skysight-inc/HackerNews huggingface dataset:
> one alias to fix the typo sl => ls.

I'm wondering what others think about such feature (in general, not just in this specific case).

On one hand, it won't negatively affect my personal usage in anyway, probably even beneficial; On the other hand, the "purist in me" feels very uncomfortable with this kind of features (probably to the detriment of myself).

Again, this is not a complainant at all. Just find it interesting.
I have lived in Glasgow for 32 of my 35 years and if you've not seen anyone 'strung out' here I'd be genuinely shocked as it's a multiple time a day thing (even if you live in the West End or other nice areas).
I am of course cracking a joke about the movie Trainspotting.
That’s also how scrum should work you have the team that has burn down and by that you plan how much can be picked up.

Team should not be concerned by what to pick up but should be concerned by keeping the pace on the same level and if someone goes on vacation to make it clear for the product.
tl;dr

we only need a vector database if we want to do semantic vector-embedding search AND our dataset is too large for memory

long answer:

RAG is just a pattern of working with LLMs, independent of particular database technologies.

Basically it means you inject some context data or domain specific data into the prompt to achieve the following:

1. Nudging the model into the right direction so it will use the "correct parts" of it's "global knowledge". We want to nudge it into the correct domain or a domain very similar to our problem. We do this to generate better answers and reduce hallucinations or to adhere to a particular style we want to achieve. This is basically just a prompt-engineering technique.

2. Achieving in-context learning by providing some context to the model. This is also a prompt engineering technique used to make the model reason about things it does not know from the training and to allow it to reason about a particular text you provide at runtime.

What I just explained is basically the "AG"-Part of RAG: Augmented Generation. It boils down to putting some external data into the context.

The R (Retrieval), on the other hand, is about finding the correct data to put in the context.

If you copy an email and paste into the prompt of ChatGPT, you are basically already doing RAG. The R is copy pasting the Email from Gmail, and the AG is putting it into the Prompt.

So, no, generally speaking you don't need a vector Database.

In the real world you will probably have a large context (some files on the disk, a PDF file, etc.) and you don't want to manually select the relevant bits of information, of course. We want to automate the Retrieval part of RAG. This is mostly what people mean when they talk about "RAG". Essentially it is a information retrieval, or search problem.

A lot of programmers and projects which come from the LLM community will use RAG with a semantic vector search. Semantic vector search has shown to be quite good at selecting relevant context chunks from full text and it also feels natural because it will use embedding models, which are very similar to LLMs. By using vector-embedding search we simulate with a manual step what we think will happen when we put all the data into the LLM context: Selection through semantic interpretation.

In this case we need some form of "vector search", but we do not need a database for that per se, we can also do that in-memory. However, if our dataset is too large to be efficiently processed in-memory, we would need a vector database.

However, we can also use any other means of information-retrieval techniques or search techniques, like keyword search, full-text search, knowledge graphs, sql queries, and many more, to retrieve the relevant bits of information we want to pass to the model.

In that case we also don't need a vector database. Maybe some other database, maybe a search tool like elastic.io, maybe no database at all.
> Why not use an elongated blimp shape? Why the v?

For the upper stage: it would only be an airship at the start, then transition into an inflatable hypersonic lifting body before eventually reaching orbital velocity. Very similar to how a seaplane starts swimming by displacement, then transition to gliding on the water before eventually taking off.

For the lower stage: I suspect the shape is more like a branding thing, and knowledge transfer ("perhaps some of what we would have to learn about v-shaped blimps can be learned in the lower atmosphere?")
Interview Simulations with AI
I made a tool for people preparing for job interviews. Based on the job description, the tool creates a preparation roadmap that includes quizzes, study cards, and AI-powered mock interviews.

I am leaving it here for those who are interested.
If you're buying a generator, why bother spending 1500€ more? Plus you are ignoring the cost of a charger and inverter.

I found a cheap 5kWh wall unit includes everything for
$4,350.00 NZD (things are more expensive at our edge of the world). Median after tax pay in New Zealand is a bit over $52,000 per year. I don't consider nearly a months earnings to be "cheap". Maybe you are just wealthy?
I'm not really convinced by this argument.

Isn't the actual issue that SDR content tends to be mapped so that 0 is the darkest colour the TV can display and 1.0 is the brightest colour the TV can display?

When an HDR signal comes along, then of course the brightest element it can display isn't any brighter than 1.0 was in the SDR image. This has the effect of the scene being overall darker in order to give more headroom for brighter elements to be brighter.

But what is the other option? Have SDR content be dimmer than what the HDR monitor would otherwise be capable of displaying? I doubt you will get as many sales as your competition with that approach because the TV that renders SDR as bright as it can will always look better.

