skysight-inc/HackerNews huggingface dataset:
I find nothing wrong with your statement. I am curious about the paper's use of "indiscriminate." I read this as "just feed the AI more AI output without care" which one can indeed do deliberately.

Seems to me that deliberate discriminate use should yield better against expectations.
Came here to say the same. "indiscriminate" doesn't really make sense. It's very deliberate.

However, there is one scenario: Scraping of web data. In that case, AI labs might know what is model generated.
Think about this: Someone came up with that idea. A group of people probably approved it. Someone else had to purchase those cards or set up the job to send them to customers.

At no point did anyone think "this doesn't seem like the right response, I should warn someone further up the chain". Probably due to the idea coming from further up the chain.

And those ubereats/doordash/grubhub cards are worthless because $10 won't get you a thing, you'll need to spend another $30. Which is why corporate always buys those because I am guessing they're much less than $10 to buy.

What an utter clown strike.
We will also provide batteries that are pre-built in our factories

Building it yourself is only an option

This is convenient for bike shops mostly
In node, you generally don't want to do anything CPU bound.
Salary in this case would serve as the consideration for the work they perform, but lawyers love making things as explicit as possible (understandably).
How will he stop it in your opinion? I don't think he has tens of billions in personal wealth...
It would be nice, but it's probably foolish to assume children's compliance.

Roughly 50% of US adults have dabbled in drugs, and that number goes way up if you include legal drugs like nicotine and alcohol.

Education is important, but so are structural protections. It's the C vs Rust debate, you can have safety by being super-duper diligent all the time, or you can have safety by design.
ast-grep is a structural code search tool that leverages syntax trees to find patterns in source code. But it was hard to extract a sub-language embedded inside a document.

ast-grep now supports a feature to handle language injection, allowing you to search for code written in one lanuage within documents of another language.
Your choice of codecs is odd. If you decided you need h.264 for compatibility, that also means you need AAC and burned-in subtitles/captions or you lose all of h.264's broad support to missing audio and text support.

If you can restrict support to just current Android, Chrome, and Firefox, you can use VP9, Opus, and SRT. Willfully-outdated platforms like Apple and Roku have screwed over everyone.
OpenAI is at the center of the AI hype vortex. VC want AI startups. AI startups don't have their own tech, they are reselling OpenAI APIs. Microsoft wants to dump money into OpenAI because they immediately book their investment as Azure revenue, and because it helps them make Google look bad. NVidia obviously happy to participate by selling Microsoft the hardware they need to rent to OpenAI with the money that Microsoft gave them in the first place.

Nothing about the tornado of money looks like it would end in the next year. It has plenty of momentum.
> org structures are sometimes in flux

At one point I went for nearly two years reporting to nobody. My previous boss left, and I basically was not on anyone's radar, but still got paid.
hello, the battery comes with a docking support so you'll have both side of the connector (femal on the battery, male on the dock). Inside the docking you'll have a PCB with wago that enables you tu just plug the bare cables inside. Once done, the only thing you need to do is t select the write CAN protocol (with the app or we can ship it with the right protocol in case you d'ont want to use the app).
The most obvious way to select a good manager for an organization is to have the workers in the organization elect their managers. Shareholders in the investment capitalist model will not like this, as they want to be the ones selecting the managers (C-suite), even though they have no day-to-day involvement in the corporation's operations, and typically are looking at quarterly returns as their metric for what is 'good'. Unexamined assumption here: define 'good'.

Workers in a corporation will instead tend to elect people who ensure decent working conditions, profit-sharing and safety, while also maintaining a positive balance sheet, e.g. in a steel mill. If they live in the local area, they're also unlikely to support dumping industrial waste in their rivers and streams. A shareholder who lives halfway around the world has no such motivation, so they'll hire managers who pollute and cut safety and health standards in the name of higher profits and dividends for shareholders. If their results are terrible they'll call on their pet politicians for a corporate welfare (bailout) to protect their holdings. Silicon Valley Bank is a recent example, but there are dozens.

