AI 英文奏折
📅 2026年01月13日 | ⚡ 今日精选 20 篇深度情报
X 上的 Rohan Paul：“Social skills are becoming more important for job outcomes and pay. As AI handles more tasks, roles that rely on human interaction are seeing better returns. The economy is increasingly rewarding people with broad abilities—those who work well in teams, solve problems, https://t.co/mgvz9pHGyO”
@rohanpaul_ai
影响力 12.7万
“Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l”
AI Summary
AI时代，社交与协作能力对职业回报愈发重要。
🕒 06:33
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📝 54词
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X 上的 Rohan Paul：“🇨🇳 China put 256 GW of new solar on the grid in H1-25, while the whole world added 380 GW in that same window, so China alone was 67% of global additions. For AI’s progress, electricity abundance is becoming the absolute key competitive variable And now 6 months of solar https://t.co/UBdfYDTDWj”
@rohanpaul_ai
影响力 12.7万
“Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l”
AI Summary
中国上半年新增光伏装机256吉瓦，占全球增量67%，电力正成为AI竞争关键。
🕒 07:24
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❤️ 36
📝 55词
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❤️ 36
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X 上的 Ethan Mollick：“Note this doesn’t yet have all the useful features of Claude Code, not does it have a fully differentiated non-technical UX yet. But it is a sign of how quickly Anthropic is iterating on what seems to be a growing consensus on how individual agents for teal work will operate.”
@emollick
影响力 0.0万
“推特深度观察家”
AI Summary
Claude迭代迅速，智能体开发方向渐成共识。
🕒 05:17
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❤️ 219
📝 52词
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❤️ 219
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X 上的 Rohan Paul：“Taiwan’s main AI server builders ended Dec-25 at a new all-time monthly revenue record of NT$1.59 trillion, up 35.9% year-on-year. Demand is strong enough that the usual “year-end slowdown” just isn’t showing up. These companies are basically the factory floor for a huge chunk https://t.co/PffcuRzYEJ”
@rohanpaul_ai
影响力 12.7万
“Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l”
AI Summary
台湾AI服务器制造商12月营收创1.59万亿新高，同比增长35.9%，行业需求持续强劲。
🕒 06:47
💬 1
❤️ 23
📝 76词
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❤️ 23
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X 上的 Rohan Paul：“LLM training can lock weight matrices to a preset size, learnable multipliers let the model choose the scale. Weight decay, a common training rule that gently shrinks weights each step, can trap matrices at a size set by the optimizer (the update rule), not the data. The https://t.co/FQK69OxAko”
@rohanpaul_ai
影响力 12.7万
“Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l”
AI Summary
可学习乘数使LLM权重矩阵摆脱预设尺寸限制，提升训练效果且无推理成本。
🕒 06:30
💬 2
❤️ 63
📝 141词
💬 2
❤️ 63
📝 141词
X 上的 Charly Wargnier：“What?! You can now run 70B LLMs on a 4GB GPU 🤯 AirLLM is a memory-optimized inference approach that makes very large models usable on low-memory hardware. The key idea is simple: models are loaded one layer at a time. Instead of keeping the full model in memory: → load a https://t.co/xFipXMBbR2”
@datachaz
影响力 0.0万
“推特深度观察家”
AI Summary
AirLLM技术让大模型在低内存GPU上运行，如70B模型仅需4GB显存。
🕒 05:12
💬 1
❤️ 5
📝 141词
💬 1
❤️ 5
📝 141词
X 上的 Aakash Gupta：“Google just fired the opening shot in a $3 trillion protocol war. OpenAI and Stripe launched their Agentic Commerce Protocol (ACP) in September. Shopify, Etsy, Salesforce already signed on. ChatGPT’s Instant Checkout went live with over a million Shopify merchants. Three months”
@aakashgupta
影响力 0.0万
“推特深度观察家”
AI Summary
谷歌与OpenAI在3万亿美元代理商务协议战中展开对决，零售商普遍采取双重押注策略。
🕒 04:44
💬 1
❤️ 15
📝 358词
💬 1
❤️ 15
📝 358词
X 上的 Boris Cherny：“Since we launched Claude Code, we saw people using it for all sorts of non-coding work: doing vacation research, building slide decks, cleaning up your email, cancelling subscriptions, recovering wedding photos from a hard drive, monitoring plant growth, controlling your oven.”
