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AIHot 风格 · 个人 AI 资讯雷达
AI News 今日精选
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生成时间:2026-06-20 00:34
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今日重点 Top 3
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Show HN: Ratchet – let an AI agent reflash your BIOS over a CH341A (MCP server)
Hacker News · JackLau#3-
The GPU Myth: State of AI Compute 2026 | Stephen Balaban
YouTube / 播客 / RSS · The MAD Podcast with Matt TurckFilters
当前筛选:全部,默认隐藏已忽略
#1微信公众号Experimental未读
谷歌地表最强模型深夜来袭!Gemini 2.5 Pro发布即屠榜,代码推理杀疯了
来源:新智元 / wechat ·
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- missing_llm_fields
#2Hacker NewsT1.5未读
Show HN: Ratchet – let an AI agent reflash your BIOS over a CH341A (MCP server)
来源:JackLau / hacker_news ·
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- missing_llm_fields
#3YouTube / 播客 / RSST1.5未读
The GPU Myth: State of AI Compute 2026 | Stephen Balaban
来源:The MAD Podcast with Matt Turck / rss ·
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- missing_llm_fields
#4Hacker NewsT1.5未读
Aikido Code Audit
来源:ilreb / hacker_news ·
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- missing_llm_fields
#5Hacker NewsT1.5未读
Automating model design for edge AI
来源:webstorms / hacker_news ·
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- missing_llm_fields
#6Hacker NewsT1.5未读
Our edge AI compiler outperforms Google and vendor toolchains
来源:webstorms / hacker_news ·
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- missing_llm_fields
#7Hacker NewsT1.5未读
Iran requires insurance on ships using Strait of Hormuz, fees likely to follow
来源:decimalenough / hacker_news ·
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- missing_llm_fields
#8Hacker NewsT1.5未读
Boarding Pass Is a Skeleton Key. Frontier Airlines Doesn't Care
来源:scrtm / hacker_news ·
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- missing_llm_fields
#9Hacker NewsT1.5未读
What are good benchmarks to test my CLI AI agentic system?
来源:daniel_ward / hacker_news ·
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- missing_llm_fields
#10Hacker NewsT1.5未读
The AI startup with no AI: Aussie boss jailed for misleading investors
来源:contingencies / hacker_news ·
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- missing_llm_fields
#11Hacker NewsT1.5未读
Ask every top AI at once. Compare. Pick the best
来源:MarkoRocko / hacker_news ·
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- missing_llm_fields
#12RedditT2未读
Dealing with a messy prescriptive monolith. How do you survive this? [D]
来源:/u/DescriptionBorn153 / reddit ·
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- missing_llm_fields
#13RedditT2未读
Fearless Concurrency on the GPU: Safe GPU inference in Rust, competitive with vLLM/SGLang [R]
来源:/u/Exciting_Suspect9088 / reddit ·
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- missing_llm_fields
#14RedditT2未读
Voice debugging at the conversation level seems far more useful than isolated benchmark metrics [D]
来源:/u/OwlZealousideal4779 / reddit ·
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- missing_llm_fields
#15微信公众号Experimental未读
DeepMind:智能体越多越乱,Agent天花板出现了?
来源:N/A / wechat ·
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- missing_llm_fields
#16X / BuilderExperimental未读
Three days ago I left autoresearch tuning nanochat for ~2 days on depth=12 model. It found ~20 changes that improved the validation loss. I tested these changes yesterday and all o
来源:@karpathy / x ·
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- missing_llm_fields
#17微信公众号Experimental未读
MiniMax押注线性注意力,让百万级长文本只用1/2700算力|对话MiniMax-01架构负责人钟怡然
来源:N/A / wechat ·
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- missing_llm_fields
#18X / BuilderExperimental未读
a smarter alternative to "always use plan mode": always frame your task as a question, so that the model is invited to push back and rate the quality of the idea/suggest alternat
来源:@swyx / x ·
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- missing_llm_fields
#19微信公众号Experimental未读
全模态模型Qwen2.5-Omni开源,7B尺寸实现全球最强性能
来源:N/A / wechat ·
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- missing_llm_fields
#20X / BuilderExperimental未读
my notes from the @midjourney medical launch - @Scobleizer compared this to the original iPhone and Tesla launches (that he was also front row for) - find you a man who looks at y
来源:@swyx / x ·
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- missing_llm_fields
#21X / BuilderExperimental未读
this is a big deal, on the order of Kelsey Hightower’s “Kubernetes The Hard Way” and probably all ai engineers should go thru this once mostly i advocate “just in time learning”,
来源:@swyx / x ·
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- missing_llm_fields
#22微信公众号Experimental未读
DeepSeek-V3.1震撼发布,全球开源编程登顶!R1/V3首度合体,训练量暴增10倍
来源:新智元 / wechat ·
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- missing_llm_fields
#23X / BuilderExperimental未读
And @NotebookLM broke another usage record, students are loving it for finals, and we announced an AI Ultra plan with monster rate limits and the feature to remove visible watermar
来源:@joshwoodward / x ·
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- missing_llm_fields
#24微信公众号Experimental未读
AI Agent,为什么是AIGC最后的杀手锏?
来源:胡晓萌、陈楚仪 / wechat ·
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- missing_llm_fields
#25X / BuilderExperimental未读
The Genesis Mission is a brilliant set of ideas. Very excited to deepen @OpenAI's partnership with the DoE and the National Labs in the name of AI and national security 🇺🇸
来源:@kevinweil / x ·
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- missing_llm_fields
#26X / BuilderExperimental未读
It seems some people are misinterpreting comments @thefriley made in Davos. To be 100% clear: she was not saying that OpenAI plans to take a share of individual users’, entrepreneu
来源:@kevinweil / x ·
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- missing_llm_fields
#27X / BuilderExperimental未读
Could not agree more. Curious for everyone's take on how we best address this, given the relative speed of model improvement vs peer review.
来源:@kevinweil / x ·
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- missing_llm_fields
#28X / BuilderExperimental未读
And remember: the AI models you're using today are the worst AI models you'll use for the rest of your life.
来源:@kevinweil / x ·
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- missing_llm_fields
#29X / BuilderExperimental未读
OpenAI models are getting quite good at solving really hard problems. The next stage is accelerating scientific discovery, and we're beginning to see strong early signs.
来源:@kevinweil / x ·
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- missing_llm_fields
#30Hacker NewsT1.5未读
Get with the times – here's what a 'Luddite' means today
来源:cdrnsf / hacker_news ·
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- missing_llm_fields
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