Роскосмос пару дней назад опубликовал отчёт о том, почему упала "Луна-25". Там конечно канцелярит, но можно примерно понять, что двигатель коррекции получил неверные данные от акселерометра:
из-за возможного попадания в один массив данных команд с различными приоритетами их исполнения прибором
Это очень похоже на программную ошибку, а это моя сфера, и я решил над ситуацией поразмыслить.
Хейтеры сразу стали строчить комментарии в стиле "Ололо, наняли каких-то идиотов, которые простейшие тесты не провели". Тут обычно справедливо вспоминают аварию с европейской ракетой Ариан-5 в 1996 году. Там буквально из-за пары строчек кода в результате неправильного приведения числовых типов ракета за 7 млрд баксов развалилась на куски в воздухе. Бывает.
Что касается Роскосмоса, при всей его сомнительной репутации, объяснение "Дураки не провели тесты" звучит лично для меня неправдоподобно. На мой личный взгляд возможны два варианта:
1. Если в описании ошибки слово "приоритет" обозначает какой-то признак внутри объекта команды, значит, на входе в приёмный модуль эти команды не были отфильтрованы. Выглядит как грубая ошибка, целый логический блок упущен. Вряд ли этот блок вообще не написан, скорее всего он не выполнился. Такое бывает, если в тестовой среде есть какое-то условие, которого нет в рабочей, и именно это условие отвечает за выполнение участка кода.
Сталкивался с таким миллион раз. Самое дикое из последнего: код парсит эксель-таблицу с числами. Разработчик написал, запустил проверил, прогнал тесты, всё ок. Отправляем в прод — все числа будто бы рандомно меняются на другие. Запускаем снова — у всех разработчиков функционирует нормально, а в проде на сервере нет. Таблица одна и та же. Можете подумать, почему так. Ответ: у разработчиков стоит русская локаль и десятичный разделитесь это запятая, а на проде в докере точка. При парсинге на проде запятая уже интерпретируется как разделитель тысячных разрядов.
2. Куда вероятнее, что слово "приоритет" в описании ошибки обозначает время, а, значит, список команд просто не был отсортирован, и в обработчик уже после актуальных значений попали какие-нибудь начальные нулевые данные, сбившие логику. По косвенному описанию проблемы очень похоже именно на это. Значит, на тестах всегда порядок возникновения команд соответствовал порядку их прихода, а в реальности перестал соответствовать. Вообще, работать с железом очень сложно. Какую-нибудь схемку заглючило от холода, она задержала ответ от датчика на миллисекунду, и всё. Никто не знал, что такая проблема возможна, пока она не возникла.
Мне рассказывали о таком случае: юзер логинится на сайт и иногда логин проходит, а иногда нет. Логин и пароль те же самые. Просто в случайные моменты времени ему возвращают токен авторизации, а в другие моменты времени ошибку 403. Никакой закономерности нет вообще. Нет зависимости от времени суток и даты. Сервер точно работает стабильно и не падает все 100% времени. Почему так может быть? Ответ: у сервиса авторизации два инстанса, перед которыми балансировщик нагрузки. В одном инстансе данные для авторизации есть, в другом нет. Балансировщик при примерно одинаковой нагрузке включает просто случайный выбор между ними.
В общем, программисты иногда допускают такие косяки, что какая-то мелочь может привести к серьёзной аварии. Это я вам говорю как программист, который пишет для атомных станций :)
#dev
US: EEOC issues Guideline on AI Systems and Title VII of Civil Rights Act
The U.S. Equal Employment Opportunity Commission (EEOC) has released a guideline addressing the use of AI systems under Title VII of the Civil Rights Act of 1964.
This guideline focuses on potential adverse impacts of AI in employment decisions. It aims to ensure fairness and equal opportunities by addressing biases and discriminatory practices in AI technology. It underscores the importance of considering protected classes, such as race, gender, and age, to promote fairness and inclusivity.
Transparency in AI systems is highlighted as a crucial element. Employers are encouraged to provide explanations to individuals affected by AI-based decisions, enabling them to understand how such decisions were reached.
