Стандартная библиотека asyncio это стандарт (начиная с Py3.4) для работы с асинхронным кодом. Но эта библиотека достаточно низкоуровневая, со своими проблемами, устаревшими подходами.
Чтобы исправить это, были созданы разные обертки и альтернативы с реализацией популярных инструментов и паттернов асинхронного программирования. Это такие библиотеки как:
- trio: улучшает корректность выполнения, не оставляя потерянных корутин при ошибках, то есть предлагает Structured Concurrency из коробки.
- curio: упрощение синтаксиса и читаемости кода, больше похоже на работу с потоками.
- anyio: универсальная обертка над asyncio или trio плюс множество вспомогательных инструментов.
anyio используется в FastAPI как основная библиотека для работы с асинхронным кодом и вызовом синхронного кода из асинхронного.
В общем, рекомендую почитать про возможности anyio, возможно вы более не будете использовать чистый asyncio в своих проектах)
Это совсем не значит что дефолтный asyncio плох, он тоже даёт достаточный для работы функционал и продолжает развиваться. Например, в версии 3.11 появились TaskGroup, с похожим на trio функционалом. Так что он тоже актуален, просто придется больше написать кода самостоятельно.
#libs#async
Robert Downey Jr. Stands Against AI Replication in Hollywood
Robert Downey Jr. recently voiced a strong stance against AI digital replicas on the "On With Kara Swisher" podcast, declaring he would sue any future Hollywood executive attempting to recreate his likeness with AI. The actor, known for his iconic role as Iron Man, clarified he’s not concerned about Marvel reusing his character, as he trusts the current decision-makers. However, he firmly opposes future AI-driven recreations of his image or identity even after his death.
“You’ll be dead,” Swisher noted, to which Downey replied: “But my law firm will still be very active.”
Downey also critiques the role of tech industry giants, like OpenAI's Sam Altman, in controlling AI’s direction, labeling it a “massive error” when leaders frame themselves as exclusive gatekeepers.
Downey’s words add to the broader conversation on ethical AI use, artistic integrity, and the need for strong, transparent leadership.
#AIGovernance#AIEthics#IntellectualProperty
🇺🇸AI-assisted works can get copyright with enough human creativity, says US copyright office
The U.S. Copyright Office has clarified that AI-assisted works can be copyrighted — if they contain sufficient human creativity. In its newly released Part 2 of the AI Report, the Office reaffirms that copyright law can accommodate new technologies but insists that human authorship remains essential. Simple prompting alone isn’t enough, but if a person "modifies, arranges, or integrates AI-generated content creatively", it may qualify for copyright protection.
This decision sets a clear precedent for industries like film, music, and digital art. It also rejects calls to extend copyright to purely AI-generated outputs, emphasizing that copyright law exists to "protect human creativity—not machine-generated content". As AI tools become more integrated into creative workflows, the line between assistance and authorship will continue to be tested.
#AI#Copyright#IntellectualProperty
Major Record Labels Sue AI Start-Ups for Copyright Violation
The world’s biggest music labels, including Sony Music, Universal Music Group, and Warner Records, are suing AI start-ups Suno and Udio for alleged copyright infringement on an unprecedented scale. They claim that the software of these companies illegally copies music to generate similar works and are seeking $150,000 per violation.
This lawsuit, announced by the Recording Industry Association of America, marks a significant challenge against AI firms' use of copyrighted material. The record labels argue that AI-generated songs like "Prancing Queen" are nearly indistinguishable from original tracks by bands like ABBA, threatening genuine human artistry and the entire music ecosystem.
#AI#Copyright#IntellectualProperty
🎼Sony Develops Tech to Trace Copyrighted Music in AI-Generated Songs
Sony Group has created a technology capable of identifying original music embedded in AI-generated songs, enabling songwriters to seek compensation if their works were used. The system analyzes which artists’ recordings contributed to training and generation, quantifying shares of influence. With developer cooperation, it connects to base models for data access; without it, the tool estimates sources by comparing AI outputs with existing music.
