skysight-inc/HackerNews huggingface dataset:
Indeed. I think an MBA might make analogy to the time value of money concept; the time value of time would state that I'd prefer to have a free hour not working on this project now, than to have the same free hour at a later date.

In the same way a company isn't going to pay out a million dollar financial obligation early, you wouldn't expect a person to perform a 10 hour work obligation early.

And it's relatively easy to think of rational reasons to attach a discount factor to free time later. Certainly on a long enough time horizon future free time is very likely to have no marginal value at all :)
Closed source and no Linux support.
Party trick for 40 somethings.
If you are interested in how this all worked there is a book called 'Destructive Creation'. Here is an interview with the author:

https://m.youtube.com/watch?v=gdbjVMxdnpQ
>and being cut off from seeing how half our Basecamp customer base saw by default (since they're on Windows!). Either way, it's over. Apple is no longer the exclusive default at 37signals. Going forward, we're working to make Linux the default for developers and system operators (and welcoming Windows back in the mix for accounting/marketing).

They mentioned Window in the first part and then later it is still not being dog fooded in any of the developers machine.
"that fast food is out of control in this country and needs to be regulated."

Eh, I would rather see change in the area of education and alternatives than just food type/portion/etc regulation. The education can apply to multiple foods and not just the pariah of the day. Ingredient studies and approvals/disapproval would be an area of regulation that I would support though.
That might be for some crops, but some like wheat are planted too close together to drive anything between them without knocking some down.
That’s an overly simplistic assertion. It depends on the crop, how it is planted, and maturity.

There is a soy bean pest that can invade crops on my family’s farm. If treatment is needed early, the cost effective solution is to drive a spray rig. Later in the season, that causes too much crop damage. So then it becomes a calculation of the loss due to pest versus cost of arial application.

In the end, it all comes down to cost per acre and the benefit needs to exceed that.
A Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions
Crush becomes a problem for us in Canola and Lentils during desiccation; which is a chemical application at the end of the season right before havest. As the name implies, desiccation takes a crop which might have variations in "greenness"/maturity and kills it all down to a consistent state for harvest.

At this point in the crops life, the canopy is quite filled out, and a large portion of it is already dry. By driving through the feild at this time you knock the seed from the pod onto the ground, where it is impossible to harvest. Thus it is better to do desiccation from the air.
It’s impressive how incorrect so much of this information is. High frequency trading is about going fast. There is a huge mid and low freq quant industry. Also most quant strategies are absolutely not about being “super right”…that would be the province of concentrated discretionary strategies. Quant is almost always about being slightly more right than wrong but at large scale.

What algos are you referring to derived 30 or 40 years ago? Do you understand the decay for a typical strategy? None of this makes any sense.
I spoke with some aerial applicators a few years back that I used to work with when I was in the fertilizer business. Asked them if they were worried about drones possibly taking part of their business and they just laughed. They told me the payload on the drones would never make them serious competition.

Then a couple of years later they admitted they'd lost some of their business to drones but they weren't worried it would ever be all that much. I told them that there was one way to make sure it never would hurt them and that was to get into drone spraying themselves.

A large majority of farmers will want someone else to do it for them. I said you know the customer, you know their fields and are well versed with the chemicals. They said I don't know, but you could see they were thinking hard. These guys were second generation aerial applicators and if their kids wanted to enter the business they sure needed to consider it. One of them has a son in college who is already a pilot.
I guess this makes sense. Because while there should be some noise from the text translation into the internal representation of the financial data once ingested into the model, the authors purposefully re-formatted all the reports to be formatted consistently. That then should allow the model to essentially do less of the LLM magic and more plain linear regression of the financial stats. And often past performance does have an impact on future performance, up to a point.

I wonder what the results would have been with still-anonymized but non-fully standardized statements.

Still though, impressive.
> Where does low-credibility end, and misinformation begin?

Nowhere. The two are orthogonal.

