skysight-inc/HackerNews huggingface dataset:
For ranking the candidates these predictions are combined into a score by
weighting them:

"recap.engagement.is_favorited": 0.5
"recap.engagement.is_good_clicked_convo_desc_favorited_or_replied": 11* (the
maximum prediction from these two "good click" features is used and weighted by
11, the other prediction is ignored).
"recap.engagement.is_good_clicked_convo_desc_v2": 11*
"recap.engagement.is_negative_feedback_v2": -74
"recap.engagement.is_profile_clicked_and_profile_engaged": 12
"recap.engagement.is_replied": 27
"recap.engagement.is_replied_reply_engaged_by_author": 75
"recap.engagement.is_report_tweet_clicked": -369
"recap.engagement.is_retweeted": 1 "recap.engagement.is_video_playback_50": 0.005

Who set those weights, and why were they chosen?
I’ve started using it as a sort of “shotgun approach” - characterize what you want without trying too hard, let it toss out a jumble of interesting snippets that are often very good leads, and then take over refactoring from there.

I do agree that others who don’t understand what it’s doing may not even review the code output, and I predict that this will cause at least one death in the next ten years.
Not answering for medical industry, but answering for the similar realm of aerospace systems:

One big question is, does the proposed software tool assist a human engineer, or does it replace a human engineer?

If a tool replaces a human -- the phrase used often is "takes a human out of the loop" -- then that tool is subject to intense scrutiny.

For example, it would be useful to have a tool that evaluates the output of an avionics box and compares the output to expected results, to automatically prepare a test passed/failed log. Well, this would amount to replacing a human who would otherwise have been monitoring the avionics box and recording test results. So the tool has to be verified that it works correctly, in the specific operating environment (including things like operating system version, computer hardware type, etc.)

So what about ChatGPT? One big hurdle is that, given the same input, ChatGPT will not necessarily provide the same output. There's really no way to verify its accuracy in a repeatable way. Thus I doubt that it would ever become a tool that replaces a human in aerospace engineering.

How about using it then to assist an aerospace engineer? Depending on the assistance, this should not necessarily be materially different than getting help from StackOverflow.
Georgia (the country) did this exact thing with their traffic police that was notoriously corrupt. After firing literally everyone, they recreated the force from scratch with much more stringent hiring standards and correspondingly higher pay. Most of those old cops didn't even try to get rehired. They ended up having no traffic police at all for about one month before the new force was staffed enough to start running things. Sky didn't fall.

As far as why US cops specifically are like that - it's because they're literally trained to be like that. Look up Dave Grossman and his "killology" nuttery (if you ever heard people talking about "sheep, wolves, and sheepdogs", that's from there). You'd think that would be some kind of fringe stuff, but no - there are police departments where the leadership paid for the entire force to attend one of his seminars.
> The already have low flammability.

Low rates of spontaneous thermal runaway, sure, but they still are extremely flammable if externally ignited or physically damaged. A house fire that could otherwise be put out might turn into a full disaster. An earthquake that physically damages the battery pack could cause a fire that would have otherwise not happened. A flood or minor tsunami might allow for early evacuations and most lives saved, but now the entire town is on fire instead of just water damaged, if every house has a massive lithium pack in their basement.
This works but it's also specifically not using the dex (decentralized exchange, for anyone confused) to exchange fiat / crypto in either direction. Coinbase is doing that.
I'm sure they would simply say it was from improper training since most police recruits are never taught the law, and are often only dealing with hardened criminals for the first 5 years on-the-job.
Thanks, I did actually start work on getting that data but as the blog was already very long, and it would take hours to find and analyse the data, I decided against it. Maybe a future blog!
your comment has nothing to do with the topic we were discussing. The person I replied to made a comment about what a majority of people in America believe.
On reason I use Mastodon is that there is just chronological timeline. Quick scroll and you are done. Bad for advertising platform - good for user.
How is a story about a misuse of technology not a "technology story"?