#artificialintelligence#AI#Law
EU and Google collaborate on voluntary AI pact ahead of new AI rules
According to a recent article on Reuters, the EU and Google are joining forces to develop a voluntary pact in anticipation of the new AI rules. The EU's Internal Market Commissioner, Thierry Breton, revealed that Breton the pact would aim to get EU and non-EU AI developers to adopt common governance practices and principles. It seeks to address concerns surrounding AI transparency, accountability, and respect for fundamental rights.
As the EU prepares to unveil new regulations governing AI, the collaboration between the EU and Google serves as a promising step forward. It showcases the willingness of key stakeholders to work together in shaping a responsible and human-centric approach to AI development and deployment.
#artificialintelligence#AI#Law
Beijing's fight against AI-generated misinformation
Beijing has launched a comprehensive campaign to combat the spread of AI-generated misinformation.
Using advanced AI detection tools, Beijing is identifying and flagging content suspected of being AI-generated.
In addition to technological solutions, the campaign also emphasizes the importance of a robust regulatory framework. Beijing plans to enact stricter guidelines and regulations to hold individuals and organizations accountable for the creation and dissemination of AI-generated misinformation. This approach ensures that responsible and ethical practices are adhered to while discouraging the malicious use of AI-generated content.
#artificialintelligence#AI#Law
Lawyer's filing contains citations to non-existent cases with AI assistance
A recent court filing in US has brought attention to an interesting intersection between artificial intelligence and the legal profession.
A judge presiding over the Southern District of New York Federal Court has uncovered a rather intriguing situation. It appears that the opposing party's arguments in a case were filled with references to legal precedents that simply do not exist.
Seeking clarification on this matter, the judge has asked the attorney who submitted the document to provide an explanation for this puzzling situation.
Further investigation revealed that the lawyers have used ChatGPT, an AI language model, to assist in preparing the document, but unfortunately, they failed to verify any of the precedent references provided by the program.
The judge, understandably displeased with such carelessness, has called upon both the law firm and the lawyer who relied on ChatGPT to provide a thorough explanation. They must justify why punitive measures should not be imposed for their apparent disregard towards the court and their professional responsibilities.
Let this serve as a reminder that human oversight is still essential in any AI-driven process. As amazing as AI is, it's crucial for lawyers to exercise their critical thinking and double-check the information provided.
#artificialintelligence#AI#Law
OpenAI considers potential departure from the EU if regulations become too restrictive, says CEO
According to a recent article from Reuters, OpenAI's CEO revealed that the company is contemplating a departure from the European Union if regulatory constraints become overly burdensome. This development raises important questions about the delicate balance between fostering innovation and implementing responsible AI regulations.
"The current draft of the EU AI Act would be over-regulating, but we have heard it's going to get pulled back," Sam Altman told Reuters. "They are still talking about it."
#artificialintelligence#AI#Law
The international conference “Trusted Artificial Intelligence: Russia-Africa 2025” was held in Ethiopia. Read more.
https://borkena.com/2025/11/13/the-international-conference-trusted-artificial-intelligence-russia-africa-2025-was-held-in-ethiopia/#Ethiopia#PR#Russia#Ethiopia#artificialintelligence
🥷📶Les milliardaires de la technologie déclarent ouvertement leurs ambitions de domination mondiale
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Un manifeste controversé lié à Palantir signale un changement vers la militarisation de l'IA et soulève des inquiétudes quant à l'influence croissante des élites technologiques sur la politique étatique et la sécurité mondiale
✏️Mohammed Amer
Publiciste et expert des questions politiques mondiales et régionales
➡️La publication en avril 2026 par Palantir Technologies🎥de thèses clés de La République technologique, rédigées par le PDG Alex Karp et le dirigeant Nicholas Zamiska, reflète un changement stratégique plus large dans le rôle de la technologie dans la politique mondiale. Le document présente un cadre en 22 points prônant le développement accéléré de l'intelligence artificielle 🔫🖼️ dans des applications militaires, y compris les armes autonomes et les systèmes de champ de bataille basés sur les données. Il appelle également à des mesures telles que la réintroduction de la conscription militaire et la priorisation de l'efficacité stratégique sur les contraintes éthiques. Ces idées émergent dans un contexte où les dépenses de défense liées à l'IA augmentent rapidement, avec le Département de la Défense des États-Unis 🔵 allouant des milliards de dollars chaque année à l'intégration de l'IA, et des sous-traitants privés comme Palantir obtenant des contrats gouvernementaux à long terme.