The cost of ignoring this is amply demonstrated by two examples in latest news, originating in opposite corners of the square. PO Horizon scandal and Google "AI" search overview.
Hmm.. Is there something similar for just the firewall?

I am using simple wall, but with that Windows complains about a disabled firewall. Registering simple wall as a firewall with windows would be nice.
I maintain mine. It's the only way to get guaranteed gapless playback in the modern era.
> That is, the bet is that at some point, magic emerges from the machine that renders all domain-specialist tooling irrelevant, and one or two general AI companies

I have a slightly more cynical take: Those LLMs are not actually general models, but niche specialists on correlated text-fragments.

This means human exuberance is riding on the (questionable) idea that a really good text-correlation specialist can effectively impersonate a general AI.

Even worse: Some people assume an exceptional text-specialist model will effectively meta-impersonate a generalist model impersonating a different kind of specialist!
(Redirects to another Mastodon domain where the post is just "Recall is bad because malware could steal the data it recorded.")
Note that AGP was initially basically just PCI 2.1, with the bus conflict resolution system ripped out, the connector flipped around and a few minimal tweaks. It could, in principle have been used for something other than a video card.

The crucial part about it was that it was a dedicated link to one device. AGP was initially created not because PCI bandwidth was running out, but because PCI is a shared bus, and the kind of transfers video adapters liked to do played havoc with the system that negotiated who had right of way, resulting in all kinds of problems when other cards had to wait for their turn for much longer than their driver developers expected.

The fact that it only ever connected one device to the host made it much easier to evolve, as future cards and hosts could just negotiate to do something different than what AGP 1.0 defined, if they found they both supported a faster version. When bandwidth demand rapidly rose with ever faster 3d accelerators, this was very beneficial.
> Do I understand this? A purely reductionist view of my understanding: this is quantified as "the amount of will to live"? If my understanding is proper, how do you measure this without killing people? I grok that it is an extreme example, I am attempting to glean applicability of such an experiment to humans.

I mean in this is one model and typically a "result" means several models are all consistent with the researcher's mental model of the thing. But yes, the forced swim test is one measure of "will to live" and it's treated as that because of similarities to "that which we call 'depression'" or whatever

It is better than nothing, unless one takes it too seriously.

[0] mice float, they don't drown when they give up, assuming you take them out quickly enough
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401172/
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353513/
Leveraging thermodynamics to more efficiently compute second-order updates is certainly cool and worth exploring, however specifically in the context of deep learning I remain skeptical of its usefulness.

We already have very efficient second-order methods running on classical hardware [1] but they are basically not being used at all in practice, as they are outperformed by ADAM and other 1st-order methods. This is because optimizing highly nonlinear loss functions, such as the ones in deep learning models, only really works with very low learning rates, regardless of whether a 1st or a 2nd order method is used. So, comparatively speaking, a 2nd order method might give you a slightly better parameter update per step but at a more-than-slightly-higher cost, so most of the time it's simply not worth doing.

[1] https://andrew.gibiansky.com/blog/machine-learning/hessian-f...
AI Adds More Arms to Our Future
I use UTM without any issue (running Windows 11)... but for what it's worth VMware announced both Workstation and Fusion are now free for Personal Use:

https://blogs.vmware.com/workstation/2024/05/vmware-workstat...

You can also buy a Commercial subscription for $120/year
Ozempic Slows Kidney Disease, Novo Nordisk Study Finds
> "You will not be punished for your anger, you will be punished by your anger."

another take is that in competitive and adversarial society, anger is natural response to outside hostile action, and the goal is to use it as a source of focus to push back on hostility, but in calculated and cold blooded way. Anger releases lots of hormones which could be very useful in difficult situation if one can control himself.
In general, yeah, our portions are too large and we don't eat healthily enough!

but an extra-large is the same size a super sized item

I don't think McDonalds has "extra-large" anything? The sizes for drinks and fries in their app are S/M/L. It is also perhaps worth noting that both of those items default to "M" for me.