The "evidence" would not exist if Clearview AI (or any similar vendor) did not purport to offer a reliable matching algorithm and expansive dataset. It's not as if the police randomly picked out someone to frame, and then used software to fabricate evidence for the warrant.
OK, gotcha.

Still, IMHO the OP post is misleading folks into thinking there's a magical GPT-4 that is not the GPT-4 you can also select on ChatGPT, but they are the same models. There's no GPT-4 that's better than ChatGPT's 4. I'm just trying to clear up this confusion for others, and frankly pretty surprised at the harsh downvotes.

There's also no separate ChatGPT API from the regular OpenAI API, I think the phrasing in the OpenAI page is just for convenience. But I'll grant their phrasing makes it canonical.
> likelihood

Irrelevant since people do have the module to reflect and vet thoughts.
AI does not guarantee future improvement either. Humans can also be continuously retrained. I don't understand your point.
Yep. It's the reason why I tend to point anyone interested in the Deck to look at ProtonDB instead. A much more thorough picture of whatever games they might be interested in.

Using Cyberpunk as an example again, it's only given "gold" (a tier below "platinum", and the difference between them is gold runs fine after weaks, platinum is out of box). Plus the comments there also usually give you settings or tips to squeeze out better performance. Sometimes even hidden stuff, like some people reporting an experimental proton version runs a native linux title better.
> And there are penalties for withdrawing before 59.5years, which I would call the "retirement age" on these plans.

Sort of, but in practice not really if you're smart about it and plan a bit in advance.

If you want to retire early and access 401(k) or traditional IRA funds, you can do so without incurring additional taxes or penalties. The strategy is called a "Roth conversion ladder". It takes advantage of the fact that you can always withdraw Roth principal (not investment returns) before any retirement age penalty-free (as long as those funds have been in the Roth for at least five years).

The general outline is that you roll over some of your 401(k) or IRA funds into a Roth IRA every year. This causes those funds to be taxed as regular income tax, but your income is almost certainly going to be dramatically lower than during your earning years, putting you in a much lower tax bracket. This entire amount that was rolled over is now considered principal, and in five years you can use it penalty-free per the Roth rules. Every year you roll over what you expect to need in five years. Once you bridge that first five years (perhaps with preexisting Roth funds), you now have a recurring source of income through your Roth.

Yes, this is some additional complication and requires some planning. But it's not particularly onerous. GP is right that you're likely making a pretty big mistake, paying 40%–50% tax rates (on the marginal top end of your income) in order to avoid some restrictions that are—in most cases—pretty easily bypassed. That's not to say there aren't some very legitimate reasons for keeping money in accounts that don't come with restrictions, but paying 40%—50% in taxes for that privilege makes those situations comparatively rare.

I will absolutely agree that the fact that you need to know these sorts of "tricks" is one of many indefensible parts of our retirement system. And of course, there's always the risk of the rules changing out from under you. But cases where that actually happens in a way that causes significant impact are uncommon in practice.
The big problem with AI R&D is that nobody can keep up with the big bux companies. It makes this kind of project a bit pointless. Even if you can run a GPT3-equivalent on a web browser, how many people are going to bother (except as a stunt) when GPT4 is available?
I have tried it for actually useful things and it does work. e.g. I have used it to write several zsh and neovim snippets for QoL improvements (things that I always wanted but was too lazy too write). I even used it to suggest and make some changes to CPython Internals for some features I wanted to add to python for fun. It is very possible it utterly fails on homegrown (non public) software stacks. But it is still very useful.

I have used it for many non software things as well, and again very useful.
It struggles to accurately call its own API when prompted to. It patches together parts of GPT 3 / 3.5 and has no awareness of GPT4 API calls (at least a few weeks ago).

I've tried 3 separate projects with it (using different platforms from Firebase to Vercel) and it usually gets me 80% there but fails miserably at the nuance portion (its stuck at a CORS policy issue with my last project).

From start to finish I've yet to be able to complete something with it.
Oh I'm on the same page, Gaggia Classic, breville smart grinder pro, and all.

