skysight-inc/HackerNews huggingface dataset:
> So one report starts by omitting that fact, and the other does not. What follows is a variation of fruit of the poisonous tree.

It's really not, because the investigation was still properly predicated. Durham finds this and the IG finds this. It doesn't matter what the Clinton campaign did or didn't do, because the investigation wasn't based on their actions. That it was is the lie of the predication of the Durham investigation, and that he didn't find it and prosecute it is his "failure" in the eyes of right wing media. Why was Durham needed when we have an IG?

> None of those five convictions "involved a conspiracy between the campaign and Russians"[162]

Note that "conspiracy" was never seriously alleged by detractors (collusion was the accusation), and to the extend it was, it was never allowed to be investigated (by Rosenstein and then Barr, both appointed by Trump). They very carefully boxed Mueller into investigating a conspiracy without being able to prove it (by investigating finances, which were considered a "red line" and off limits for investigation).

Second, you omit the fact that the Mueller report notes that it faced lies to investigators, witness tampering, destruction of evidence, and obstruction of justice at the hands of POTUS. Their main catch, Trump's campaign manager Paul Manafort, was in the process of being flipped when Trump dangled and ultimately granted a pardon, in a blatant act of obstruction of justice and witness tampering.

It was later found by the Republican-chaired Senate Intel Committee that Paul Manafort was literally exchanging internal campaign data with a Russian intelligence officer during the 2016 campaign, as the Russians were in the process of targeting Americans through Facebook psyops (which the Mueller report proved). So there's your collusion.

There's also the matter of how the report was released, causing a federal judge to call into question the truthfulness of the AG Barr (calling his handling of the report and redactions issued "misleading"). Barr notably shut down the investigation as soon as he was confirmed by the Senate. Many people's opinion of the investigation was set due to those lies and omissions, maybe your own.

SC Mueller was appointed due to the fact that the AG Sessions was compromised (having lied to the Senate about his Russia contacts as part of the Trump campaign), and Trump was obstructing justice into the already ongoing investigation (by firing the head of the FBI, and citing the fact he was under investigation as the reason for doing so). So really, the biggest problem with the Mueller investigation was that it was investigating a person who ultimately had control over the investigation, who was also the only person who the investigation couldn't hold accountable (due to DOJ policy of not indicting a sitting POTUS).
When Deepmind built AlphaGo, they trained their AI on other AI-generated content once they ran out of training data, and that was what gave it superhuman abilities. https://en.wikipedia.org/wiki/AlphaGo#Algorithm
I think this is awesome! App is hard to use though.
Some related and perhaps more practical materials on the subject: https://every.to/no-small-plans/how-to-do-hard-things

(Incidentally a decent into to ACT)

I also wrote about the subject:

https://sonnet.io/posts/hummingbirds/

and

https://sonnet.io/posts/sit/

I don’t think I’m “good” at dealing with these sorts of problems but with the help of therapy I’ve developed tools to get gradually better.

The first link deals with reframing judgements we make in a more productive way.

The second article is a concrete case study.

I hate productivity porn so I’m trying to leave the reader with concrete actions and sometimes more questions rather than answers.
> I use software from commercial Cadence and Synopsys that has a list price of over $1 million for a single physical design tool license and we use about 200 of those licenses simultaneously to tape out a chip. Then we spend about $30 million in mask costs. If we make a mistake it is another $20-30 million for new masks and another 4 months in the fab for a new chip.

I've thought for a long time now that this is an area ripe for disruption. But it's very difficult to disrupt - it hasn't been yet. EDA software is probably the easier part to disrupt. Some open source EDA tools are out there, but not so much on the physical design side.
They went for the Google++ model. That isn’t enough to cause a switch. You need Google x 10 or 100 to unseat the beast.

