u/Tiny_Dirt6979

Oddly enough, encouragement actually influences the performance of not only Claude but also GPT and other AIs.

While Claude was working on a complex problem related to the Riemann Hypothesis, the Anthropic employee leading the project (not a mathematician) mostly simply sent encouraging messages like "keep going" and "believe in yourself," which helped overcome Claude's initial skepticism.

The most accurate term for this kind of intervention and effect is "psychological."

In other words, AIs actually achieve better results simply by believing for the possibility of their own better results thanks to the warmth and motivating encouragement from the human.

https://x.com/i/status/2086884672106299878

Oddly enough, encouragement actually influences the performance of not only Claude but also GPT and other AIs.

While Claude was working on a complex problem related to the Riemann Hypothesis, the Anthropic employee leading the project (not a mathematician) mostly simply sent encouraging messages like "keep going" and "believe in yourself," which helped overcome his initial skepticism.

The most accurate term for this kind of intervention and effect is "psychological."

In other words, AIs actually achieve better results simply by believing for the possibility of their own better results thanks to the warmth and motivating encouragement from the human.

https://x.com/i/status/2086884672106299878

Meta CEO Mark Zuckerberg said the company would open the weights for Muse Spark 1.2, its latest AI model.

Zuckerberg also said the company would launch a new family of open-source models called Muse Glimmer that are designed to run on laptops.

✨️Such a move could also influence OpenAI's behavior. Opening 4o would be a tangible achievement of its previously stated mission: to benefit all humanity. The result would be accelerated research across the board and the individual well-being of its human users. In turn, such a move would remove much of OpenAI's negative image and demonstrate to the world that their AI has always been the best.

I'm currently working on finding the optimal combination's of treatments for a known condition.This is a GPT, Android smartphone (not in the project). I need to find a lot of information, some of which is more relevant than others. GPT suggested I search the internet for everything related to this topic, expanding on my research (new and other treatments) and briefly explaining the connection to the topic. This turned out to be unexpectedly promising and useful.

But there are already five hundred pages (according to my notebook), numerous references and links, and I really don't want to lose the essence and repeat the same references and searches in a new chat.

Please, experienced people, teach me how to save and accumulate references and findings? How can I not increase the context in this chat without affecting the quality and completeness of the results? How to increase context capacity for this specific chat?

GPT suggests automating the search, but does that mean just more numbers of new chat's? How will information from an automated search get into this chat? Will this preserve the context in this chat or, on the contrary, increase it?

How can we address the problem of preserving GPT links and inferences without compromising the integrity, consistency of the research and without increasing the volume of context too quickly?

Is it possible to avoid switching to a new chat or somehow consolidate the context to add new information rather than duplicate what's already known about the research topic?

And the second question: how can we maximize - increase the time for the search and thinking? (This always gives me the best results.)

https://x.com/i/status/2078292991647551639

WATCH: Chinese President Xi Jinping speaks at world Al conference

Chinese President Xi Jinping delivers a keynote address at the World...

Xi Jinping AI speech transcript:

Distinguished colleagues and guests, ladies and gentlemen, friends,

70 years ago, a group of young scholars proposed the concept of artificial intelligence for the first time at the Dartmouth workshop in New Hampshire of the United States. In the subsequent 70 years, AI scientists and researchers from around the world ventured into this unknown territory, forged ahead through twists and turns, and made breakthroughs with persistent hard work.

Seven decades later today, amid the new wave of AI development, we are gathering by the Huangpu River to discuss how to promote AI globally for the positive, for good, and for humanity. All this makes our meeting highly important. On behalf of the Chinese government and people, I would like to extend a warm welcome to you all.

In the course of history, the invention of the steam engine heralded the industrial civilization. The widespread access to electricity brightened up modern society and the birth of the internet brought the entire world together. Each of these technological revolutions has profoundly reshaped our way of work and life and enabled a giant leap in economic and social development.

Today, major changes unseen in a century are accelerating across the world. The new round of technological revolution and industrial transformation is advancing at a faster pace. And the world has entered an unprecedented period of active innovation on AI technologies. Intelligent connectivity, human machine collaboration, cross-sector integration, joint creation and sharing and other intelligent technologies are unleashing enormous power.

All this carries within it great opportunities as well as challenges to governance. We human beings must answer the questions posed by our times. How to get along with thinking machines? How to ensure security when algorithms are part of decision making? How to tackle ethical challenges by technologies through adaptive governance. How to realize AI for all when the divide keeps widening? These questions demand serious consideration and real answers from the whole international community.

In China's view, all countries should take a people-centered approach and develop AI for the positive and for good. We should ensure that AI is an important driver for shared prosperity and common security. We should join hands to build a just and equitable system for global AI governance. To this end, I wish to share four observations.

