Илон Маск использует чат-бот Grok для слежки за федеральными чиновниками

investing.ruPubblicato 2025-04-09Pubblicato ultima volta 2025-04-09

Happycoin.club - По информации Reuters, команда Департамента эффективности правительства США (DOGE) под руководством Илона Маска использует искусственный интеллект для того, чтобы читать сообщения государственных служащих в Signal и других приложениях. Эти данные администрация Дональда Трампа могла использовать для «достижения политических целей».

Мессенджер Signal уже не в первый раз упоминается в скандалах федерального масштаба. В марте в секретный групповой чат по ошибке включили журналиста оппозиционной Трампу газеты.

Эксперт по государственной этике из Вашингтонского университета в Сент-Луисе Кэтлин Кларк заявила, что использование DOGE ориентированного на конфиденциальность мессенджера Signal усиливает растущую обеспокоенность по поводу методов защиты.

Если они используют Signal и не сохраняют каждое сообщение в федеральных файлах, то они действуют незаконно, — заявила она.

Журналисты Reuters опросили почти 20 человек, знакомых с работой DOGE, а также изучило сотни страниц судебных документов по искам к Департаменту эффективности. В итоге они выяснили, что команда Маска «нестандартно использует искусственный интеллект и другие технологии в работе федерального правительства».

Так, руководители Агентства по охране окружающей среды сообщили, что их проинформировали о том, что DOGE внедряет ИИ в Microsoft (NASDAQ:MSFT) Teams для наблюдения за сотрудниками.

Читайте оригинальную статью на сайте Happycoin.club

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Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

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Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

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Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

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Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

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