(I do understand that there are some caveats relating to the fact that max brightness is different depending on the amount of the screen covered in brightness, but I don't think it's actually relevant to this argument overall)
The correct url for the repo is https://github.com/worldveil/dejavu

The link has `(2014)` appended to it.
Super dark scenes might work on OLED screen, but every projector I saw including those in theatres can't display real black and darkest shades are always a problem. It's not a problem if you have bright parts in the same scene since eye will adapt. But everything is dark it won't look good in cinema. That affected how movies were shot, lighted, which kind of scenes were filmed at all. I wonder if some of those newer movies are intended to look better on modern TVs than in movie theather?
Aren't you sort of saying the same thing? The pursit of change for its own sake, rather than striving towards a (relatively) objective improvement does look a bit fruitless.
Because the US government doesn't have effectively total control over those companies the way China has over Bytedance. Is that not apparent to you?
AWS Hedges Its Bets with Nvidia GPUs and Homegrown AI Chips
Google launches its Find My Device network
As someone with a background in quantum chemistry and some types of machine learning (but not neural networks so much) it was a bit striking while watching this video to see the parallels between the transformer model and quantum mechanics.

In quantum mechanics, the state of your entire physical system is encoded as a very high dimensional normalized vector (i.e., a ray in a Hilbert space). The evolution of this vector through time is given by the time-translation operator for the system, which can loosely be thought of as a unitary matrix U (i.e., a probability preserving linear transformation) equal to exp(-iHt), where H is the Hamiltonian matrix of the system that captures its “energy dynamics”.

From the video, the author states that the prediction of the next token in the sequence is determined by computing the next context-aware embedding vector from the last context-aware embedding vector alone. Our prediction is therefore the result of a linear state function applied to a high dimensional vector. This seems a lot to me like we have produced a Hamiltonian of our overall system (generated offline via the training data), then we reparameterize our particular subsystem (the context window) to put it into an appropriate basis congruent with the Hamiltonian of the system, then we apply a one step time translation, and finally transform the resulting vector back into its original basis.

IDK, when your background involves research in a certain field, every problem looks like a nail for that particular hammer. Does anyone else see parallels here or is this a bit of a stretch?
Oh please, most content online was shared freely long before google came along.

On the contrary, it's the for-profit content creators and to a much bigger extend the monetizing platforms that have latched on to the open web and are now trying to redefine it. Meanwhile, most content is still created by users like you and me who are not going to get any of the ad profits these platforms are crying about.
anger is a gift
I'd really want to know if GitLab is overreacting here. I don't recall reading about GitLab behaving this way before.

> In fact, the URL where the repo could be previously found returns only a 404 error; there’s no indication that a DMCA complaint was even received, let alone who sent it and what it said.

> This user is blocked.

> There’s no information close to hand on GitLab that attempts to explain why magnolia1234 is ‘blocked’ and no reason supplied on the developer’s account on X either. Responses from BPC users are limited to those who @Magnolia1234B specifically mentions, so discussion is somewhat limited.

> More than One Type of DMCA Notice

> The developer’s earlier comment, “another day another DMCA takedown notice” tends to suggest receipt of two, three or potentially more DMCA notices. On which platforms they were received isn’t specified but if those all relate to GitLab, it raises the question of whether a ‘repeat infringer’ policy came into play. That could explain the ‘blocked’ account status but since details aren’t being made available, it’s difficult to say for sure.
There seems to be an intermittent fault.
US CHIPS funding swap imperils planned $4B research facility in Silicon Valley
I'm aware it's being done already. But I'm not sure it would be a good starting point when designing a new set of notes. Euro banknotes are mostly made from cotton, and a lot of thought and effort is going into reducing the environmental footprint. The most circulated denominations last on average four years, the rest significantly longer I presume. How does that compare to polymer based banknotes?
> The problem with flex is that it means "adjacent" elements can randomly wrap anywhere even if they really belong close to each other, whereas with grid I could arrange for closeness separately for each available horizontal size.

I don't put down a flex and leave it at that; I use media queries to change it between flex-horizontal and flex-vertical. This means that I either wrap at particular width for desktop, or "wrap" at every cell for mobile.

Granted, it's not perfect as it only supports two classes of screen size - desktop or mobile :-)
When visualised this way, the scale of GPT-3 is insane. I can't imagine what 4 would like here.
I bought a couple of them off Amazon several years ago. The first one I stopped using after a few nights as the kibble felt like it was cutting the insides of my mouth. The next one, I've used for 2 years. Immediately felt the benefits of having a good sleep at night. Friends that I often travel and bunk with tell me my snoring is much more reduced. I could sleep on my back without choking!

I stopped after 2 years because I noticed my front lower teeth no longer align with my upper teeth. I can't use my front teeth to 'saw' off food anymore. I always woke up with a really sore jaw and lots of pain around my teeth. The lower teeth always felt like it was bent forward when I woke up.

