skysight-inc/HackerNews huggingface dataset:
In an economy, gold is just one more good. Sure, we could use it as an inflation index. Or we could use gasoline, or new cars, or eggs, or any of a million other things. Why should we use gold as opposed to all those other things?

Or, here's an idea, maybe we should use a weighted index of several of those things as a measure, in order to prevent misleading data from the fluctuations in the price of any one item?
I think it makes sense not to include it to the license. Such solutions cause additional cost just by the needed computing power, which the customer needs to pay for. So the cost of the JetBrians license needs to include that in the long term.

If one would like to use another AI tool like Copilot they would still need to pay for JetBrains AI.

In a lot of environments Coding AI usage is not allowed or even possible (no internet access), and would just be a cost driver without any benefit.
If it's so great make it available to try, I am not interested in all this marketing spiel. google has turned into a company that talks a lot in public about how great it is instead of just putting out great products.
Fancy name, fancy website, charts, people cosplaying as Steve Jobs. This is embarrassing. Hey Google, you guys are presenting a LLM that is at best as good as ChatGPT, but you are like a year late to the party. Maybe shut the f*ck up, marketing wise, and just get people to use it. Bard is just bad right now, let Gemini convince people instead of a fancy marketing page.
Russian phishing campaign is hitting targets across the world
An objective, encyclopediac approach to philosophy would be listing the views on whether or not the word exists applied to a political party.
Which has the problem of striking for the reason that company X paid the transport union to not deliver products for competitor company Y, so that's why usually laws limit that principle.
Show HN: Lume – automate data mappings using AI
Hi HN! I'm Nicolas, co-founder of Lume, a seed-stage startup (https://www.lume.ai/).

At Lume, we use AI to automatically transform your source data into any desired target schema in seconds, making onboarding client data or integrating with new systems take seconds rather than days or weeks. In other words, we use AI to automatically map data between any two data schemas, and output the transformed data to you.

We are live with customers and are just beginning to open up our product to more prospects. Although we do not have a sandbox yet, here is a video walkthrough of how the product works: https://www.loom.com/share/c651b9de5dc8436e91da96f88e7256ec?.... And, here is our documentation: https://docs.lume.ai. We would love to get you set up to test it, so please reach out.

Using Lume: we do not have self-serve yet. In the meantime, you can request full access to our API through the Request Access button in https://www.lume.ai. The form asks for quick information e.g. email so that I can reach out to you to onboard you. Please mention you came from HN and I’ll prioritize your request.

How our full API product offering works: Through Lume’s API, users can specify their source data and target schema. Lume’s engine, which includes AI and rule-based models, creates the desired transformation under the hood by producing the necessary logic, and returns the transformed data in the response.

We also support mapper deployment, which allows you to edit and save the AI generated mappers for important production use cases. This allows you to confidently reuse a static and deterministic mapper for your data pipelines.

Our clients have three primary use cases

- Ingest Client Data: Each client you work with handles data differently. They name, format, and handle their data in their own way, and it means you have to iteratively ingest each new client's data.

- Normalize data from unique data systems. To provide your business value, your team needs to connect to various data providers or handle legacy data. Creating pipelines from each one is time consuming, and things as small as column name differences between systems makes it burdensome to get started.

- Build and maintain data pipelines. Creating different pipelines to that map to your target schema, whether for BI tooling, downstream data processing, or other purposes, means you have to manually create and maintain these mappings between schemas.

We're still trying to figure out pricing so we don't have that on our website yet - sorry, but we wanted to share this even though it's still at an early stage.

We’d love your feedback, ideas & questions. Also, feel free to reach out to me directly at nicolas@lume.ai. Thank you.
Isn't having GPT 3.5 still a pretty big deal? Obviously they are behind but does anyone else offer that?