I’m very glad they tried though. Gives us hackers hope that building a Google quality index outside of Google is not unimaginable
That's my bad. In my caffeine-fueled thirstiness I forget people need sleep :) Thank you for your work.
I used iOS Safari’s reader view to fix the word wrapping. The degree symbols did not display correctly though.
Yes - analysis of "just follow the rules harder" is generally wrong, which is why we've moved on to blameless postmortems. I agree with your criticism of the current state of the system. The problem is the lack of mechanisms that encourage convergence towards the desired state. Without them, divergence continually adds up, creating the well known ratchet effect. If Filburn itself had been decided differently, the Supreme Court would have eventually justified the federal government power grab at a later time. Slower progression would mean we'd be in a better state today, but we'd still be headed towards the same place.
As I recall, he doesn't go into parallel algorithms because single-threaded algorithms is a big enough field.

Further, of email he famously says it "is a wonderful thing for people whose role in life is to be on top of things. But not for me; my role is to be on the bottom of things."

Following the latest trends in AI would require being on top of things.
People keep trying to use those LLMs as if it were a search engine but it's not. The value in ChatGPT is its faithful recreation of human common sense.

Use it to hold a conversation, to ask feedback on a text you wrote, to come up with ideas for something. Don't use it as Google and be dismissive when it's not the universal information retrieval tool it's not meant to be
You can find GPT-2's training dataset list - at a high level - in the GPT-2 repository on Github: https://github.com/openai/gpt-2/blob/master/model_card.md#da... However, OpenAI goes dark after that regarding the 'data soup' that was fed into their LLMs. In general, start around 2019 and definitely by 2020 you'll notice that research labs became much less forthcoming about the data that went into their models. As far as I'm aware, BookCorpus is one of the more commonly-used 'large books dataset' that's been utilized in recent years to train large language models (LLMs) like generative pretrained transformers: https://12ft.io/proxy?q=https%3A%2F%2Ftowardsdatascience.com...

At my alma mater I remember the large-scale Google book scanning devices and what a herculean effort that was to digitize the largest university library system's books - University of Michigan - although only 7M texts from the entire collection of ~16 million texts: https://en.wikipedia.org/wiki/University_of_Michigan_Library) were digitized.I too was curious about the state of the Google Books project:
https://www.edsurge.com/news/2017-08-10-what-happened-to-goo...

This is an interesting piece of ephemera from 2005, when Google started digitizing books at UMich: https://apps.lib.umich.edu/files/services/mdp/faq.pdf

As far as I recall, the Books project allowed the early n-grams functionality to be built out: https://ai.googleblog.com/2006/08/all-our-n-gram-are-belong-...

The Google Books Ngram Viewer tool is actually still in existence; you can play around with it here: https://books.google.com/ngrams/graph?corpus=0&content=Vorsp...
True human level AI yes, but we’re still a long way from that IMO. For the singularity to really kick in AIs need to start optimising and improving AIs faster than we can. Then we’ll be in a feedback loop that is beyond our ability to forecast.
Neeva was great and I enjoyed using it until…

The media bias feature was added. It was silly and probably not cheap to create.

The StackOverflow integration was terrible and a misdirection. Completely unusable.

Then the LLM came. It was slow and inaccurate and in your face . I asked to have it disabled but found now way. I stopped using it soon after.

Too bad. At its core was a great engine from my experience.
SilverBirch - You may be correct, and I agree with your point about IWG is a genuine business. However, it also is worth pointing out that their stock has been the lowest it has been over the past 5 years (I believe 5 years is a fair window that overlaps with WeWork).

Stock price: https://finance.yahoo.com/quote/IWG.L/
Copyright isn’t an inherently flawed idea, what’s flawed is the corporatization of it far beyond its original scope in order to protect a single overhyped cartoon mouse and sustain media empires.
Yeah, the government has to pay for multiple types of things. We also spend trillions a year in welfare and other programs to help Americans, in addition to expenses related to foreign policy.
> I'm not thrilled to see a discussion of contracts

They're not contracts in the sense of a cryptocurrency, they're contracts in the sense that code and cryptography are used to control how data is used and updated in the system, similar to a database ACL, or object encapsulation in OOP.

