skysight-inc/HackerNews huggingface dataset:
> What have we got now? ChatGPT is trained to give all sides of the issue and not express strong opinions, which is better than 90% of journalists and academics manage.

I think we're experiencing the "golden age" of AI at the moment. We'll see what kind of monetization OpenAI and others will land on, but I would be shocked if messing with the model's output for commercial gain is not in the cards in the future.
Boxcars – Build LLM Application in Ruby on Rails
Maybe they could. But they don't. They invest in companies, but they don't tell the companies how to run themselves.
I don't know if it's more popular in absolute terms, but it's more acceptable to be upfront about it, so it pops up in places that seemingly don't or shouldn't have that kind of affiliation. Here's an example:

https://archive.fo/XVGA8
I got a notification my computer would be restarting in 60 seconds as soon as the install completed.

This is not new. I got the same notice earlier today updating a MacBook running Big Sur, which is two versions before Ventura.
Location: New York City

Remote: Can do Hybrid/On-site, Remote Preferred

Willing to relocate: No

Technologies: TypeScript, React, Redux, NodeJS, Python, Django, Flask, SQL, MongoDB, GraphQL, REST API

Profile: https://www.linkedin.com/in/davidzcheng/

Email: davidzcheng@protonmail.com

As a full-stack engineer, I’ve consulted with startups on how to create responsive and accessible front ends in compliance with WCAG standards. I enjoy working closely with clients and end users and let their feedback inform the software I write. Last year I launched LiveStateDB, an open-source developer tool, which offers real-time database capabilities for React apps and solves challenges with complex state and database management across many clients. My mission is to build intuitive, accessible, and user-friendly tools for both developers and end users.
Location: Los Angeles

Remote: yes, contract basis

Willing to relocate: no

Technologies: C++, Qt

Résumé/CV: https://metadevo.com/kenyon_resume.pdf

Email: sam@metadevo.com
I agree, but:

"Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting."

https://news.ycombinator.com/newsguidelines.html
You have a narrow definition of reasoning. Formally and technically it is solving a symbolic reasoning task through a sequence of steps. Yes we know it's not conscious and not human reasoning.

> At no point does the LLM know that 5+6 = 11

Does it need to "know" that (by your narrow definition of "know") in order to reason about a word math problem?

> if asked to solve a problem in which 5+6 was an implicit component of the solution but not explicitly present in the text, it would be completely lost

Can you provide an example? What makes you believe it can't be trained to solve those too? That's just a higher abstraction over the language. Add more layers, more training, etc. Many humans cannot solve basic math word puzzles that this artificial neural network can already solve.
Sure. And this one is entirely ceremonial. Thus it can be obsoleted by, quitting the ceremonies. Just don't attend.
I agree that we can conclude that AlphaGo, GPT, and stable diffusion are geographically far from an AGI in program-design-space, just like we could conclude that an airship, an airplane, and a rocket are all far apart from each other in aircraft-design-space.

But I don't think this offers certainty that AGI won't be developed for a long time (temporal distance). Nor that there are a large number of fundamental breakthroughs needed or new hardware, rather than just one or two key software architecture insights.

With the eager investment and frantic pace of research competition, it seems like there will only be increasing pressure to explore AI-design-space for the near future, which might mean that even radically different and improved designs might be discovered in a short time.
Possibly he estimated that AGI will come after his death. Like most of us, he was content to do his best work, knowing he will not have to personally deal with the consequences of his own creation. That he is 75 and got worried, now that's an interesting development.
Name: Jason

Location: San Francisco, USA

Remote: Open to Remote or Hybrid

Willing to relocate: Yes

Technologies: Kubernetes, Docker, Terraform, Ansible, Golang, Bash, Java, Jenkins, AWS (EC2, S3, RDS, ELB, EBS, VPC, Lambda, Route 53, EKS, API Gateway)

Résumé/CV: https://drive.google.com/file/d/1kQPcn31hFOmV0S86hZ-MKhDtRzPiuN41/view?usp=share_link

Email: contact+hiring@jasonriddle.com

LinkedIn: https://www.linkedin.com/in/iamjasonriddle

Pitch:

Hi, I’m Jason.

