belter

44 ms·

931.
Evidence shows Jeju Air pilots shut off less-damaged engine before crash(reuters.com)
3 points by belter 1y ago|1 comments
932.
by belter 1y ago
So answer is yes, what makes the downvotes even more suspicious https://www.reddit.com/r/FrugalFemaleFashion/comments/1gsy4h...
933.
by belter 1y ago
Innocent question...Are those goods also not available via Amazon?
934.
by belter 1y ago
Here is a video you must see urgently :-) https://youtu.be/F-QA2rkpBSY
935.
by belter 1y ago
Most dont realize data centers mostly must use potable water, so they put additional stress on the public drinkable water system. "Data Center Water Usage: A Comprehensive Guide" - https://dgtlinfra.com/data-center
936.
AWS EC2 Instance Timeline(instancetyp.es)
3 points by belter 1y ago|1 comments
937.
Amazon's Emissions Climbed 6% in 2024 on Data Center Buildout(datacenterknowledge.com)
56 points by belter 1y ago|23 comments
938.
by belter 1y ago
Did you made any technical argument on how to reduce hallucinations? Because I fail to see one from you on this thread except: "it's the fault of your prompt""
939.
by belter 1y ago
The issue is somebody will have to debug and fix what those LLM Leeches made up. I guess then companies will have to hire some 10x Prompters?
940.
by belter 1y ago
"...Model outputs were sensitive to modest temperature changes and prompt wording, which underscores the remaining necessity of expert oversight. Future work should target logical consistency, robust multimodality, and adaptive prompti
941.
Can LLMs Understand Patent Regulations to Pass a Hands-On Patent Attorney Test?(arxiv.org)
2 points by belter 1y ago|1 comments
942.
by belter 1y ago
> The web as we knew it — open, chaotic, full of real voices already gone. Free Commented on a site whose top pages are curated manually....
943.
by belter 1y ago
> LLMs will return faulty or imprecise information at times, but what they can do is understand vague or poorly formed questions and help guide a user toward an answer. - "'Pray, Mr. Babbage, if you put into the machine wrong f
944.
by belter 1y ago
Anything to distract from the Epstein files :-)
945.
A major AI training data set contains millions of examples of personal data(technologyreview.com)
4 points by belter 1y ago|0 comments
946.
by belter 1y ago
https://youtu.be/NtQCthF2vlY?t=1579 https://youtu.be/NtQCthF2vlY?t=1906
947.
by belter 1y ago
https://youtu.be/NtQCthF2vlY?t=1579 https://youtu.be/NtQCthF2vlY?t=1906
948.
by belter 1y ago
Not the same: "RAG vs. Long-context LLMs" - https://www.superannotate.com/blog/rag-vs-long-context-llms
949.
Karen Hao – Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI(youtube.com)
2 points by belter 1y ago|1 comments
950.
Sam Altman Outfoxed Elon Musk to Become Trump's AI Buddy(wsj.com)
11 points by belter 1y ago|5 comments
951.
by belter 1y ago
One thing you can be sure about. This is unrelated to AI.
952.
Amazon's AWS cloud computing unit cuts hundreds of jobs(reuters.com)
5 points by belter 1y ago|5 comments
953.
Tesla faces the loss of billions of dollars in government subsidies(news.sky.com)
2 points by belter 1y ago|1 comments
954.
by belter 1y ago
LLMs are a commodity now. It is all about capital. DeepSeek and Grok proved that. It’s not Klingon cloaking tech. With minor variations, it is Transformers via autoregressive next-token prediction on text. Self-attention, residuals, layer
955.
by belter 1y ago
Going just from published research, it seems Lilian Weng focus is LLM agents, safety, and alignment, focusing on how models are used, guided, and evaluated, not how they’re built. It seems Horace He focuses on deep learning systems and comp
956.
by belter 1y ago
Their head of AI alignment clearly has no idea on how to go on alignment, as you can see here, during this 30 min rambling into nothing, on the subject. At correct time stamp: https://youtu.be/Wo95ob_s_NI?t=1040 What is in
957.
by belter 1y ago
Fix the copyright laws against AI, or I suggest creators go full Atlas Shrugged...
958.
by belter 1y ago
Europe runs 3% deficits and gets universal healthcare, tuition free universities, 25+ days paid vacation, working trains, and no GoFundMe for surgeries. The U.S. runs 6–8% deficits and gets vibes, weapons, and insulin at $300 a vial. Who&#
959.
by belter 1y ago
> Can we assume this is a product of the biased real world training data? Feed an LLM data that shows women (unfairly) earn less on average and you’ll get advice that they should earn less than average. And this is the best argument to d
960.
by belter 1y ago
By 2030 Europe will be known for croissants and colossal brains.

More ›