized message readily available. One author from the <a href="https://www.theatlantic.com/technology/archive/2025/07/google-drive-personalized-chatbot/683436/" data-link-name="in body link">Atlantic</a> was taken aback when Google's Gemini, equipped with access to her conversations, generated a warm and specific birthday card that referenced genuine moments from her friendship. It's possible that they might have left someone without a personal touch had it not been for a mechanical speechwriter. All the variations in reception depend on the context of your decision to employ AI for writing.</p>

<p class="dcr-16w5gq9">We would love to hear from you. AI is impacting our personal moments and connectivity, as well as our professional interactions, and we want to learn about the situations you believe are most appropriate.</p>

<p class="dcr-16w5gq9">***<br/><strong>Do you use generative AI to craft personal communications?</strong></p>

<p class="dcr-16w5gq9">If you do, please reach out to tech.editorial@theguardian.com and share how and how often you utilize AI. Has it enhanced your relationships or complicated them further?</p>

<h2 id="the-wider-techscape" class="dcr-12ibh7f">Broader Technology Landscape</h2>

Source: www.theguardian.com

UNESCO Warns that Online Influencers Require Immediate Fact-Checking Training on Social Media

UNESCO has issued a warning that social media influencers urgently need help in fact-checking before sharing information with their followers to prevent the spread of misinformation online.

A report by UNESCO revealed that two-thirds of content creators fail to verify the accuracy of their material, leaving both them and their followers susceptible to misinformation.


The report emphasized the importance of media and literacy education to assist influencers in shaping their work based on accurate information.

Creators’ susceptibility to misinformation due to low fact-checking practices can have significant implications for public discourse and trust in the media, according to UNESCO.

While many creators do not verify information before sharing it, they often rely on personal experiences, research, and conversations with knowledgeable individuals as their primary sources.

UNESCO’s study revealed that the popularity of online sources, measured by likes and views, plays a significant role in creators’ trust, highlighting the need for improved media literacy skills.

To address this issue, UNESCO is collaborating with the Knight Center for Journalism of the Americas to offer an online course on becoming a trusted voice online, focusing on fact-checking and creating content during elections or crises.

Media literacy expert Adeline Hulin noted that many influencers do not perceive their work as journalism, highlighting the need for a deeper understanding of journalistic practices and their impact.

Additionally, UNESCO’s findings indicated a lack of awareness among creators regarding legal regulations, with only half of them disclosing sponsors and funding sources to their audience, as required in some countries.

The survey, involving 500 content creators from various countries, revealed that most influencers are nano-influencers under 35 years old, primarily using Instagram and Facebook, with up to 100,000 followers.

Source: www.theguardian.com

Is it possible to legally require AI chatbots to tell the truth?

AI chatbots are being rapidly adopted for a wide range of functions

Andriy Onufrienko/Getty Images

Can we get artificial intelligence to tell the truth? Probably not, but developers of large language model (LLM) chatbots should be legally required to reduce the risk of error, say a team of ethicists.

“What we’re trying to do is create an incentive structure that makes companies place a higher premium on truth and accuracy when building their systems,” he said. Brent Mittelstadt At Oxford University.

LLM chatbots such as ChatGPT generate human-like responses to user questions based on statistical analysis of vast amounts of text. But while the answers usually seem convincing, they are prone to errors, a flaw known as “hallucinations.”

“We have really amazing generative AI systems, but they make mistakes very frequently, and there’s no fundamental way to fix them based on our understanding of how the systems fundamentally work,” Mittelstadt says.

This is a “huge problem” for the LLM system, he says, because it is deployed for use in a variety of situations, such as government decisions, where it is important to give factually correct, truthful answers and be honest about the limitations of your knowledge.

To address this issue, he and his colleagues have proposed a range of countermeasures: They say that large-scale language models should respond in a way that is similar to how humans do when asked factual questions.

That means being honest about what you know and what you don’t know. “It’s about taking the steps necessary to actually pay attention to what you’re claiming,” Mittelstadt says. “If I’m not sure about something, I’m not going to make something up to sound convincing. Rather, I’d say, ‘Hey, you know? I don’t know. Let me look into it. I’ll get back to you later.'”

While this seems like a laudable goal, Ehlke Boiten A professor at Britain’s De Montfort University questions whether the ethicists’ demands are technologically feasible. Companies have tried to get law students to tell the truth, but so far that has proven too labor-intensive and impractical. “I don’t understand why you would try to mandate by legal requirement something that you think is fundamentally technologically impossible,” he says.

Mittelstadt and his colleagues suggest a more direct way to make LLMs closer to the truth: He says models should link to sources of information, as many currently do to back up their claims, and that making extensive use of a technique called search expansion generation to derive answers might help limit the chance of hallucinations.