3.5 is still highly capable and Google investing a lot into making it multi modal combined with potential integration with their other products makes it quite valuable. Not everyone likes having to switch to ChatGPT for queries.
ResultMaps – OpenStreetMap data and contributor analyses
Every cultural environment, not just the current one, would demand some sort of alignment.
This is for the non technical, non professional customer who is sitting at home on their TV deciding to “rent” a movie. When presented with two options, Buy or Rent, the former is obviously incorrect if it can be yanked away. Both options are rent, with different durations.
and whisper large is 1.55B parameters at 16bits instead of 4 bits, I believe. so nano-1 weights are ~1/3rd the size. Really impressive if these benchmarks are characteristic of performance
I hear you. I needed an analogy that most of the people here would be familiar with and it's the best I had. Agreed it's not the best :)
... two vulnerabilities - CVE-2023-23397, which is an elevation of privilege flaw found in Microsoft Outlook, and CVE-2023-38831, a remote code execution flaw discovered recently in WinRAR.
I don't see why it's so philosophically difficult to say the information that makes the winners look bad belongs in the encyclopedia.
I'm getting a blank page from your link
6 months is way in advance. PSF policy is to ask 4-6 weeks before the event (Timeframe: We require that applications be submitted 6 weeks before the event/project start date - this gives us enough time to thoroughly review, ask questions, and have enough time to send you the funds.), so 6 months is more than enough time.

And we're missing the issue: the organizers were asking for $9k, which by all means should have been an easy yes/no. If they would have asked for 100k, maybe, but $9k is chump change.
Or gold is expensive.
That compounds really badly with another lack of specificity in JSON: parsers can treat duplicate keys in arbitrary ways, e.g. keep only the first or last value, combine values somehow, error out, etc.

When keys are not unique, their order can matter again, and can matter differently to different parsers.
You already mentioned this higher in the thread, no need to repeat yourself.

For the record I agree with the grandparent post's question: at least, gov is _supposed_ to be controlled by the citizenry through elections, corporations are not. I can have ("should have") visibility into what the government is doing, corporations can hide (and do hide) as much real information as they can and there's no way for me to get to it.

Whether it's naive of me to think so or not is not what is being discussed here.
Zoom out on bitcoin then and it looks less volatile too!
How Will You Measure Your Life? By Clay Christensen
If I go to Bard, it specifically says that it' PaLM2 (on the side).
I’m afraid the NSA regularly funnels information to the FBI and other domestic policing entities, and this has been widely documented [1]. The government even deigned to declassify proceedings from their special secret (!) court that decry the practice where NSA gives illegally-obtained surveillance to the FBI, which then manufactures a reason to go after someone using a technique known as “parallel construction,” concealing the surveillance source(s).

[1] https://theintercept.com/2019/10/10/fbi-nsa-mass-surveillanc...
This was all chosen to be able to fold in to the q4 earnings cutoff to close before end of q4-2023.

Remember it’s all a dog and pony show for shareholders.
This is pretty cool! I've had my eye on Wing for a while, as a avid fan of Pulumi. I was fortunate enough to have the freedom to use Pulumi in a past role, and it revolutionized the way I thought about infrastructure.

My current org has been slow to adopt IaC, and Bicep has been all for which I've managed to drum up appetite. I was surprised somewhat to enjoy the simplicity, but eventually I think we'll outgrow it. My hope is by the time we're ready to graduate, things like Wing, or radius will be more mature and easier to weave in.

On a side note, it feels disingenuous or at least inaccurate for a project to brand itself "new". I feel like I've seen this posted to hn a few times, how long will it be "new"? There's at least one 8-month old post.

The word "new" scares away certain types, who happen to be in leadership or decision-making roles.
I'm specifically asking bard if it's running on top of Gemini.

The answer is no which clearly contradicts the content of the blog post.

Another excellently planned launch by Google.
If you're hitting some email providers API, then you don't need AI to do the spamming. I don't see that problem as any different from another anti-abuse responsibility of the email provider.

AI could substantively rewrite the email for each mail so that it is hard to recognize as the same thing, but when the customer's recipients start marking things as spam it's gonna go through the existing processes.
Thank you, I enjoyed this post.

