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2026-07-02· 当日存档

AI 日报

英伟达领衔AI基建潮

英伟达推动AI计算规模化，邀请合作伙伴共建基础设施；开源扩散语言模型Nemotron-Labs-TwoTower提升文本生成吞吐量。同时，AI代理在自由职业任务中专业完成率跃升至16%，工业应用加速落地。

行业动态

1
NVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout
英伟达开放AI计算规模，邀伙伴共建基础设施。
NVIDIA深挖 →
2
Nvidia is bankrolling AI startups to loosen Big Tech's grip on its chip business
英伟达投资AI初创，削弱大厂芯片控制。
The Decoder深挖 →
3
NVIDIA and Partners Build in America, for America
英伟达联手伙伴投资美国本土AI制造。
NVIDIA深挖 →
4
Google’s AI buildout drove 37% increase in electricity use in 2025
谷歌AI建设致用电量激增37%，平衡排放。
Ars Technica AI深挖 →
5
OpenAI reportedly offers the Trump administration a five percent stake in the company
OpenAI拟向特朗普政府提供5%股份。
The Decoder深挖 →
6
Meta caps internal AI token spending
Meta因成本高企设定内部AI token上限。
Hacker News深挖 →
7
Cloudflare’s new policy pushes AI companies to pay for publishers’ content
Cloudflare新规要求AI公司为内容付费。
TechCrunch AI深挖 →
8
Venice AI becomes a unicorn with $65M Series A as its privacy-first AI platform takes off
Venice AI获6500万美元融资成独角兽。
TechCrunch AI深挖 →
9
Meta, like SpaceX, looks to turn excess AI compute into cash
Meta计划出租AI算力与云巨头竞争。
TechCrunch AI深挖 →
10
Indian tech tycoon bets $30M of his own money to build AI alternative to Microsoft Office
印度大亨自掏3000万美元造AI办公软件。
TechCrunch AI深挖 →
11
Teaching AI to run with the turbines
AI从消费端转向工业基础设施核心运营。
MIT Tech Review深挖 →

模型动向

12
NVIDIA Releases Nemotron-Labs-TwoTower: an Open-Weight Diffusion Language Model Built on a Frozen Autoregressive Nemotron-3-Nano-30B-A3B Backbone
NVIDIA开源扩散语言模型提升文本生成吞吐。
MarkTechPost深挖 →
13
Open weights just embarrassed GPT. A new open-source model just dropped and it is punching way above its weight class. @altryne and @nisten break down...
开源模型性能超越GPT，用户转向。
X · List深挖 →
14
Anthropic Redeploys Claude Fable 5 on July 1 After US Export Controls Lift, Adds New Cybersecurity Classifier
Anthropic重部署Claude Fable 5并增安全分类。
MarkTechPost深挖 →
15
Meta's non-invasive brain-to-text AI is closing the gap with surgical implants
Meta非侵入式脑机接口AI精度逼近手术植入。
The Decoder深挖 →
16
Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression
谷歌发布TabFM用于表格零样本分类回归。
MarkTechPost深挖 →
17
OpenAI's genomics paper accidentally reveals a Pro lineup it hasn't announced yet
OpenAI论文意外泄露未发布Pro系列模型。
The Decoder深挖 →
18
After spooking Trump into safety testing, Anthropic AI models get global release
Anthropic AI模型获全球发布许可。
Ars Technica AI深挖 →

论文研究

19
AI agents can now complete 16 percent of freelance jobs at pro quality, up from 2.5 percent eight months ago
AI代理自由职业专业完成率升至16%。
The Decoder深挖 →
20
ENPIRE -> ASPIRE, our 2nd work in the series for Physical AutoResearch. We are building the components for robot self-improvement, one /skill at a tim...
机器人技能库ASPIRE实现自我进化。
@DrJimFan深挖 →
21
The map of active Facebook friendships if we trace connections from "Moscow, Russia" vs the extent of the Russian Empire in the late 19th - early 20th...
Facebook好友图与沙俄帝国版图重合。
X · List深挖 →

产品上新

22
SpaceX has an AI device prototype, and it sure sounds phone-ish
SpaceX展示类手机AI设备原型。
TechCrunch AI深挖 →
23
How Inscribe uses Amazon Bedrock to stop document fraud in seconds
Inscribe用Bedrock 90秒检测文档欺诈。
AWS ML深挖 →
24
Since its back, here were my impressions I posted a couple weeks ago of Fable after my time as an early access user (yes, it really is very impressive...
Fable在长难任务中表现惊艳。
@emollick深挖 →

实用技巧

25
Half the takes I see on how Chinese AI strategy is different from American one make me think these people would have said Soviets have a "different ph...
中国AI策略差异实为资源限制而非哲学。
X · List深挖 →
26
You really need to benchmark models for your use case. As soon as judgements & decisions stack on top of each other, the differences between models am...
不同模型实际表现差异大，需按用例基准。
@emollick深挖 →
27
Yes! Pre-classifying routers are going to result in a lot of bad work because routing is hard and tend to underestimate the value of intelligence on m...
预分类路由易致低质量结果。
@emollick深挖 →

快讯

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*Cracks knuckles*
@emollick
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HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank
AWS ML

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