@bcherny
影响力 0.0万
“推特深度观察家”
AI Summary
Claude推出Cowork，支持非编程任务，含浏览器自动化等新功能，现为Mac用户提供研究预览。
🕒 04:21
💬 178
❤️ 2650
📝 191词
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❤️ 2650
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X 上的 Ksenia_TuringPost：“If you found Manifold-Constrained Hyper-Connections (mHC) from DeepSeek a breakthrough, you should also know the full story behind residual connections ↓ 1. For 30 years, deep learning has been shaped by one fear losing – the learning signal. Sepp Hochreiter formalized the https://t.co/XRcsoAkPEO”
@theturingpost
影响力 0.0万
“推特深度观察家”
AI Summary
残连接从1991年理论提出，经LSTM、ResNet、Transformer演进，至2025年发展为可学习且稳定的流形约束超连接。
🕒 07:05
💬 2
❤️ 53
📝 181词
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❤️ 53
📝 181词
X 上的 TechHalla：“4 Branding ref prompts wanna see what you guys can create with them! 1. Helios ☀️ DIRECTIVE: Corporate branding master shot for “HELIOS” Solar Systems, Oxygen Series. SUBJECT/CHARACTER DEFINITIONS: A minimalist solar isotype. A solid obsidian circle (Sun mass) intersected by https://t.co/kKA0VJs4XF”
@techhalla
影响力 0.0万
“推特深度观察家”
AI Summary
摘要：展示四个品牌设计提示，包含Helios太阳系与Skaldr声学品牌，强调极简主义、生物形态与高端商业风格。
🕒 03:13
💬 3
❤️ 9
📝 588词
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❤️ 9
📝 588词
X 上的 Rohan Paul：“This paper learns hidden action codes from messy internet videos, so world models can be trained without action labels. They teach a model to watch 2 frames and infer the action that caused the change. A world model is a video predictor that tries to guess what happens next, https://t.co/SmJpHvrtC0”
@rohanpaul_ai
影响力 12.7万
“Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l”
AI Summary
本文提出从无标注视频中学习隐式动作编码，以训练世界模型进行视频预测与规划。
🕒 08:56
💬 3
❤️ 160
📝 236词
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❤️ 160
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X 上的 Rohan Paul：“The paper finds that training an LLM on wrong reasoning traces helps it handle unfamiliar tasks better. Most supervised fine tuning, or SFT, keeps only traces with the correct final answer and dumps the rest, which wastes data and hurts out of domain performance, meaning https://t.co/tYzEHcgUv8”
@rohanpaul_ai
影响力 12.7万
“Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l”
AI Summary
研究提出，利用错误推理轨迹训练大模型，能提升其在陌生任务上的泛化能力。
🕒 07:33
💬 6
❤️ 69
📝 198词
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❤️ 69
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X 上的 Rohan Paul：“AI has crossed a key threshold. Its now participating in mathematics by generating nontrivial arguments, uncovering hidden structure, and solving famous valued problems without a predefined path. We now have a working loop where AI proposes a full argument, a proof assistant https://t.co/LCVZ2IVLz2”
@rohanpaul_ai
影响力 12.7万
“Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l”
AI Summary
AI已能自主生成数学论证，并与人类专家协同验证。
🕒 19:32
💬 23
❤️ 221
📝 57词
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❤️ 221
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X 上的 LudovicCreator：“FIREFLY BOARDS is my favorite tool when it comes to ideation. The possibilities are huge : * Create a new brand * Design a shirt * Plan a photoshoot * Plan a campaign * Create moodboards
@ludoviccreator
影响力 0.0万
“推特深度观察家”
AI Summary
