Unfortunately I can no longer take any official communication from my government at face value. They have lost my trust that they are operating as directed by the letter of the law without fear nor favor.
222 karma · joined December 30, 2015
Perfectly isn’t a descriptor I would use. But this is just anecdotal.
Purportedly 400 people just died… Was it because a sovereign country wants to have Nuclear power? Maybe? Maybe not? Was it because Israel already has Nukes? Who knows… But it’s not a simple end of story situation unless lives have no value.
A board that has Sam Altman on it is going to be much better able to craft safety guidance for the use and misuse of AI than a board that doesn’t have access to such a domain expert.
Just, you know, don’t give him veto power.
I don’t begrudge people who are less fortunate and need help.
I don’t enjoy my food any less because someone who is hungry can get free food from a food bank.
There are so many ways that the government has helped the more successful. I for one was a beneficiary of PPP loan forgiveness (not by my choice but an election of my managing partner).
This attempts to balance the scales of what type of support people get who are going through different situations and at different times with different needs isn’t particularly productive. It might feel good in some self centered bitter way, but it doesn’t speak to whether this is a policy measure that has a positive effect on many people and is a net benefit to the economy as a whole.
OpenTofu vehemently disagrees with any suggestion that it misappropriated, mis-sourced, or otherwise misused HashiCorp’s BSL code.
Indeed, it seems that HashiCorp may be conflating code that it had previously been open-sourced under the MPL and more recently developed code it published under the BSL.
OpenTofu’s maintainers have investigated this matter, and intends to issue a written response providing a more detailed explanation of its position in the coming days.”
But alas, we humans love our conspiracy theories because they tell a more interesting story.
My thinking “the enemy gate is down” when considering the tokens “Ender’s Game” is my recalling a learned association of those tokens to the given token string.
My knowing that doesn’t strip the copyright. My telling someone the meaning and context of the phrase generally doesn’t strip the copyright away from Orson Scott Card. I’m not reproducing his work but my knowledge of it. And it’s dependent on what I do with that knowledge and how if I’ve violated his copyright.
We are prosecuting the LLMs for possessing fragments of knowledge. And we’re assuming that the recall of some of those fragments means a copy of that work is in fact contained within the weights.
We phrase it like somehow the material is being copied into the LLM, but that’s not what it’s doing. It’s building a neural graph from the experience of consuming that content.
What would the world be like if humans couldn’t learn, train the weights of the interconnects of their neural tissue, from any material with a copyright?
Then I go lament in the corner that I really should be serious about migrating this to 200TB home lab to anything else and then realize that the 200TB is not something easily backed up in the case FreeBSD or TrueNAS doesn’t understand my Zpool versions and all of those zones I created will need to be rebuilt as jails…
And my lamentations turn to tears. All because I wanted to just checkout some random project.
Stable Diffusion starts with random noise and attempts to denoise that random information into a coherent picture. That it has in the past learned that certain types of pictures should have say something resembling a watermark is just it being incredibly dumb but ultimately no different than it learning that horses should have something resembling manes or people’s hands having something resembling fingers.
But Facebook research really wants to build amazing tech to power new experiences. The company has attracted many smart and amazing developers who want to pioneer innovation and want to see their work thrive in the broader tech community.
I’m sure this will have the same issues as the other Large Language Models and there’s a lot of work to be done to figure out how to distill a reliably useful system from something trained on so much human language which is unreliable.
I’m heartened to see them talk about needing to research how to remove bias, toxicity, disinformation and hallucinations.
This is something we need to focus on for all LLMs so I’m happy to see more focus on that in the community.
Finding similar pictures in an embedding space does not mean any of those pictures are part of the attribution chain any more than anything else.
They were running one off software, purpose trained for the route, showing the golden run that was successful.. yes. But it was computer vision and self driving that they demonstrated. It just wasn’t their production system.
2) it serves as a venue for attracting other talented candidates who are likewise minded on working on technical problems.
3) when I was employed of FB it was a relatively flat hierarchy, which is to say there weren’t that many higher ups to convince that this should be done.
Just NOT in twitter. I gave up on twitter and signed out of it years ago and refuse to sign back in.
I spent a good hour of my life looking for ways to read this thread. I personally know Yishan and value the opinions he cares to share so I new this would be interesting if I could just manage to read it.
Replacing the url to nitter.net helped but honestly it was most cohesive in threadreaderapp although it missed some of the referenced sidebar discussions (like the appeal to Elon to not waste his mental energy on things that aren’t real atom problems).
Texts do not convey emotion. Allow verification of nuanced points with simple interjections and interrogatives. The limitation of threads of conversation to simplify discourse through a more direct dialog and rebuttals.
I have had relationships due specifically because texts are really incomplete and poor means of conversation and the other side fails to pick up and acknowledge the severity of the situations I was trying to describe.
You seem to be wildly underestimating the complexity of the task and the long tail of content creation. There are 1.9 billion daily users.
You’re asking to REQUIRE a human content moderation system that reviews 100% of the continent that 1.9 billion users can create a day? Before that content can get shown? I don’t see a feasible way of creating a system like that which will serve the needs of those 1.9 billion users in a way that will seem remotely tolerable to them, that can timely share their content.