skysight-inc/HackerNews huggingface dataset:
You end up using them as bookmarks of some sort, especially with the search bar doubling as tab search
> [snip sarcasm]

https://en.wikipedia.org/wiki/Aluminium_oxynitride

> That hailstorm that destroyed the solar farm in Nebraska

I had to look that one up, because Nebraska has about x3 as much capacity in HVDC converter stations from the 70s and 80s as it does total statewide grid-connected PV (which is one of my points, the one I can rephrase as "put it elsewhere if it's really that bad").

> The Scottsbluff project features […] hail stow capabilities from Array Technologies. While it's unclear if the asset's hail stow program was activated during the weather event, damage to the face of the modules indicates it was not.

- https://www.renewableenergyworld.com/solar/solar-farm-pelted...

So again, like I said, solutions are known, even if not actually used.
We're using the USB-PD 3.1 standard and are testing for compatibility. We haven't seen issues when testing with other compliant USB-PD 3.1 adapters.
Most likely they want cloud cloud providers (Google, AWS, and MS) to pay for selling this as a service.
It may also be worth pointing out that, for any given person, with a pool of one billion eligible partners, there is likely to be on the order of one to ten million "perfect" partners, i.e. partners with whom one would be potentially able to form a stable, happy marriage. Per xkcd's blog post on the subject: https://what-if.xkcd.com/9/

This is not to detract from the utility of the algorithm per se; rather, its relevance in pairing up partners in a dating app. I'd have to guess that factors like physical proximity, speaking the same language, being in roughly the same age range, having the same political views, etc. can be used to straightforwardly narrow down the eligible pool for each user to about a thousand or so, at which point the algorithm the author describes as trivial is sufficient.

Also:

> With 1 Billion candidates for every person, you’d need 8 Million Terabytes of RAM to start with the classic algorithm. Multiply that by $10'000 per Terabyte of RAM, and you get a jaw-dropping $80 Billion. Practically infeasible and exorbitantly expensive.

Maybe I'm just missing something, and if so I'd love to be corrected, but I feel like if you had 2 billion users on your app, operating costs of $80 billion would not be out of the question.
San Francisco taxis were the worst. It was impossible to get a cab on Friday and Saturday nights, and they always blocked any attempts to add more cabs to the roads. I have zero sympathy for them.
American companies are generally forbidden by EEOC rules from having reasonable security precautions unless some product is associated with a government contract and can require full blown security clearances. As a result you can safely assume that any given department with a juicy portfolio is fully compromised by foreign intelligence.
That was pretty much a given, and in the meantime they already filled YouTube with crappy collage videos with clickbaity titles+captions and voiced by AI. Any plans to build a blacklist (+ browser extension?) that along ads and malware sites will also allow to nuke that rubbish from search results?
Well there's this thing called Jira which tracks all the value being contributed to the product.
Smoking is never good for you, and exercising virtually always is. By contrast, "stacking the deck" on the specific issue of finances may or may not be helpful for a particular relationship and should be assessed case by case.

So, I don't think they're the best analogies.
Not OP but I have done both and right now do a mix of both and 100% agree. These interactions was something I missed a lot when working 100% from home.
[dupe]

Discussion over here: https://news.ycombinator.com/item?id=36766734
There are of course good businessperson led movies and bad businessperson led movies. The same is true for creative led movies. Maybe the "explore the liminal space of boredom" movie is bad, but that description certainly sounds more interesting than a bad version of Transformers 7 or whatever.

Creative led projects are at least personal and that gives them a unique quality even if the project is an overall failure.

>I guess what I want is not a money man as such, just an editor with a bit of power as an objective source of improvement.

Editors would generally be considered creatives and not businesspeople. There is also no such thing as "an objective source of improvement" when it comes to art.
Sorry - a bit late to see this.

You think whistleblowers are real. Ok - but there used to be footage of Snowden which showed some seriously odd anomalies - eg the arms of glasses his disappeared, his hand was see-through, etc. This is hard to find nowadays - but I have seen it.

