Wondering, Should I quit HIIT? It seems like you may be looking for a break from those intensive kettlebell classes. HIIT, or high intensity interval training, can indeed feel overwhelming for beginners.
This method of exercise is favored by many due to its efficiency and impressive health benefits.
Research shows that HIIT can enhance endurance, promote fat loss, build muscle strength, and improve key health markers like blood pressure and blood sugar control.
However, HIIT isn’t suitable for everyone.
Individuals with certain health conditions, particularly lung issues, are often advised to limit or avoid HIIT. Moreover, there’s evidence suggesting that excessive HIIT can lead to negative effects.
In a study from Sweden, researchers discovered that exceeding 150 minutes of HIIT per week could result in stagnated athletic performance and increased oxidative stress in cells.
This effect tends to occur with each HIIT session but lasts only briefly. As long as you’re not overtraining, incorporating a long-term boost of antioxidants can help mitigate the biological stress your body experiences.
Find a sustainable exercise routine for long-term health benefits – Photo credit: Getty
Most health recommendations suggest that up to 90 minutes of HIIT per week is perfectly acceptable.
If you’re still uncertain, that’s understandable. The best exercise is often the one you enjoy and can maintain in the long run.
Interestingly, research from Copenhagen found that slow runners have a lower risk of mortality compared to their faster counterparts.
Another advantage of “steady state” exercises is the ability to converse while working out, making it perfect for social runs with friends.
Unfortunately, that’s not the case with HIIT; when your heart rate exceeds 150 bpm, chatting becomes nearly impossible.
This article addresses the query submitted by Bruce Morris: “Should I quit HIIT?”
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aAnyone with even a hint of local dialect can attest to the challenge of dealing with parking fines, as voice recognition systems often struggle with various accents. Currently, individuals in Mark Seward’s Leeds constituency may encounter similar issues as his AI counterpart.
A chatbot, touted as the first AI representation of an MP, will respond in Seward’s voice, providing advice, support, or forwarding messages to his team, but only if it accurately comprehends your input.
The website, which serves as a virtual representation of the Leeds Southwest and Morley MP, features animated Pixar-style cartoons, and was launched by a local startup to address queries from constituents.
I wanted to test how “Sewardsbot” engages in discussions with someone just outside my constituency borders.
Adopting my “home” voice—one I had before attending university, combined with years spent in London and countless chats with colleagues from East Sussex—I initiated the conversation.
“Hello. I’m a Labour MP from Leeds Southwest and Morley. How can I assist you today?” the character replies in Seward’s voice.
“Now,” I respond. My text appears on the screen, but the bot seems unable to interpret it as a greeting. Here, “now” is commonly understood as “hello” in much of Yorkshire. It continues the dialogue, asking for my name and contact information.
The AI version of Seward faces criticism for recording all interactions and allowing his team to determine which topics are deemed significant based on constituents’ input.
Speaking of pressing issues, I move directly to what many are concerned about: the harrowing reports and footage emerging from Palestine. “Will you be addressing the situation in Gaza?”
Sewardsbot manages this query well, recognizing that I’m referencing Gaza in a broader context but does not elaborate on the government’s stance.
The message displayed on the website states, “AI Mark is a prototype digital assistant. This is a work in progress and should not be construed as fact. All responses are generated by AI.”
I experiment with a few more phrases to see if casual language trips it up, asking if someone could give me a call. However, since I’m at work, I phrase it as “out of 9 people, not calling out 5 people,” mentioning that I had a chip butty in the delightful bread cake from his constituency.
The bot’s interpretation of my accent is poor, and many phrases come through as gibberish. Unlike humans, it doesn’t grasp that the glottal stop before certain words often signifies “the,” which could have clarified my point.
Deciding to address concerns likely relevant to the constituency MP, I say, “My young neighbor hasn’t returned the old chief, yet he knows nothing about it. If no one comes for it, it’s not going down the road.”
I assume Seward would advise me to reach out to Leeds City Council regarding fly-tipping, but the AI suggests consulting with the police to report abandoned vehicles instead.
MPs’ aides will surely breathe a sigh of relief—there’s still plenty to worry about.
When I interviewed a nurse practitioner in California, what she valued most about nursing was the “human element” of being with other people. “I think we all just want our suffering acknowledged, even if we can't cure it or do anything about it,” she told me.
She still remembers when a homeless man came into her clinic. The man had a hunched back and his feet were gnarled and calloused from years of being on the street. She was “just sitting there tending to the wound on his leg.” This moment stood out to her. One reason for this is that clinics and hospitals have fewer opportunities to take such time, as the pursuit of efficiency imposes time constraints.