Firefly Boards是Adobe旗下多功能创意工具，可用于品牌设计、内容策划等，本文展示其旅行主题创作流程。
🕒 01:15
💬 29
❤️ 70
📝 159词
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❤️ 70
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X 上的 Santiago：“I’ve consulted for 100+ companies over the last 3 years. You’d be shocked at how many teams struggle to build and deploy AI/ML systems that work for real users. Many of these teams are running workflows in spreadsheets and have no clue how to implement a process that scales and”
@svpino
影响力 0.0万
“推特深度观察家”
AI Summary
基于百家企业的实战经验，AI/ML工程课程传授系统落地方法，2月2日开课。
🕒 02:28
💬 7
❤️ 41
📝 170词
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❤️ 41
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X 上的 Anthony Pompliano 🌪：“Half of Americans are struggling to afford a normal life, but the Federal Reserve is spending $3 billion to build themselves a castle fit for a king. $3 billion! I don’t know who is right or wrong on the recent allegations. The politics of it all are for someone else to figure https://t.co/HKtGpKhLGc”
@apompliano
影响力 183.1万
“Investor. Not Financial Advice. Bitcoin and AI maxi. Stanford PhD. \”
AI Summary
美民众困顿之际，美联储斥资30亿建奢华总部，引发争议。
🕒 21:20
💬 943
❤️ 7060
📝 75词
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❤️ 7060
📝 75词
X 上的 Anthony Pompliano 🌪：“If you think it is important to manage finances better, you will probably like @cfosilvia We built the product to leverage the latest AI models to help anyone better manage their finances and investment portfolio. Try it free: https://t.co/587F3GzJzR”
@apompliano
影响力 183.1万
“Investor. Not Financial Advice. Bitcoin and AI maxi. Stanford PhD. \”
AI Summary
半数美国人生活拮据，美联储却斥资30亿建奢华总部。
🕒 01:37
💬 943
❤️ 7060
📝 51词
💬 943
❤️ 7060
📝 51词
X 上的 Bearly AI：“Marc Andreesen on pricing trends in AI: ▫️usage pricing is great for AI startups (and happening because hyperscale just tacking it onto existing usage-based cloud business) ▫️AI founders doing a lot of interesting pricing experiments (can you pay a % of what an equivalent https://t.co/wX6dFl6Se4”
@bearlyai
影响力 1.6万
“Post about latest AI news, tools, tutorials and memes.”
AI Summary
AI初创企业采用按用量计费，并尝试创新定价模式，高定价有助于企业再投资以提升服务。
🕒 01:32
💬 1
❤️ 12
📝 75词
💬 1
❤️ 12
📝 75词
X 上的 Philipp Schmid：“The Gemini API now natively supports GCS Buggest and External URLs (Signed Urls from AWS or Azure) for improved file inputs! 🆕 Register Google Cloud Storage files directly without re-uploading data. (max 2GB) 🆕 Fetch content from public URLs or AWS S3 and Azure pre-signed https://t.co/qpm2nMm4Qh”
@_philschmid
影响力 0.0万
“推特深度观察家”
AI Summary
Gemini API支持GCS、AWS、Azure文件直读，无需重新上传，最大2GB，支持多种格式。
🕒 01:26
💬 4
❤️ 41
📝 64词
💬 4
❤️ 41
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X 上的 Tiezhen WANG：“Want to train your TTS model from scratch with your own cool features? 🎤 Important release for Open-Source SPEECH AI! 🌍 The incredible LEMAS team from IDEA has dropped the dataset they used to train LEMAS, which is also the largest open-source multilingual speech dataset https://t.co/XoL47CbSl4”
@xianbao_qian
影响力 0.0万
“推特深度观察家”
AI Summary
IDEA发布最大开源多语言语音数据集，含15万小时10种语言数据，并推出两款语音AI模型。
🕒 14:50
💬 2
❤️ 50
📝 110词
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❤️ 50
📝 110词
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