What that says to me, is that it is more than a possibility that footage of Snowden was faked - that he was a made-for-tv character. I don't know why that would be the case.. Perhaps its a case of the info he exposed was something of a controlled release - we were meant to hear about it in the way we did.

What that also indicates is that one needs to be wary of the source of information. Eg what to make of the BBC reporting that WTC7 collapsed on 911, when it is still standing in the background? Or when Rishi Sunak's briefcase changes colour live on a news program:
https://www.youtube.com/watch?v=YyHfzcItoFs

(Re Rishi - I didn't see it myself - but the colour change point isn't under debate.)

The question is who is mediating your information? Which sources are trustworthy? Can Snopes be part of the control mechanism? Is it possible that a trick can be played on the whole world? Once you are aware that trusted sources of information lied, should you continue to trust them? Or is it more plausible to accept that they are intentional liars? (And no, not everyone has to be in on it.. very few need to know.)

So, if I reverse the question now - why would you continue to trust proven liars, who are using news etc to present a fictionalised version of reality? Are you able to discern the facts from the fiction from what is presented to you on a screen?
You can certainly argue that some schools overweight it but schools take into account lots of things that aren't strictly academic.
That last claim needs backing up.

Sources are World Health Organization (Suicide Rates 2019) and World Health Statistics (World Health Organization)
Maybe this is true now, but when I applied to MIT for undergrad in 2002, I had to meet with an alumnus at their house near me for an interview. Being from California and first generation American and the first of my family to go away for college, I had no idea how admissions worked nor did I know much about MIT. Because of that, I basically bombed that interview as I was unprepared (didn't know what to expect and didn't have the cultural knowledge to converse properly). I was subsequently rejected from MIT despite having pristine credentials for the time (however, I was accepted at other schools such as Berkeley, UCLA, Stanford, and my eventual choice Notre Dame).

Moreover, a classmate of mine from a wealthier family and who was on the football team was admitted to MIT, despite having worse grades and a lower SAT score (he was smart and deserving, I'm just pointing out that my numbers were better).

So while it is nice that MIT claims to not use legacy now, the process I experienced 20 years ago suggests that alumni still had influence then and even athletics mattered too.

To be clear, I'm not necessarily against legacy admissions or athletic preferences. I just wish schools were upfront about it and things were explained clearly to applicants.
> Looks like they are trying to block out competitors

But only existing competitors. If you don't yet have 700MM MAU, the impact of this is only that, after you reach 700MM MAU, you can't get future versions of the Llama models for free. You can still continue to use versions that were released before you reached that threshold.

For reference, neither Instagram nor WhatsApp had 700MM MAU at the time Facebook decided to acquire them.
I'm not sure about this; the practical effect if you adopted this rule would be that if someone was to search for this, they'd find a bunch of conspiracy theorists claiming that scientists had been bribed (plenty of media has no concerns about amplifying conspiracy theorist stuff), with no refutation.

Like, in an ideal world, these sorts of grand conspiracy theories which kind of rely on all the scientists in the world being in on it wouldn't be taken seriously by anyone, and could be left alone. But that's not the world we live in, and it's appropriate to give the people they accuse of stuff the right of response.
The most obvious example I can think of is the "walk and talk". For a casual work conversation, walk around the office and talk to your peer. You are literally going around performing work for an audience, intentionally or not. Sure, "presentations" are also performance, but are really a caricature of work.
What kind of work allows Chrome, but not Firefox? Google?
Hey HN, we've released tools that make it easy to test LLaMa 2 and add it to your own app!

Model playground here: https://llama2.ai

Hosted chat API here: https://replicate.com/a16z-infra/llama13b-v2-chat

If you want to just play with the model, llama2.ai is a very easy way to do it. So far, we’ve found the performance is similar to GPT-3.5 with far fewer parameters, especially for creative tasks and interactions.