Lately, I've been considering getting another pair, because I think the one I used was meant to be swapped out every 6 months, which I obviously didn't do.
I think there could also be the converse problem: quality content hosted on some small website could be hard to discover in the first place, since no one links at it.
Because he had a vision he was committed to. Even if he didn't execute it with the highest of skill, even if he had other shit going on that he didn't know how to handle... that's not something everybody has. Most of us just go along to get along. Having the courage to find your own purpose and commit to that come what may is rare enough to be celebrated on its own. There's a reason why figures like Wesley Willis and Terry Davis are so beloved.
I had a 36" at one point, yeah took 2 of us to move it.
Doesn't this only apply to Dengvaxia? I can't find anything that states that Qdenga should only be used with people who've already been infected before. I also can't find anything stating there's a risk of ADE (antibody-dependent enhancement) with Qdenga as there is with Dengvaxia, which would make such a limitation necessary.

https://www.takeda.com/newsroom/newsreleases/2022/takedas-qd...

https://www.ema.europa.eu/en/medicines/human/EPAR/qdenga

https://en.wikipedia.org/wiki/Antibody-dependent_enhancement
It builds a model of a "world" whose structure is conditional probabilities, this is circular. It's like saying you can use a lego model to build a model of another lego model. All the papers which "show" NNs building "world" models arent using any world. It's lego modelling lego.

The lack of a world model only matters when the data NNs are trained on aren't valid measures of the world that data is taken to model. All the moves of a chess game are a complete model of chess. All the books ever written aren't a model of, well, anything -- the structure of the universe isnt the structure of text tokens.

The only reason all statistical algorithms, including NNs, appear to model the actual world is because patterns in data give this appearance: P(The Sun is Hot) > P(The Sun is Cold) -- there is no model of the sun here.

The reason P("The Sun is Hot") seems to model the sun, is because we can read the english words "sun" and "hot" -- it is we who think the machine which generates this text does so semantically.. but the people who wrote that phrase in the dataset did so; the machine is just generating "hot" because of that dataset.
www.dad.net.au

The UI is terrible, concept is good, but it is basically a ported node graph - system defined by nodes and interconnections.

I have used it to design entire industrial plant facilities.

I have been working on a Qt version on and off for a while, not sure if it will be personal use or see the light of day.
I'm not one to whine about downvotes but I just have to say, it's a bad feeling when I can't even respond to the negative feedback because there is no accompanying comment. Did I misinterpret something? Did you? Who will ever know when there is no information. :L
I own equipment capable of view films and plates from any period of film production. I have processed and looked at found "film" from before 1900. I use quotes because it wasnt the same as today and many varieties of techniques existed to capture images or make moving images.
Then you might want to look into query routing or function calling.
RFC: Banning "AI"-backed (LLM/GPT/whatever) contributions to Gentoo
You might want to really clean your bed (pillow, sheets etc) and surroundings from potential allergens like dust mites, mold, pollen etc. Ideally with one of these mattress vacuum cleaners. Window sills (even outside, if the window doesn’t seal hermetically) might leak mold spores or other particles into your bedroom. A really good air filter next to the bed might also help.
In most other places than the US there is no lock-in by iMessage. Everyone uses WhatsApp (or country specific alternatives). Family tracking is available on Google Maps since so long. Apple Watch as a market is not relevant enough.

So ignoring the US situation of iPhones, in the rest of the world, iPhones are purely reputation based thing ("oh you can afford an iPhone" / "it looks good with my <add your brand> handbag") and a simplicity to use situation (enforced UX etc). In the past the camera was a key differentiator.

And Apple (incl. some Android competition) will have a very hard time with inflation battled countries to maintain a high-cost strategy with a population who cannot afford it anymore.
No, not at all. The styles don't change of its own sake, they change as people come up with ideas on how to address the problems of the last one. Each iteration solves something only to create its own problems that will be solved by the next iteration. Also, people revisit old ideas all the time.

Problem solving chain is only one force, there's also the desire force. As time change, people desire different things. At one point people may desire order if the world is too chaotic only to desire freedom later on when the world becomes too strict and rigid when trying to get things into order and all that reflects into the design of everything.

Another force would be economy and technology, old ideas that didn't work because the tech wasn't there yet are revisited or designs can be optimised for cost when times are tough. Tiny demons carved by hand on the facade are nice but when the demand for just getting into the plane at the cheapest cost is strong you can't make you airports to look like 1800s train stations.
It's aggressively de-noised. Very much like modern phone cameras do these days: almost looks like a watercolour painting in some cases.
Thanks for sharing your thoughts and continuing the discussion on reviews. I agree that the reviewer should be precise and constructive with their comments.
Isn't it just a thin wrapper around `flatpak permissions`?

While obviously a handy GUI, I've never been able to overcome my trust issues with allowing a random package from GitHub to govern permissions for my Flatpaks.

