Is there a version for Windows 7 as well? Because, that was the last good design from anyone from that era and everything just went downhill after that.
14,240 karma · joined October 11, 2011
However, the second part of the problem - the AI comments, that's really what kills the discussion and eventually the community. If I have trust issues that I'm talking to a bot but not a real user, I am not going to engage further. I might or might not flag the account, but at some point, I'm going to be tired of reporting if everywhere around me it's just bots pretending to be humans. I think this is the more serious problem that needs focus.
In my experience, sloppy AI content almost always, sometime instantly even gets flagged out.
Not blaming you, just highlighting the flaw in your argument. Because, the lack of mention of that word IS a culture issue.
You can be political, but go be political in a political forum. HN has always maintained etiquette in this regard of being a tech forum. Why do this here? A lot of us don't give a fuck about US politics or any politics for that matter.
Anthropic's Claude Code was caught steganographically marking requests[0] - for a "privacy first" AI company that's a huge violation of user trust. And yet, a lot of users still love Anthropic and hail it as some sort of hero here. Selective outrage is a very dangerous thing.
[0] https://thereallo.dev/blog/claude-code-prompt-steganography
Is it really "slop" if you keep falling for AI written articles again and again? Doesn't that actually mean the opposite - the AI seemingly convinced you (or almost) that it was written by a realy human?
Classic
While resume's are being filtered left and right, they just make TikTok's on company's dime [1]. What a sad state of affairs.
On the contrary, I personally think these broader benchmarks are meaningless. I think personalized benchmarks are the way to go. They should answer "How does this model perform for MY use-case?" rather than trying to answer "How does this model perform across all coding environments?"
Case in point: I use Elixir which is not as popular as Python, is always a hit or miss with most SOTA models at the top of these benchmarks. Whereas, the ones in the middle of the benchmarks (like the GLM) almost always outperform even SOTA models from Google / Anthropic. However, this is relevant only for my use case and I wouldn't just advocate a model for everyone based off my use-case alone.
The flawed assumption here is assuming elections are an exception to every other democratic process riddled with corruption and are operated fair and square, in general.
When it comes to favorite companies of the tech communities, it's almost always "Rules for thee, but not for me"
The standard stance is "they can do no wrong and they are absolutely perfect". I mean, look at any thread with anything about Apple in it.
>> Siri recordings are only ever stored to improve Siri. Apple does not share personal data or recordings with advertisers. There was a lawsuit based on coincidence alone.
https://www.theguardian.com/technology/2019/jul/26/apple-con...
https://www.theguardian.com/technology/2019/jul/26/apple-con...
Apple told the Guardian: “A small portion of Siri requests are analysed to improve Siri and dictation. User requests are not associated with the user’s Apple ID. Siri responses are analysed in secure facilities and all reviewers are under the obligation to adhere to Apple’s strict confidentiality requirements.” The company added that a very small random subset, less than 1% of daily Siri activations, are used for grading, and those used are typically only a few seconds long.
That's what they told you to believe. Every other manufacturer also had smartphones with batteries at the time and they were not doing this FYI. That was just marketing speak by Apple. Please stop citing marketing speak.
This is not the core issue, though. The core issue is not disclosing financial incentives while commenting something positive / negative.
I've never ever seen anyone, especially Apple shareholders disclose this here whenever they brush off something Apple did with malice - Eg. slowing down users' phones, spying on their siri recordings, etc.