I'm in NE USA.
Many vogue tech decisions are over-engineered band-aids for organizational dysfunction.
To everyone thinking they can sell a LLM wrapper based on this - this is a very tough domain. You will soon run into data, distribution, and low demand. Funds that would actually use this are already using it.
Nikon Z series with Snapbridge are as good as you get on that front. They peer with WiFi or Bluetooth. You can actually remote control and view the camera with your iPad if you want!
Spotify does this thing for me where, no matter what you do, after an hour or so of listening you find yourself hearing the same 50 or so songs, over and over and over until you go mad. I still pay for it, and use it a bit, but playing my own collection is so much nicer.
Mine was only six digits, and it was easy to remember since the first three were "333". I Can still sign in, but my contact list is empty and I have nobody to chat with.
The new GPT4o model is free. Plus users will get better rate limits and the voice feature, but everyone has access to the best model right now.
i’m vegan as well and would be interested in that, but i don’t have the money. would love to follow the process though if you have ever make a social media page for the cafe or something!
Shutting Down Tech Interview Exp
What is the measurable benefit to implementing 128b SVE2? Like, ARM has CPUs that implement that, and it's not even disabled on some chips. So there must be benchmarks somewhere showing how worthwhile it is.

And implementing 256b SVE has different issues depending on how you do it. 4x256b vector ALUs are more power hungry than generally useful. 2x256b is only beneficial over 4x128b if you're limited by decode width, which isn't an issue now that A32/T32 support has been dropped. 3x256b would probably imply 3x128b which would regress existing NEON code. And little cores don't really want to double the transistors spent on vector code, but you can't have a different vector length than the big cores...
Ask HN: Would you pay for premium support from big tech?
What would be your expectations for this service and how much would you be willing to pay? I'm genuinely curious, as I'm not sure that people would actually pay for this, especially for many of big tech's products that are B2C and "free" to use.
Number Guessing Game in Rust
How to NOT give someone mental illness
After you die, your Steam games will be stuck in legal limbo
This is the big question. If they (or any company) can squeeze out sub-10ms latency for touch/pen interactions on an e-ink-like screen (like the Daylight), that will be a game-changer.
Satya >> Sundar
*AEZ Quadratic Grant Kicks Off Round 2 with Million-Dollar Funding from Cosmos Prop#917 and AADAO*

The AEZ Quadratic Grant, a pioneering initiative for funding public goods within the ATOM Economic Zone, has launched its second round on DoraHacks.io. This round is backed by an impressive 8,000 ATOM + $20,000 matching prize pool, generously provided by Cosmos Hub and ATOM Accelerator (AADAO) from Cosmos Prop#917. Grant applications are open from May 16 to July 3, offering a prime opportunity for innovative projects.

Following the approval of Cosmos Proposal #917, a significant 80,000 ATOM has been allocated to support 10 successive rounds of quadratic funding grants. This proposal saw overwhelming support, with over 99% of the voting Cosmos validators endorsing it. Additionally, AADAO has committed an extra $200,000 to the prize pool, distributing $20,000 per round to bolster public good projects.

Over the next 24 months, this million-dollar funding initiative will provide essential support to early-stage public good projects and open-source ventures within the ATOM Economic Zone. This funding is crucial for emerging builders, offering them a platform and resources to innovate and contribute to the Cosmos ecosystem.

Public goods funding remains a priority for the Cosmos Hub’s stakeholders. Proposal #917, one of the most supported to date, requested 80,000 ATOM for a quadratic grant prize pool to support public goods and new teams within the ATOM Economic Zone. Despite market fluctuations, this strategic funding ensures the ecosystem’s resilience and strength.

In Round 1 of the AEZ Quadratic Grant, 8 public goods projects received funding and will continue to be supported until they either stop developing or secure major funding. Round 2, open until July 3rd, invites more projects to apply for funding. The program welcomes all types of AEZ public goods and open-source ventures, with no limit on project categories.