The initiative responds to growing disputes over alleged unauthorized use of copyrighted material in AI training, including songs mimicking famous singers’ voices. The company believes the technology could support revenue-sharing mechanisms for original creators based on measured contribution and help rights holders collect royalties from AI developers. Japan’s copyright framework distinguishes between authors’ rights and neighboring rights of performers and producers, both potentially affected.
Developed by Sony AI, the approach may extend to video, games, and characters, and could be integrated into AI models or licensing negotiations, though no deployment timeline has been set. Industry observers note uncertainty over whether AI developers will adopt such tools, as performance improvements often take precedence over intellectual property safeguards.
#Copyright#AIGovernance#IntellectualProperty
🤔G‘oyalarni tijoratlashtirish va intellektual mulkni himoya qilish: innovatsion kelajak sari muhim qadam.
🇺🇿2024-yil 3-oktyabr kuni Adliya vazirligida intellektual mulkni himoya qilish bo‘yicha innovatsion korxonalar va startaplar uchun "G‘oyalarni tijoratlashtirish" uslubiy qo‘llanmasi taqdimotiga bag‘ishlangan tadbir bo‘lib o‘tdi.
👨💻Commercialization of Ideas and Intellectual Property Protection: a crucial step towards an innovative future.
🇬🇧On October 3, 2024, a significant event took place at the Ministry of Justice, dedicated to the presentation of the methodological guide “Commercialization of Ideas” aimed at innovative enterprises and startups regarding intellectual property protection.
💠 Коммерциализация идей и защита интеллектуальной собственности: важный шаг к инновационному будущему.
🇷🇺3 октября 2024 года в Министерстве юстициисостоялось мероприятие, посвященное презентации методического руководства «Коммерциализация идей» для инновационных предприятий и стартапов по защите интеллектуальной собственности.
#GraduateSchool#ComIdeas#IntellectualProperty
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🇺🇸US Copyright Office Draws the Line on AI Training and Fair Use
The U.S. Copyright Office in its recent draft report has concluded that commercial AI training using vast amounts of copyrighted material likely falls outside fair use. While acknowledging that AI training can be transformative, the report stresses that when models generate content competing directly with original works, particularly through unauthorized access, this "goes beyond established fair use boundaries." The message is clear: creators' rights must not be sidelined in the rush to commercialize AI outputs.
The Office points to licensing as the practical path forward — not statutory reform. It highlights emerging voluntary agreements but admits they are uneven across sectors. Encouraging licensing markets to mature is seen as the best way to balance AI innovation with intellectual property rights. The goal: ensure that both tech innovators and creative industries continue to thrive without one undermining the other.
Although this is a pre-publication version, the report states: "The Office is releasing this pre-publication version of Part 3 in response to congressional inquiries and expressions of interest from stakeholders. A final version will be published in the near future, without any substantive changes expected in the analysis or conclusions."
#AI#FairUse#IntellectualProperty
🇺🇸Khan v. Figma
The Khan v. Figma lawsuit highlights a core governance challenge in the AI era: whether companies can unilaterally repurpose user-generated content for model training after years of promising not to. The complaint alleges that Figma, long positioned as a trusted cloud-based environment for design collaboration, quietly switched on “Content Training” for large segments of its user base in 2024, enabling the company to train generative-AI models on proprietary creative assets, trade secrets, and commercially sensitive material. For a platform whose value depends on users uploading IP-protected content, the shift represents a fundamental break in expectations.
The case underscores a deeper structural pressure: as AI competitiveness becomes a valuation driver, even non-AI-native platforms may be incentivized to tap their data reservoirs, regardless of earlier contractual commitments.
#AI#IntellectualProperty#AICompliance#AIEthics
🇩🇪Penguin Random House Sues OpenAI Over AI Copyright Claims
Penguin Random House filed a lawsuit in Munich against OpenAI’s European subsidiary, alleging that ChatGPT reproduced and mimicked content from Ingo Siegner’s “Coconut the Little Dragon” series. According to the claim, the model generated text, illustrations, a cover, and additional materials in response to prompts, producing outputs described as “virtually indistinguishable” from the original works.
