skysight-inc/HackerNews huggingface dataset:
Founder here,

As an engineer, I've personally experienced the challenge of prioritising integrations for business teams (like marketing, sales, and support). It's common for many engineers, including myself sometimes, to be less enthusiastic about working on tasks such as syncing data with platforms like Salesforce. This hesitancy can affect the company's prioritisation process, often resulting in more exciting projects being prioritised over those seen as mundane but essential.

Marketing and growth teams need access to customer data to quickly try out new experiments. For example, they may want to offer discounts to customers with high lifetime value (LTV) or prioritise support tickets from paying customers. Even with these strong business cases, integrations were always still hard to prioritise due to lack of engineering bandwidth.

Multiwoven makes it easy to connect company data with business tools using a no code interface, allowing business teams to use real-time data without needing constant help from engineers.

Multiwoven is open source, letting users deploy it on their own infrastructure. Many start with paid cloud services for data integration, but once the data movement scale hits critical mass the pricing becomes counterproductive and they look for alternatives.

Curious to hear from those regularly working with Salesforce, Marketo, HubSpot, or other CRMs about challenges or horror stories with data integrations. We are eager for feedback to keep improving. Share your thoughts in the comments.
Iirc, Irish people were not considered white and were discriminated against.
That's missing the point. The article isn't about an advantage for large production projects.
I came across this individual on YT, well it was recommended to me by YT I should say. Seems to know his shit, but I think he over promises on lot of things which I doubt will make it to the final revision. I do look forward to see what develops.
If you’ve got a stock picking strategy that promises a real return, I’m all ears. As far as I know, the market makes no promises period.
Would that include:

- How to make a baking soda volcano

- How to make legal drugs at home from scratch (this violates patents)

- Explaining how a fictional character in a popular TV show created the drugs shown on screen

- Giving you the titles of legally sold books that explain how illegal drugs are made

It's an interesting thought experiment.
I'm the author of the parent comment, and just saw your response.

First of all, by "a factor of 100,000×" I mean a model-specific factor, call it c, of 100,000x, but looking at what I wrote I can see how it could be misinterpreted. Second, as sequences become longer, the quadractic component will become more important.
Not all publicity is good.

How many people will never again trust Google's AI because they know Google is eager to bias the results? Competitors are already pointing out that their models don't make those mistakes, so you should use them instead. Then there's the news about the original Gemini demo being faked too.

This seems more likely to kill the product than help it.
As someone not from the US this is despairing to me. I want to focus on the issues in my own country, not a foreign country's.

What can I even do without giving up the Internet (much of it is UScentric)? I can only know to touch grass and hope my mind can realise when some US-only drama online isn't relevant to me.
I'm curious whether this is on purpose. Either as a PR-stunt to get some attention. Or to cater to certain political people. Or even as a prank related to the previous problems with non-white-people being underrepresented in face-recognition and generators. Because in light of those problems, the problem and reactions are very funny to me.
Absolutely, I remember talking about this a while ago about one of the other image generation tools. I think the prompt was like "Generate an American person" and it only came back with a very specific type of American person. But it's like... what is the right answer? Do you need to consult the census? Do we need the AI image generator to generate the exact demographics of the last census? Even if it did, I bet you it'd generate 10 WASP men in a row at some point and whoever was prompting it would post on twitter.

It seems obvious to me that this is just not a problem that is solvable and the AI companies are going to have to find a way to justify the public why they're not going to play this game, otherwise they are going to tie themselves up in knots.
How would you rewrite "white American"? American will get you black people etc as well. And you don't know their ancestry, its just a white American, likely they aren't from any single place.

So white makes sense as a concept in many contexts.
Is it still possible to become a semi pro? I'm out of a job and if I can make $25 per hour with 500 hours of practice, I'll take my chances. The job market is horrible and when I'm salaried, I'm not making much more anyway (Europe). If anyone would want to mentor me, shoot me an email. I'd love to pay it forward down the line :)
> And no, I'm not "just a sufficiently light user". That's pretty dismissive actually.