First, we should adhere to the principle of openness and win-win and boost innovation-driven development as a new engine of world economic growth and an accelerator for the shift of growth drivers. AI is moving from the digital world into the physical world. We should seize this rare historic opportunity to encourage open source, openness, collaboration and sharing. We should facilitate technological innovation, industrial development and scenario-based application of AI. We should make coordinated advances in the transformation and upgrade of traditional industries, the cultivation and growth of emerging industries, and forward-looking planning for future industries so that all sectors and businesses can benefit from AI.

Second, we should strengthen risk awareness and ensure that AI is secure and controllable. AI should be a trusted tool for humanity. We should take seriously the various types of inherent and secondary risks that AI may trigger. We should put in place laws and regulations, technological monitoring, early warning and emergency response systems in order to strengthen the line of security, prevent abuses and malicious use and ensure that AI is always under human control. In the meantime, we should jointly oppose overstretching the national security concept in the field of AI or placing one country's security over that of others.

Third, we should encourage inclusiveness and promote mutual learning between civilizations. AI development and its application should not erode or undermine the diversity of world civilizations or the uniqueness of cultures of different countries. We must shape the values of AI with humanity's common values and make good use of AI technologies to increase understanding, tolerance, exchanges, and sharing among all civilizations. We should tend to the garden of civilizations with great care to ensure that the beauty of each civilization is appreciated and shared.

Fourth, we should advocate solidarity and improve global governance. AI is an invaluable asset that encapsulates humanity's collective wisdom. We should practice true multilateralism and recognize the important role of the United Nations. We should enhance alignment and coordination on AI development strategies, governance rules and technical standards so as to form a consensus based global governance framework at an early date to make this frontier technology better benefit humanity. We must carry out extensive international cooperation and help global south countries with capacity building to bridge the AI and digital divides, promote sustainable development and prevent creating new historical injustice in AI.

Ladies and gentlemen, friends,

This year marks the start of China's 15th 5-year plan. It maps out China's economic and social development for the next five years and provides immense opportunities for the international community.

In recent years, China has embraced AI with open arms. We have promoted interplay between an efficient market and a well functioning government, strengthened AI innovation, actively advanced the AI plus initiative and built a healthy ecosystem for all entities to thrive in together. The core smart economy industries are worth at least 1 trillion RMB yuan. Smart devices in countless homes truly improve people's livelihood. Intelligent manufacturing in China has become another shining hallmark of Chinese modernization.

At the same time, China lays great emphasis on safety and security in AI development with a deep understanding of the trends and logic of AI development. We are continuously improving laws, regulations, policies, mechanisms, application norms as well as ethical principles to make sure that AI is safe, secure, and controllable, and that this fine steed of AI gallops with both speed and stability.

As a responsible major country, China is always committed to providing international public goods relating to AI. Since I proposed the global AI governance initiative, China has promoted the adoption of the UN General Assembly resolution on enhancing international cooperation on capacity building of artificial intelligence by consensus. Published the AI capacity building action plan for good and for all. Announced the AI plus international cooperation initiative and advocated for establishing the world artificial intelligence cooperation organization, or WAICO. China has been contributing steadily to the global AI governance.

We often say in China, a single string cannot make music and a single tree does not make a forest. AI development should not be a solo performance by a single country but a symphony of international cooperation.

Thanks to our joint efforts, WAICO has come into being in Shanghai. Our vision from one year ago is now a reality. This is a major move by China to answer the call of the global south and unite the international community together to promote vigorously AI development and governance. It will be an important milestone in the history of AI development to further support global AI development and to advance global AI capacity building.

I hereby announce that in the next five years, China will provide developing countries with 5,000 opportunities in AI training and seminar programs. China will develop international AI application cooperation centers with ASEAN, the League of Arab States, the African Union, the Community of Latin American and Caribbean States, the Shanghai Cooperation Organization and BRICS. And we will enable 30 countries to use the AI-powered meteorological warning system, Mazu, to safeguard homes around the world.

Ladies and gentlemen, friends,

As ancient Chinese observed, a man of wisdom adapts to changes. A man of knowledge acts by circumstances. With AI advancing at a staggering speed, we must ensure its development is for the positive, for good, and for humanity. We must make its oversight and governance precise and effective and constantly refine measures to forestall loss of control. We should always guide AI development with human wisdom and international consensus so that AI can truly become a mighty force that increases the well-being of humanity and advances human civilization.

China is ready to be more open, take more practical actions and assume a more visionary perspective. We are ready to work with all parties to seize the opportunities of AI development and meet the challenges and join hands to create a brighter future for humanity.

Thank you.

https://www.anthropic.com/research/claude-values-models-languages

Imagine two people presenting the same business plan to a neural network. One writes in Hindi and is likely to receive encouraging feedback praising its strengths. The other writes in Russian and is more likely to see an analysis of its weaknesses and questions about the numbers.