Quadratic funding, an innovative on-chain funding distribution mechanism, prevents the dominance of whale voters by decreasing the power of each vote from a single contributor. This ensures a fairer distribution of funds.

As pioneers of quadratic funding, Dora Factory and DoraHacks have supported on-chain quadratic funding across various blockchains, including the Cosmos eco zone. The AEZ Quadratic Grant exemplifies how even small contributions can significantly impact the Cosmos ecosystem’s future.

For more details, visit the AEZ Quadratic Grant homepage and read the Quadratic Funding and Voting Guide.
GM Hopes a Clutch Pedal Is Enough to Make Enthusiasts Buy EVs
I agree with all of that, and that's an elaboration what the parent post said, but I still stand by my statement: the camera vendor apps are shitty because of that too, but they are also shitty because they are badly designed and coded.
No I wouldn’t pay for it.
Looking Glass debuts 16-inch OLED and 32-inch 'holographic' spatial displays
>one convo with an expert is with his sexual partner, describing how the “saturated fats have gotten to his penis” and how she “always has to be on top now” due to his diet.

Huh. The teacher either fast forwarded through that "interview", or the school version was strategically condensed.

Alas, if only it was that easy. Forget fast food, McDonald's would be a trillion dollar industry for men everywhere.

>If you look carefully when he lays out his food in front of you, you'll see both a full-calorie soda AND a shake or ice cream at each meal, in addition to the super-size fries and the sandwich.

That may sound unrealistic, but that's not outside the realm of how some people eat. Maybe not all each meal, but throughout a day of eating. 5000 can make sense for a month to attempt to "prototype" the difference, because 3000 a day for years will show the results are much worse than any short experiment.
Congrats on catching up to Perl! Maybe it took so long because Bill was on vacation on Epstein island.
3330*

I'm going to miss it, even if it's not been used in decades.
Isn’t there some study which showed that the maximum length number someone can easily remember is around 7 digits? It’s quite strange tho I remember it too, 3243845
As well as treating mental hospitals as potentially permanent prisons even if the crime itself has a finite sentence. In a world with no bad actors it might make sense but it only takes one bad psychiatrist (or psychiatric facility) to punish a perfectly sane individual indefinitely (or drive them to actual insanity after prolonged confinement and unnecessary psychiatric treatment)
POV: Tom Waits is the reason unwashed dogs smell like Fritos. He won that concession in this lawsuit. If it were not for the generosity of Tom Waits, unwashed dogs might easily smell like worse things.
That's why the word reentrant is used, not thread safe.
Behold: the distributed monolith.
> It causes our body to generate a bunch of endocrine changes to “supercharge,”
> So if I’m angry, I do my best to put it aside (easier said, than done, most times), and avoid making important decisions, while I’m fuming.

strategy could be to make decisions and plans at time of emotional stability, and use times of anger for actions with full focus and resolve.
Yeah, I do still enjoy them. I have been having to play through a few of them again recently in order to test my own AGI interpreter (https://agi.sierra.games). For example, I've recently been playing King's Quest IV on my phone using AGILE.

I bought Ken's book a while back. As Ken has mentioned in reference to that book, his memories of things aren't as clear as they used to be. It's a long time ago. Still a great read though. I enjoyed it.

I have also read "The Sierra Adventure" by Shawn Mills. That's another great book, in fact it has some quotes from various people that I hadn't seen anywhere else. I loved some of the inside story from Doug MacNeill in regards to the original King's Quest project.

I've actually been working on my own book in relation to Sierra, AGI, the AGI games, the tools, the fan-made games... all things AGI I guess. Its probably still a few years away from release though. I keep getting distracted by things like writing the web based AGI interpreter.
Guys what is wrong with ACATS
The agent currently executed the generated SQL (limited to 10 rows) and recovers from errors.
Russia Is Increasingly Blocking Ukraine's Starlink Service
58843787 Managed to remember it along with my password from 20+ years ago and it allowed me to login! Really amazing actually it's been around this long.
Well, you're never going to convince modern culture. Something something moderate.
There's another approach - Deep Bump.[1] Addresses the same problem, but in a totally different way.