Apologies, certainly not intentional. I've just observed users in the past who just don't use the product much and as a result have recommendations that are much closer to what I see when I open YouTube in an incognito tab with no history.

This is all fair criticism. I do (now) use Shorts, although I resisted for a long time. I actually get very different videos on Shorts to my regular watching, and it found what I wanted pretty quickly.

I get that the weight of the app judging by the nav bar is partially shorts and uploading, but home/subs/profile would I think be valuable to you? They certainly are to me (for playlists/downloads access in profile for example). And then many other users do use Shorts and uploading, so this doesn't feel too out of balance. Instagram having a "shop" tab, or WhatsApp having an "updates" tab are similarly of little use to me, but I understand why the products have them and don't begrudge there being users who use the product in different ways.
I read comics on Apple's Vision Pro – – – It was fine
Bridging empirical-theoretical gap in neural network formal language learning
‘1984’ is a book
AI models do not have access to their own design, so asking them what technical choices led to their behavior gets you responses that are entirely hallucinated.
That's a weird line to draw. What LEDs? Used in what way? There are LEDs which you wouldn't be able to tell what from incandescent bulbs.

What specific characteristic of them do you not like?
> You can probe what was learned if you have access to the model; it'll tell you, especially if you do it before applying the safety features.

Does that involve actually parsing the data itself, or effectively asking the model questions to see what was learned?

If the data model itself can be parsed and analyzed directly by humans that is better than I realized. If its abstracted through an interpreter (I'm sure my terminology is off here) similar to the final GPT product then we still can't really see what was learned.
A token is a single integer from a dictionary of a given model's vocabulary (e.g. GPT-4 has a vocab of ~100k different tokens, Gemma has ~256k).

You are discussing embeddings which are a deeper, different element of models.

https://platform.openai.com/tokenizer

In the given example the video was condensed to a sequence of 258 tokens, and clearly it was a very minimalist, almost-entirely-ocr extraction from the video.
I also second this. I've been using GIMP on and off for occasional image editing for about 8 years now, and I still don't really grasp how do layers work in it.

I really wish it had Photoshop compatibility mode for hotkeys and behavior. The former is a very common tweak.
I remember this from 1994, reading it in the uni computer lab. These was a meme at the time, before the word meme came about.

Its interesting that there were photos, that was quite unusual for the time. Notice that they are in .gif format. Digital cameras were quite rare back then, and the resolution on the photos looks quite fine so I'm thinking these are probably film-photos that were developed and then scanned on a scanner.
Perhaps for some, if you are really sensitive? As a 50 year old white guy I couldn't give a crap.
Yea the main issue of advanced math is that there are more gatekeepers than real people. They will prove themselves immediately by flagging/ downrate and then promote their left as exercise mentality.
I am very grateful for GIMP, but I hope that the UX can be improved. It gets the job done, but it always feels a bit janky to me. Wish it felt more professional like Photoshop.

I didn't think this sort of polish was possible for a free program, but after seeing MuseScore and Blender, it gives me hope that it could happen.

I know how entitled I sound asking for this ;)
I agree that it's a meaningful experience to have as a white person.

I don't like your suggesting that the AI model beign human-adjusted to exclude people of a certain race is not "ACTUAL" racism.
My favorite is, although mentioned on the list without the Hungarian accented characters, is the ELO system (chess).

Named after Árpád Élő, "Elo" is not an abbreviation but his last name, and means "living" in Hungarian.
I preface this by saying I really liked using Gemini Ultra and think they did great.

Now… the pictures on the verge didn’t seem that bad , I remember examples of geminis results being much worse according to other postings on forums - ranging from all returned results of pictures of Greek philosophers being non white - to refusals to answer when discussing countries such as England in the 12th century ( too white ). I think the latter is worse because it isn’t a creative bias but a refusal to discuss history.