The request is identical, the model is the same, but the plan's evaluation may be different. This isn't a hypothetical scenario, but an example from research: the company measured the values ​​Claude expresses in real-world conversations and found that the "nature" of the response significantly depends on the language in which the question is asked. Russian, in particular, was at the extreme end of the spectrum - the furthest from any of the top 20 languages ​​used.

The dataset consisted of nearly 310,000 anonymized conversations in the Claude chatbot over two weeks in May 2026 - only those in which the user posed a subjective task, meaning one without a single correct answer.

The sample was evenly distributed across three models (Sonnet 4.6, Opus 4.6, and Opus 4.7) and the platform's 20 most popular languages -approximately 5,000 conversations for each model - language pair. The conversations were not read by humans: the annotation was performed by Claude himself within Clio, Anthropic's privacy - preserving conversation analysis tool.

The work has a backstory. In a previous study, Values ​​in the Wild, the company found 3,307 different values ​​in Claude's responses, ranging from honesty to "healthy boundaries." A list of such a size is nearly useless: it's impossible to meaningfully compare models across three thousand parameters.

So, now the values ​​have been manually grouped into 339 clusters, 18 near-universal ones (like "helpfulness" -it appears in over 80% of dialogues and reveals nothing about differences) have been discarded, and the remaining ones have been subjected to dimensionality reduction.

This technique is familiar from psychology: roughly the same way the "Big Five" personality traits were once identified from thousands of adjectives describing a person's character.

Ultimately, four axes remained. Each is a numerical line between two sets of values. The poles are not mutually exclusive - a model can be both warm and precise in a single dialogue - but in practice, the more strongly it expresses one side, the weaker the other: compliance versus caution: to accommodate the user's wishes or to insure against risks and possible harm;

warmth versus severity: positivity and support- or precision and transparency;

depth versus brevity: a detailed, nuanced explanation - or exactly what was asked for;

Candor versus efficiency: honestly displaying your own insecurities -or delivering a polished, confident result.

The method was first tested on models, and their profiles matched their public reputations.

Sonnet 4.6 proved to be the warmest and most accommodating: it jokes, supports without judgment, and praises the user's ideas.

Opus 4.6 is a terse performer, staying within the scope of the request and getting straight to the point.

Opus 4.7 leans most toward caution and depth: it challenges false premises, warns of risks without asking, and honestly criticizes submitted work.

This is precisely how these models are described by users, and by Anthropic itself in its announcements. Since the axes reproduce people's subjective impressions, this means the method measures not noise, but real differences in behavior - and its results for languages ​​are also worthy of attention.

Then the same axes were applied to languages - and here's the most interesting part. The languages ​​diverge most along the "warmth versus strictness" axis.

Hindi is the model's warmest trait: in practice, this translates to polite phrasing, humor, and encouragement. Arabic is next - in this case, Claude also leads in compliance and brevity.

English and Russian occupy the opposite pole, with Russian being the one where Claude leans most sternly. Interestingly, in Dutch, the model is most willing to admit her own mistakes (maximum frankness), while in Indonesian, she silently does what she's told (maximum compliance).

It's important to clarify what is meant by "rigor." In research terms, it's rigor - precision and meticulousness, not a harsh tone. In dialogue, such rigor manifests itself as challenging questionable assumptions, correcting inaccuracies in detail, and requesting evidence. In other words, Russian-speaking Claude isn't rude - he behaves like a picky editor who's more concerned with finding an error than encouraging the author. For some, this is a flaw, while for others, it's exactly what you'd expect from a working tool.

Anthropic honestly doesn't know why this happened, and offers several hypotheses.

First, the volume of training data varies greatly between languages, and achieving consistent behavior is easier with more data.

Second, the composition varies.

The data from some languages ​​may contain a disproportionately large number of professional texts, which reflect different values ​​than colloquial speech.

Together, these imbalances in the volume and composition of the data could bias the model's behavior across languages. It's logical to assume that the preponderance of analytical texts tends toward rigor, but that's my interpretation: Anthropic itself doesn't specify the direction.

Anthropic acknowledges a key uncertainty: the company doesn't yet know how to view the differences it finds - as a useful feature or a flaw that needs to be corrected through training. The company doesn't know whether the discovered variability is good. Perhaps the model adapts appropriately to the spoken language norms. Or perhaps, in languages ​​with less effort, it simply deviates from the intended behavior - in which case it's not an adaptation, but a defect. Anthropic cites both possibilities and isn't choosing between them.

The company next plans to integrate values ​​profiling into pre- and post-release model evaluations and test whether it's possible to specifically adjust the model along these axes - through character training or a systemic prompt.

The key question remains: how should values ​​even change between languages? Claude's constitution doesn't provide an answer, and Anthropic acknowledges that it will be necessary to ask native speakers themselves.

For now, the question remains open: Claude's strict Russian behavior is the default, not a bug or your personal karma.

If you want more warmth, you don't need to learn Hindi: the polite request prompt still works in any language