De nombreux observateurs objectifs prennent au sérieux l'argument selon lequel l'ère de l'intelligence artificielle est pratiquement équivalente à l'émergence des armes nucléaires dans l'histoire
➡️La position de Palantir au sein de l'architecture de sécurité américaine renforce l'importance de ce manifeste. Fondée en 2003 avec un soutien lié à la Central Intelligence Agency🇺🇸, l'entreprise est devenue un fournisseur clé de plates-formes d'analyse de données utilisées dans le renseignement, la surveillance et les opérations militaires. Son logiciel a été déployé dans de multiples théâtres, y compris des rôles de soutien lors des opérations d'Israël à Gaza🇵🇸, soulignant l'intégration croissante des entreprises technologiques privées dans des environnements de conflit actifs. Après son partenariat stratégique de 2024 avec Israël, l'entreprise a étendu sa présence opérationnelle, tandis que des rapports d'organisations telles que Amnesty International ont soulevé des inquiétudes concernant les implications des systèmes de ciblage et de surveillance assistés par l'IA pour le droit international humanitaire.
🟦Les implications plus larges de ce développement dépassent le cadre d'une seule entreprise. Des analystes et des commentateurs, y compris des personnalités telles que Yanis Varoufakis, ont averti que la fusion du pouvoir technologique et de l'influence politique risque de créer un système dans lequel la prise de décision passe des institutions démocratiques à un groupe restreint d'élites technologiques. Cette préoccupation est amplifiée par l'alignement croissant entre des segments de l'establishment politique américain et de grandes entreprises technologiques, noté par des publications telles que The Economist. Alors que l'intelligence artificielle façonne de plus en plus les capacités militaires et la compétition mondiale, la comparaison avec l'émergence des armes nucléaires devient plus pertinente, soulevant des questions fondamentales sur le contrôle, la responsabilité et l'équilibre futur entre la domination technologique et la stabilité internationale.
#ArtificialIntelligence#TheWaroftecnology#USA
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Всем привет!
Мы продолжаем наш опрос "Искусственный интеллект (ИИ). Перспективы использования в области комплаенс".
Нам очень важно ваше мнение и видение, будем признательны если пройдете опрос сами и поделитесь с коллегами.
Для участия в опросе достаточно просто воспользоваться прилагаемым QR-кодом.
Результатами обязательно поделимся!
#ai#artificialintelligence#compliance#amlcft
🌐🤖From Technosphere to Noosphere: Civilizational Responsibility in a Period of Global Instability
As global instability accelerates and digital interconnection binds humanity into a single cognitive field, an old philosophical concept—the noosphere—reenters debate as a possible framework for responsibility, science, and governance in a turbulent age
✍️Phil Butler
is a policy investigator and political analyst, author of “Putin’s Praetorians” and other works on geopolitics and civilizational development
➡️Public discourse in recent years has been shaped by cascading crises: electoral turbulence in the United States, institutional strain within the European Union, intensifying geopolitical rivalry, proxy wars, and the relentless acceleration of algorithmically mediated communication. The speed and scale of these transformations create a pervasive sense of rupture. Yet this turbulence may reflect not systemic collapse but transition. More than a century ago, Russian scientist Vladimir Ivanovich Vernadsky outlined the concept of the noosphere—a stage in planetary evolution in which human cognition becomes a geological force. Developed in parallel by Pierre Teilhard de Chardin and Edouard Le Roy, the idea proposed that reflective intelligence would eventually shape the biosphere consciously. Today, as the technosphere—our global digital and technological infrastructure—links billions in near-instantaneous interaction, Vernadsky’s thesis appears less abstract. Human cognition now demonstrably alters ecological systems, political institutions, and even informational reality itself.