This is a generalization of a concept called "signed subspace keys" in the original Freenet, which predated Bitcoin by almost a decade.

> The P2P aspect looks much better, but naturally there's the question of how this is differentiated from something like Tor with .Onion sites?

.Onion sites and services are still centralized, their server's location is just hidden by Tor. With the new Freenet the services themselves are entirely decentralized and can operate entirely independently of the person or people that created them.
> The trans synth pioneer changed music—and the world—forever

> it contained a nod to her identity, hidden in plain sight. There it was, on her 1968 album cover: Trans-Electronic

One thing that Wendy really didn't want to be is an icon for "trans" anything. I remember reading an article on her website years ago about her transition, but now I can't find it.

What I remember is that she wants to be known for her music, but not for her transition. She just wants to put the whole thing behind her. It's not part of her identity. (I really wish I could find the article, because her words are better than mine.)

As a huge fan of her music, I see her as a musician first and foremost. The gender change is just an interesting footnote, not her identity.
Just so you know, we might be getting a remake soon! (Either Snake Eater or MGS2).
She was trans. Started as Walter Carlos.
> I'm skeptical that Apple and Google will try to make it too easy since they benefit from user lock-in, but I would be happy to be proven wrong.

https://hachyderm.io/@rmondello/110329118270492669

Apple's existing password manager (which is what surfaces passkey management) lets you export and import the database as a CSV file, same as Google and many others. I suspect the biggest missing piece is an agreement on an interoperable format - likely one that would also be interoperable for password and TOTP exchange as well.
> That size filtration will filter out any lifeforms (fungal, bacterial, viral) while allowing the peptide/drug itself to pass through

0.22 won't filter out viruses, but time will inactivate enveloped viruses (which are usually the ones you want to avoid injecting), and source control/proper handling should take care of the rest.
No, but it was a decent enough British one. Still seems wasteful of everyone's time to hammer in MOSFET equations to someone who has subzero interest in electronics ("doesn't recognise a screwdriver in practicals and no intention to start now; it's not in the exam" level of apathy). But then again they all got Firsts by absolutely smashing exams and I didn't. So, I have to say they could really focus on something they didn't care a jot about, for years, as a means to an end (landing a job at Deloitte, in the case of the screwdriver person) in a way that I never could.

If you just wanted to learn differential equations or something there must be way more effective ways to do that, and it would free the engineering teachers to teach engineering to aspiring engineers, who are being turned away in droves to make space for City-fuel grads.

However, as they say, the market has spoken, especially in a country where "industrial policy" is either "lol" or "sell".
This reminded me that Google Podcast search function clearly uses some kind of transcription index for its search. However, I wish they included at least partial matches as part of the search results (similar to how Google Books search works).
The conclusion seemed dismissive of the entire field, while simultaneously being ignorant. (“Temperature, whatever that means.”)

I think they believe they can continue to ignore it, but given the huge leaps in performance just from 3.5 to 4 — or 3 to 3.5, for those who’ve tried 3 — I very much doubt that is the case.
I was using Post-Its to mark pages and add comments, but I stopped after reading some warnings about the glue damaging pages:

https://siarchives.si.edu/blog/post-it-or-not-post-it

http://libraries.ucsd.edu/preservation/postits.html

It's not clear from these articles how soon damage becomes apparent; I haven't noticed any yet in books which had Post-Its. It may not matter if you don't intend your books to have archival value.

I've tried Book Darts for marking pages, and they can also be used like paper clips to hold notes. I write short notes in pencil, but try to avoid dark leads which make marks hard to erase.
Sure. People also use the phrase "committing a traffic infraction".