Easy fixes: (1) Only allow the workers in a corporation to be shareholders in that corporation, with one vote per share, with shares based on skill and experience (2) Less radically, give worker unions the same voting rights when it comes to C-suite selection as the shareholder unions (Blackrock/Fidelity/Vanguard/StateStreet etc.). (3) End corporate welfare programs - just let collapsing corporations go into receivership and find new operators for each entity, and stop the 'fail upward' trend.
>You should be able to buy the kind of home you want.

This is not the stated goal of many, many, density/zoning/transit advocates. Bills have been introduced, stillborn, in Oregon, Washington, and California to ban single-family homes in certain areas by "forward thinkers".
I've found I do best with a very similar diet... mostly meat and eggs, some cheese and sometimes onions, mushrooms etc. I notice that some starchy foods hit me worse than others. Legumes are pretty bad on how I feel, and spike me to no end. Similar with wheat products. Corn, rice and potatoes spike my glucose, but I don't feel physically ill the next day like with many other foods.

It sucks, and I wind up cheating 2-3x a week (I live with people that eat different than I do).
y'know, aside from the massive tax advantages that come from doing that.

You put money in Sam's jar. Sam doesn't put money in the jar. He takes the money out.
FrameWork looks like they only go up to 64GB: https://frame.work/gb/en/products/laptop16-diy-amd-7040?tab=...
Parabéns!! Go Briefer
On second thought, I missed your point, I think. In my example we could reason through why the tennis ball ended where it did. In yours, we couldn't. My bad.
I’m surprised he wasn’t downvoted for asking that.
Sorry for the confusion!

We are a legit company, we even fundraised 3M two years ago

https://www.breega.com/gouach-secures-e3-3m-seed-funding/

We are doing this kickstarter as we are now targeting B2C consumers in addition to B2B
But projects are great in Sonnet, you just dump db schema some core file and you can figure stuff out quickly. I guess Aider is similar but i was lacking good history of chats and changes
Of course he will. He's giving them Azure credits and those cost him less than the alleged $13bn. He has thrown a spanner in the Google's works with his "investment" into OpenAI and that is worth something to MSFT, because it distracted Google for a few years. Unfortunately, LLMs and the rest of AI today are still not good enough to do any useful work, so it's all going down the same path as VR/AR. Ultimately, AI has no platform, no APIs, no standards, so it's impossible to achieve the economies of scale and the low barrier to entry to build something like you can on top of TCP/IP. Google hovered up information and made it accessible via their search service, LLMs are amazing at turning any amount of information into garbage.
I call this "LLM inbreeding." It's a vicious loop where new models are trained on AI-generated content, resulting in the quality degenerating with each generation.
I started my coding journey aged 48 in September 2022, learning Python via a few Youtube tutorials (I've documented the journey in this video: https://youtu.be/nvGzCSor8Is).

Then came the release of the Open AI API (Nov 2022) and I dived into AI-assisted coding, first using ChatGPT and GitHub Copilot (in PyCharm and VS Code) and most recently Mistral Codestral and Cody by Sourcegraph (which is offering Claude 3.5 Sonnet as their default LLM). I run a newsletter dedicated to AI-assisted coding: https://aicodingclub.com

Interestingly, when I started exploring frontend development, using Flask as my framework of choice to manage both my backend and my frontend, my LLM assistants offered Vanilla JS by default for all client/server interactions (not React, Nextjs or Vue), so that's how I shipped my first web apps.

I released the AI Jingle Maker in September 2023. The app will be one year old in a few weeks. It has attracted 25,000+ people and has become a decent side hustle. So I've decided to invest more time into shipping new features on a regular basis. I created an audiogram maker (HTML/CSS/JS), a promo maker, added a voice recorder and a file uploader. I also launched a radio stations directory.

Last week, I started experimenting with a new approach of audio editing, different from the usual "channel-based" DAW UI, inspired by the infinite canvas logic popularized by Figma, Lucid, Miro and others.