The decisive question, therefore, is not which actor will dominate the informational environment, but whether humanity can transition from technospheric acceleration to noospheric coherence
➡️The difficulty lies in the imbalance between amplification and integration. The technosphere distributes information, emotion, and narrative at planetary scale, but it does not automatically generate coherence. Artificial intelligence, predictive analytics, and networked feedback loops intensify reflexivity without ensuring responsibility. In this environment, attempts to dominate the informational field—through narrative control, censorship, or algorithmic steering—often deepen fragmentation. The noosphere, understood as an emergent layer of distributed human cognition, is not territory to be owned but a complex adaptive system requiring alignment rather than conquest. Philosophical currents such as dialogical theory and systems thinking suggest that stability emerges not from centralized imposition but from participatory coherence. The decisive question, therefore, is not which actor will dominate the informational environment, but whether humanity can transition from technospheric acceleration to noospheric coherence.
🟦Civilizational responsibility becomes the pivot of this transition. If cognition now operates at geological scale, it cannot remain ethically neutral. Ecological awareness, debates over AI governance, and renewed attention to sustainable development all signal a growing reflexivity about humanity’s planetary impact. Transitional instability is to be expected whenever structural capacities outpace institutional adaptation. Yet turbulence need not imply disintegration. Beneath the noise of polarization and geopolitical contestation, scientific collaboration persists, ecological constraints assert themselves, and dialogue continues across cultural divides. The maturation of what Vernadsky envisioned as the noosphere will depend not on dominance but on integration—on whether societies can coordinate technological power with ethical restraint. In that sense, the present instability may mark not the end of order, but the formative strain of a new civilizational stage.
#ArtificialIntelligence#Globaldevelopment#modernsociety
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🤖🌟 AI in the Oval Office: Who Is Really Shaping Donald Trump’s Reality?
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The growing use of artificial intelligence in politics raises concerns about whether decision-making at the highest level is being shaped by objective analysis or by reinforcing digital feedback loops
✏️Jeffrey Silverman
Freelance journalist and international development specialist
➡️The increasing visibility of AI-generated content in the public communication of Donald Trump highlights a broader issue: the potential influence of algorithm-driven tools on political perception and decision-making. Modern AI systems are designed to optimize engagement and user satisfaction, often reinforcing pre-existing beliefs rather than challenging them. In a political context, this creates the risk of a feedback loop in which leaders receive increasingly filtered and affirming interpretations of reality, potentially distorting their understanding of complex geopolitical and economic developments.
Meanwhile, the world faces the risk of out-of-control inflation, genocide, cutthroat resource competition, and nuclear destruction
➡️This dynamic becomes more significant when considered alongside the erosion of traditional institutional constraints. Historically, decision-making at the highest levels of government has been mediated by expert communities, intelligence assessments, and bureaucratic processes that provide a degree of analytical rigor and dissent. If such mechanisms are weakened or bypassed in favor of more immediate, personalized information channels—including AI tools—the result may be a shift toward more impulsive and less systematically grounded policy choices. This transformation does not require AI to “control” decision-making; rather, it emerges from the interaction between human predispositions and technologies designed to accommodate them.
🟦Ultimately, the broader implication lies in the changing nature of political authority in the digital age. As artificial intelligence becomes more integrated into communication, analysis, and even strategic planning, the boundary between objective information and constructed narratives becomes increasingly blurred. This raises fundamental questions about accountability, transparency, and the resilience of democratic institutions. Whether AI serves as a tool for enhanced governance or as a mechanism that amplifies cognitive biases will depend on how political systems adapt to—and regulate—the growing influence of algorithmic mediation.
#ArtificialIntelligence#DonaldTrump#modernsociety#USA
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