Washing her feet represented what nursing meant to her: humility, service, and witness. “To give him a moment where he says, 'I see you, I acknowledge you, this is me taking care of you,'” she said. “It was powerful for both of us.”
What value is there in being seen by people other than friends and family? What happens when people connect with each other in everyday encounters such as civic life and commerce? Why is it important? Amid efficiency campaigns, constant data collection, and the rapid proliferation of AI connecting jobs such as therapy and education, these questions have never been more urgent.
The benefits of human interaction have long been unmeasurable and often ignored, and the value of the skill of connecting with others has long been considered innately feminine. As a social scientist, I spent five years studying these connections to learn how and why they matter and how people make them in different environments.
In fact, we know that the relationship between doctor and patient is as follows: Stronger impact on medical outcomes Rather than taking aspirin every day to prevent a heart attack, a therapist's Connection with client They have more impact than the specific treatments they adhere to. Reflective and witnessing work is important enough to deserve its name. After five years of interviewing and observing numerous practitioners and clients in their workplaces, I have come to call it “joint labor.”
Bonded labor may enable the modern service economy, but it is more than a kind of lubricant to the engine for the outcomes we value, like understanding algebra, managing diabetes, and learning how to manage anxiety. is fulfilled. Rather, seeing and being seen has powerful effects for both individuals and communities.
First, when people see each other, it helps create dignity by simply communicating that they are worthy of being seen by others. I spoke with Mariah, a woman who ran a program in California where ex-prisoners met with mentors in small groups to teach them entrepreneurial skills. She said it took men a while to get used to the attention. “Like, [they ask] “So you just want to know what I think?” This program helped change men through human attention.
The power of human attention to inspire others may be a truism, but perhaps less well-known is that these effects go both ways. “It's a trusting relationship,” Jenna, a primary care physician, told me. “That trust infuses the relationship with almost a power, a sacredness. There's just something about that. I feel really honored and lucky to be able to do something like that. That trust infuses the relationship with almost a power, a sacredness. It gives me just as much.”
Finally, people help others understand themselves better. “I think every kid needs to be seen. Really I saw it,” said Bart, the school principal. “I don't think kids understand it on a deep level. I don't think they really dig into that information or content until they feel seen by the person they're learning from. ”
These outcomes – dignity, purpose and understanding – mean a lot to the individuals involved. But being seen can also have broader effects. In recent research, Formerly Incarcerated People in Chicago We found that receiving interpersonal recognition from local community leaders helps us feel like we fit in. One former prisoner said he now knew he had “something worth saying”. Who is seen and who is not seen can be politically influenced by the feeling of being ignored. stir up populist angerwhile being promoted by recognition; sense of belonging It brings communities together.
Of course humans too mistakeWe recognize each other because judgment and prejudice can poison these interactions and elicit shame in rather vulnerable moments. But as a therapist told me, if people only seek to avoid shame—for example, by choosing an AI companion or counselor—they may never find relief from shame. Shame is common in relationships, but it's something you should work through together, not run away from. Part of the power of human interaction comes from the risks we take when we reveal ourselves to each other.
Bonded labor has profound implications for individuals and our society, but it is under siege in data analytics, drowning practitioners in collection and measurement requirements, and behind automated treatments, education, etc. We are under threat from an increasingly lagging AI. Novelty. For some, AI may be better than nothing, while others believe it is better than humans. Still, both choose technology to solve problems primarily caused by insufficient staffing and a constant drive for efficiency, and both have a hard time understanding what humans actually do for each. It reflects the fact that it reflects. I don't really understand the others.
Instead, we need to preserve and protect these personal interactions. We need to strengthen the working conditions of combined labor workers so that they can better see others. We need to impose “connectivity criteria” that help us decide which AIs to encourage. For example, the kind of AI that creates new antibiotics. Decoding the language of sperm whales – and which one to apply the brakes on, i.e. intervene in human relationships. Each of us must decide how much we value human connection in our own lives and in the lives of our neighbors.
The saying goes, “Sticks and stones may break my bones, but words can never hurt me.” But that’s not true. Criticism and rejection It produces brain activity that is indistinguishable from actual pain. Essentially, insults cause pain.
Insult is a complex concept. Has been studied for a long timeIt turns out that the impact of an insult depends not only on who gives it but also on who receives it.
Thus, when it comes to simple insults (insults that have no social or historical significance), the “target” has a great deal of control over the outcome.