I'm a DevOps Engineer with over 7 years of experience in the Financial Services industry. My previous projects include:

- Lead architecture, design, and implementation of Kubernetes cluster, running on AWS. This reduced our monthly infrastructure spend by $20,000, decreased deployment time from 1 hour to 10 minutes, and saved developers collectively over 100 hours every week.

- Designed and implemented a request tracing system for Golang and Scala-based microservices, allowing the team to spot and reduce 99th percentile latency from 1.5 seconds to 400 milliseconds, a 73.3% improvement.

- Built virtual machine images using Packer and Vagrant saving 500 hours per week in manual environment configuration.

SEO Keywords: DevOps Engineer, DevSecOps Engineer, CI Engineer, Platform Engineer, Production Engineer, Infrastructure Engineer
This study was reciently highlighted in the Esquire story "The Rise and Fall of the High-Top Sneaker"

https://www.esquire.com/style/mens-fashion/a55587/high-top-s...

"In 2008, Kobe Bryant, already in the league 12 years, decided for the fourth shoe in his Nike Zoom Kobe line, he wanted something different. "We got around to his next shoe, just talking future ideas and concepts, and he point-blank said, 'I want the lowest, lightest-weight basketball shoe ever,'" said Eric Avar, one of Nike's superstar sneaker designers, in a video interview. "'I want to prove to people that you can wear a low-top basketball shoe.'"

"The official story, which feels sort of like a calm monologue in an ad, is that Kobe, though he attended high school just outside of Philadelphia, was mostly raised in Italy, and was passionate about soccer. Kobe noticed that soccer players, aside from the jumping unique to basketball, play in a fairly similar way to basketball players: lots of quick changes in direction, a lot of cutting, variation between sprinting and slower speeds, a need to suddenly spring in one direction or another. And when was the last time you saw a high-top soccer cleat? Is it possible that high-tops aren't necessary for basketball, either?"
It’s this. The biggest limitation I saw was that you can only transfer out $20k per 7 days, no wire transfers.
Yup, see page 51: https://help.apple.com/pdf/security/en_US/apple-platform-sec...
I get support emails for "how do I cancel my Apple App Store Subscription?" when Apple governs the cancellation process in a centralized and simple manner.

I also get support emails for password resets, which I try to make as simple as possible.

People don't want to learn new tools if their existing tools (language) work just fine.
Nextcloud - FOSS alternative to Google Workspace
Look at all that virtue.

Bitcoin started a literal tsunami of financial crimes, I feel bad for hyperinflated countries and if they find some use in bitcoin that's great for them, but I for one will stay the fuck away from anything blockchain related if I can help it.
Yep, happened to me as well. Hope it's not permanent.
I'm curious what evidence you provided, or were certified to provide, or even if that's required for medical data.

Coming from the financial field we often had staff want to do fun and destructive things with data storage as part of decom, but regulators (eg. SEC) and auditors (eg. for SOC, PCI, etc) always want evidence and a custody trail.

In practice that means a certified vendor who'll maintain a good paper trail and provide back a certificate of destruction that means some NIST or similar type standard. Less fun, more paperwork, but less likely to cause trouble.

And it doesn't mean their destruction is any better either, just that the associated red tape is.
> Income inequality is good

[Citation needed]

To be clear, I'm not implying that it would be good to have absolutely everyone make exactly the same amount. I'm saying that income inequality at high levels is bad, demonstrably so, and inevitably leads to concentrations of wealth.