Even if I recently "graduated" from vanilla JS to Nextjs, I preferred to use pure (old school) Vanilla JS for this new feature. It was super fun to code. It took me 4 days and 2 nights.

There are still tons of things to improve (I'd love to have some help to optimize the play/pause logic for instance) but it's a pretty decent MVP. Earlier today the first mixes were created and saved by the community.
If you'd like to have a quick look at the app in action, I recorded a quick demo: https://youtu.be/MSvUjJ09Mp8 You can also check out Audio Canvas on https://aijinglemaker.com/audiocanvas (it requires a free signup, there are 250+ sound effects available to test the tool, as well as a few shared templates).

Disclaimer: because of its form factor, the web app is only available on screens wider than 1250 pixels. It would not make much sense on mobile, even if made 100% responsive.

I'll keep on working on the product over the next few weeks.

The main challenges so far have been:

Managing the playback / export-bounce logic based on the x position of the first file on the canvas, taking into account trimmed sections, trailing silence, etc.

Tweaking the trimming bars UX (put them outside the waveform).

Managing unique file instances across edits

Developing some workarounds to mitigate the delay between "stop" and "full stop" (I haven't found so far a way to fully kill all processes to allow for a risk-free blazing fast pause/resume action. I read it's a common issue with JS-based audio players).

Still work in progress.
Serious question, is this an actual risk or is this the business equivalent of writing a panicked tweet that my car has lost 6 gallons of fuel already and may run out in a matter of hours? Because to me it sounds closer to the latter
As an experienced dev I can tell whether a (direct) manager will work for me or not within about three weeks, with some variance depending on organizational pressure (in lean times you can tell sooner, in lush times it takes longer — a result of how much of the managerial skill needs to be brought to bear).

If a manager doesn't work for me, I don't care how good of a manager they are by any organizational measure, since I know I can get (and deserve) a better working environment. In this case if nothing changes, I am going to leave — which should rightly count as a demerit to such a manager.

There are even cases where people will work harder just before they quit, so as to leave a good impression or secure a pending promotion (despite present management) prior to their departure.

Seen in this way, what makes a manager good for an org seems to be different than what makes a manager good for an IC. TFA seems to be looking at it from an org perspective only (if one is being generous, since what they have studied is hardly an org), which can probably work in the short term, but will lead to ugly consequences in the long run.
Indeed. You’re very wise!
Maybe someone in Uber's marketing department was very clever and saw this opportunity. "He Crowdstrike, we see that you are having a bad week. How about we help you out with free gift cards for your customers. That will help fix up the relationships". Or maybe they even paid Crowdstrike.
You still have some that control, but in a much more indirect way.

There are three kinds of data now, synthetic, pre-2022 and current. Everything pre-2022 is definitely written by humans, synthetic data is still synthetic, and post-2022 is a mix of both.

I wouldn't be surprised if "AI detectors" work somewhat for this use case. They're biased, far from accurate and a terrible idea if you need to make important decisions (like whether to expel a student for cheating), but there's quite a large room for errors here.
Hi there! I believe the mention of "trust" is related to the paper Reflections on Trusting Trust by Ken Thompson https://www.cs.cmu.edu/~rdriley/487/papers/Thompson_1984_Ref...
Though I do think the tagline used could definitely be improved from a marketing standpoint.
They write perfect software. Why should they test it ? /s
More likely a phishing attempt, or TechCrunch got trolled.
There was a musician in my town who passed a hat after each show, and he said, "put in whatever you wouldn't be embarrassed to accept if someone gave it to you."

I can see someone thinking $10 was a nice idea, but letting the impact settle a bit before narrative reingagement would have seemed wiser. Interesting to think about what to do instead though. Thought of discounts on renewals or account credits, but anything that seems like bargaining is going to get flak. In terms of who was really affected by the outages, maybe demonstrate recognition by donating to a PTSD or family support charity. wonder what thinking of each customer is a person in a family would do to tech product decisions in general.
CrowdStrike says bug in quality control process led to botched update
See, now we are getting to the interesting core of the whole thing, a core argument which was masked by a somewhat trendy metaphor.