Developers can:

* clone the chatbot app as a starting point (https://github.com/a16z-infra/llama2-chatbot)

* use the Replicate endpoint directly (https://replicate.com/a16z-infra/llama13b-v2-chat)

* or even deploy your own LLaMA v2 fine tune with Cog (https://github.com/a16z-infra/cog-llama-template)

Please let us know what you use this for or if you have feedback! And thanks to all contributors to this model, Meta, Replicate, the Open Source community!
You're definitely right.

I'll go even further; As I remember it Chrome Dev Tools pretty much copied Firebug's homework in terms of UI and feature set.
The "biomarkers" bit is disinformation, for a decade we have had technology to allow for seamless edits to viral backbones that leave no trace behind. The only way anyone can tell the difference between a natural and modified virus is if they know the backbone. But there is a reason the scientists who wrote proximal origin paper were so focused on the furin cleavage site and their suspicions it was engineered and that is because these types of things are common practice.

Here is the patent for the “No See'm” approach
https://patents.google.com/patent/US7618802B2/en?q=(seamless...
Maybe not MIT, but there are many universities whose bottom lines are significantly impacted by the success of their sports programs and the television deals that come with them.
I take Uber to LAX and cab home. Cabs are significantly cheaper than Uber now.
I think more Apple. It's not like Google or Microsoft would want to use LLaMA when they have fully capable models themselves. I wouldn't be surprised if Amazon does as well.

Apple is the big laggard in terms of big tech and complex neural network models.
The biggest risk to humanity by a huge margin still appears to be humans themselves in my opinion. We're at the brink of another conflict between "super powers", we're destroying the ecosystems, we're being, on average, unhealthy. Where does AI fit in here I wonder.
Another non-open source license. Getting better but don't let anyone tell you this is open source.
http://marble.onl/posts/software-licenses-masquerading-as-op...
If there is a single result you can also on ignore the return value by calling myfunc()
I'm not sure I understand what you mean by "upthread". Do you mean in this HN thread? Or in a mailing list associated with the commit OP points to? If so, do you have a link to said mailing list?
This sounds like an inside job.
There's a million different language model (not wrapper) companies offering APIs already. OpenAI, Anthropic, Cohere, Google, etc. It wouldn't be profitable.
Forever Chemicals and Blood Donation
I was very skeptical of Go, but after trying it, it quickly became my main and favorite language. I think the drawbacks of the language are easily offset by how powerful and simple it is.

Its biggest flaw imo, which I don't think was mentioned in the article, is that Go did not learn from The Billion Dollar Mistake in Java: null references. You have zero protection against nil pointers, and this is likely not something that can be changed now without breaking backwards compatibility.
AWS specifically I think which has history of selling others' products as service. I think Google has better model(Bard 2) and microsoft has rights to openAI models.
I've been waiting for something like this! Does it support YouTube videos?
I think it's aimed at other social networks.

TikTok has 1 billion monthly active users for instance
"yeah I often work at night"

But tbh, customers aggrieved at your working practices are simply not worth having. If they don't trust you enough to do the work, they probably won't trust the output of it either, which all that it entails (not paying etc).

I've been a consultant in a previous life, and the best customers were invariably the ones who just let you get on with the job.
Something somebody told me was that it seems really amazing but without the host prompting the listener as to the phrase, "she saw me", most of the time you wouldn't know what it was saying.

I heard a sample of "Say, good afternoon radio audience", then the Voder produces something very similar, but listen to it without the prompt and you would have to guess what it meant.

A Derren Brown kind of trick :-)
https://blogs.microsoft.com/blog/2023/07/18/microsoft-and-me...

I think this is effectively an Apple + Amazon + Google ban?

(MS employee, just noticing interesting intersection of announcements and licensing).
> LAX is a shit show

This and only this. I've never even had an adequate experience with that damned airport.
My armchair wisdom: the degree to which a worker must generate metrics, however contrived, in order to provide accountability and transparency, however inaccurate, is directly proportional to the size and complexity of an organization. There comes a point (let's call it the Gibbons Threshold) where the work of generating metrics takes more time and effort (and cost) than what an outsider would deem to be real work that truly benefits the business's bottom line.
No noticeable impact of Brexit? Jesus wept.
> But how likely are you to get laid off?

