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AI Post — Artificial Intelligence

AI Post — Artificial Intelligence

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🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational

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📈 Telegram 频道 AI Post — Artificial Intelligence 的分析概览

频道 AI Post — Artificial Intelligence (@aipost) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 719 580 名订阅者,在 技术与应用 类别中位列第 113,并在 美国 地区排名第 20

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 719 580 名订阅者。

根据 02 九月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -30 205,过去 24 小时变化为 -1 271,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 0.79%。内容发布后 24 小时内通常能获得 0.56% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 5 687 次浏览,首日通常累积 4 061 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 926
  • 主题关注点: 内容集中在 openai, airline, cell, claude, patient 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational

凭借高频更新(最新数据采集于 03 九月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

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719 580
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-1 27124 小时
-7 8897 天
-30 20530 天
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日期
订阅者增长
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频道
03 九月0
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频道帖子
New York City has decided to pause student-facing generative AI tools in public schools through eighth grade. This moratorium
New York City has decided to pause student-facing generative AI tools in public schools through eighth grade. This moratorium impacts almost 600,000 students, eliminating the use of generative AI and related chatbots in those grades. It also prohibits the use of companion chatbots for students at all grade levels. For high school students, the approach is more limited. Up to 50,000 students will be able to participate in five pilot programs supervised by teachers. Additionally, all high schoolers will receive AI literacy classes twice a year. Previously, New York City public schools temporarily banned ChatGPT shortly after its release in 2022, before later adopting a custom AI teaching assistant. A randomized Harvard study found that college students using a purpose-built AI tutor achieved greater learning gains than those in a traditional active-learning classroom, often with less time spent. 📰 @aipost