The VAST majority of Americans are "Fooled" and would say "Starbucks" or "Nespresso" is "Luxury Coffee".
I would argue that the coffee industry is where the Audiophile headphone industry was at around the mid 2000s (Monster Headphones, Beats, ETC) where the public was so fooled and only those who knew what good sound was like, knew it was way off.
I'm surprised. I thought it was only men that did bad things these days.
Roughly one in every four to five tweets in the “following” feed is a “promoted” tweet, at least on mobile.

20-25% noise isn’t a great ratio for something that I ostensibly curate.
In industry they use CNC millers, I guess many workers found lathes too unhandy and slow.
A year ago my account with 5700 followers got an average of 3000 impressions per post (art). Today it's only 200-500. It mentions their fanout system was replaced by something new, not sure when or if thats in the drop, but my impression count dropped around April-May last year. Clearly something decided my posts should not shown to my followers very often.
Agree, and let's reverse it. Trump will do ANYTHING to stay in power, including the incitement of a violent coup attempt where they were chanting to hang his own VP!
As far as I can tell, over $10,000 are promised to charity if this market resolves YES, and yet effective altruists are causing it to resolve NO and burn the donation. Is this how efffective altruism works now?
As a Brit this article is laughable. People are literally dying in the UK because so called wonderful 'free' public healthcare doesn't have the ambulances to send to them. Tons of potholes everywhere too. Outside London and major cities, public transport is non-existent to very poor.
Well, it does say this:

Ranking is achieved with a ~48M parameter neural network that is continuously trained on Tweet interactions to optimize for positive engagement (e.g. Likes, Retweets, and Replies). This ranking mechanism takes into account thousands of features and outputs ten labels to give each Tweet a score, where each label represents the probability of an engagement. We rank the Tweets from these scores.

This is basically the ultimate black box, so I don't think you can really conclude anything like this either way.
Most of the major news outlets are not doing so either. The Elon stans are crowing that this will be the long-overdue end of legacy media, but it strikes me that the new 'blue check twitter' might end up becoming even more of a social bubble than what it replaced. There are so many low quality accounts sporting a checkmark now that users who value substance will soon be incentivized to just block anyone they find annoying.
I think it's okay to give Twitter Blue users a boost, as it's most likely not spam (unlike the 95% of my non-blue followers who are bots).
It's oddly fitting that your example workflow appears to be scraping content from elsewhere, rewording it, and generating an image in order to produce automated blogspam.
It doesn’t take 3 months to do this even at wholly internal faang environments except in some special cases.

Most of what people are talking about can be learned in days because they’re 90% the same as other products. Sometimes it's hours as someone else said because they're just generic databases or a pubsub system.
We enshrined capitalism only to discover, too late, that we were the capital, not the capitalists.
I think Instagram in particularly is bad in this regard. It seemingly becomes convinced that I care deeply about the subject of any post that I even momentarily linger on.
I've checked some of the failure mode he mentions using GPT-4 and it answered the questions/completed tasks correctly, so I can only assume the author used GPT-3.5.
> "What I would like from steam is the ability to zoom within their app - I can do it in a browser but in steam you're stuck with whatever desktop zoom you have in windows. It's 2023 and I can't resize the window and zoom the contents?"

For what it's worth, this exact problem exists on Linux (and I presume Mac) as well. We have some workarounds and "hacks" for it on Linux, but none are very palatable.
There’s no way everyone had the same weight in all the recommendation config files.

It’s not about hiding old work, but changes just before making it public.
Elon is addressing this in the Twitter Space right now. "It definitely shouldn't be dividing people into Republican and Democrats; that makes no sense[...] you've identified something we should be getting rid of right away."
It was interesting how many of the airports I could recognize just from playing the game. :D
Well someone just asked about it in the live spaces[1] Elon is hosting and he said that should not be there. An engineer said afterwards it is just for metrics but then Elon chimed in again and said "we should get rid of it, it should be gone."

