Look at the chart for bing.com:
https://trends.google.com/trends/explore?date=today%205-y&q=...
Do you attribute that to Chandler Bing too?
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www.gibney.org
Look at the chart for bing.com:
https://trends.google.com/trends/explore?date=today%205-y&q=...
Do you attribute that to Chandler Bing too?
https://twitter.com/marekgibney/status/1724712305894600929
It's fascinating that ChatGPT seems to stand a chance to even surpass Reddit in interest.
I wonder what the recent spike for "Bing" means? Is that from their image creator? Or did the chat on Bing take off?
But since we are not looking for the most uninteresting number, but the most interesting one, we do not have to fight with issues of that calibre.
Certainly more interesting than - say - 31.
31 is a prime number too, and therefore somewhat interesting. But for sure not as interesting as 37, which as we just learned, is the median value for the second prime factor of an integer.
Any suggestions of integers which are even more interesting?
And while we are at it, is there an integer which qualifies to be the most interesting?
To our surprise, we did not find a list of dotcom IPOs from the 90s together with their IPO market cap.
If someone here knows about such a list, I would love to see it.
If so, I guess you can make such a "GPT" on your own server and independent from a specific LLM service by using a prompt like
...you have available an API "WEATHER_API". If you need the
weather for a given city for a given day, please say
WEATHER_API('berlin', '2022-11-24')
and I will give you a new prompt including the data you
asked for...
Or is there some magic done by OpenAI which goes beyond this? HTMLElement.prototype.qsA = HTMLElement.prototype.querySelectorAll;
Now myTable.qsA('tr') will work. You can try it right here on the HN page in the browser console: HTMLElement.prototype.qsA = HTMLElement.prototype.querySelectorAll;
document.querySelector('#hnmain').qsA('tr');
Why do you prefer chaining? import {qsA} from './dqs.js';
rows = qsA(myTable, 'tr');You are talking to me on a site done by one.
This is the frontend code:
https://github.com/no-gravity/dqs.js
Which turns document.querySelector('.some .thing') into dqs('.some .thing').
The other one is Handlebars:
https://github.com/handlebars-lang/handlebars.js/
Which I use for all my frontend templating needs.
AlphaZero learned to play chess via self-play, not by reading books about chess.
Why couldn't the same happen for art for example?
For coding, won't a sufficiently advanced neural net be able to figure out how to use a programming language when given just the documentation?
And when most of our interactions are with AI, it will learn from our conversations with it. Asking some AI system why feature X was removed from programming language Y in version Z teaches it something. The next person who asks it which feature was removed from Y in version Z might be told "X". Without the AI system ever having to read about it. The interaction with AI could become a self-learning loop in and on itself.
Say in 20 seconds.
If there is such a task, then it can't be automated. Because then it would not have value. So we could base a captcha on performing that task.
If there is no such task - what is the minimum amount of time in which a person can create value?
If there is no task for any length of time in which a human can create value - well, then we are all jobless :)
Apple claims the transition from TSMC's N5 to
N3 has resulted in a 30% boost in performance
for the M3's performance cores compared to M1's.
Is that 30% more performance while weight and power consumption are the same?Is that possible? Has that happened in any other industry?
I can imagine it happening in a single country. But wouldn't research route around that country then? How is the situation in Europe, China, India, Canada, Japan ... ?
If there would be additional computational logic involved (say calculating how many rides this car has done this year so far to say "Really delete this car? It delivered 124 rides this year.") - would you also cram all of that into the button element?
What I am trying to say: I don't see which real world use cases are tackled by htmx. I usually don't have a use case as simple as "When element X is clicked, load url Y and replace element Z with it".
Their primary example is this:
<button hx-post="/clicked" hx-swap="outerHTML">
Click Me
</button>
But that is rarely what I want to do when a button is clicked. My typical example would be I have list of - say - cars, and each car provides a button to delete it: <button onclick="carList.deleteItem(this)">
Delete this car
</button>
And then in deleteItem(), I typically: let item=getItem(e);
if (!confirm(`Really delete ${item['name']}?`)) return;
let item_id=getItemId(e);
items.splice(item_id,1);
document.getElementById('items').innerHTML = template(items);
Where "template" is a handlebars template.Would htmx have anything to say about this?
:'<,'>y|call system('firefox <url>?q='.shellescape(@*).' &')
The only problem left is that the text is not urlencoded.
There probably is some elegant way to urlencode it. But I did not come up with one yet.
What features would everybody want from such a player?
Makes me feel like I would like to learn more about open source. What drives it's development and what the business models are.
There are 152 contributors to this project who wrote 21,686 commits. If each commit took an hour of work, and we value each hour at $50, that is $1,084,300 worth of time.
How can a project gather over a million dollars worth of work time, but not $629 for a certification service?
But in fairness, one has to say that after building a $650B company (Tesla) and a $150B company (Space X), it is not necessarily a sign of business failure when one buys a $44B company they want to restructure and cut revenues in half in the process.
Like when you have built a 65 floor skyscraper and buy a 4 floor house as the base for your next project. You wouldn't probably be that scared to take off 2 of the floors if your plan is to reshape it into the next skyscraper.
Now we made this huge jump in AI capabilities, and I am really surprised that he mostly seems to have negative feelings about it.
To me, it is quite the opposite. With these new LLMs, a childhood dream has come true. And I am mesmerized by the progress and possibilities.
If we would allow all real numbers, I would surely include pi and -1 in the top 100.
Since you already have 10 in there at position 4, I would say there is nothing so special about 100 that it deserves to be higher up than - say - pi.
So I would assign 3.14159 to position 7.
I think I would include -1 at position 8.
And again: Look at decades, not at years. Assets are way more expensive these days than they were in 2008. The S&P 500 more than tripled. The Nasdaq 100 increased more than 7-fold.
The economy is like a large swimming pool. If an elephant jumps into one side of the pool (increase of M0), it won't lift the water level on the other side (whatever prices you look at) in a linear way immediately. It will cause complex waves. But when the dust settles, you see higher prices.