I am thinking that iteration is just traversal and traversal is just execution.

Take iterators in C++ or standard library "algorithms" library in C++. Or iterators in Rust or in Java.

You just want to traverse and collect values (and calls on functions in some interleaving), which is like joining tables as this article says.

I'm thinking that the definition of the traversal (such as Kafka pipeline, clojure threading syntax, Clojure data driven design, Javascript lodash pipeline) can be mapped to tuples and then the computer can optimise arbitrary chains of traversals based on the number of potential tuples are available and what traversals are equivalent paths or routes to the same traversal.

In other words, every program is a compiler pipeline or database query pipeline.

Maybe Prolog and Datalog can help here. Optimisation of arbitrary traversals and determination of identical traversals.

Or monads are just ordered traversals and OCaml compilers are just traversals of execution (function application) and relationship following, which are joins.

The relational model is everywhere.
Bard doesn't support Gemini in Europe yet
Bard has a setting to enable something approximating streaming responses (still not quite as nice as GPT)
It probably says a lot about tech people if my comment, that obviously is wrong on every level, is taken this seriously. :)
DRM on Android is already ubiquitous and runs in trusted hardware contexts (TEEs). These are also used for Android’s secure key storage.

Normal apps usually don’t have the opportunity to run there, so this levels the playing field somewhat in terms of security.

And unless there is also attestation or binary encryption involved, I doubt this would give app developers any DRM-like capabilities.
There are also countries like the uk that get bard but without gemini but with the old palm model instead.

https://support.google.com/bard/answer/14294096?visit_id=638...
Poettering is very convinced that this is not a bug.

https://news.ycombinator.com/item?id=11008771

https://github.com/systemd/systemd/issues/2402
I realize that this is essentially a ridiculous question, but has anyone offered a qualitative evaluation of these benchmarks? Like, I feel that GPT-4 (pre-turbo) was an extremely powerful model for almost anything I wanted help with. Whereas I feel like Bard is not great. So does this mean that my experience aligns with "HellaSwag"?
Well, a couple things occurred to me when I realized it was at least 2 instances.

First, I'd have to get them talking to each other. I am not an expert at Docker, and I just do the most basic stuff with it.

And second, I think they'll need to be reachable from the web, so I'd want to host them somewhere out in the cloud, and not on my home network. NearlyFreeSpeech doesn't offer Docker hosting yet (that I know of) so that means paying more for somewhere else for it...

And at that point I decided I didn't care enough about the benefits to deal with all the downsides, and just signed up on a Lemmy instance. It was actually the second instance, because the first one had stability issues. I then realized I didn't like how that instance was being run, and signed up on third, which I've been happy with and it's been relatively stable. At least, when it had problems, so did most other big Lemmy instances.
That is just not true. Inflation is not an immutable law of nature. In fact, we should expect to see the prices of certain commodities go down as technological advances drive efficiency and productivity. And in fact many times in the past we have seen the price of food, for example, go down relative to other expenditures.
Idk, porting isn't free, especially good ports. It seems less likely for eg a successful indie game to contract out a port, if all existing owners have to get it for free.

It would be very user-friendly and am quite happy to have also gotten some mobile versions on Humble bundle
exact same for me, although after seeing it I do have a difficult time believing it was accidental.

But I also don't care, it doesn't bother me at all.
The issue is you really need to create a brand new benchmark with each release.

Users will invariably test variants of existing benchmarks/questions and thus they will be included in the next training run.

Academia isn't used to using novel benchmark questions every few months so will have trouble adapting.
If you're in Europe, Bard doesn't support Gemini yet
It seems like it's running at comparable speeds to GPT4 prior to Turbo. I could be wrong, but what I'm trying to say, it ain't bad at all.
This, and also building the marketing website.

