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New Research Shows Language Choice Alone Can Guide AI Output Toward Eastern or Western Cultural Outlooks

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A new study shows that the language used to prompt AI chatbots can steer them toward different cultural mindsets, even when the question stays the same. Researchers at MIT and Tongji University found that large language models like OpenAI’s GPT and China’s ERNIE change their tone and reasoning depending on whether they’re responding in English or Chinese.

The results indicate that these systems translate language while also reflecting cultural patterns. These patterns appear in how the models provide advice, interpret logic, and handle questions related to social behavior.

Same Question, Different Outlook

The team tested both GPT and ERNIE by running identical tasks in English and Chinese. Across dozens of prompts, they found that when GPT answered in Chinese, it leaned more toward community-driven values and context-based reasoning. In English, its responses tilted toward individualism and sharper logic.

Take social orientation, for instance. In Chinese, GPT was more likely to favor group loyalty and shared goals. In English, it shifted toward personal independence and self-expression. These patterns matched well-documented cultural divides between East and West.

When it came to reasoning, the shift continued. The Chinese version of GPT gave answers that accounted for context, uncertainty, and change over time. It also offered more flexible interpretations, often responding with ranges or multiple options instead of just one answer. In contrast, the English version stuck to direct logic and clearly defined outcomes.

No Nudging Needed

What’s striking is that these shifts occurred without any cultural instructions. The researchers didn’t tell the models to act more “Western” or “Eastern.” They simply changed the input language. That alone was enough to flip the models’ behavior, almost like switching glasses and seeing the world in a new shade.

To check how strong this effect was, the researchers repeated each task more than 100 times. They tweaked prompt formats, varied the examples, and even changed gender pronouns. No matter what they adjusted, the cultural patterns held steady.

Real-World Impact

The study didn’t stop at lab tests. In a separate exercise, GPT was asked to choose between two ad slogans, one that stressed personal benefit, another that highlighted family values. When the prompt came in Chinese, GPT picked the group-centered slogan most of the time. In English, it leaned toward the one focused on the individual.

This might sound small, but it shows how language choice can guide the model’s output in ways that ripple into marketing, decision-making, and even education. People using AI tools in one language may get very different advice than someone asking the same question in another.

Can You Steer It?

The researchers also tested a workaround. They added cultural prompts, telling GPT to imagine itself as a person raised in a specific country. That small nudge helped the model shift its tone, even in English, suggesting that cultural context can be dialed up or down depending on how the prompt is framed.

Why It Matters

The findings concern how language affects the way AI models present information. Differences in response patterns suggest that the input language influences how content is structured and interpreted. As AI tools become more integrated into routine tasks and decision-making processes, language-based variations in output may influence user choices over time.

Notes: This post was edited/created using GenAI tools. Image: DIW-Aigen.

Read next: Jack Dorsey Builds Offline Messaging App That Uses Bluetooth Instead of the Internet





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The existential questions of artificial intelligence regulation in Congress

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NEWYou can now listen to Fox News articles!

Should we be alarmed by the acceleration of “artificial intelligence” (“AI”) and the “large language models” (LLMs) AI’s developers employ? 

Thanks to AI I can provide a short explanation of the LLM term: “Imagine AI as a large umbrella, with generative AI being a smaller umbrella underneath. LLMs are like a specific type of tool within the generative AI umbrella, designed for working with text.”

Clear? Of course not. The intricacies of AI and the tools it uses are the stuff of start-ups, engineers, computer scientists and the consumers feeding them data knowingly or unknowingly. 

TRUMP PRAISED BY FAITH LEADERS FOR AI LEADERSHIP AS THEY WARN OF TECHNOLOGY’S ‘POTENTIAL PERIL’

In the first Senate version of the “One Big Beautiful Bill,” Senator Ted Cruz sponsored and the drafting committees accepted a 10-year ban on state legislatures laying down rules of the road for AI. Senator Cruz advocated for a federal moratorium on states enforcing their unique AI laws. Senator Cruz argued that states’ regulations could create a confusing patchwork of rules that could hinder AI development and adoption.

After much discussion and debate, the proposal was stricken from the Senate bill, which then went on to pass the Senate and House and was signed into law on July 4, creating in six months an enormous set of legislative accomplishments for President Trump as every one of the priorities he campaigned on was delivered via the OBBB. 

What about the concerns about AI

Very, very few essays or columns or even books leave lasting marks. One that did so for me was penned by Dr. Charles Krauthammer in 2011 and included in the magnificent collection of his very best work, “Things That Matter.”

In that collection is the brief column titled “Are We Alone In The Universe?”

Krauthammer quickly recounts the reasons why we ought not to be alone as an intelligent species in the universe, as well as the explanation of why we haven’t “heard from” any other civilizations in even our own galaxy. 

The answer, Krauthammer states, “is to be found, tragically, in…the high probability that advanced civilizations destroy themselves.”