[1] https://twitter.com/elonmusk/status/1641880448061120513?s=20
Not on Linux, you can't
Musk said that releasing the algorithm will initially be embarrassing, but that they will quickly update it. So it seems that means they intend to at least regularly publish newer versions.

Of course it could also be that they change their mind when spammers abuse the openness.
You should add "kick" sensors to the bottom of the cabinet for full immersion.
More capturing of personal data and more shoving subscriptions down our throats. Nope. Sod off GM.
Do you live in UK or US? I used to live in the country too - and was able to take regular trains in less than an hour from my house to London.

Compare here, we have a Caltrain that only runs once an hour during the day, is slow, and to get to city requires switching to the Bart, which is also slow, and so filthy too, its much easier just to drive into the city, avoiding the potholes, and hoping your car doesn't get broken into when you park late downtown...

UK has it way better without any cherry picking :)
The title of the piece is California versus UK, but lots of the complaints seem to be US versus UK.

Cobra is federal and was always a hack. We Americans need a complete healthcare rewrite, but there isn’t enough political will to get it done and we couldn’t even agree on what/how to change.

Cobra shifts all of the cost to the newly-unemployed employee, whereas previously the employer and employee shared the insurance premium cost and the employer side was tax deductible. It’s only more expensive than while employed because the person can’t deduct it from taxes, while the company could.

The parent of your comment mentioned Obamacare plans. Those plans (and Medicaid) require that you change your insurance policy, so depending on availability you may be able to keep your primary healthcare provider. The out-of-pocket costs vary depending on what you qualify for, but the change in employment allows you to move to a higher deductible plan (cheaper if you conserve your healthcare visits).

All US safety net programs assume the end user is a liar and/or thief so it is your responsibility to prove your need. The UK (and Germany and Japan) got to redesign their social contract in the rubble of WW2; the US didn’t. And WW2 was the reason we ended up with so much employer-sponsored healthcare —- which means being unemployed comes with losing healthcare. We would have far better job creation if employees were more willing to leave companies quickly rather than searching for the next job first or calculating how much Cobra runway they can afford.
> fancy

Where 'fancy' stands for "intelligent", there is all the difference.
I'm not convinced either a heat pump has a cop of ~4.
A thermal power plant is ~50% efficient and transmission isn't losing 50% of the energy.
This also ignores any greening of the grid, present and future. And the fact that a furnace/boiler isn't 100% efficient.
interviewing.io has a blog post. Only like 5% of laid off were engineers.
That actually makes a lot more sense. Unfortunate that it's going that way though. Thanks for the info.
The code is open source, your only risks are bugs, exploits and the government.
You can know the GPT version of ChatGPT based on the OpenAI logo color: GPT-3.5 is green and GPT-4 is black.
>> We either have found a software breakthrough or not (we haven't).

Well it is not clearly not AGI but even the improvement from GPT3 to GPT4 seems to me at least to reflect what one might describe as a "software breakthrough."
I didn't fail to see another perspective. I rejected the other positions as worse (after careful examination). That's different.

Also, neutrality is for the most part just a status quo bias. "Things are good as they are" is a position as much as every other.
I thought it was an april fools joke when I saw this: https://github.com/twitter/the-algorithm/blob/main/ci/ci.sh

Like a dig at the code quality.
Like it or not but it's the twitter that gets value from celebrities. How many people are on social networks jusy so see what their fav celebrites are doing?
The screenshots are that of 3.5. GPT-4 has a black user icon vs 3.5's green.
Hi! I'm a co-author on the paper (Mark Dredze).

We didn't compare to GPT-4, or any instruction tuned model. We're comparing a causal LM pre-trained only (BloombergGPT) to other causal LM pre-trained only models. You need to compare like to like.

Would an instruction tuned model work better? Sure! I would hope so. That seems like a good next step to explore.

