Near бросает вызов гигантам ИИ: анонсирована модель в 3,5 раза мощнее Llama

cryptonews.ruPubblicato 2024-07-11Pubblicato ultima volta 2024-11-11

Near Protocol анонсировал разработку крупнейшей в мире модели искусственного интеллекта с открытым исходным кодом, признанной экстремистской в России Meta.

Амбициозный проект был представлен на конференции Redacted в Бангкоке. Разработка будет осуществляться через краудсорсинговые исследования на новой платформе Near AI Research hub, где участники уже сегодня могут присоединиться к тренировке начальной модели с 500 миллионами параметров.

Особенности проекта

Развитие системы планируется через семь последовательных моделей возрастающей сложности. При этом только лучшие разработчики получат доступ к работе над более продвинутыми версиями. Монетизация проекта и защита конфиденциальности будут обеспечены через использование зашифрованных Trusted Execution Environments.

По словам сооснователя Near Protocol Ильи Полосухина (Illia Polosukhin), затраты на обучение модели составят около $160 млн. «Это значительная сумма, но в криптоиндустрии такие средства привлечь реально», — отметил он.

«Держатели токенов будут получать вознаграждение от использования модели. У нас есть бизнес-модель, способы монетизации, привлечения средств и их реинвестирования в следующие версии», — добавил Полосухин.

Near — один из немногих криптопроектов, способных реализовать столь масштабную задачу. Полосухин является соавтором революционной работы о трансформерах, которая легла в основу ChatGPT, а второй сооснователь Алекс Скиданов (Alex Skidanov) работал в OpenAI перед выпуском этой модели в конце 2022 года.

Технические вызовы

Скиданов, возглавляющий Near AI, признает наличие серьезных препятствий. Для обучения такой крупной модели потребуются «десятки тысяч GPU в одном месте», что не идеально. А для использования децентрализованной сети вычислений «нужна новая технология, которой пока не существует». Впрочем, последние исследования Deep Mind указывают на возможность решения этой проблемы.

Децентрализованный ИИ как необходимость

Выступивший на конференции Эдвард Сноуден (Edward Snowden) подчеркнул риски централизованного ИИ для приватности. «Это, вероятно, важнейшая технология сейчас и в будущем. Если ИИ контролируется одной компанией, мы фактически будем делать то, что она скажет», — заявил он.

«Если весь ИИ и экономика сосредоточены в руках одной компании, о децентрализации речи не идет. Философия Web3 остается актуальной только при наличии ИИ, следующего тем же принципам», — добавил Сноуден.

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Tiger Research: Three Strategies for Financial Institutions to Keep Up with the Tokenization Wave

Tiger Research's in-depth report analyzes the strategic choices for financial institutions entering the rapidly growing Real-World Asset (RWA) tokenization market. With the market projected to be worth $25-36 billion and a lack of complete regulatory frameworks in many jurisdictions, institutions face three options: waiting for domestic legislation, using regulatory sandboxes for limited experiments, or moving first into established overseas markets to gain a competitive edge. Tokenization is not magic; it requires meticulous preparation. Before entry, institutions must strategically plan across six core areas: choosing a jurisdiction, obtaining necessary licenses, defining the asset type, targeting the appropriate investor base, selecting settlement currencies, and designing operational requirements like custody and governance. The report outlines two main operational paths. The first is a direct jurisdictional path, establishing a legal presence in mature markets like Hong Kong, Singapore, or the U.S., often leveraging local licensed platforms to accelerate market entry. The second is a chain-native path, using platforms like Ondo or Plume that are built with regulatory compliance embedded, allowing for faster, more flexible market access without being tied to a specific jurisdiction. Ultimately, the report advises against waiting for perfect regulation. The preparation process can take 6-12 months and requires thorough legal review. Using the example of a mid-sized securities firm, it details steps from evaluating existing entities to final execution. The core message is that accumulating real-world operational experience is paramount, as the market is moving ahead and will not wait for latecomers.

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Unitree's IPO Frenzy: The Real Mystery is How It Will Spend the 42 Billion Raised

Unitree, a Chinese robotics company, is set for a public listing after its IPO registration was approved by regulators. The company, which started with quadruped robots and has expanded into humanoids, plans to raise approximately 4.2 billion yuan through its offering. The article traces Unitree's rapid growth from its founding in 2016 to its current status. It highlights key milestones like the 2021 CCTV Spring Festival Gala performance, the 2023 launch of its affordable Go2 robot dog and the H1 humanoid robot, and a series of subsequent product launches. By 2025, the company reported revenue of 1.71 billion yuan, profitability, and sales exceeding 5,500 humanoid robots. As the first publicly-listed humanoid robot company on China's STAR Market, Unitree's main challenges are sustaining growth and deploying its newly raised capital effectively. The humanoid robot sector in China is crowded, with over 140 companies. Competitors include UBTech (focusing on industrial and consumer markets), Fourier, and international players like Tesla Optimus and 1X NEO. The article outlines three critical challenges for Unitree: establishing a strong second product line beyond its quadruped robots, maintaining its price advantage while ensuring quality, and successfully advancing its embodied AI capabilities through partnerships like the one with NVIDIA for the H2 Plus platform. Unitree's likely strategy involves a "developer tools + industry benchmarks" approach: using low-cost models like the R1 and G1 to build developer adoption and volume, leveraging high-end platforms for AI training, and securing pilot projects in sectors like logistics and manufacturing to build case studies. The company's future success hinges on converting its current momentum in shipments and pilot programs into sustainable, large-scale commercial contracts as the broader market evolves.

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