I think the point is that Muslim accounts of the same events are sometimes very different to those of (Nicaean)Christians.
Also we do know there were many competing narratives describing the life of Christ just a few hundred years after he died. After the Church become more established scholars spent a lot of time and effort trying to determine which ones were "accurate" or not and suppressing the other narratives. It's not like anyone can verify it they got it right or not, though.
Usually the arguments are not about whether a major historical figure like Christ or Mohamed etc. existed but the exact context and accounts of their lives, beliefs and actions. Also both of these men live in literate societies yet just a few hundred years after the deaths the facts already were very blurry and uncertain. Hypothetical Moses on the other hand lived in an illiterate society and history wasn't written down for 500+ (if not quite a bit more) years, even if there is a grain of truth in them (i.e. some sort of migration or interaction between Canaan and Egypt - which is not at all far fetched) the actual details might have become 99% fictional after being passed down orally through dozens of generations.
No doubt. I call them empirical geometric methods, you call it an analog computer, same thing. He didn’t invent anything though. The method of hanging a chain and adding custom weights to find the ideal shape for a complex masonry structure was invented by Giovanni Poleni in 1743 to fix the dome of St. Peter’s basilica. Poleni himself was extending Robert Hooke's 1675 inverted chain concept for optimal arches. The same techniques Gaudi used had already been used for hundreds of years.
> Apple says "This is the tip of the iceberg", and a lawsuit is necessary to uncover the full scope of what they think OpenAI has to hide.
Forgive me if I trust neither side's grandiose claims.
> one of the defendants allegedly dodged returning his company laptop
Yeah that accusation sounds sufficiently provable that it would be surprising if it was false. That being said, Apple claims it's part of a pattern that seems very inconsistent.
Considering how brazen Liu was, this could be a case of smug engineer and not corporate espionage.
I guess what I'm doing is not considered that useful then? I usually only have zero, one, or occasionally two things actively doing inference at a time, be it claude code sessions or one of the chatgpt/claude web interfaces, and i bet that's true for like 95% of people using llms. And anyway i bet even the hardcore people using a bunch of parallel agents would appreciate having access to local, private inference for some things.
You're obviously right though that cloud inference isn't going away anytime soon
It doesn't make the economics any different. In a browser environment, you're maybe looking at the acceptable lease being 100MB for 1 second. Much more than that, and you start hitting limits of what browsers will let you do on low-end phones. Longer than that, and we're back to the user-observable latencies being too long.
100MB for 1 second just is not much of a deterrent.
Sigh, I don't know why a blog-post against micro benchmarks should alter my opinion on this topic.
There are more metrics than just "speed" regarding an interface. You also want it to be discoverable and visually distinct.
How someone interacts with your software is absolutely measurable and the results will vary by how a user is likely to use it in frequency and variety of function. Someone that needs to do something specific with your software every day will interact with it quite differently than someone that just hops onto it every now and then to do a different task each time.
All of this requires actual studies and observation of users over time. Micro benchmarks have no space there. Testing how fast a find and replace is is meaningless. In case of writing software you'd test a user actually writing prose, changing font sizes, title colors, and maybe replace a word over the file too. You would have commonly used functions mixed in with less commonly used functions over how the software is used under a specific use case. (For example, writing text and revising text, and polishing a graph representation are different use cases)
This is not easy, which probably why it's not done all too often, but it is also most definitely unlike a micro benchmark (which your link argues against).
All that being said, I don't know of any person strictly pitting mouse against keyboard when testing UI for possible improvements.
I mean, it was a response to a claim, without evidence, that it was valuable.
Is your position that _you_ can make assertions without evidence but that lesser mortals may not contradict you without writing a paper on the subject?
I’m convinced that a large part of the user base of this site is genuinely, literally, solipsistic.
I'm no economist but I'm having a hard time grokking any meaning out of this metric.
So if Elon decided to sell all his shares today (and likely destroy his companies in the process), he'd shoot to the top of the list? What's the point in that?
My 401k has benefitted from the growth of e.g. Amazon for sure, but the main 'wealth' I get from them is my ability to buy anything and get it delivered in a day. That is, I benefit from their infrastructure existing, regardless of who the shareholders are.
More like the last 500 years.
Before that the cultural and scientific centers of the world were variously in muslim, indian, chinese, roman and other parts of the world.
So we've got this problem of the atmosphere trapping too much heat from solar radiation hitting the surface and the plan is to increase the amount of solar radiation hitting the surface?
> Imagining something in advance is not necessary at all for scientific advancement. This is particularily true in AI, and no one expects to imagine what superintelligence is until after it is created.
Then why does anyone expect to create it? I'll take a stab at an answer: they think an LLM is some kind of "incremental improvement" and therefore a step along the inevitable path to discovering AI. But that seems delusional to me. I can't imagine anyone sound of mind who knows how an LLM works thinks it's actually intelligent. So in what sense is it an "advancement" on the path to AI?
The concept of an incremental improvement in an objectiveless search in a high dimensional space is.. absurd.
> Studies consistently show declines in every trackable metric associated with education when computational devices are introduced to the process.
They're doing it wrong, just as the incentives in the classroom are wrong (to increase a number showing how many children meet some artificially low standard of competency). The rational debate comes from the hundreds of people who are doing it right on their own. These days, all the top chess players practice with an engine. All the top mathletes use AoPS tools. It's the same across every academic field, and the level at which the top people are performing is far higher than it was before computers were introduced.
Very untrue. Go somewhere with low light pollution and you'll see them in the dead of night. I was out in rural Australia and used a satellite tracker app to confirm what I was seeing - they are very distinctive and definitely visible.
They are not overwhelming, mind you, but I did notice them immediately. They stood out enough that I wondered what they were and started researching, that alone says something about the prevalence.
There's no tell. Some people just have an overactive imagination and are hallucinating AI authorship wherever they go. I think the HN audience is especially susceptible to this given the amount of comments like GP. Don't get me wrong, there is certainly AI-slop to go around, but this is just a very well-written article in my opinion. At most, lightly edited. It reads like a human wrote it, but maybe I'm just gullible.
They are paying for HLS.
You can't (according to old space companies) build a lunar lander and its launch system for under $10B