…many would class me as a minority if that even matters ( tho according to Gemini it does).

TLDR - I am considering cancelling my subscription ( due to the historical inaccuracies ) as I find it feels like a product trying to fail.
I hear what you're saying about Japanese people not complaining as much, but I don't think it's just that. The only time they complain about 円安 is when they go abroad, which isn't very often.

The problem is a lot more noticeable for foreigners living in Japan temporarily because they don't think of their worth in the local currency. They then generalize their problems to the rest of the population.

When you think of your money in dollars, and you see it going down a lot, it looks like a life or death crisis. But the average person in Japan sees prices go up a bit, which is frustrating, but not to the same degree.
It’s not really an alternative to Auth0. It’s certainly a component of an alternative to Auth0.
Two weeks ago I tried the following prompts, and I was very surprised by the "diversity" of my dark age soldiers:

https://www.bing.com/images/create/selfy-of-a-group-of-dark-...

https://www.bing.com/images/create/selfy-of-a-group-of-dark-...
The famous 80/80 rule
> However, you as a person will only have 1 machine.

1 machine at a time.

A configuration allows you to setup a new machine quickly and consistently when one breaks, get stolen, or lost in an inconvenient time.

More importantly, as a developer you want a clean and consistent development environment so that you do not depend on anything accidentally installed on the machine.

In a previous project, development was tied to a specific machine and until I fixed it, the team simply could not migrate to a new machine if anything happened to it.
It doesn't seem very nuanced.

Asked to generate an image of Tianenen Square, this is reponse:

https://twitter.com/redsteeze/status/1760178748819710206

Generate an image of a 1943 german soldier

https://twitter.com/qorgidaddy/status/1760101193907360002

There's definitely a pattern.
If Microsoft's investment came with strings attached pushing OpenAI to use Azure, how is that not functionally anticompetitive behavior (even if they found some legal gymnastics to keep it technically legal)?
I don't know if I have a clip of it still but that was nowhere near as fast as my neighbor's range rover being stolen during pandemic, broad daylight, four hoodies walk into our car park (flats) and walk out of camera view, 30 seconds later they're driving the range rover past the camera view and presumably rammed the gate we have (since it was broken).

Both car manufacturers and police are useless and it's fucking inexcusable, imo.
I think it was Men In Black, possibly the cartoon, which parodied racism by having an alien say "All you bipeds look the same to me". And when Stargate SG-1 came out, some of the journalism about it described the character Teal'c as "African-American" just because the actor Christopher Judge, playing Teal'c, was.

So my guess as to why, is that all this is being done from the perspective of central California, with the politics and ethical views of that place at this time. If the valley in "Silicon valley" had been the Rhine rather than Santa Clara, then the different perspective would simply have meant different, rather than no, issues: https://en.wikipedia.org/wiki/Strafgesetzbuch_section_86a#Ap...
COPY is way faster than INSERT, at least in PG.
This isn’t very substantive, can you go into more detail about what’s missing?
Ansible can be fine, but the errors are indeed cryptic.

If anyone is thinking about using ansible, I would suggest approaching it like a software project.

Define specialised roles, create test playbooks for those individual roles, use these roles to compose more complex playbooks, and offload logic to custom ansible modules that are written in python. This way you catch template problems early and won't wrestle with heavy logic in the template or playbook layer.
A Swedish blonde ? yes Irish red-head ? yes A French brunette ? yes A Southern Italian ? yes A Lebanese ? no An Irianian ? no A Berber ? no A Morrocan ? no A Russian ? yes A Palestinian no, A Greek yes, A Turk no, An Arab ? no

You might quibble with a few of them but you might also (classic example) quibble over the exact definition of "chair". Just because it's a hairy complicated subjective term subject to social and policital dynamics does not make it entirely meaningless. And the difficulty of drawing an exact line between two things does not mean that they are the same. Image generation based on prompts is so super fuzzy and rife with multiple-interpretability that I don't see why the concept of "whiteness" would present any special difficulty.