And there are plenty of scientifically-recognized ways to successfully defuse an insult or reverse its effects.
One is to attribute category membership to the insulter, making him or her appear as a lower-status, more vulnerable to ridicule.
Someone says, “Your hair is weird,” and you respond, “OK, grandma, calm down,” and you put them in the “old, unfashionable, out of date” category, making them look even worse, especially if they’re a guy in his 20s and there’s no way they could be your grandma.
Some people recommend finding something the insulter says about themselves and highlighting it.
They say, “I don’t know why. [your attractive partner] If they ask you, “Shall I explain it to you? In crayons?”, they mean to insult you, but their response comes across as an admission that they are easily confused.
And then there is co-constructed critique, which takes the insult and builds on it, which de-fans the insult.
“You’re fat!” they say. You say, “I hope so, I’ve spent enough money to get here.”
There are countless other counter-attacks, but they all revolve around a central theme of not empowering the insulter, not elevating the insulter’s status, and maintaining control of the narrative and the interaction.
This article is a response to a question emailed to me by Archie Fox: “What’s the best way to respond to an insult?”
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The rise of artificial intelligence has propelled the stock prices of major tech companies to new heights, but this growth has come at the expense of the industry’s environmental efforts.
Google recently admitted that AI technology poses a challenge to its sustainability objectives. The company disclosed that its data centers, crucial for its AI infrastructure, have caused a 48% increase in greenhouse gas emissions since 2019. Google cited “significant uncertainties” in achieving its goal of net-zero emissions by 2030, particularly due to the complex and unpredictable environmental impacts of AI.
As the tech industry races ahead with AI advancements, the question arises: can technology mitigate the environmental impact of AI, or will the pursuit of cutting-edge innovation overshadow these concerns?
Why is AI a threat to tech companies’ environmental goals?
Data centers play a critical role in developing and operating AI models like Google’s Gemini and OpenAI’s GPT-4. These centers house complex computing equipment that require substantial electricity, leading to CO2 emissions both from energy sources and the manufacturing processes involved. According to the International Energy Agency, data centers are projected to double their electricity consumption by 2026, equivalent to Japan’s energy demand. Additionally, studies suggest that AI’s water consumption could reach significant levels by 2027, potentially straining resources equivalent to England’s annual consumption.
What do experts say about the environmental impact?
Government-sponsored reports in the UK have highlighted the importance of energy sources in determining the environmental cost of technology. Some experts caution that the reliance on fossil-fuel-powered energy sources for training AI models remains a significant challenge. While tech companies are increasing their use of renewable energy to meet sustainability goals, concerns persist that the lack of clean energy may push other users towards fossil fuels.
Alex de Vries, founder of Digiconomist, notes the dual challenge of rising energy consumption in AI and the struggle to secure sustainable energy sources.
Will there be enough renewable energy?
Global efforts to triple renewable energy resources by the end of the decade face challenges due to surging energy demands from AI data centers. The International Energy Agency warns that current plans may only double renewable energy capacity by 2030, potentially impacting climate goals.
Technology companies may need to invest heavily in new renewable energy projects to meet the escalating electricity needs driven by AI.
How quickly can new renewable energy projects be built?
While renewable energy projects like wind and solar farms can be developed relatively quickly, bureaucratic hurdles and grid connectivity issues can delay the process for years. The pace of building offshore wind and hydroelectric schemes faces similar challenges, posing concerns about whether renewable energy can keep up with the expansion of AI.
The reliance on existing low-carbon sources by tech companies may divert clean energy away from other users, potentially increasing fossil fuel consumption to meet growing demands.
Will AI’s power demands keep growing?
The escalating energy needs of AI systems could lead to higher energy costs, prompting cost-saving measures in the industry. However, the competitive landscape and the push for cutting-edge AI technologies may result in excessive electricity consumption despite rising costs.
The pursuit of state-of-the-art AI systems has fueled a “winner takes all” mentality among tech giants, compelling heavy investments in the development of advanced AI. The pressure to remain at the forefront of AI innovation, including the race towards achieving AGI, threatens to escalate energy consumption and costs.
Despite advancements in AI efficiency, the industry’s drive for innovation may offset potential energy savings, akin to the economic concept known as “Jevons’ Paradox.”
Won’t AI companies learn to use less electricity?
While AI breakthroughs continue to enhance efficiency, the industry’s relentless pursuit of cutting-edge models may counteract potential energy savings. The growth in AI capabilities does not necessarily translate to reduced energy consumption, leading to a paradox similar to historical instances of technological advancements increasing use rather than conserving resources.
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