Tesla doesn’t need a business model, they’re a meme stock.
Not saying that the stock isn't a meme stock, but my car literally drives itself everywhere. Tesla has many business models.
Readit News"It used to be simple: vote for the guy you liked the most. Then it became vote against the guy you disliked the most. Now it's vote for who you dislike the least." --A Whitney Brown
I remember seeing that on SNL in the 80s; it has always stuck with me.
I heard he used to be _The_ Whitney Brown.
wnmurphy commented on Time Warp: Delayed-choice quantum erasure drgblackwell.substack.com... · Posted by u/Gnarl
Our understanding of the world is overfit to the macro level, where we project concepts onto experience to create the illusion of discrete objects, which is evolutionally beneficial.
However, at the quantum level, identity is not bound to space or time. When you split a photon into an entangled pair, those "two" photons are still identical. It's a bit like slicing a flatworm into two parts, which then yields (we think) two separate new flatworms... but they're actually still the same flatworm.
Experiments like this are surprising precisely because they break our assumption that identity is bound to a discrete object, which is located at a single space, at a single time.
wnmurphy commented on A new proposal for how mind emerges from matter noemamag.com/a-radical-ne... · Posted by u/Hooke
You could probably s/LLM/human/ in your comment. Essentially all intelligent life is a pachinko machine that takes a bunch of sensory inputs, bounces electricity around a number of neurons, and eventually lands them as actions, which further affect sensory inputs. In between there may be thoughts in there, like 'I've no more to say', or 'Shut your mouth before they figure you out'. The question is, how is it that humans are not a deterministic computer? And if the answer is that actually they are, then what differs between LLMs and actual intelligence?
> Essentially all intelligent life is a pachinko machine that takes a bunch of sensory inputs, bounces electricity around a number of neurons, and eventually lands them as actions, which further affect sensory inputs.
This metaphor of the pachinko machine (or Plinko game) is exactly how I explain LLMs/ML to laypersons. The process of training is the act of discovering through trial and error the right settings for each peg on the board, in order to consistently get the ball to land in the right spot-ish.
Does anyone else read the title and only identify ~6/9 of the words in the title here? I've got no clue what this is about before clicking on it.
I recognized the word "glymphatic" from recent articles about the discovery of the brain's self-cleaning system, and then understood from the headline that these authors identified that the mechanism by which this occurs is driven by norepinephrine.
> I don't know what an "AI Engineer" is, but, is reading research papers actually necessary
Let's put it this way: if even half the people who call themselves "AI Engineers" would read the research in the field, we'd have a lot less hype and a lot more success in finding the actual useful applications of this technology. As is, most "AI Engineers" assume the same thing you do and consider "AI Engineering" to be "I know how to plug this black box into this other black box and return the result as JSON! Pay me!". Meanwhile most AI startups are doomed from the start because what they set out to do is known to be a bad fit.
> I know how to plug this black box into this other black box and return the result as JSON!
To be fair, most of software engineering is this.
wnmurphy commented on Meta Wants More AI Bots on Facebook and Instagram nymag.com/intelligencer/a... · Posted by u/thm
At some point, we will have no idea that the majority of the commenters we're interacting with are actually just generative AI.
Related: I've found that the internet becomes significantly better when I use a Chrome extension to hide all comment sections. Comments are by far the most significant source of toxicity.
> Introduce intermediate variables with meaningful names
Abstracting chunks of compound conditionals into easy-to-read variables is one of my favorite techniques. Underrated.
> isValid = val > someConstant
> isAllowed = condition2 || condition3
> isSecure = condition4 && !condition5
> if isValid && isAllowed && isSecure { //...
The very first sentence is highly biased and draws an invalid conclusion. They attribute this to vehicle demand, without basis.
It's likely due to retooling for a planned lower cost trim.
Elektrek mostly writes misleading articles like this.
Then they changed the architecture so voice mode bypasses custom instructions entirely, which was really unfortunate. I had to unsubscribe, because walking and talking was the killer feature and now it's like you're speaking to a Gen Z influencer or something.