It feels really desperate
Tesla doesn't sell that many high end models in Sweden, a single train or a few dozen trucks can probably bring a week's worth of inventory.
If you want better answers, ask better questions.
The title says "for windows 10 updates". I don't understand how that suggests anything about other versions of windows, upgrade paths, or anything else misleading. Also, the article has all the info you replied with, and as i said - some of that is new to me. (Last time I ran windows in any serious way was a laptop that didn't have good linux support... That was when xp was the latest version. I just don't track MS very closely)
https://spotlightjs.com/ doesn't work

Only http
Hmmm.. Seems like summarizing/extracting information from Youtube videos is a place where Bard/Gemini should shine.

I asked it to give me "the best quotes from..." a person appearing in the video (they are explicitly introduced) and Bard says,

"Unfortunately, I don't have enough information to process your request."
Just curious, why do you need filtering permissions for your use case?

Decrypting a push notification appears to be supported using 'mutable-content' with a notification service.

In fact that is the example used here: https://developer.apple.com/documentation/usernotifications/...
And somehow, when reading the benchmarks, Gemini Pro seems to be a regression compared to PaLM 2-L (the current Bard) :|
Fair point, TIL about another incredible capability of the BEAM. As long as you're willing to write Elixir, this is clearly a superior scheme for deferred tasks/background jobs.

One issue I see with this scheme still is that you have to be careful of what you do at initialization of the app since now all your background jobs are gonna run that. For instance, maybe your task doesn't need to be connected to the db and as per the article it will if your app does. They mention having hot-modules, but what if you want to run 1M of those jobs on 100 workers, you now have a 100 unnecessary apps. It's probably a non-issue, the number of things done at initialization could be kept minimal, and FLAME could just have some checks to skip initialization code when in a flame context.
Does anyone know if SQLite has a public roadmap? This combined with a gin or gin like index would be a killer combination
Aren't you talking about this? https://support.google.com/googlepixelbuds/answer/7573100?hl... (which exists?)
Winglang looks really cool. I'm really curious how Winglang will evolve their language syntax and semantics to make cloud development more expressive (I assumed `bring` and `inflight` keywords are just the beginning?).

At Shuttle[0] we've built something similar but instead of building a language from scratch we've built on Rust using metaprogramming and the type system to achieve the same effect. For now we haven't hit any limitations that would warrant a new compiler as metaprogramming allows us to express cloud development quite naturally inside the language.

[0] https://www.shuttle.rs/
>Spotlight is built that you don’t need Sentry to run it

Pretty cool that this is a feature. I was assuming you'd be required to use Sentry to use Spotlight.
When the asset changes hands, it is sold and the then current market price is known. For real estate, the market price is disclosed publicly. For other assets the price may or may not be disclosed, but it is known by both parties and probably by most people wanting to know that pay attention. This is what I meant by the truth will come out.

Let's say your parents, with whom you have a great relationship, are selling their house to downsize and you want to buy it. How tempted are you to get an independent house inspector to audit the house and make sure it's still standing and that you can trust your parents that the house is as the say it is? Essentially zero percent. Meanwhile there is your druggie cousin's dealer who has a house they are wanting to sell and you want to buy it. How tempted are you to get an audit done on THAT house? basically 100%?

We already DO implement the mechanism to avoid scamming people, TRUST. If you have it with someone, you are much more likely to not require an audit, the less you trust that person, the more likely you are to want an audit.

> What you're saying is that we have a mechanism to prevent people from scamming each other, but you'd rather not implement it because you see yourself as more capable of profiting off the scam arbitrage.

No, I'm talking about the basics of economics in our system. If you invest in US treasuries, they are very boring, guaranteed by the biggest government on the planet and very very safe. They also pay next to nothing in real(inflation adjusted) terms. If you invest in companies(aka stocks), then there is real economic risk, but the returns are ridiculously more than the boring, safe US treasuries. Same with your employment. You can go get a boring govt or academic job and be very safe @ work or you can go choose a very risky, but lucrative job that pays a lot. Everyone is free to choose their risk adjusted returns as they personally see fit for their levels of risk tolerance. The more risky will try to make it big and be the next Musk, Bezos, Gates, etc. The less risky will work at the local DMV or school.