I'm also not sure why you think that high VAT and lack of inheritance and wealth taxes are "left-wing" policies. Those are all regressive, and exactly the kinds of things that the right wing is pushing for here in the US. At most, I would think that such policies would be compromises between a left wing that wants progressive income taxes alongside inheritance and wealth taxes, and a right wing that wants VAT and basically nothing else.
> graph basically makes me think there is no "normal" and no trend

You're right. The data shows "across successive monetary and fiscal regimes, and a variety of asset classes, real interest rates have not been 'stable', and that since the major monetary upheavals of the late middle ages, a trend decline between 0.6-1.8bps p.a. has prevailed. A consistent increase in real negative-yielding rates in advanced economies over the same horizon is identified, despite important temporary reversals such as the 17th Century Crisis. Against their long-term context, currently depressed sovereign real rates are in fact converging 'back to historical trend' – a trend that makes narratives about a “secular stagnation” environment entirely misleading, and suggests that – irrespective of particular monetary and fiscal responses – real rates could soon enter permanently negative territory" [1].

Basically, over the very long run, real rates go down 0.6 to 1.8 basis points (1/100th of a percentage point) each year, and tend to be low. We've witnessed a few centuries of extraordinary growth, which mandated resource prioritization, which kept rates high. TL; DR Anyone talking about where rates "should" be based on looking at charts is often talking tripe.

[1] https://economics.rutgers.edu/downloads-hidden-menu/news-and....
Forced reboot after an update is not the same as forced updates. It's not like Windows can update without reboot either.

So far I haven't seen Mac OS force any update on me, not only that but when I accidentally activated automatic updates it showed a notification that stays on screen until you confirm/cancel the setting change.
Just for the record, the article in which thread spun from is about the socialist question. It is asking whether there is a reason to your mentality. That is, is it worth it to regulate economies and set up social services such that people don’t have to live at the whims of free market capitalism.

Unsurprisingly for an alumni of the Chicago school the author believes this is still an open question, however this article is kind of well written and everything up to the conclusion—that is the historical breakdown of this question—seems to indicate that socialism is good actually, and Laissez-faire capitalism is bad.
Up here in Alaska, land can be had very cheap (but construction costs are high), particularly if you don't care to be on the road system.
I mean when the replacement is using PFAS, I don’t see how you’ve actually improved anything. Arguably you’ve made it astronomically worse for a previous problem that was in the noise of any real issue.
It’s a license, not a franchise. You should always be able to see ahead what is required and be able to get one in the end.

This is in contrast to countries or times when the government wished to control the amount of licensees, thus giving monopolies or franchises.

Basically, the fact that everyone gets the license in the end is intended, and progress from older times.
You are fortunate to have that option available. A lot of people don't, if they want to keep their jobs.

I only know a few people who fly willingly.
At least one (Big Clive pulled it apart I think?) had an Ethanol sensor in it.
I signed up, and it’s mostly the rate and the ease to have rewards just deposited right into the account. The daily cash account seemed to always be used to pay off the Apple Card so it’s nice to have something where the money just accumulates.
I have an Apple card. I had a few hundred bucks in Apple Cash I earned from cash back just sitting there doing nothing so I swept it off into Apple Savings so sit there and do nothing but at least earn a little interest on it.

I'd imagine the majority of the new accounts have done this as well. It's a secondary, not primary, banking account.
I was thinking about this as well, but in a more broad sense: Tim was able to execute on his vision so that he get the project going and useful very fast, postponing parts of his original vision (like editing, link and page discoverability ...) for later if necessary.
To be 100% clear, my main AI fear is that these tools are going to be exactly as dumb as people but much, much faster.

We know optimization engines (like social media algorithms) can cause harm by amplifying human speech. And even without algorithmic biases, moderation is expensive. We know disinformation is easy and effective online.

Add in AI tools that can be very convincing, even if they're wrong. AI tools that have been trained on human text to hide biases and build up extremely one sided narratives.