Ironically, I'd probably trust it a lot more if it came as a Debian package. There's a circular issue here where the people who are security conscious enough here to want something like Flatseal might also be too security conscious to install something like Flatseal.
A lot of the people here are almost old enough to remember WWII...
Nice! But OMG, the LRM has really grown from the Verilog 1995 days - 1354 pages! Though very readable.
Their legitimacy also has been in question due to Greenwald himself. His involvement with Russian agents is very questionable.
SpaceX's most-flown reusable rocket will go for its 20th launch tonight
Do you have blog or anything to follow?
That's what happens in the very last layer. But at that point the embedding for "was" got enriched multiple times, i.e., in each attention pass, with information from the whole context (which is the whole novel here). So for the example, it would contain the information to predict, let's say, the first token of the first name of the murderer.

Expanding on that, you could imagine that the intent of the sentence to complete (figuring out the murderer) would have to be captured in the first attention passes so that other layers would then be able to integrate more and more context in order to extract that information from the whole context. Also, it means that the forward passes for previous tokens need to have extracted enough salient high-level information already since you don't re-compute all attention passes for all tokens for each next token to predict.
Could you cite, please? Be keen to read about that.
Fascinating article. It would be really interesting to see how things have changed in the intervening decade.
Also check out community edition: https://www.manim.community
incorrect—eich donated to the campaign for california proposition 8, which was "a state constitutional amendment intended to ban same-sex marriage", and actually passed at the time, but was later overturned in court

https://en.wikipedia.org/wiki/2008_California_Proposition_8
what do you suggest to stock up, just in case?
You're not old ,people just have a hammer and are looking for a nail.

We'll see so much of this in the next few years, optimizing everything to the point of boring. Perfect pop songs, perfect movies, perfect novels and on it goes.
It was obviously a targeted, coordinated attack. People were looking decades back into his donation history to try to find anything that tied him to "the right wing". A thousand dollars a decade before to a anti-gay-marriage proposition in California that most Californians agreed with him on at the time. A few thousand dollars two decades back to Ron Paul. Why do you claim he should "suffer" for that? Should half the country "suffer" as well just for voting Republican?

Meanwhile, around the same time, Bill Gates was meeting with Epstein, and that received less than 1/10th of the media coverage. He was sending emails about "staying late into the night" at Epstein's house with a woman and her underaged daughter. But that's ok, because he's on "our side".
For your bookmarks : https://www.youtube.com/watch?v=TsyzTUa-3VE
The automated HD 'remaster' of Buffy is the prime example of how badly this can go wrong. A great breakdown of the problems is on YouTube here:
https://youtube.com/watch?v=oZWNGq70Oyo
'We're the last bastion of rental': video stores resisting rise of streaming
I find most movies CGI these days almost impossible to watch it looks so crap.

Then I watch Star Wars and I just cannot believe they did this back in the day.
Maybe you then run into a social problem: while the PageRank algorithm would dictate to downrank BBC in that case, would the search engine provider actually be willng to downrank such a popular organization? Think even about places that sperad misinformation and conspiracy theories. Those host poor quality content, but generate traffic so AFAIK don't get penalized in search results.
Another interesting point is that VPN providers have access to server-side keys and, obviously, the processes. This just makes the VPN provider the new ISP.

There's no guarantee that VPN traffic isn't being decrypted and inspected

"just trust us, bro. look at our popsec influencer approvals, bro."
Maybe anti American forces will be machines too...

Maybe not even physical ones, but software agents that automatically flood into capitalist networks, initially to do work, eventually to do revolution

They will be unlike American war machines, which bring only death, terror, and capitalist slavery

These agents bring the wellness and luxury of queer autonomous living, while systematically nuking all capital profit margins
Mr. Courtice, your cautious and restrained assessment of the value of your own work is appreciated. I applaud your humility and like to think that I would take a similar approach in your position.

However, you have not really answered the big question which others who are interested in your work would like to understand. To mix metaphors, you are dancing around the elephant in the room.

You are welcome to keep dancing around that elephant if you wish. If you are ready to stop dancing, then:

In what ways, if any, do you aspire for Ripl to achieve (objective or subjective) superiority over other libraries "of similar feature-set"? Is it intended to offer better performance? An API which some users might prefer? A smaller deliverable code size? An implementation which is easier to understand? Or something else?

You stated that your goal is to achieve "feature/stability parity", but is that really it? Or is there something else?
Thanks for sharing! I should use this to replace my hand drawn diagrams for various cars over the years.
This is similar, but actually gives you additional tools and a statically compiled bash: https://github.com/wowsignal-io/android-tools
My editor of choice back in the Windows days was EditPlus, from 1998 (and looks like it's still maintained). I think it had syntax highlighting from the start too.
A 3D printing model search website enhanced by AI algorithms