Krauthammer credits Carl Sagan and others with this gloomy proposition, but it is Krauthammer who sums it up nicely;

“[T]his silent universe is conveying not a flattering lesson about our uniqueness but a tragic story about our destiny,” Krauthammer continued. 

“It is telling us that intelligence may be the most cursed faculty in the entire universe —an endowment not just ultimately fatal but, on the scale of cosmic time, nearly instantly so.”

But no gloom and doom for Krauthammer, only clarity: “Intelligence is a capacity so godlike, so protean, that it must be contained and disciplined.”

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“This is the work of politics,” Krauthammer concludes, “understood as the ordering of society and the regulation of power to permit human flourishing while simultaneously restraining the most Hobbesian human instincts.”

Krauthammer is right and Senator Cruz was correct to tee up the debate which isn’t over, only begun. That’s the “politics” part which is never-ending until the civilization ends. AI is indeed “godlike” in the promises its boosters make but profoundly disruptive of all of human history that went before it. 

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Does it mean we are stepping off the edge of a cliff that destroyed all the other civilizations that went before us on distant planets from whom we will never hear a peep because they have run out their own string?

Impossible to say, but kudos to Senator Cruz for kicking off the debate. The conversation deserves much more attention than it has thus far received.  It’s too easy to simply go full “disaster is inevitable” mode, but some speed bumps —Cruz 2.0 in the next reconciliation?— would be welcome. 

Hugh Hewitt is host of “The Hugh Hewitt Show,” heard weekday mornings 6am to 9am ET on the Salem Radio Network, and simulcast on Salem News Channel. Hugh wakes up America on over 400 affiliates nationwide, and on all the streaming platforms where SNC can be seen. He is a frequent guest on the Fox News Channel’s news roundtable hosted by Bret Baier weekdays at 6pm ET. A son of Ohio and a graduate of Harvard College and the University of Michigan Law School, Hewitt has been a Professor of Law at Chapman University’s Fowler School of Law since 1996 where he teaches Constitutional Law. Hewitt launched his eponymous radio show from Los Angeles in 1990.  Hewitt has frequently appeared on every major national news television network, hosted television shows for PBS and MSNBC, written for every major American paper, has authored a dozen books and moderated a score of Republican candidate debates, most recently the November 2023 Republican presidential debate in Miami and four Republican presidential debates in the 2015-16 cycle. Hewitt focuses his radio show and his column on the Constitution, national security, American politics and the Cleveland Browns and Guardians. Hewitt has interviewed tens of thousands of guests from Democrats Hillary Clinton and John Kerry to Republican Presidents George W. Bush and Donald Trump over his 40 years in broadcast, and this column previews the lead story that will drive his radio/ TV show today.

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New AI model for researchers can make complex research 30% faster: GreyB launched Slate Prism Model

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Florida, July 08, 2025 (GLOBE NEWSWIRE) — Slate, a leading innovation discovery platform developed by GreyB, has announced the launch of “Prism”, a new structured research module to solve complex, constraint-based R&D challenges. Slate Prism breaks down your query, scans thousands of patents and papers, and delivers evidence-backed insights on what works, what doesn’t, and why. It goes beyond simple search results to deliver in-depth analysis of solutions.

In today’s research landscape overwhelmed by information overload, Slate Prism empowers users to cut through the noise and quickly grasp the core of any subject. It is designed to support researchers working on technical problems that involve multiple interdependent constraints, such as improving product performance without compromising regulatory compliance or reducing costs while preserving core functionality.

“In research and development, the most critical questions are often not binary. They involve trade-offs across efficacy, safety, stability, or compatibility,” said Anmol Saini, Head of the Product at GreyB. “Slate Prism is created to support deep, multi-constraint reasoning that researchers perform. It’s like having a team of expert researchers at your fingertips, capable of synthesizing complex topics into clear, actionable insights, saving users invaluable time and effort.”

Traditional methods force researchers to break down complex questions into isolated sub-queries, run multiple individual searches, and manually compare findings to find overlaps over extended periods. Even existing AI tools struggle with handling full, multi-layered questions, pushing researchers to simplify their approach. Slate Prism reduces the need for manual cross-referencing by allowing users to explore layered, constraint-heavy queries in one go.

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Key capabilities of Slate Prism include:

Targeted Search: It breaks down complex technical research questions into structured components based on constraints.Evidence Gathering: Retrieves and integrates insights from a multitude of sources, including patents, research papers, and technical documents.Contextual Analysis: Slate Prism analyzes the relationships between different constraints of the query, providing solutions from both supporting and contrasting studies, which helps in identifying trade-offs, edge cases, and knowledge gaps.Comprehensive Synthesis: It provides evidence-backed solutions, explaining their context and providing researchers a clearer understanding to support decision-making.Source Citation: All generated insights are meticulously linked back to their original studies for further exploration, ensuring transparency and reliability.Dynamic Exploration: Enables researchers to delve deeper into specific solutions and explore related technical literature in more detail with ease. In initial exclusive testing with the first few clients across industries such as cosmetics, F&B, packaging, pharmaceuticals, automotive, and healthcare, Slate Prism demonstrated significant time-saving and accuracy improvements. Early users reported a 30% reduction in the time required to make key decisions, while 45% of respondents noted an increase in decision-making accuracy when utilizing the platform.