Deep Bump is a machine-learning tool which takes texture images and creates plausible normal maps from them. It's really good at stone and brick textures like the ones this voxel displacement renderer is using. It's OK at clothing textures - it seems to be able to recognize creases, pockets, and collars, and gives them normals that indicate depth. It's sort of OK on bark textures, and not very good on plants. This probably reflects the training set.

So if you're upgrading games of the Doom/Wolfenstein genre, there's a good open source tool available.

[1] https://github.com/HugoTini/DeepBump
NathanBuilds on YouTube has a little robot which does the same thing with a large magnifying glass. A concept I am very eager to demo on an industrial scale.
The agent is LLM agnostic and you can use it with OpenAI or self-hosted LLMs. For self hosted LLM we have benchmarked performance with Mixtral for tool selection and CodeLlama for code generation.
With language like that, there's no way to not see this as a hit piece.
I remember reading that Apple’s podcast platform doesn’t bring in much revenue, but they continue to maintain and improve it because of the valuable UX it gives its customers. I wonder if Apple News is the same?

In Google’s defense, most companies besides Apple don’t care about UX if it doesn’t directly affect quarterly revenues.
Agreed. I don't get from the explanation how March is 3 and May is 1, as they are both 31 days and neither begins nor end with a vowel. I assumed there was some missing text about what to do if the month doesn't begin or end with a vowel.
I can empathize with this. If not for my decent salary by European standards, I’m not sure I would prioritize paying for search when there are free options available.

It would be nice if more services used purchasing parity based pricing so more people could benefit.
It's what I called him at a previous job.
All of that in practice won't really matter. Neither practically possible supplies of people nor weapons won't help Russian leadership.
I'm pretty sure that is mentioned in this interview:

https://www.youtube.com/watch?v=wqI7MrtxPnk

By the way the CHM oral history video series is full of gems.
easier to use for power users or for beginners?
Modulith is the underrated happy middle ground imo.
Great. Humans no longer need to cook the books and can claim plausible deniability. The only problem is the hallucination errors could go against you as well as for you.
I love shifting but what got me to switch away was the realization that self driving was the future. Having a clutch on an EV allows me to relive my youth I guess but without being able to listen to the whine of the engine and watch the tachometer it really wouldn't be the same. I even have to wonder if this one will ever even see production.
That's weird that they would have a rifle shortage as the US manufactured millions of rifles for the UK (P14) and Russia (Winchester 1895 and Mosin-Nagant) and France (Berthier) during WWI.
Perl's UI still has some work to do if we're making incomprehensible comparisons.
"I really don't get a sense that this "rapid iteration" approach is a good replacement for better engineering and more care."

A huge rocket torn to pieces looks expensive, but given the way SpaceX builds them, may well be cheaper than personal costs of extra engineers over several months.

Also, basically you want perfection. Perfection is unattainable, especially in a prototype of a brand new system. If Starship flew perfectly on its first or second or third launch, I would be nervous that something really big and random lurks in the background.

Looking at Falcon 9, the iterative approach was a great success. As of now, Falcon 9s are crazy reliable.
Quantitative trading is simply the act of trading on data, fast or slowly, but I'll grant you for the more sophisticated audience there is a nuance between "HFT" and "Quant" trading.

To be "super right" you just have to make money over a timeline, you set, according to your own models. If I choose a 5 year timeline for a portfolio, I just have to show my portfolio outperforming "your preferred index here" over that timeline - simple (kind of, I ignore other metrics than "make me money" here).

Depending on what your trading will depend on which algo's you will use, the way to calculate the price of an Option/Derivative hasn't changed in my understanding for 20/30 years - how fast you can calculate, forecast, and trade on that information has.

My statement wont hold true in a conversation with an "investing legend", but to the audiance who asks "do you use llama3" its clearly an appropriate response.