> Companies aren't people, there's no natural expectation of privacy rights. As with software, a society where the books are open is more secure and more able to capitalize on that security.

I agree with this, but that's not related to this discussion at all. Personally I think companies should always have open books. That doesn't change that company X thinks the asset is worth $X and Company Y thinks the asset is worth $Y. They can either not do business or hire an independent auditor. Forcing an independent auditor into every asset valuation is just adding extra bureaucracy that isn't needed.
> GPT-5 isn’t here after a year despite immense commercial desire.

I know March 14 to December 6 feels like a heck of a lot more than a year in AI time, but this is particularly sloppy, even for Marcus.

Yes, I know GPT-4 was done training before March 14, but for all we know GPT-5 may be in the precise same state now.
> "Using the power of Google Tensor G3, Video Boost on Pixel 8 Pro uploads your videos to the cloud where our computational photography models adjust color, lighting, stabilization and graininess."*

I wonder why the power of Tensor G3 is needed to upload your video to the cloud...

*https://blog.google/products/pixel/pixel-feature-drop-decemb...
What error are you seeing? Works over here. Its hosted on Vercel so shouldn’t be too complicated or different than most similar deployments.
That's actually quite interesting. I hadn't read the entire presentation, to be honest. Maybe it's a case of communicating priorities differently to different stakeholders... After all, it's about what the primary motivation is.

Aside from that, the statement you're quoting is deeply puzzling to me. No work is ever "100% guaranteed to be correct", not even something formally verified by a computer, so that statement is either false, vacuous concerning correctness or he didn't mean it literally... (Maybe 100% really means 99.99999% of the time, or something)
Quite literally almost all the criticism of Sundar is that he is ALL narrative and very little delivery. You illustrated that further... lots of narrative around GPT3.5 equivalent launch and maybe 4 in the future.
"Dearest LLM: Given the following raw benchmark metrics, please compose an HTML table that cherry-picks and highlights the most favorable result in each major benchmark category"
Yeah splats can encode view dependency without SH, but not with a correct geometry. E.g. often, you see reflections encoded in GS as just a 3d scene on the other side of the mirror. Other view dependency effect can make the surfaces "fluffy", etc. This is not great when you also try to get decent geometry.

That said, I don't think SH are the best way to represent view dependency. Other approaches using MLP or deep features seem more promising.
Please note: this is a pdf file, that doesn't resolve to a nice neat name like "Meesst-program.pdf". It's a currently funded r & d program with ESA.
New York Could Be the Latest State to Ban Noncompete Agreements
Okay,

how do I even change the boot logo in BGRT so it persists across boots? From userspace, no less? And how do I turn them off? On your generic dell/lenovo boxes I doubt it's even possible.
The question is whether people think of their database as a processor of data or a storage location for data, exactly as it was provided. Given that a lot of people use SQLite as the latter, it's a worthwhile caveat to make people aware of.

Additionally, Javascript environments (formalized in ES2015), your text editor, and your filesystem all guarantee that they'll preserve object key order when JSON is evaluated. It's not unreasonable that someone would expect this of their database!
TFB Round 22 Released
Awesome project. I was looking through the Github and if I understand correctly, then it's plugged in to the OpenAI API by default?

Is there an option for using other LLMs with it?
> Do you object to McDonald's selling 3 sizes of soft drink?

Yes, actually, for different reasons - McDonald’s charges only a tiny bit more for the largest size of drink than they do for the smallest (which is easy because soft drinks are a few cents’ worth of syrup and water, and the rest is profit). That pushes people toward huge drinks, which means more sugar, more caffeine, and more addiction.
The H2 database uses almost that exact syntax:

create table foo(my_json json);
insert into foo values ('{"a":{"b":{"c":"d"}}}' FORMAT JSON);
select (my_json)."a"."b"."c" from foo; -- where the () around the field is mandatory

https://h2database.com/html/grammar.html#field_reference