It's also difficult to make scientific comparisons to models that we know nothing about. I don't know what data GPT-4 or GPT-3-5-turbo used for training, how many parameters they have, etc. We can't make any scientific conclusions when comparing two systems if we don't know anything about one of the systems.

We compared to GPT-3 results when they were available. Does GPT-3 do better on general purpose datasets? Yes, as we expected it would. It's a much larger model (~3.5 times the size). No surprise there. If anything, the surprise was how well bloombergGPT did against these larger models, beating them on some datasets.
Update: Elon was asked about these in a Twitter Space, he says it's not appropriate and will be removed from the codebase.

Additionally, from another Twitter engineer, the Democrat/Republican flags are apparently 10 years old and not important and do not have high feature importance.
I haven't tried SudoWrite. I'll check it out as well as your post.
It's da first of tha month.
Crypto does a pretty great job of keeping your hands off of other people’s money, is that a problem?
>> but the mistakes are not "parroted bullshit", but minor issues here and there.

Nonsense.

I'm not saying that it is not useful, but I've easily found ChatGPT produces far worse than "parroted bullshit", and does so reliably, and multiple times (repeated patterns of mistakes).

Again, I have found ChatGPT4 (but not 3.5) useful and even educational in some cases, but it's usability requires far more skeptical and error-checked approach.

As one example, since I have a top specialist attorney in the household, I started with some broad legal questions about their field, and then asked their opinion. ChatGPT4's answers were impressive to both of us, and especially the solid grammar.

When the questions got more particular about their specialist area of the law, ChatGPT4's answers got shaky very fast. Asked about a particular somewhat obscure technique, it parroted some very nice-sounding bullshit, which got the concepts very backwards (but it was still very confident and grammatical).

When asked to summarize a published paper about a new innovation in this context, ChatGPT4 very grammatically and confidently completely missed every significant point, again in a very backwards way.

Worse yet, when asked to tell us the paper's publication date, author, and author's employer, all written clearly at the top, it confidently got everything massively wrong. Even after being told to look on the line after "Author: ". Even after being told to look after "Author: FName". It eventually settled on the correct date, but even after being told FName, it continuously kept spouting false authors (sometimes including correct FName) and hallucinated middle and surnames and employers. Interestingly enough, most of the hallucinated authors and employers were well known in the region. So, it is literally establishing the regional context and just spitting out plausibly relevant stuff for that region, but not even figuring out how to summarize something that a 6yo kid could easily sort.

It was hilariously bad. And only hilarious because it was a test (if someone actually relied upon it, it'd be very costly).

Similar results for my field. I got ChatGPT4 to produce some genuinely useful information. But it would also happily hallucinate papers, authors, companies, chemicals, and pretty much anything else.

Middle-of-the-road, where ChatGPT4 has ingested insane amounts of data, it probably knows more than we do, and may be useful for some things.

As soon as you go even slightly off the centerline, it becomes VERY unreliable.

If you take it at face value, you are a fool, being fooled.

EDIT: typos, readability
We have had them here in Massachusetts for a while. $10,000-15,000 rebate depending on what the house requires.
> It works exactly like having a Mac/PC and a phone

Have you seen the shitshow which modern TVs are with their smart apps that stop functioning over time? A car is supposed to function for longer than 2 years and who is gonna force the manufacturer to support updates longer than that?

With CarPlay I am able to bring a functioning Nav, Music and everything.
As a former European supplier for US companies myself, now part of a "Made in EU" company, being friends with enough European engineers I regard highly, I must admit I'm not impartial to that topic.
but the people who care about stats are usually american politicians. they can present them with this data. (and use Elon as a control LOL)
TikTok, unlike Facebook, does not know your friends, your family, your education, your history. It is like TV knows what you have watched. I am not sure if I care about it at all to be honest. It is not a social media platform, it is a TV. Yes, everyone now can be a TV star, that's about it. There is nothing social about it to be honest. I think that's why Mark Zuckberg couldn't compete with it, he never understood the product, he is always coming from the social media point of view. People from YouTube or Netflix probably can do a better job to compete.