He also argues that LLMs deployed in high-risk areas, such as government decision-making, should be scaled back or limited in the sources they can use: “If you had a language model that you wanted to use only in medicine, you might limit it to searching only academic articles published in high-quality medical journals,” he says.

Changing perceptions is also important, Mittelstadt said. [LLMs] “Rather than expecting them to be good at answering factual questions, or at least to give you reliable answers to factual questions, it’s better to see them as people who can help you with the facts you present to them,” he says.

Catalina Goanta A researcher at Utrecht University in the Netherlands says researchers are too focused on technology and not enough on the longer-term problem of falsehoods in public discourse. “Vilifying only law graduates in this context gives the impression that humans are perfectly hardworking and would never make such mistakes,” she says. “Meet any judge in any jurisdiction and you’ll hear horror stories about lawyer negligence and vice versa. This is not a machine problem.”

topic:

Source: www.newscientist.com

7 Factors Affecting the Amount of Exercise You Require

Individual exercise needs can vary based on a variety of factors, including:

Genetic mutations

Our genes play a significant role in how we respond to exercise. Genetic variations impact things like muscle fiber organization, metabolism, cardiovascular fitness, and more. Some individuals may be naturally inclined towards endurance activities, while others may have a genetic predisposition for strength training.

Metabolic rates can differ among individuals due to genetic and physiological factors. Some people have a higher basal metabolic rate, burning more calories at rest. This affects energy expenditure during exercise and determines the type and intensity of exercise necessary for weight management and overall fitness.

Body composition

Changes in body composition can impact how we respond to exercise: individuals with a higher percentage of lean muscle mass may have different strength and endurance levels compared to those with a higher percentage of body fat.

Age

Exercise requirements change throughout life. The growth and development needs of children and adolescents may differ from those of adults and older adults, who may focus more on bone density and functional capacity.

Personal goals

Everyone has their own fitness goals, which should guide their exercise routine. Personal preferences also play a role, with some individuals enjoying group workouts while others prefer solo training.

Activity Levels

What you do between workouts affects your exercise needs and dietary requirements. For instance, those with physically demanding jobs may not need as much exercise as sedentary individuals. Recovery is crucial for muscle growth, with everyone experiencing different recovery times even after the same workout.

Psychological factors

Motivation, stress levels, and mental health can impact exercise preferences and adherence.

Recognizing and embracing these differences is key to creating a tailored exercise program that is effective and sustainable for each individual.

This article addresses the question: “Why do people have such varied exercise needs?”

If you have any questions, please contact us via the email address below. For more information:or message us through Facebook, Twitter, or Instagram (please include your name and location).

Discover more fascinating science on our Fun Facts page.


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Source: www.sciencefocus.com

Sophie’s Question: Do H-1B Visa Requirements Require Founders to Surrender Stock and Control?

Sophie Alcorn, AttorneyAuthor and Founder of alcorn immigration law The Silicon Valley, California, resident attorney is an award-winning Immigration and Nationality Law certified attorney in the State Bar Board’s specialty area. Sophie is passionate about crossing borders, expanding opportunity and connecting the world through compassionate, forward-looking and professional immigration law. Connect with Sophie upon linkedin and twitter.

TechCrunch+ members get access to the Ask Sophie column every week. Purchase her 50% off 1-year or 2-year subscription using promo code ALCORN.


Dear Sophie

I am currently working for my employer on an H-1B in the United States. I wanted to start my own company, but transferring an H-1B to a startup has many downsides for startup founders, including giving up control and capital. How has that changed now?

— Future Founder

Hey, future!

The future is now! Thank you for your entrepreneurial spirit and great questions. In October, the Department of Homeland Security (DHS) released a new report. proposed rule with the drawbacks removed H-1B The professional visa for startup founders you mentioned.

“If more entrepreneurs can obtain H-1B status to develop their businesses, the United States could benefit from the creation of jobs, new industries, and new opportunities,” the proposed rule states. It is being

After reading this column, I encourage you and others to speak up about this rule. DHS is accepting public comments on this rule until December 22, 2023. After the comment period ends, DHS will consider the comments, potentially modify the rule based on the comments, and issue a final rule and effective date. I hope to be in time for his next H-1B lottery in March.Comments can be submitted at the top proposed rule Select the “Submit a formal comment” link.

Comments must be in English. However, business owners and non-citizens are also eligible to comment. You can also post comments anonymously.

Maintain control and fairness

As you know, as with all work visas, the employer sponsor must submit the H-1B application on behalf of the employee. There is no self-sponsorship for work visas, and the H-1B is tied to the sponsoring employer and the job and location specified on the petition.

DHS’ proposed rule clarifications already provide founders with more freedom to grow their startups without any restrictions on capacity (and without the need for future regulations) by eliminating the need to reduce majority stakes in startups. It gives you flexibility. this point).

Source: techcrunch.com