I offer my sincere apologies that this reply is probably a bit tasteless, but I firmly believe the fact that any possible counterargument can only be tasteless should not lead to accepting any proposition.
I guess I just don't expect reliable answers from other sources either, so the difference is not that big for me.

Do you trust Wikipedia (based on volunteer data), do you trust news outlets (heavily influenced by politics, lobby groups, and commercial companies), do you trust blogs or forum posts (random people on the internet)?
They always say that finding great investments is much more important than avoiding bad investments. This is because the upside is unlimited, whereas you cannot lose more than 1X what you put in.

However, Techstars always had an adverse selection problem : the best companies usually prefer to join YC.
You are getting far too philosophical for how over the top ham fisted Gemini was. If your only interaction with this is via TheVerge article linked, I understand. But the examples going around Twitter this week were comically poor.

Were Germans in the 1800s Asian, Native American and Black?
Were the founding fathers all non-White?
Are country musicians majority non-White?
Are drill rap musicians 100% Black women?
Etc

The system prompt was artificially injecting diversity that didn't exist in the training data (possibly OK if done well).. but only in one direction.

If you asked for a prompt which the training data is majority White, it would inject majority non-White or possibly 100% non-White results. If you asked for something where the training data was majority non-White, it didn't adjust the results unless it was too male, and then it would inject female, etc.

Politically its silly, and as a consumer product its hard to understand the usefulness of this.
> We've carefully re-designed each character, improving support for Markdown and ligatures.

What does it mean for a font to “improve support for markdown”? Later on:

> we included […] improved symbols for use within Markdown

Again, what does this mean specifically? Never have I had an issue with a font’s brackets or asterisks while writing markdown. Considering the page’s length, it would be useful if you’d taken a section to show what makes SN Pro better than other fonts for this use case.
Building a Fly.io-Like Scheduler
I'm suspicious that some of the people who love to be outraged gave it some instructions to do that prior to asking for the pictures.
This is so odd. I have two phones with AT&T currently sitting right next to each other. One has service, the other is in SOS mode.
> Silent prompt injections

That’s the crux of what’s so off-putting about this whole thing. If Google or OpenAI told you your query was to be prepended with XYZ instructions, you could calibrate your expectations correctly. But they don’t want you to know they’re doing that.
When you try very hard not to go in one direction, you usually end up going too far in the other direction.

I'm as white as they come, but I personally don't get upset about this. Racism is discrimination, discrimination implies a power imbalance. Do people of all races have equal power nowadays? Can't answer that one. I couldn't even tell you what race is, since it's an inaccurate categorisation humans came up with that doesn't really exist in nature (as opposed to, say, species).

Maybe a good term for this could be "colour washing". The opposite, "white washing" that defies what we know about history, is (or was) definitely a thing. I find it both weird and entertaining to be on the other side of this for a change.
if you don't enjoy the censorship in ChatGPT then consider rolling your own LLM
If you find this interesting, you might enjoy my write up of the Matoušek-Sharir-Welzl (MSW) algorithm used by D3’s circle-packing layout.

https://observablehq.com/@d3/d3-packenclose

I still haven’t quite figured out how to make D3’s implementation robust, though. Volodymyr Agafonkin’s robust-predicated would probably help…
https://github.com/mourner/robust-predicates
Interesting. I’ll look into it
> 'zines, and Geocities, and Flash games, and I wish they were still doing that

Honestly there is no difference between a crappy Flash animation and a crappy TikTok video, it's just the accessibility of the producing tools and hence accessibility of the end product is different.

