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科技前沿 The Verge AI

Here’s a bunch of Prime Day deals on keyboards, mice, and other peripherals we like

RAMageddon has come for computers. The price of memory chips, hard drives, and solid state storage has skyrocketed. That’s led to price increases on desktop and laptop RAM, SSDs, spinning hard drives, and pretty much everything that uses any of those things. Consoles are more expensive. Desktops are more expensive. Laptops are more expensive. Tablets […]

Antonio G. Di Benedetto 2026-06-26 01:47 12 原文
AI 资讯 Reddit r/MachineLearning

ECCV 2026 camera-ready deadline: June 27 or June 30? [D]

In the recent Springer/Meteor email, it says: The deadline for the upload of the camera-ready manuscripts and source files is 30 June. This is a hard deadline and will not be extended. However, in the same email, the Meteor submission line for my paper says: submission due: June 27, 2026 A previous email from the ECCV Program Chairs also stated that the camera-ready deadline had been extended to 30.06 AoE and that this deadline is final. Does anyone know whether June 27 is just an internal/default Meteor due date, or whether it is the actual deadline for uploading in Meteor? Since the email says there is only one upload and the first upload is final, I want to avoid uploading too early if June 30 is the correct deadline. this is really confusing. submitted by /u/National-Resident244 [link] [留言]

/u/National-Resident244 2026-06-26 01:38 6 原文
AI 资讯 Reddit r/MachineLearning

Would having a dedicated programming language specifically for LLMs be a viable solution? [D]

What if there was a new programming language where the meaning of each token was so dense (or perhaps so specific) that an LLM could write robust code with fewer tokens and faster inference? Assuming there’s enough training data, do you think something like this allow an LLM to write better code faster? Rationale: 1) It would allow for faster inference. Fewer tokens required to do the same thing in Python = finish faster. 2) It would allow for more information in a 1M context window. Whatever you could fit in 1M tokens of Python, you could do 100x that in this theoretical language. 3) It would effectively remove the “noise” from human readable language (semi-colons, curly braces for example) which I would think would make the LLMs coding ability stronger. I could be wrong about this of course. submitted by /u/Spongebubs [link] [留言]

/u/Spongebubs 2026-06-26 01:38 5 原文
AI 资讯 Reddit r/MachineLearning

[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost

Token-based billing is causing my company to reevaluate small language models. I came across this paper that shows SLM supervised fine-tuning on traces from orchestration of frontier models can be nearly as performant and much cheaper. Has any tried this in the real world? submitted by /u/ThirdWaveCat [link] [留言]

/u/ThirdWaveCat 2026-06-26 01:31 5 原文
AI 资讯 Schneier on Security

AI and Liability

Earlier this month, a German court ruled that Google is liable for its AI search summaries. Rejecting defenses like “users can check for themselves,” and that they generally know “that information generated with AI should not be blindly trusted,” the court held that the AI’s summaries are reflections of the company and “above all an expression of Google’s business activities.” This is the latest skirmish in a decades-old battle over internet publishing. Historically, there were two different types of information distributors: carriers and publishers. A phone company is a carrier. It’ll transmit whatever you say, even discussions about committing a crime. Words are words, and the phone company does not know—nor is it liable for—the words you choose to speak. A newspaper, on the other hand, is a publisher. It decides the words it publishes, and what quotes to include in its articles. If those words or quotes are defamatory or otherwise illegal, it’s liable...

Bruce Schneier 2026-06-26 01:03 12 原文
AI 资讯 Hacker News RSS

Besimple AI (YC P25) Is Hiring

Article URL: https://www.ycombinator.com/companies/besimple-ai/jobs/yWfhhOR-strategic-projects-lead-audio-data Comments URL: https://news.ycombinator.com/item?id=48676256 Points: 0 # Comments: 0

yzhong94 2026-06-26 01:00 3 原文
AI 资讯 The Verge AI

Xbox prices spike another $100 or more

Microsoft is increasing the prices of Xbox consoles again. Starting August 1st, 512GB models will be $100 more expensive, while 1TB models will be $150 more expensive. This means that the Xbox Series S will start at $499.99, the Xbox Series X without a disc drive will start at $749.99, and the Series X with […]

Jay Peters 2026-06-26 00:49 9 原文