Spamming links in the replies of trending tweets has been an advertising strategy for years now. You can't open the replies to any popular tweet without immediately seeing titties and OF links. Blocking links in replies is an easy fix that they could've implemented ages ago if they actually cared about preventing spam.
But this isn't about spam. This is about kneecapping fact-checkers before an upcoming election, on a platform where the owner has expressed endorsement for a candidate. Elon doesn't want people correcting misinformation, he wants the lies to grow and fester and spread like cancer. He's already pushed Trump-tagged tweets to users who have the term blocked; he's not hiding it anymore.
The only socially acceptable use of a Twitter account these days is for encouraging others to get the fuck off of Twitter. Using a Twitter account for any other purpose is reprehensible, and cringe. Stop drinking at the nazi bar.
You can’t open the replies to any popular tweet without immediately seeing titties and OF links.
Okay, I’ve been on twitter for around 3 years now and I’ve never seen titties once. It’s not the first time I’ve heard this. I think I have a magic account.
Twitter has been an invaluable resource for news about the genocide in Gaza and America’s war in Ukraine. There is simply no competition in this space.
There are many, but one strategic goal is to “poison the well” for OpenAI.
OpenAI is trying to lobby for regulations that let them monopolize AI, so they are essentially the only ones that can sell it, and instead of playing this game Facebook is seeding public research so they can keep up with closed LLMs and make better cases for themselves. Which benefits them, as then they aren’t a customer of OpenAI or Google.
Another is to attract talent themselves. AI researchers love all this.
Yet another is to set the standard. The llama architecture is THE open LLM architecture because of facebook, and you run into major problems trying to run anything else, fast. Its also fostered a lot of innovations they wouldn’t have come up themselves, which they can turn around and deploy for free.
And they have a bit of a moat because hosting llama 400B is freaking expensive, and they have a ton of GPUs to do it with.
I’m not sure what entities, motivations, qualifications, connections underpin Lex Fridman with his podcasts/YT channel, but he has interviewed many people in AI including Zuckerberg, Altmann, and Musk. His interviews with Yann LeCunn are quite interesting. Professor LeCunn is the head of Meta AI. His longer interviews are much better in total for showing the lay of the land overview perspective. Some little clip does not do justice to the overall points taken in context, but telling you to go watch an hour long interview to get the answer directly does not work either.
This is a 4min clip of LeCunn saying, basically it doesn’t hurt anyone. He’s essentially implying it will hurt OpenAI or any proprietary.
I was trying to find the interview where Lex and Yann talk about the leaked Google memo last year, because that one is really good, but YT seems to be obfuscating that one intentionally in search results.
IIRC, in that one, LeCunn was saying something to the effect of the only way people can really trust AI is with transparency and that requires open source as a foundation. Using something like OpenAI in business is insane. You’re basically selling every aspect of your company to Altmann for peanuts. Likewise with personal use, this is like your life long psychiatrist opening a few side businesses as a political analyst, insurance broker, banker, and healthcare insurance provider, while working nights as a Judge. While you’re asked to sign away any privacy or confidentiality. Models turn human language and culture into a statistical math problem that has far better than 50% probabilities in nearly any aspect of human existence. If you ask a model to give a profile for Name-1, it will tell you all kinds of seemingly unrelated things about the person. The more you interact, the more accurate this profile becomes, even in areas that make no sense, have no logical association, and were never a part of the conversation. It is the key to manipulating people unlike any other tool in history. That is why open source offline AI is the only sensible way to use AI.
IMO the more interesting models are 70B and 8B, aka the first models you can host yourself and (for basically the first time) the first open models distilled from such a large “parent” model.
But the release is a total dud among testers because they’re bugged with llama.cpp, lol.
llama.cpp, the underlying engine, doesn’t support extended RoPE yet. Basically this means long context doesnt work and short context could be messed up too.
I am also hearing rumblings of a messed up chat template?
Basically with any LLM in any UI that uses a GGUF, you have to be very careful of bugs you wouldn’t get in the huggingface-based backends. A lot of models run without errors, but not quite right.
Yeah, an AQLM 70B will fit in 24GB with very short context, but decent quality.
You never hear about it, mostly because it’s so hard to quantize in the first place, but also because it’s not a GGUF so most people ignore the format, lol.
At least you can (theoretically, if you have your own datacentre or botnet) run, finetune and play with this yourself, so at least it’s somewhat useful, especially if you finetune it for applications where word predicting is actually exactly what you want
In Switzerland we basically had ISP monopolies back in the day on cable (DOCSIS) and on the phone (xDSL) networks. Prices were ok, but not low. Then fiber optic as a viable tech came around, but neither of the large ISP was particularly eager to build out a fiber infrastructure, as it was more lucrative to just sit on their “old” tech, knowing the ohter party won’t be building fiber, so won’t have a better offer either
So what happend then was that munincipalities built their own fiber networks, renting them out to the ISPs, large and small ones, either as an IP service or as dark fiber for ISPs which want to provide their own equipent. Only the largest ISP still builds their own fiber infrastructure, in parallel, and they are required by law to rent out that infrastructure to other ISPs as well.
This has really leveled the playing field, brought good competition and lowered the prices.
So I think government owned infrastructure is the way to go, but it takes a long time to build out and needs the right policies and legal framework to succeed.
That would require the government to not be bought out by billionaires. That would require the government NOT working for the billionaires that control them. That would require the government to actually give a fuck about anyone poor.
Worked in my home town for about 20 years until they outsourced to our version of Comcast as a ‘cost-saving measure’. Wow, were they stupid.
It actually worked astoundingly well before that. Hated ISP a? Make a phone call and within an hour your same gear was now on ISP c.
At a recent job I worked closely with some muni IT people. Their plan is to fibre their area and then price the backhoe access out so the ISPs have to compete over the common infrastructure and can’t restrict access. City doesn’t want to be an ISP; just manage the glass.
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