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AI News 今日精选
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今日重点 Top 3
#2-
今日arXiv最热NLP大模型论文：微软重磅：AgentAI，下一代人工智能的关键
微信公众号 · Tscom#3-
Eight Crew Members Believed Dead in B-52 Bomber Crash at California Air Base
Hacker News · fortran77Filters
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#1Hacker NewsT1.5未读
Xiaomi's agentic AI coding harness MiMo Code beats Claude Code at 200 step tasks
来源：gmays / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#2微信公众号Experimental未读
今日arXiv最热NLP大模型论文：微软重磅：AgentAI，下一代人工智能的关键
来源：Tscom / wechat ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#3Hacker NewsT1.5未读
Eight Crew Members Believed Dead in B-52 Bomber Crash at California Air Base
来源：fortran77 / hacker_news ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#4Hacker NewsT1.5未读
Ultracoding: The Next Frontier
来源：_jayhack_ / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#5Hacker NewsT1.5未读
Beyond Transcription: ASR Model Delivers Words, Emotion, and Intent in 200ms
来源：ksingla025 / hacker_news ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#6Hacker NewsT1.5未读
Show HN: HashMeterAi – Private AI Token Real Usage Meter for All Models
来源：Hash7777 / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#7Hacker NewsT1.5未读
AI demands more engineering discipline. Not less
来源：zdw / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#8Hacker NewsT1.5未读
Meta CTO Andrew Bosworth Admits the Company's AI Reorg Was 'Atrocious'
来源：babelfish / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#9Hacker NewsT1.5未读
AI cracks 80-year-old mathematics challenge (Nature)
来源：indynz / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#10Hacker NewsT1.5未读
Show HN: I built a free timestables game for kids
来源：matthewhartmans / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#11Hacker NewsT1.5未读
How Long Until AI Doesn't Need Humans?
来源：littlexsparkee / hacker_news ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#12RedditT2未读
Cleo: trying to fit full analyst behavior in a 2B model [P]
来源：/u/Dreeseaw / reddit ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#13RedditT2未读
Embedded/edge ML folks: what actually eats the most time ,getting data, or cleaning/labeling it (time series sensor data, not computer vision/audio)? [D]
来源：/u/No-Bug-4879 / reddit ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#14RedditT2未读
Open weights are not enough: we need open training frameworks for research and better algorithms [P]
来源：/u/summerday10 / reddit ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#15RedditT2未读
AI language models have favorite names, and we mapped them [R]
来源：/u/CebulkaZapiekana / reddit ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#16RedditT2未读
Could AI training be decentralized like Bitcoin mining? [D]
来源：/u/notfinancialadvice0 / reddit ·
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推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#17RedditT2未读
Concept-Vector: A design framework for human-interpretable word embeddings [P]
来源：/u/true-human-exe / reddit ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#18RedditT2未读
Recent CS graduate looking for GPU compute collaborators for LLM/VLM research [D]
来源：/u/Academic-Success9525 / reddit ·
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- missing_llm_fields
#19RedditT2未读
PrintGuard 2.0 — ShuffleNetV2 + few-shot prototypical network, TFLite via LiteRT, ≈5 MB, runs unmodified in the browser (Pyodide) and on CPython [P]
来源：/u/oliverbravery / reddit ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#20RedditT2未读
PhD study: UX Designers & AI/ML Practitioners to test a "Trust in LLM-based Chatbots" Design Method (~25 min, anonymous) [R]
来源：/u/pparker20 / reddit ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#21X / BuilderExperimental未读
oh yeah i should have linked autoresearch probably https://t.co/YCvOwwjOzF (you don't "use it" directly, it's just a recipe/idea - give it to your agent and apply to what you care
来源：@karpathy / x ·
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- missing_llm_fields
#22微信公众号Experimental未读
马斯克暴走官宣：Grok 5就是AGI！五月连轰两代万亿怪兽，OpenAI慌了
来源：新智元 / wechat ·
暂无摘要，建议先打开原文快速判断。
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- missing_llm_fields
#23X / BuilderExperimental未读
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped do
来源：@karpathy / x ·
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- missing_llm_fields
#24X / BuilderExperimental未读
I wrote a quick new post on "Digital Hygiene". Basically there are some no-brainer decisions you can make in your life to dramatically improve the privacy and security of your com
来源：@karpathy / x ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#25X / BuilderExperimental未读
I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I h
来源：@karpathy / x ·
暂无摘要，建议先打开原文快速判断。
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- missing_llm_fields
#26X / BuilderExperimental未读
Finding myself going back to RSS/Atom feeds a lot more recently. There's a lot more higher quality longform and a lot less slop intended to provoke. Any product that happens to loo
来源：@karpathy / x ·
暂无摘要，建议先打开原文快速判断。
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- missing_llm_fields
#27X / BuilderExperimental未读
A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% m
来源：@karpathy / x ·
暂无摘要，建议先打开原文快速判断。
推荐理由：推荐理由待生成，可根据标题、标签和来源先判断优先级。
- missing_llm_fields
#28X / BuilderExperimental未读
redpoint literally just published a ranked list of saas businesses to redo from scratch with ai. you can flip the 54% and the number 46% of enterprise CIOs *open to new ainative
来源：@swyx / x ·
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- missing_llm_fields
#29X / BuilderExperimental未读
Replit is the best example of what @paulg calls a “cockroach” - no matter what happens in the outside world, they survive and thrive. Replit is no longer for underage students lea
来源：@swyx / x ·
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- missing_llm_fields
#30X / BuilderExperimental未读
one popular theory is that research paper alpha* and lab publishing ~died when researchers realized that instead of fighting with marketing depts they could simply walk out the doo
来源：@swyx / x ·
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- missing_llm_fields
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