The publisher argues this demonstrates unlawful “memorisation” of copyrighted material by the model. The case raises questions about whether such outputs constitute reproduction of protected works. OpenAI stated it is reviewing the allegations and emphasized ongoing discussions with publishers regarding the use of their content.
#AIRegulation#Copyright#AIethics#IntellectualProperty#LegalTech
🇨🇳DeepSeek: Privacy, Ethics, and IP Concerns
DeepSeek’s rise in few days has been met with serious concerns over privacy, intellectual property, and national security:
1️⃣OpenAI has accused DeepSeek of distilling knowledge from its models, potentially violating its terms of use and infringing on intellectual property. If true, this raises major legal and ethical questions about AI model development and competition.
2️⃣ Regulators are also taking action. The Italian Data Protection Authority (DPA) is investigating DeepSeek for possible risks to user data, and eventually has blocked it.
3️⃣ The U.S. Navy has issued a "strict warning" to its members to avoid DeepSeek due to “potential security and ethical concerns.”
With privacy policies stating that user keystroke data may be stored on servers in China, DeepSeek is already facing scrutiny that could impact its global reach.
#AI#Privacy#DataProtection#IntellectualProperty#AIRegulation
YouTube Takes Action to Protect Creators from AI Copycats
In response to growing concerns about generative AI imitating creators’ voices and likenesses, YouTube is rolling out new tools aimed at safeguarding its creators. The platform announced a forthcoming "synthetic-singing identification technology," which will help artists and creators automatically detect and manage AI-generated content that mimics their singing voices. This tool will be integrated into YouTube’s existing Content ID system and is set to launch in a pilot program next year.
Additionally, YouTube is developing a tool to identify facial deepfakes, ensuring that creators, actors, and musicians can maintain control over their digital likeness. These efforts are part of YouTube's broader commitment to ensure that AI enhances, rather than replaces, human creativity. As part of this initiative, YouTube is also cracking down on unauthorized scraping of content, further protecting creators from misuse of their work.
#AI#YouTube#IntellectualProperty#GenerativeAI
🇬🇧UK Reconsiders AI Copyright Exception After Industry Backlash
The UK government has stepped back from plans to allow AI companies to freely use copyrighted material for training by default. The proposal would have permitted data scraping unless rights holders explicitly opted out.
The reversal follows objections from prominent figures in the creative industries, including Paul McCartney, Elton John, Coldplay, Richard Curtis, Antony Gormley, and Ian McKellen. Science minister Liz Kendall stated that consultations with stakeholders — including creatives, AI firms, unions, and academics — led the government to abandon a preferred policy option.
#AIRegulation#Copyright#AIethics#UKpolicy#IntellectualProperty
US Lawmakers Introduce No AI FRAUD Act
Hello everyone! US lawmakers María Elvira Salazar and Madeleine Dean introduced the No Artificial Intelligence Fake Replicas And Unauthorized Duplications (No AI FRAUD) Act on January 10, aiming to safeguard individuals' likeness and voice from exploitation in AI-generated content.
The bill addresses concerns over the misuse of personalized generative AI cloning models, which enable human impersonation and unauthorized creation of fakes using others' images and voices. It seeks to protect the personal rights of individuals, including musical artists, actors, athletes, and even students, whose likeness and voice have been violated.
Examples cited include AI-generated songs featuring famous artists like Drake and The Weeknd, false endorsements using celebrities like Tom Hanks, and the creation of non-consensual and intimate deepfakes, particularly concerning high school girls in a New Jersey town.
Under the No AI FRAUD Act, individuals gain federal intellectual property (IP) rights over their likeness and voice, empowering them to enforce these rights against those responsible for creating, facilitating, or disseminating AI-generated content without their consent. The bill aims to curb the proliferation of AI-generated imitations and deepfakes while protecting individuals' rights and privacy.
#NoAIFRAUDAct#AIPolicy#IntellectualProperty