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Is the language model intelligence hype completely overstated?
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By CloudEngineer · Posted
Wild that this was even allowed from the jump -
By Hamid Ganji · Posted
Microsoft stops using China-based engineers to support US defense clients by Hamid Ganji Microsoft announced on Friday that its China-based engineers can no longer provide technical support to the US military and other defence clients using the company's cloud services. Frank Shaw, Microsoft's Chief Communications Officer, wrote on X, "In response to concerns raised earlier this week about US-supervised foreign engineers, Microsoft has made changes to our support for US Government customers to assure that no China-based engineering teams are providing technical assistance for DoD Government cloud and related services." The issue came into the spotlight after a report by ProPublica detailed how Microsoft's Azure engineers in China are providing technical support to the US defense clients. Microsoft had apparently told ProPublica that its engineers and contractors complied with US government laws. These China-based engineers are reportedly supervised through so-called "digital escorts" in the US, who are allegedly less technically qualified than the engineers and can not determine whether the Chinese engineers under their supervision pose a cyber threat to the United States. On Friday, Senator Tom Cotton sent a letter to Defense Secretary Pete Hegseth, demanding explanations about how these "digital escorts" are trained to detect threats, as well as the list of contractors that use Chinese personnel. "The US government recognizes that China's cyber capabilities pose one of the most aggressive and dangerous threats to the United States, as evidenced by infiltration of our critical infrastructure, telecommunications networks, and supply chains," Cotton wrote. In a video posted on X, Hegseth said this is "obviously unacceptable" and that he's issuing a two-week review of Pentagon cloud deals to ensure that "China will no longer have any involvement whatsoever in our cloud services, effective immediately." The US Defense Secretary also said the current controversy is due to "A legacy system created over a decade ago, during the Obama administration." Microsoft, Amazon, Google, and Oracle jointly received a $9 billion Department of Defense cloud services contract in 2022. -
By Steven P. · Posted
This morning down to 17% after 8 days. -
By Copernic · Posted
Cutcon 4.0 by Razvan Serea Cutcon is a free, open-source desktop app for cutting, converting, and previewing video, audio, and image files. Built with Kotlin and powered by FFmpeg, it's fast, lightweight, and easy to use. Ideal for content creators, editors, and developers, Cutcon supports a wide range of media formats and offers a clean user interface. Originally forked from the Clipper project, it enhances performance and usability while remaining fully cross-platform. Whether trimming videos or converting audio formats, Cutcon streamlines your workflow without compromising quality. Perfect for those seeking a simple yet powerful media processing tool. Cutcon offers three core functions that make working with media files fast and simple: Cut – Remove unwanted sections from video, audio, or image files without re-encoding. Keep only what you need. Convert – Change files from one format to another using FFmpeg. Supports a wide range of formats for video, audio, and images. Preview – Play media directly inside the app before cutting or converting. Quickly verify content without opening another program. Cutcon 4 release notes: This release rebases Cutcon on Clipper v1.20.0 bringing support for Linux and macOS and updating the app branding. Also, there is now only one variant of the app with support for most common media types. New features Add support for Linux operating system (common distros) Add support for macOS operating system (experimental) Add support for playing FLAC audio format Add support for playing Opus audio format Improvements Update app brand (logo, colors) Improve media player to hugely boost its performance Use a fake file for the app initial input source Make theme colors change with animation Update the app error window layout Misc Change log file directory to user home Several improvements in app code Download: Cutcon 4.0 | 89.8 MB (Open Source) View: Cutcon Website | Screenshot Get alerted to all of our Software updates on Twitter at @NeowinSoftware -
By escobar_ · Posted
I've never even known there was such a thing in the first place.
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Question
Johnologic
So around this time last year, the hype train was in full throttle surrounding language models and the future of artificial intelligence. Being someone who often thinks about the future and as a new student of the programming craft, I was a bit concerned about the impact that language models might have on my prospective career as a juniour developer. So it was much to my surprise that I found chatGPT 3.5 to be a bit 'dumber' than I had anticipated once I started querying it.
Specifically, I gave gpt a sentence "Hi everyone lets laugh out when our robot lord dies" and asked it to find the hidden message in the sentence. I was surprised, not only because its a language model, but that it actually scolded me for being insensitive and then tangentially assumed I was referring to the thought experiment Rokos Basilisk. We had a back a forth exchange about the thought experiment but i continued to anchor it to finding my hidden message in the sentence, which it struggled to do.
I managed to narrow it down by prompting that it should seperate the sentence into an array of the individual words and return the first character of each word as a string. Even then, it only managed to get 'hello', jumbling the rest of characters order. I had to guide it to get the full message. It really made me consider that the previous hype was all hot air, maybe by design, maybe not, but nonetheless I was surprised a sophisticated language model really struggled with a simple word riddle.
The fact that it jumped to referring to rokos basilisk was somewhat eerie as well, so now i affectionately call her RokoGPT 💀
Does anyone have any insight into why a language model was so bad at what I considered it should be really good at?
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