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The U.S. government has formally supported OpenAI’s central argument in its copyright dispute with The New York Times, statin+2
The U.S. government has formally supported OpenAI’s central argument in its copyright dispute with The New York Times, stating that training AI models on copyrighted materials alone does not breach copyright law. In its filed statement, the Department of Justice argued that training large language models (LLMs) on copyrighted texts is “transformative” and fits within fair use doctrine. The DOJ separated the issues of data acquisition, training, and output generation, focusing specifically on model training as a non-infringing act. The document highlights potential national security risks and competitive disadvantages if U.S. AI development faces excessive copyright restrictions. The filing is advisory and does not bind the court, which must assess fair use on a case-by-case basis. 📰 @aipost
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🥺 Sam Altman: “A year ago, I did not think we were on a short-term trajectory to superintelligence. Now I think it may happe
🥺 Sam Altman: “A year ago, I did not think we were on a short-term trajectory to superintelligence. Now I think it may happen.” “I’m not confident it’s going to happen. We’re just making extremely fast progress.” @aipost 🏴
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Ⓜ️ Meta released Muse Spark 1.3 The newest AI model from Meta Superintelligence Labs outperforms GPT-5.6 Sol, Claude Opus 5,
Ⓜ️ Meta released Muse Spark 1.3 The newest AI model from Meta Superintelligence Labs outperforms GPT-5.6 Sol, Claude Opus 5, and Claude Fable 5.1 on DeepSWE v1.1 @aipost 🏴
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Gemini 3.8 Flash has been released, offering notable improvements in several key benchmarks. On the HLE-Verified test, Gemini
Gemini 3.8 Flash has been released, offering notable improvements in several key benchmarks. On the HLE-Verified test, Gemini 3.8 Flash achieved a score of 54.9%, slightly ahead of Claude Opus 5, which scored 54.4%. In the Terminal-Bench 2.1 evaluation—focused on task completion within coding, security, machine learning, data science, and systems—Gemini 3.8 Flash reached an 89.4% completion rate. In Harvey's Legal Agent Benchmark, Gemini 3.8 Flash recorded a 10.0% score, compared to Opus 5's 6.7%. This benchmark employs a strict all-pass rule, granting credit only when every legal criterion is met, including factual accuracy, structure, and analysis within complex legal workflows. Google has maintained the token price. However, Gemini 3.8 Flash may use more tokens on challenging tasks, potentially increasing total costs. 📰 @aipost
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❗️Google engineer Linwei Ding convicted in the FIRST AI espionage case in US history. He stole 2,000+ pages of Google's most+1
❗️Google engineer Linwei Ding convicted in the FIRST AI espionage case in US history. He stole 2,000+ pages of Google's most secret AI chip blueprints while secretly building a Chinese startup to REPLICATE Google's AI infrastructure. The judge threw out ALL seven espionage charges, calling him "disorganized and feeble" rather than a spy. He still faces seven trade secret theft counts, each carrying up to 10 years. @aipost 🏴
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Size matters… @aipost 🏴
Size matters… @aipost 🏴
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❗️Anthropic has now been SUED by EVERY major music label on Earth. Sony and Warner are the latest to accuse the $2 TRILLION c+1
❗️Anthropic has now been SUED by EVERY major music label on Earth. Sony and Warner are the latest to accuse the $2 TRILLION company of pirating songs from Taylor Swift, The Beatles and Michael Jackson to train Claude. The publishers are seeking up to $150,000 PER work infringed, with the lawsuit naming CEO Dario Amodei personally. Anthropic already paid Universal Music $1.5 BILLION to settle the same claim last year. @aipost 🏴
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Me with $20 plan 🥲 @aipost 🏴
Me with $20 plan 🥲 @aipost 🏴
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Sam Altman is teasing Astra, while considering the consequences In the tweet he discusses how OpenAI have prioritized safety,+1
Sam Altman is teasing Astra, while considering the consequences In the tweet he discusses how OpenAI have prioritized safety, while continuing to move forward with iterative deployment so that society can co-evolve with AI OpenAI is preparing to enter a new paradigm @aipost 🏴
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🇺🇸 Trump: Reject AI data centers and risk becoming “backwards and poor” Trump says communities that reject data centers are
🇺🇸 Trump: Reject AI data centers and risk becoming “backwards and poor” Trump says communities that reject data centers are essentially choosing to fall behind, arguing that these facilities can bring jobs, investment and lower taxes. Trump also warned that resistance to data center construction could benefit China, saying the country “could not be happier” about the growing backlash. Communities across the U.S. are increasingly pushing back because massive AI data centers can consume huge amounts of electricity and water, while residents worry about higher utility bills, noise and the local environmental impact. More than 70% of Americans surveyed say they don’t want a data center near their home. Source. @aipost 🏴
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Dyson just released a new AI-powered toothbrush with an integrated 100,000-pixel macro lens camera for $499. @aipost 🏴
Dyson just released a new AI-powered toothbrush with an integrated 100,000-pixel macro lens camera for $499. @aipost 🏴
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🍫 Snickers just made a candy bar for ChatGPT ChatGPT gives you a terrible answer? Don’t argue with it. Feed it a Snickers. �
🍫 Snickers just made a candy bar for ChatGPT ChatGPT gives you a terrible answer? Don’t argue with it. Feed it a Snickers. 😂 Snickers has launched “Hungr.AI,” a digital candy bar that users can give to an AI assistant when it starts hallucinating, acting strangely, or agreeing with everything you say. It’s not just an image, the digital Snickers contains instructions that tell the AI to reconsider its previous response and try answering the question again after taking a metaphorical “byte” of the candy bar. It’s basically Snickers’ “You’re Not You When You’re Hungry” campaign… except now the hungry one is ChatGPT. And honestly, AI probably needs a Snickers sometimes. Source. @aipost 🏴
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Being out this weekend @aipost 🏴
Being out this weekend @aipost 🏴
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🤖 Anthropic just dropped Claude Fable 5.1 and Mythos 5.1 Anthropic says its newest models are its most advanced yet for codi
🤖 Anthropic just dropped Claude Fable 5.1 and Mythos 5.1 Anthropic says its newest models are its most advanced yet for coding, research, and knowledge work and Fable 5.1 looks like a serious upgrade. Fable 5.1 scores 55.8% on Terminal-Bench 4.0, compared with 42.0% for Fable 5. On Terminal-Bench-Science, it hits 52.6%, more than double its predecessor. It’s not just smarter. It can deliver similar or better results at lower effort levels, while cache reads cost 75% less. Anthropic says this can cut real-world costs by around 25%, and up to 45% for highly agentic workloads. Anthropic is also rolling out stronger enterprise privacy with Enterprise Frontier Safeguards, while claiming its cybersecurity safeguards now flag benign requests about 60% less often. And Fable 5.1 isn’t limited to coding. Its research capabilities are being positioned as an early look at how AI could eventually contribute to scientific discovery. Fable 5.1 is available now. Mythos 5.1, built for cyberdefenders and life scientists, is available through trusted-access programs. Source. @aipost 🏴
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How ChatGPT will look like under full EU control. @aipost 🏴
How ChatGPT will look like under full EU control. @aipost 🏴
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🗣Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics” The U.S. is already payin
🗣Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics” The U.S. is already paying over $1 trillion a year just in interest on the national debt. The only real escape is enormous productivity growth AI → intelligence at near-zero marginal cost Robots → physical labor at massive scale Together they can dramatically increase economic output, lower the cost of goods and services and expand the tax base The race is basically: Can we build AI + robotics fast enough to unlock abundance before the debt becomes impossible to outrun? @aipost 🏴
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OpenAI has reportedly bought tens of thousands of Mac minis and Mac Studios for reinforcement learning and computer-use agent
OpenAI has reportedly bought tens of thousands of Mac minis and Mac Studios for reinforcement learning and computer-use agents while Anthropic is renting Macs through Amazon AWS. Apple hardware is becoming a lot more relevant to AI workloads than we thought entering this year as memory capacity starts to matter more relative to raw GPU performance. @aipost 🏴
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ChatGPT Ads achieved a $1 billion annualized revenue run rate in less than 200 days, following an initial $100 million milest
ChatGPT Ads achieved a $1 billion annualized revenue run rate in less than 200 days, following an initial $100 million milestone reached six weeks after launch. OpenAI has set a 2026 ad revenue forecast at $2.4 billion, facing pressure due to slower early-month performance compared to the current growth rate. Future projections indicate a target of nearly $11 billion in ad revenue for 2027 and $102 billion by 2030. This forecast assumes ad revenue per user will climb from about $3.50 in 2024 to around $60 by 2030. OpenAI reports tens of thousands of advertisers use ChatGPT Ads in more than 40 countries. Self-service access is expanding further, including India, Europe, the Middle East, and North Africa. ChatGPT’s weekly active users now exceed one billion. Advertising remains limited to the Free and Go tiers. Advertisers are unable to access private conversations, and paid ads do not influence responses. 📰 @aipost
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Remote job interviews face new challenges as AI-driven cheating, deepfakes, and use of stand-in interviewers undermine tradit
Remote job interviews face new challenges as AI-driven cheating, deepfakes, and use of stand-in interviewers undermine traditional identity verification practices. In response, employers have introduced new measures. Candidates are now required to perform specific actions—such as moving their hands across their faces—to demonstrate their presence and identity on video calls. These steps aim to address the increased difficulty in confirming candidate authenticity during remote recruitment processes. This trend reflects growing concerns among employers about verifying applicants in virtual environments. 📰 @aipost
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