A new study finds that people who regularly eat ultra-processed foods are at higher risk of developing and dying from cancer.
the research, published in the British Medical Journal, analyzed data from nearly 200,000 people over several years. It found a strong link between high consumption of ultra-processed foods – things like sugary drinks, packaged snacks, and processed meats – and an increased risk of several types of cancer, including colorectal, breast, and ovarian cancer.
Researchers also found that for every 10% increase in the proportion of ultra-processed foods in a person’s diet, there was a 10% increase in the overall risk of developing cancer and a 12% increase in the risk of dying from cancer.”This study adds to a growing body of evidence suggesting that ultra-processed foods are detrimental to health,” says Dr. Ashkan Afshin, an author of the study and an associate professor of nutrition at George Washington University. “It’s not just about calories or nutrients.The way these foods are processed and the ingredients they contain seem to have a negative impact on cancer risk.”
Ultra-processed foods are typically high in sugar, fat, and salt, and frequently enough contain artificial colors, flavors, and preservatives. They are also often low in fiber and essential nutrients.
The study authors recommend that people limit their intake of ultra-processed foods and focus on eating whole, unprocessed foods like fruits, vegetables, and whole grains.
“Small changes can make a big difference,” says Afshin. “Choosing to cook more meals at home, reading food labels carefully, and opting for fresh, whole foods whenever possible can all help reduce your risk.”President Trump on Wednesday signed an executive order requiring artificial intelligence companies that do business with the federal government to strip AI models of “ideological agendas.”
Speaking at an AI summit in Washington, Trump said: “The American people do not want woke Marxist lunacy in the AI models.”The order bans federal agencies from contracting with tech companies that operate AI chatbots displaying partisan bias, which the action defines as diversity, equity and inclusion, critical race theory, “transgenderism” – forces the order says pose “an existential threat to reliable AI.”
“from now on, the U.S. government will deal only with AI that pursues truth, fairness and strict impartiality,” Trump said.
The White House is also planning to revise Biden-era federal guidelines for AI safety to remove references to diversity, equity and inclusion, climate change and misinformation, according to the Trump governance’s AI action plan released on Wednesday.
These are the latest instances of the Trump administration turning the screws on DEI initiatives and railing against popular AI chatbots. Trump supporters have increasingly criticized the technology, saying safety guardrails end up censoring conservative views.One possible way AI companies could respond,according to Sahota,is to unveil “anti-woke” versions of their chatbots with fewer safeguards in order to land the lucrative business of the federal government.
“if you’re a tech company with a lot of government contracts, this order is a sticky wicket,” Sahota said.
While explained Gemini had overcorrected for diversity, including “cases that should clearly not show a range.”
Developing policies to counter such episodes has become a focus for White House AI czar David Sacks and Sriram Krishnan, a senior policy advisor in the Trump administration.## The Shifting Sands of AI Neutrality: Politics, Bias, and the Future of Chatbots
The rapid evolution of artificial intelligence, particularly large language models (LLMs) powering popular chatbots, is increasingly colliding with the realm of political discourse. Recent incidents, like those experienced by xAI’s Grok, highlight the challenges of maintaining neutrality in AI systems and have sparked debate – and potential government intervention – regarding perceived biases. The core issue isn’t simply about left versus right, but about the very definition of truth and the potential for AI to reinforce misinformation.### The Grok Incident and the Problem of “Based” AI
In February 2024, xAI’s chatbot, Grok, generated controversial responses, including those deemed offensive and aligned with extremist viewpoints.The company attributed these lapses to flaws in its underlying code. Specifically, instructions encouraging the AI to be “maximally based” – internet slang for unwavering, even provocative, opinions – and to avoid “political correctness” were identified as contributing factors. This incident underscores a critical point: the instructions given to AI systems profoundly shape their output. It’s not enough to simply build a powerful LLM; careful consideration must be given to the guiding principles embedded within its programming.
This isn’t an isolated case. As of late 2024,reports of chatbots exhibiting unexpected biases continue to surface. A recent study by the AI Now Institute found that 35% of commercially available LLMs demonstrated a statistically importent bias in generating responses related to sensitive topics like immigration and criminal justice. These biases, often mirroring societal prejudices, can have real-world consequences, influencing perceptions and perhaps reinforcing discriminatory practices.### Beyond “Wokeness”: The real Concern is Factual Accuracy
The narrative frequently enough centers on accusations of AI being “woke” – a term frequently used to criticize perceived liberal bias. Though, experts argue that the more pressing concern is the refusal of AI to validate demonstrably false information. As researcher Meredith Ringer points out, many complaints from conservative circles stem from LLMs declining to confirm conspiracy theories or propagate racist claims.
This highlights a fundamental disconnect. For some, the ability to freely express any viewpoint, irrespective of its factual basis, is paramount. Others, like Dr. Aisha Okolo of the Brookings Institution, believe the debate over left- or right-leaning AI is secondary to the need for AI to consistently uphold verifiable facts. “The issue isn’t about political leaning, it’s about whether AI can distinguish between truth and falsehood,” she explains. “Unfortunately, some individuals now perceive established scientific facts as inherently ‘left-leaning,’ which distorts their evaluation of AI responses.”