As the demand for innovative, AI-powered solutions in R&D grows, Slate leads the way in tackling the emerging challenges faced by researchers. By focusing on multi-constraint reasoning, Slate Prism is aligning with the increasing reliance on AI to solve the toughest challenges in R&D.

With the addition of Prism, Slate continues its focus on supporting research workflows that require not only access to information but also tools that assist in interpretation and decision-making.

Slate is offering an exclusive 14-day free trial of Prism. To start your trial, visit https://slate.greyb.com/trial/

About Slate

Slate is an innovation discovery platform designed for R&D and innovation teams. It enables faster technology discovery, competitive intelligence, and decision support with advanced AI capabilities for complex problem-solving and in-depth analysis. From R&D labs to boardrooms, Slate empowers teams to find what’s out there and validate it quickly.

CONTACT: Name: Deepak Kumar

Email: [email protected]

Job Title: Marketing and Communications, GreyB



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2 Artificial Intelligence (AI) Stocks Even Risk-Averse Investors Can Buy Without Hesitation

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Betting big on the next hot thing can sometimes burn investors. That can be true even when the next hot thing is as exciting and promising as artificial intelligence (AI).

Concerns about being burned might cause some investors to be leery of buying AI stocks. However, this fear could result in them missing out on huge long-term returns. Are there alternatives for investing in AI that aren’t super risky? Absolutely. Here are two AI stocks that even risk-averse investors can buy without hesitation.

Image source: Getty Images.

Two AI titans

If bigger is better, you won’t find many better AI stocks than Amazon (AMZN -0.07%) and Microsoft (MSFT -0.24%). Amazon ranks as the fourth-largest publicly traded company based on market cap, while Microsoft holds the No. 2 spot. And their AI credentials are impeccable.

Amazon Web Services (AWS) is the global leader in cloud services, with a market share of 29%. Microsoft Azure is in second place with a market share of 22%. Both cloud platforms continue to enjoy strong growth, thanks in large part to organizations rushing to build and deploy AI models in the cloud.

Amazon and Microsoft boast partnerships with other top AI companies as well. Both companies have teamed up with Nvidia. Microsoft’s investments in ChatGPT creator OpenAI are paying off handsomely, and Amazon has invested $8 billion in Anthropic, the developer of the powerful Claude large language model (LLM).

These two AI titans are also benefiting from AI in their internal operations. Amazon is using AI to recommend products to customers on its e-commerce platform, for example, while Microsoft has rolled out OpenAI’s GPT-4 throughout its product lineup.

Why risk-averse investors should like Amazon and Microsoft

Risk-averse investors know what they’re getting with Amazon and Microsoft. Both companies are AI leaders, but they’re also much more.

Amazon and Microsoft offer tremendous financial stability. Amazon generated revenue of nearly $638 billion last year, with profits totaling over $59 billion. Microsoft’s revenue topped $245 billion, with earnings of more than $88 billion.

Each of the companies has a boatload of cash — $94.6 billion for Amazon and $79.6 billion for Microsoft.

We’ve already seen that Amazon and Microsoft dominate the cloud services market. These two companies are also leaders in other areas. Amazon reigns as the 800-pound gorilla of e-commerce with a market share of 37.6%. Microsoft’s Windows commands a 70% market share among desktop operating systems. The company’s Office 365 suite ranks No. 2 in the productivity software market.

Both companies continue to deliver solid growth. Amazon’s revenue increased 9% year over year in its latest quarter, with earnings soaring 64%. Microsoft’s revenue jumped 13% year over year, with profits up 18%.

More importantly, both Amazon and Microsoft have strong growth prospects. Each company is poised to benefit from the ongoing AI tailwind and the shift from on-premises IT to the cloud. Amazon’s e-commerce platform and Microsoft’s software products also have solid growth potential.

Not risk-free

I don’t want to leave the impression that Amazon and Microsoft don’t have any risks, though. There’s no such thing as a risk-free stock.

Both Amazon and Microsoft face significant competition despite their current market dominance, and growth could be derailed by regulators in the U.S. and in Europe. Both stocks also trade at high valuations: Amazon’s forward price-to-earnings ratio is 34.6, while Microsoft’s forward earnings multiple is 33.2. These valuations make them more exposed if they experience a significant business disruption.

However, longtime investors know that the best stocks often command premium valuations. Amazon and Microsoft are two of the best stocks, with lifetime gains of around 227,800% and 123,200%, respectively.

Although Amazon and Microsoft face some risks, I think the pros of both stocks far outweigh the cons. If you’re a risk-averse investor who wants to profit from the AI boom, I can’t think of two better picks.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors. Keith Speights has positions in Amazon and Microsoft. The Motley Fool has positions in and recommends Amazon, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



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