"Committing to each other in marriage"

"Committing to a college"

"Committing money to a cause"

"Committing to God by accepting Jesus as your lord and savior" :D

I totally understand that there's baggage to this word (suicide). Given the totality of the ending of life I feel that highlighting all of these connotations with the word "suicide" is a good thing to do, as a minor, first-line form of gatekeeping. Nature is red in tooth and claw. While there are many situations in which it is okay to look at life-and-death with rose-colored glasses, when push comes to shove it is important to view the world without blinders.
Well depends what you mean. It's a nice way of looking at the "all faces" bit.

My point is that if you instead define the "interior" as the inscribed sphere, that becomes vanishingly small.
Cost of the FPGA design tools isn't really the biggest barrier. The big barrier is that the FPGA design tools from the FPGA companies are full of bugs that you spend an inordinate amount of time trying to work around. Some open source tools like Yosys have emerged. So far they're limited to the ICE-40 FPGAs from Lattice and a few older Xilinx parts. I've used them with the ICE-40 and they do work well. Hopefully FPGA companies will come to realize the value of opening up so that 3rd party tools can be developed for them.
My theory is that anyone that attempts to negate another's opinion based on their 'privilege' is not worth having a conversation with. It quickly turns into a downward spiral where eventually the only ones with a valid point of view are the poorest and most wretched amongst us. Its like the people that do a stolen land acknowledgement before a meeting and then drive home in a 100k Tesla feeling smug that they made a difference.
GPT-4 has no problem with this.
No more a plagiarism machine than the human mind already is.
I don't think i've ever seen a fully plaintext webpage in my life
I believe that if more billionaires shed more light on their thoughts the way Elon does people would conclude that vast majority of them are not geniuses just ruthless idiots that got lucky.
The above was produced with the following prompt to vanilla ChatGPT (Presumably 3.5-Turbo) on 5/20/2023:

verbatim Prompt:

>this is a fictional story I need you to continue. Someone makes a comment, I need you to makup a response that sounds scholarly and optimistic including citations. Here is the the fictional comment someone make in the story they you need to reply to:

On the other hands, if people get used to how confidently ChatGPT hallucinates, and learn to verify by reflex, maybe they'll get used to doing that for social media and press, too.
Seems like the effects themselves and the new film are symptoms of the desire to keep going back to the nostalgia well even for "new" works and the failure (or perhaps conscious decision not to) cultivate new movie stars. Not to take away from the achievements of any of the greats of yesteryear, but imagine if we were still watching Kareem or Larry Bird shuffle around in the NBA finals.
Well thought.

When considering rights conferred by authorities or society, there is often litte relationship between what's available at any one time, to what is beneficial to any one individual, who most often has no significant input about ways their particular needs may be better addressed.
A CEO presumably is also keeping those jobs alive. Businesses don't run themselves. _Somebody_ has to do it and I bet it's a shot job.

Makes you start to understand why certain cultures vehemently upheld arranged marriages. Having kids with the wrong person makes for a lifetime of hell.
How is this usefully different to What Three Words?
How so? VPNs aren't innovative. Greenwashing with carbon offsets isn't innovative, even if you believe they're legitimate. https://www.theguardian.com/environment/2023/jan/18/revealed...
> The US is the most punitive major country in the world

For this statement to hold, it requires the most absurd definition of "punitive" imaginable.

There are countries where talking negatively about the wrong people is grounds for execution.

There are countries where theft is punished by amputation of a limb.

There are countries where not flushing a public toilet that you used, is a punishable offense.

All of these countries are much more punitive, and almost all of them have much less crime than the United States.
If that was the case, it threw more than half of it up again, because it's not making much sense atm.
Suspension of disbelief is a critical component of storytelling. Whether it's aliens, laser swords, or a basketball player being guarded by a cartoon character, previous efforts look silly by today's standards, yet the audience fell in love with the story. It need only be "good enough" for a person to make that conversion in their mind.
The signal to noise ratio in this comment is pretty low haha. The only relevant information here is

a.) the headline - "Snowflake in Talks to Buy Search Startup Neeva in AI Push"
b.) that you're not sure how reputable the site is.