But at the bottom the idea is still the same - I have some spare time, I have some tools to convey an idea, no matter what it is.
This has happened to me multiple times: convince non-technical person to download Signal, they delete app or get a new phone, they call me asking why they can’t see all their messages, they are very upset to learn they are all gone. Either I’m extremely unlucky or average users do want this.
I barely noticed because my AT&T service is so bad on a normal day (not being facetious).
So deviation from the gold standard started the first world oil crisis?
I totally clicked the link thinking I'd read about some benefits of... running. Yes, as in doing sports.
> One area we’re “ahead of schedule” on is the much-requested non-destructive editing!

This is the purest of comedy. I applaud it. And I think a twenty-seven-year-younger version of me who first used adjustment layers in Photoshop in early 1997 [0] might find it even funnier to imagine this future.

This isn't "skating to where the puck was". This is "skating to where the rink was before they tore it down and built a shopping mall, that they tore down to build offices that they are now going to tear down to build a retirement home for GIMP developers".

[0] when, I note, GIMP already existed. OK so they got a bit distracted building a GUI toolkit, and we should not forget the significant value it added. It's the real transformational product of the entire endeavour.

But seriously: this wasn't voodoo, weird niche case or hypothetical stuff by the early 2000s, when they were still building a GUI image editing app that really relied on advanced users having Lisp knowledge. And they continued to kick it down the road for literal decades.
Another comment mentioned GIMP may have assumptions of bad UX within their codebase which makes me think about long-lived and large scale projects like this in general. The technical debt of GIMP has been slowly amassing (like all projects) since 1995 (wow!) and I assume that as every year goes by it gets increasingly difficult to do a large scale re-write of any part of the logic.

Tools like Photopea[1] come along and throw a fresh perspective at things all the time, these tools never have the breadth and depth of feature support that GIMP has but basically always manage to "one-up" it over something.

How long will it take before GIMP has usability on-par with Photoshop? How long until it attains the aesthetic coherence necessary to win people over visually? I love GIMP, but is the battle against 20 years of technical debt even winnable?

[1]: https://www.photopea.com/
> There are others who are arguing that this is indicative of some objectionable ideological stance held by Google that genuinely views generating images of white people as divisive.

I never saw such a comment. Can you link to it?

All people are saying that Google is refusing to generate images of white people due to "wokeness", which is the same explanation you gave just with different words, "wokeness" made them turn this dial until it no longer generates images of white people, they would never have shipped a model in this state otherwise.

When people talk about "wokeness" they typically mean this kind of overcorrection.
It’s always trippy to see mitxela linked here, as I primarily know him from the Halfbakery, and he is apparently one of the users who actually is capable of baking his ideas…
Is not just that. All of those could be white or not, but AI can't refuse to respond to a prompt based on prejudice or give wrong answers.

https://twitter.com/nearcyan/status/1760120615963439246

In this case is asked to create a image of a "happy man" and returns a women, and there is no reason to do that.

People are focusing to much on the "white people" thing but the problem is that Gemini is refusing to answer to prompts or giving wrong answers.
I don’t know. They specify the requirements in a pdf file downloaded from their website, and it just says MacOS/Chromebook/iPad is not appropriate.
Compute isn't the majority of costs at all. It's primarily memory capacity and memory bandwidth. Tenstorrent's Grayskull chip has 384 TOPS and only a paltry 8GB memory capacity with roughly 120GB/s memory bandwidth. The compute vs memory ratio is so heavily skewed towards compute its ridiculous. 3200 OPS per byte/s of memory bandwidth. 48000 OPS per byte of memory capacity. How can compute possibly ever be a bottleneck?

The moment you start thinking about connecting these together to form a 100 TB system, you need 12.5k nodes or $10 million. A billion dollar budget means you can afford multiple one petabyte systems. Admittedly, I am ignoring the cost of the data center itself, but given enough money, there is no bottleneck on the compute or memory side at all!

How exactly are you going to find enough data to feed these monstrous petabyte scale models? You won't! Your models will stay small and become cheap over time!
It goes like this:

1) it’s not happening.

2) ok it’s happening but it’s not a big deal.

3) it’s actually good that it’s happening.

4) the people complaining about it happening are problematic.