It's not like these things are particularly difficult for human beings to do. And AI might even do it unintentionally, like we've seen with biased models trained on hiring data. But the AI tools are definitely going to do it _faster_.
Not the OP, but Github's stats on https://github.com/wine-mirror/wine say the current Wine codebase is 95.1% C, 0.3% C++
What are your credentials in the field if I may ask?
And yet email users have to care for a server and email is thriving.
Location: Chicago, IL

Remote: Yes

Willing to Relocate: No

Technologies: C++, C, Python, Go, Bash, SQL, Linux, Git, REST APIs (both creating and integrating)

Resume / CV: Available upon request, my LinkedIn is https://www.linkedin.com/in/rob-zumwalt-3900792/

Email: rob DOT zumwalt AT gmail DOT com

I've spent almost 20 years as a quantitative researcher and team leader doing algorithmic trading. My main interests are machine learning, research, and programming. Trading and finance are certainly fun and I'd also love to bring my talents to the broader tech sector. I love diving deep and understanding the underlying dynamics of systems.
Note that this happened more or less concurrently with the LDC (less-developed-country) debt crisis:

https://www.fdic.gov/bank/historical/history/191_210.pdf

While the pre-existing institutional fragilities were different, Fed tightening hit them both hard:

> ... rising dollar ex-change rates in response to the high U.S. interest rates of the early 1980s increased the difficulty of meeting debt commitments.
Indeed. The fact of the matter is that today’s environment for researchers is completely different from what it was like in 1986 when this talk was given, though I mention it not to take anything away from this talk. The days of places like Xerox PARC and Bell Labs where researchers had considerable freedom and autonomy are over and have been for quite some time now. Many industry labs promote business-driven research instead of purely curiosity-driven work and expect their researchers to produce a regular flow of research results that can be productized, lest they be shown the door. Academia these days isn’t exactly a bastion of freedom, either, with its “publish-or-perish” pressures needed to secure tenure and remain in good standing, as well as the need to raise grant money, both of which require pleasing external reviewers. Thus, successful researchers under this environment must find a way to manage the inevitable uncertainties of research while also producing enough output to make their evaluators happy. I find these “productivity” metrics stifling, but if I want to continue as a researcher, it’s either play the game successfully or find another way to make a living.

I’ve been thinking long and hard about this for years. Perhaps researchers who value freedom of inquiry and freedom from “publish-or-perish” pressures could work independently, perhaps being funded by fellowships (like the MacArthur Grant), from part-time work, or from a side business.
If I Understand Correctly
Good defense in depth. Frustrating this requires an OS update & reboot, but I prefer that to weakening the defense model.
We need wealth limits for companies (which should be more like co-ops), proportional to the size of the company, with everything pasta threshold going back into UBI or something. Same for individual wealth accumulation.

People could do more projects/start more companies to earn more, but no one should be accumulating millions by doing almost nothing as is the case now.
It is different. The most powerful of today's machines has a red stop button. But if a machine becomes smarter than us, it could create a copy of itself without such button, so we lose control and will be quickly overpowered.
One major difference between now and then is that now automation is starting to look and behave in a way that can be confused with a human. Most, if not all, comments generated by machines before LLMs could be identified as such, while now it's going to get harder and harder to detect properly.

Quick evaluation: did a human write this comment or did I use GPT-4 to write this comment by just providing what meaning I wanted to convey?

The answer is f3bd3abcb05c3a362362a17f690d73aa7df15eb2acf4eb5bf8a5d39d07bae216 (sha256sum)
Or, if they couldn't find the easy food, they had to go dig for grubs in the trees
This is veering into a different topic, but I'd encourage you to read "The Dawn Of Everything" (2021) & "The Art of Not Being Governed" (2009) for long term examples of non-hierarchal societies.

It may be inevitable that people may rise up to seek power over others, but the question is what is the best way to respond to this? Do we leave them to rule over others without restrictions, or do we limit the damage they can do? Do we reward this impulse of control of the few over the many to their general detriment, or do we treat it as a mental health issue (like sociopathy or hoarding)?
I’ll accept that, but I’m thinking that the editor tried to create a better headline and gave up.

Lack of listening is possible, but the reason for ignoring the massive blood loss in the presence of a highly likely causative factor is not understandable. Incompetence isn’t enough - they must be been considering economic factors, i.e. insurance issues.
When I see a platform that advertises as 'censorship-resistant' as it's top line I just figure it for libertarian bullshit.
They lost about 16% from Feb 8 to Feb 24 but recovered it all by Apr 6. The stock sits around that same level as of May 1.
I'm a member of The Church of Jesus Christ of Latter-day Saints.