Which is precisely why I dislike them.

The core argument is one about the non-existence of free will and one many people reject as you were right to point out. The reasons vary from personal discomfort with the idea of not being in control, over religious ideas of souls, to basically falling for the illusion and defending it.

The more interesting question about determinism is in which way it is deterministic? Like the movement of the planets? Like the weather? Or like brownian motion? Probably a mix of all of those, but what mix?

And if everything is an input and output and any slight variation throws of the long term development of the system, there would be no way to test that theory with two separate human entities and no way to make accurate predictions on long time scales, which makes the whole point kinda moot.
When Microsoft strikes an exclusive deal with OpenAI to use their models, it is a smart, brilliant, clever move.

When Apple strikes an exclusive deal with suppliers for parts, it is sound business practice.

When Google strikes an exclusive deal with Reddit, it is ..

Some of you have no idea how businesses work, and it shows.
Groq’s models are also heavily quantised so you won’t get the full experience there.
Hi from Argentina!

We had conscription until ~1990, when one of the conscripts was killed by their teammates and lieutenant, and the body hidden so he was declared a desertor for a few weeks [1].

Old anecdotes are like: "John broke a glass and all of us were forced to stay in the regiment during the weekend sleeping outdoor." In any works it's clearly abuse, but it's a fun story in conscription.

My father was a conscript during the "Blue and Red" revolt ("Azules y Colorados") [2]. I don't remember the details, but the Military Junta split and it was so difficult to understand which was the rebel side and the loyal side, that the sides were named just "Blue" and "Red". My father used to say he was in the "Green" side because both "Blue" and "Red" fired at him.

Anyway, not having a nearby nuclear power with our name in their to-invade list makes things easier.

[1] Autotranslation: https://es-m-wikipedia-org.translate.goog/wiki/Caso_Carrasco... Original: https://es.wikipedia.org/wiki/Caso_Carrasco

[2] https://en.wikipedia.org/wiki/1963_Argentine_Navy_revolt The article calls one side "Colored", but "Red" is a better translation.
Can’t you just instruct your llm of choice to transform your prompts like this for you? Basically feed it with a bunch of heuristics that will help it better understand the thing you tell it.

Maybe the various chat interfaces already do this behind the scenes?
Would it be better to go all the way and completely rewrite the source material in a way more suitable for retrieval? To some extent these headers are a step in that direction, but you’re still at the mercy of the chunk of text being suitable to answer the question.

Instead, completely transforming the text into a dense set of denormalized “notes” that cover every concept present in the text seems like it would be easier to mine for answers to user questions.

Essentially, it would be like taking comprehensive notes from a book and handing them to a friend who didn’t take the class for a test. What would they need to be effective?

Longer term, the sequence would likely be “get question”, hand it to research assistant who has full access to source material and can run a variety of AI / retrieval strategies to customize the notes, and then hand those notes back for answers. By spending more time on the note gathering step, it will be more likely the LLM will be able to answer the question.
And a factor for Mistral typically is it will give you less refusals and can be uncensored. So if I have to guess any task that requires creative output could be better suited for this.
The 4th Amendment doesn't mention citizenship. It covers the entirety of the people of the United States. So U.S Citizens, U.S. Nationals, and permanent resident aliens all have the same rights as far as the 4th Amendment is concerned. It does get more ambiguous when you consider undocumented aliens, temporary resident aliens, and nonresident aliens.
There are random news sites out there that have reported the name incorrectly.

e.g. https://fortune.com/2024/07/19/cloudstrike-microsoft-massive...
https://www.standard.net/news/business/2024/jul/23/lessons-l...