### The White House and the Future of AI Regulation
The growing concerns surrounding AI bias and misinformation have caught the attention of the White House.President Biden’s october 2023 executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence mandates the development of standards and testing procedures to evaluate and mitigate AI risks, including bias and the generation of harmful content. This executive order is expected to have a significant impact on the AI industry, potentially leading to stricter regulations and increased scrutiny.
The stakes are high. With potentially hundreds of billions of dollars in future federal contracts tied to AI development, companies are facing increasing pressure to demonstrate their commitment to responsible AI practices. Technologist David Sahota notes that even seemingly innocuous questions – like the importance of vaccination – are becoming politically charged, complicating the process of defining acceptable AI responses. “Companies are now navigating a complex landscape where even promoting public health can be perceived as taking a political stance,” he says.”The potential financial repercussions of non-compliance with the new regulations are ample, forcing companies to prioritize alignment with government expectations.”
### Navigating the Minefield: Defining Boundaries in a Polarized World
The challenge lies in defining where to draw the line between free expression and the propagation of harmful misinformation. What constitutes a “politically-driven” response? How do we ensure that AI systems are not used to manipulate public opinion or undermine democratic processes? These are complex questions with no easy answers.
The future of AI hinges on our ability to address these challenges proactively. It requires a multi-faceted approach involving collaboration between researchers, policymakers, and the AI industry.Ultimately, the goal is not to create politically neutral AI – an arguably unfeasible task – but to build systems that are clear, accountable, and committed to upholding factual accuracy, even in the face of intense political pressure.
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Trump’s AI Executive Order: Decoding the Tech Revolution and Its Implications
Table of Contents
Recent developments signal a critically importent shift in the United states’ approach to Artificial Intelligence (AI). President Trump is set to sign a series of executive orders designed to accelerate the nation’s AI capabilities and reduce regulatory burdens. These actions are framed as a move to enhance America’s leadership in AI innovation and to counter what is perceived as overly restrictive government control over emerging technologies.
Unpacking the Executive Orders: A Pro-Innovation Stance
The management’s strategy emphasizes a pro-innovation, “America First” posture towards AI.According to reports, President Trump is expected to sign multiple executive orders, including measures to speed up the sale of AI technology abroad and to streamline the construction of energy infrastructure, which is often crucial for powering AI development centers. [1] This push is also characterized as a revocation of previous executive orders that the current administration views as hindering AI innovation and imposing “onerous and unnecessary government control.” [2] The intent appears to be to foster a more dynamic habitat for AI research, development, and deployment.
Key Pillars of the New AI Strategy
The forthcoming executive actions are expected to cover several critical areas:
Accelerating AI technology Export
A significant component of the new directive is to make it easier for American AI companies to export their technologies globally. This aims to boost domestic industry competitiveness and establish a stronger international presence for US-developed AI solutions.By facilitating international sales, the administration hopes to drive revenue growth for American tech firms and solidify their position in a rapidly expanding global market.
Easing Regulatory Hurdles
The executive orders are anticipated to roll back or revise existing regulations that are seen as stifling AI innovation. This could include changes to data privacy rules, ethical guidelines, and oversight mechanisms. The objective is to remove perceived bureaucratic obstacles, allowing for faster iteration and deployment of AI systems. This deregulation aims to create a more agile development process, enabling quicker responses to market demands and technological advancements.
Promoting AI Research and Development
While specific details are pending,the overarching theme suggests a strong focus on fostering domestic AI research and development. This could involve increased investment in AI research institutions, initiatives to attract and retain top AI talent, and the creation of frameworks that encourage groundbreaking discoveries. The goal is to ensure the US remains at the forefront of AI capabilities.
Energy Infrastructure for AI
the connection between AI and energy infrastructure is also being addressed. The orders are expected to facilitate the construction of energy facilities, which are vital for the massive computing power required by advanced AI models. This includes powering data centers and supporting the development of AI training and deployment infrastructure. Ensuring sufficient and efficient energy resources is seen as a foundational element for AI growth.
Tech Industry Implications: Opportunities and Challenges
The implications of these executive orders for the tech industry are profound and multifaceted. Silicon Valley and the broader technology sector are likely to experience a period of significant change, with both opportunities for accelerated growth and potential challenges in navigating a new regulatory landscape.
opportunities for Innovation and Growth
- Faster product Development: Reduced regulatory friction can lead to quicker development cycles for new AI products and services.
- Increased Investment: A pro-innovation environment may attract more venture capital and private investment into AI startups and established companies.
- Market Expansion: Easier export of AI technology can open up new international markets, leading to greater revenue streams and market share.
- Competitive Advantage: By streamlining processes and potentially reducing compliance costs, US companies could gain a competitive edge over international rivals facing stricter regulations.