It's pretty common, but if you felt at a disadvantage compared to the members, that bishop/boss was not doing his job properly. We're not supposed to favor members, even if only slightly.

Unfortunately, it's natural to do so because there is an implicit assumption that there are shared values.

I don't know how to fix that.
To allow people to jailbreak? /s

Probably to ensure someone can go back if this fix breaks functionality (which it shouldn't do).
As someone had my own fights decades ago, there seems to be difference though - at least in the second half of last century people fought against things and phenomenons, but not against people behind these. This was true even in Soviet Union - as dissidence we fought against system, corruption etc, but never against people directly in a way cancel culture does.
Unless he wanted to say something.
The problem with a centrally planned economy is less one of computational feasibility than that the input data it needs is unavailable. It's weird that no one seems to be mentioning the base case of prices or production levels: consumer preferences. Consumers somewhat famously lie (to themselves and others) about what they want. The truth is revealed in what tradeoffs they make, whether in terms of money, time, mental effort, specific resources, etc. What we're willing to sacrifice.

So the minimum you need for a money-free central economy is to allow/force consumers to make tradeoffs in-kind between the products they want (far enough ahead of time for production pipelines to adjust!), in terms of the entire pipeline of resources each involves. This is, among other things, likely to be a UX disaster. Having a single unit, whether you call it money or not, is so much easier.

Which is maybe just a long way of saying: a central economy is still going to invent money, as a communication aid if nothing else.
Gower Street Analytics | Remote (UK) | 3 or 4 days/week | £70000 - £85000 pro-rated

We're hiring a senior engineer at Gower Street for a 3 or 4 days/week role. We're 100% remote and looking for someone eligible to work in the UK to join us.

Gower Street is the industry leader in predicting the global box office. Our numbers are quoted by mainstream media and our systems are used by the majority of big studios out there. We're also a really small team with a switched-on approach to how we work and stuff like trust and flexibility.

We're hoping to bring somebody in who has an eye for quality in a "zen and the art of motorcycle maintenance" sort of way and is able to go in and deliver new features while improving both existing systems and how we go about our work. You'll be part of a small development and data science team with responsibilities ranging from creating new predictive models and deploying them in production, to making front-end changes to deliver new features to our customers

We're working in Clojure, Python, Go and Javascript using AWS, Terraform, PostgreSQL and Docker. We don't expect the ideal candidate to know all of these. We just expect you to be good at picking up tools and quick and getting up to speed.

Application deadline on May 12th at 10:59 UTC

Apply here: https://app.beapplied.com/apply/lfuijp7om2?utm_source=hacker...
Show HN: AI Chat with Anime Characters
I've been hacking away on Dachi. It has character chat just like character.ai/Replika, but I wanted to better emulate how text messaging and relationship building work in real life - as if you're exchanging texts and getting to know the character as if it were real life.

Also its meant to be more of a cool platonic AI companion rather than the romantic stuff like Replika...

Feature Roadmap:
Character affinity system: similar to to what RPGs (or dating sims) have. This system is essential to emulating how IRL relationship building works. For example, when you first contact an AI, you start out as strangers, then acquaintances, then friends, and so on (yes, eventually romantic if you & AI agree). Just like IRL, the nature of the conversations changes with affinity.

Long-term AI memory: For an affinity system to work, the AI has to remember important details - likes/dislikes, opinions, life events, the AI's own opinions, etc. This is not a small task and this is where most of my time and research is spent (thankfully there's a lot of open source research dating back to the 80s on this!).

Smaller but important quality of life things to mimic the IRL experience, such as the AI spontaneously sending messages, not responding instantly, AI daily life cycles, sharing things of common interest, not being a pushover, real-time reaction to news, etc.

The demo is way, way off from the goal but I wanted to share and get some thoughts!
Who knows if people will get to try it twice. Such a thing might take over the first time and be able to sustain its power indefinitely (until human extinction).

I have a lot of hope though that it won't be tried. "It would just fail" is a bad argument against trying it because it sounds like you get another chance to do something else after.