Looks like a minority, though it's concerning that Fortune reported it with an incorrect name.
Yes! It’s our third iteration on the design and we’ve fixed all the flaws we’ve been identifying in the last two years

We’re really proud of our current product, as we want to bring to market a battery that is more sustainable and hope we will manage it!

We did a lot of effort on the engineering and the software quality
Exact instruction challenge https://www.youtube.com/watch?v=cDA3_5982h8
On rhel9, this is a list of my installed shells. You might notice that dash is smaller than ls (and the rest of the shells).

$ ll /bin/bash /bin/dash /bin/ksh93 /bin/ls /bin/mksh
-rwxr-xr-x. 1 root root 1389064 May 1 00:59 /bin/bash
-rwxr-xr-x. 1 root root 128608 May 9 2023 /bin/dash
-rwxr-xr-x. 1 root root 1414912 Apr 9 07:26 /bin/ksh93
-rwxr-xr-x. 1 root root 140920 Apr 8 08:20 /bin/ls
-rwxr-xr-x. 1 root root 325208 Jan 9 2022 /bin/mksh

$ rpm -qi dash | tail -4
Description :
DASH is a POSIX-compliant implementation of /bin/sh that aims to be as small as
possible. It does this without sacrificing speed where possible. In fact, it is
significantly faster than bash (the GNU Bourne-Again SHell) for most tasks.
I have trouble parsing your sentence, to be honest. What are you asking?

Are you asking how am I sure that/if my specification is correct?

Are you asking how do I make sure I have no bugs without a proof?

Maybe you are asking something else entirely?
Ate some cheese before dreaming: Google and MSFT (as maintainers of the dominant mail clients) start charging TLDs under the table to go on GMail/Outlook's "Default Allow" list, except, of course, the ones that Google administers
Relevant xkcd: https://xkcd.com/2962/
A fact which hopefully most people are aware of. I did not question that.
Language diversity means access to more training data, and you might also hope that by learning the same concept in multiple languages it does a better job of learning the underlying concept independent of the phrase structure...

At least from a distance it seems like training a multilingual state of the art model might well be easier than a monolingual one.
Then you have to suck up to clients/customers. And they're often way more demanding and irrational than managers in a company.
I mean that's definitely an opinion you can have.

But I think society has decided people who want to engage in acts of resistance and sabotage shouldn't be allowed in airports.

As you might be aware there's quite a history of people using the aviation system to make a political point via sabotage.
Not sure how you screen for this in interviews but..

My WORST managers have been guys who fly off the handle on administrative minutiae like the formatting on an internal wiki, tabs-vs-spaces, or making lots of PR comments on trivial code changes at 10pm without ever clicking the approve button.

The common theme seems to be having no focus on what clients actually do with the product and their satisfaction.
The API changes and these robots.txt were part of the same strategy - preventing third parties from scrapping their data and reducing the AI generated content that makes it into their data. So they can sell that data and make money.
Yes indeed! This is our documentation! Happy to give you more info if needed at contact@gouach.com!
Why don't these companies spend a bunch of money digitizing old texts? There's bound to be tons of good training data that isn't online.
Hoping that humanity can slowly overcome larger biological threats in the near future.
yes but there is a fuse per cell so even updisde down there is no fire hasard: https://docs.gouach.com/eco-designed-batteries/additional-be...
America is a bit of an exception where single family detached houses are often put in ridiculous places, such as right beside giant highway interchanges.

Densifying already high traffic areas makes sense. And is the default in most other countries.

There are probably extremists who would bulldoze suburbia and try to piggyback off sensible changes though.
This misunderstands fitness. Its not a sure bet what is most optimal is what you see. “Good enough” given environmental context is what you see. Just like with certain crystal structures in chemistry, you may only be in a localized threshold of fitness stability that is not necessarily optimal, but separated from another optimal configuration by having suboptimal intermediary steps that need more activation energy to overcome before falling into a state with lower entropy (or more optimal fitness).

In other words you can never be sure if synthetic data is any good or if what things gravitate toward are really most optimal.