Enormously less likely than you are to have a startup or SME shut down.
I strongly disagree with this. I purposely do not buy anything that’s not USB-C or lightning because I like being able to bring one charger for everything. Do you have older version of the RPi4? They accidentally made the USB-C non compliant but was fixed in late 2018, early 2019. Overall, as long as you have a 100W USB-C cable, you can practically charge anything (minus the now 240W standard).
Telling me you're pushing to a new remote isn't fighting, it's self-promotion under the guise of fighting. Learn the difference.
I would like to see the impact of this policy. What percent of admissions have a legacy who attended MIT? MIT is likely the only organization that can do (or sponsor) this analysis while protecting privacy. It looks like their application form doesn’t ask for legacy info [1] so they’d have to track this in some systematic way during onboarding or something.

[1] https://mitadmissions.org/apply/firstyear/biographical-infor...
I don't understand tab hoarding either but Chrome/Brave's tab bar poor design becomes a problem even in what I'd consider pretty mundane scenarios.

Imagine you snap your browser to half your screen. Assuming it's not an ultrawide, you'll be able to fit maybe a dozen tabs before they're so tiny to be essentially useless.
Not necessarily LLM style. The above isn't for instance.

also Google Studio Voices is excellent. Definitely better than Microsoft's best, albeit very limited voices.
If you're trying to be MIT or CalTech, that's absolutely true.

If you're trying to be the Ivy League...maybe not. I recently heard an explanation saying that legacies/"special admissions" are not the customer in this situation. They are part of the product. At Harvard, some percentage of your undergrad class were literally born into more money than you will ever make in your hypersuccessful career. The chance for making connections with such people is why many hypersuccessful/hypermotivated people choose the Ivy League over more meritocratic institutions.

I'm not 100% sure I buy it, but it's an interesting perspective.
As an update, the attackers were discovered by the customer due to mailbox access event logs showing an unexpected mail client to access mailbox items.[1][2] The attacker should have spoofed a realistic mail client.

[1] https://www.cisa.gov/news-events/cybersecurity-advisories/aa...

[2] https://learn.microsoft.com/en-us/office365/servicedescripti...
That is unrelated. Stop spreading misinformation.

It is for the old version and not this new one
Google's model is not as capable as llama-derived models, so I think they would actually benefit from this.

> I wouldn't be surprised if Amazon does as well.

I would - they are not a very major player in this space.

TikTok also meets this definition and probably doesn't have LLM.
+1 or maybe +200. JNI OMG, now I will have nightmares tonight.
Open-Source LLaMA v2 Chatbot
To say competition on pricing and product are orthogonal is to treat this like some sort of study and completely ignore the real world conditions that these businesses live in.

The salient point the author is making is these predatory pricing strategies allow these VC backed firms to capture a market, then the VCs exit and everyone else is holding the bag. It doesn't matter how good your product is if it costs more to run than it brings in it will, eventually, no longer exist. Ultimately, these companies business models absolutely did not outcompete cabs on merits alone; they had a better product that relied on predatory pricing to attract customers.
Catalogues of Japanese Toys (1891-1923)
I think intelligent, non-sporting people tend to have too strong of a bias against sports being factored into admissions. Universities look at lots of things that indicate someone is an intelligent, ambitious, hard-working person. That includes success at a high level in all kinds of things - if you're a top-level musician or dancer, they look favorably on that. If you've started a successful business, they look favorably upon that. If you started a charitable organization that contributed meaningfully to people's lives, they look favorably upon that.

I think in general, we'd all agree that those are good - they show that those people are driven and able to achieve something significant. So does being an elite football player. You have to be up at the crack of dawn for practice. You need to work well with other people. You need to memorize playbooks. It's a lot of work and commitment. Why shouldn't a university look upon that favorably?
The DIY Edition price is without memory, storage, and operating system, which are included in the pre-built versions.