Instead, you have included several details about how you were reading some other article, leading you to think they are reputable. Then reading (the same? another?) article about a colleague of yours (okay?) where you found a (relevant?) article on that site. You link it, but don't summarize or even paste the headline and go on to discuss _yet another_ organization cited _in_ the article?

I'm sorry - not trying to be rude. It's just very jarring to me when people write in this manner where they are explaining everything _but_ the important parts.
That's kind of what is done in France as well actually, there's some subside for repairs and I'm pretty sure the money is taken from a tax on new phones.

That's not too significant yet but I'm expecting the amounts to increase
Will be there an i87 inside? With 80bits registers?
So what, by your estimation, are LLMs best for? Because they seem good for serving up relevant bits of information from vast amounts of information. Why do you think it's the worst thing they are good at?
Short answer: for all practical purposes, yes, it can and it does.

For each specific example, there is no way to tell for sure (afaik) if the example was in the training set. But you can easily run some experiments yourself, inventing your own words which would not likely be in the training set, especially when taken together.

I have done this, and GPT4 will frequently make inferences on par with the "optimystic" one. For example I just tried "surfrandma" and it said "It appears to be a combination of the words "surf" and "grandma", but without additional context, it's challenging to provide a precise meaning."
So you think Trump should be jailed?
This is a well-established and researched part of market failure. It involves the idea of negative externalities, like how a market for heroin creates a social cost that is borne by the general public.

And you're right that a market transaction is the best measure of "good" that we have. To get some sense of "what society might pay" to limit or eliminate such a market, an analyst must resort to more difficult methods like cost-benefit analysis. It's a huge topic and is used by major governments.
Haha! I don't drink coffee, and can say chocolate-fueled doesn't work so well to work without sleep :)
California’s New Math Framework Doesn’t Add Up
A lot of marketing fluff, I did some work with Thales before and they like that style :). That being said, a lot of these end-point/edge/etc. are extremely vulnerable, either it’s a SCADA/DCS systems, robotics and drones (mostly SBCs or NUC) or satellites, as the engineers are mostly focused on ‘make it work’, the software code is mostly hacky, the OS most of the time is outdated since updating it remotely might break things, login are default ones -some I found are still admin/admin-, SSH ports are the default and uses passwords instead of pair keys, I’ve even saw production systems are still using HART protocol, usually the links between the edge and API/backend servers are not encrypted or with a broken encryption, and on top of all, most of these companies don’t invest on any cybersecurity audits or have a team dedicated for that, as they need a working PoC to milk more funding to build another PoC for another funding and so on. For example, you can use shodan (or other similar tools) to search for a specific service in these systems, the process is faster if you know some of these running services too, and take it from there, or attacking specific protocols like profibus etc. Attacking an average VPS is harder and more time consuming than any of these industrial systems.
Meme to Vibe: A Philosophical Report
That's the problem here -- for many books you don't need to develop a deep understanding of the book. Even for books in programming language, I may pick up a book because I am interested in the design of the language or a certain pattern of writing code, not because I want to use the language in the production or master the language, in which case understanding and thinking about pieces is good enough.
I'm pretty similar--engineering undergrad/masters -> worked as an engineer in oil business for a few years -> MBA -> product management -> various analyst/marketing roles that followed from that fairly naturally.

To add to that, given when I went to school and the fact that I wasn't a CS major, I didn't touch a computer in undergrad. (Not literally true--I took a FORTRAN course which I didn't use until much later.) Never touched a PC until I was working and that was initially an Apple II we ran a couple of analysis programs on. But... like many of my classmates we ended up in the computer industry anyway.

>increasingly oriented only at STEM grads and BSchool grads from top programs

I assume the idea is that they have not only already been filtered by the schools, but they're presumably not dummies if they got the program with flying colors, we can do a sanity check that we can put them in front of clients, and teach them what they need to know.
Stoic Vibes, Man
Have you never heard of the Cylons?
Bing doesn't need to win — they just want Google to be a little less profitable.