The memory, storage, bezel, and Input Cover that are temporarily installed into DIY Edition systems get cycled back through the line at the factory and reused repeatedly. If you order memory and storage as part of a DIY Edition configuration, those are new modules specific to your order that get added to the package at our fulfillment center. This means that we can enable thousands of different orderable DIY Edition configurations while only having a handful of unique configurations leaving the factory.
What’s the big problem with hourly? You just listed a bunch of benefits and said it’s cursed.
Eh. It's mostly genetics that determine academic ability (and everything else), so reaching an end goal of "total equality" would in fact make admissions all about who your parents are.
That's a misunderstanding I think, dictionaries say (of opt-in)

- choose to participate in something.

- to choose to be part of an activity, arrangement, etc

- The property of having to choose explicitly to join or permit something; a decision having the default option being exclusion or avoidance; used particularly with regard to mailing lists and advertising.

[the first few hits on google]
> Nevertheless I think people implementing them in their own projects is basically code smell and they are a symptom of poorly thought-out code rather than excellent code.

Who needs data structures right?
Good thing the author isn't in Norway, I guess. Otherwise, he wouldn't be able to keep his car which clearly has a lot of sentimental value to him.

Also, Norway should consider dropping mandatory passenger vehicle inspections as mechanical malfunctions are a tiny percentage of accident causes (and might be lower than officially reported by police) and it has been shown that they do nothing to increase actual on-the-road safety:

https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?referer=...

https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/...

https://www.theamericanconsumer.org/2019/06/do-mandatory-veh...
Microsoft announced today that they will use Llama on Azure and Windows scenarios. Source: https://blogs.microsoft.com/blog/2023/07/18/microsoft-and-me...
I'm curious on the non-sequitur to GPU stuff? At large, running machine learning code has been easily doable in linux for a long time. Frustratingly hard, yes, but no harder than in Windows. Often more repeatable and cheaper to fan out to a fleet of machines, to boot.

Is there another aim of GPU that I'm ignoring?

Microsoft makes fine enterprise software, sadly. To know and believe that, though, you have to see what the alternatives are in the enterprise world. It is atrociously bad.

I do think Chromebooks are an interesting use case showing you don't need massive software. Schools have taken to those very well and are almost certainly competing with most enterprises for number of users and use cases.
Refusing to teach kids math will not improve equity
Thanks! Working on this and all the exciting features was really fun, from semantic and generative search to using Weaviate as a Semantic Cache and translating natural queries to GraphQL. The live demo was also recently updated with some good stuff! https://healthsearch-frontend.onrender.com/
> If I achieve something, there should be cash money in my pocket above having done nothing

There is cash money in your pocket in advance, so you do something. That's what a salary is. The problem lies with the company not firing you and instead focusing on folks who actually do work.
Funding the current AI revolution, for example?

https://techcrunch.com/2019/07/22/microsoft-invests-1-billio...
https://techcrunch.com/2023/01/23/microsoft-invests-billions...
https://www.reuters.com/technology/microsoft-talks-invest-10...
No matter how much you try you never get into any top school just by your own hard work. It's necessary but not sufficient.

For example, admission to most top grad schools in biomedical sciences is only possible without quota if you have publications. Guess who gets published in their undergrad more often than others? Children of professors.

In the end the reality is pretty much everyone of socio-economic privilege gets one boost or another that's not available to other groups of people. That's why I don't get mad if some underprivileged classes get "unfair" quotas as alleged by the US supreme court. I didn't get mad that rich kids can get into Harvard without too much work, why would I get mad that an underprivileged kids can do that now?
Your private code is not used for any user other than you: https://docs.github.com/en/enterprise-cloud@latest/copilot/o...
We installed a bench when my grandmother died. Since memorial benches is not a thing in the country we come from, we installed one in the UK in a place she liked visiting.
DIY comes with no RAM, storage, or OS.
Well, analogue everywhere until quantum effects come into play.