skysight-inc/HackerNews huggingface dataset:
For that "deep and wide enough" to work out, just how deep and wide would the canal need to be?

Such mingling happens at the Dardanelles - but it's half a mile or so wide, and ~180 feet deep.

https://en.wikipedia.org/wiki/Dardanelles
Speaking as an (assistant) professor in theoretical CS, I see there are many bad approaches in the original post and mentioned in this discussion, but I strongly disagree with:

> There are very simple and effective ways to teach your class that can't be cheated with AI. These professors are simply lazy and uncreative.

I can attest to the following problems to good homework creation, from my own experiences playing with ChatGPT and teaching:

1. If you want to give a very illustrative yet easy theoretical exercise in algorithm design, one that computer scientists have solved over and over in the last few decades and which furthers your understanding, there are very likely solutions online and ChatGPT will give you the solution with very high probability.

2. If you create your own dataset and want the students to implement some algorithm and create a simple plot/discussion from the results, it will be very hard to distinguish a "student solved it on their own, but they did not invest too much time into it" submissions from ChatGPT submissions produced by a couple of queries.

3. Switching to oral presentations is hard to scale (as others attest) and also does not resolve much, because some students are perfectly okay with being handed a solution from somewhere (colleague, ChatGPT), not understanding it very well, and yet presenting it. Failing these students likely leads to overly difficult classes.

4. In-classroom exams without a computer work best, but they also do not scale very well (a lot of prep/correction needs to go into them) and some students with bad anxiety management skills, which includes me as a former student, dislike them passionately.

---

As you can see, this topic is quite critical for my profession. The ugly truth is that university professors have only a very limited time allocated in their busy workweeks for teaching, and hence they have to take many shortcuts, including suboptimal homework sheets and limited innovation year-over-year. I also do not allocate as much time for philosophy of teaching/improving teaching skills as I would have liked.

If anyone here has novel ideas how to actually implement "a class that can't be cheated with AI", specifically university CS classes, I am all ears.
Yes, cosine distance works best in convex or normalized sets. Thinking about adding this caveat. Thanks for the question.
That might cover one or two 5nm fabs - at least according to figures provided in this McKinsey report: https://www.mckinsey.com/industries/industrials-and-electron...
I also recommend storing your specialty ice in a brown paper bag. It'll keep for a surprisingly long while without sticking to each other!

I have a premade directional ice kit and make 10 ice cubes per night and then throw them into the paper bags. We never run out of ice for weekend gatherings with this trick.
You'd think that, but you'd be wrong.

Microsoft voice assistant was equally dumb as Siri, but ChatGPT is another thing entirely. Wont even be the same team at all, is most likely.

So nothing about their prior ability, or lack thereof, to make Siri smart means anything about their ability to execute if they add a large LLM in there.
"important" does not mean "good." if you are in the field of AI, AI regulation is absolutely important, whether good or bad.
The real world where someone in power claims everyone they are responsible for educating is cheating in the 11th hour, provides no evidence and refuses to pass them even though they paid thousands of dollars?
What does licensing achieve? Will there be requirements if you build AI outside of US? If so, how do you regulate it? They can’t realistically think this will stop ai research in other countries like China. All of this is a very I’ll thought through corporate attempt to build moats that will inevitably backfire.
...and that also locked to a certain auth profiles in Canada.
Whenever you're confused about a vague term, just think - does my usage cost the service provider more than they earn from me? That will be your answer.

It's not really about the specifics of what the bytes represent, it's whether the transportation and processing of those bytes makes Cloudflare money. Either now, or a likelyhood of future earnings.
That’s right. Raft uses sync writes which is what redpanda uses.

Complexity and industrial level reference impls are crucial
It'll be a temporary 10-year moat at best. Eventually consumer-grade hardware will be exaflop-scale.
I'm in my mid 40s, and I can see myself using these because I can no longer read things clearly without reading glasses, including restaurant menus.

And yay to the super tacky looking deep drop shadows and rounded corners. Hate them all you want, but they're good for affordance.
"Improve spelling, precision, organization and expression in the following letter from a Texas professor to his students: [...]"
It's not even a matter of adaptation in some cases. Written tests have been around for a long time, even during the era of word processors and computers. Whether instructors wanted to use has been a matter of pedagogy.

Some of my philosophy exams 20+ years ago were written tests. You were given about twice as much time as you needed to write your arguments, which was fair to the slowest students. My CS courses for C programming were all written tests. You were expected to know the basic control structures and the standard libraries well enough to do this.

To be fair, this was before Blackboard and other learning management systems, but there's no reason we can't go back to this system across the board.
Also that he knows how inefficient and dumb government is. By the time the regulations are in place they won't matter one iota.
Sometimes the folks you call retards actually work in trading software with big institutional banking clients.
App idea to no product market fit in 3 months
Give the power to control life-changing technology to some of the most evil, mendacious elites to ever live? No thanks.
> Why isn't the answer to build more?

Where? And how do these extra people move about?

It's definitely doable, but it's far from simple, and is going to further change the character of the city. And involve a lot of public spending which people object to.
Ransomware perps place no value on human life or common decency. They’ll shut down hospitals for a fee, divert the energies of a nation, and wreak havoc—all for a buck.

80% of those who choose to PAY the ransom are usually targeted a second time, and 40% end up laying off staff.

Luckily, more and more victims are refusing to pay—two-thirds, by some estimates.

Find out about the latest trends in ransomware: who’s paying whom, and why.
Why does the expectation of not cheating matter when the claim that they cheated is itself in doubt? As far as we know, the students are being punished for the teacher's incompetence, not the consequences of their cheating.
New understanding of “wavy wounds” may make for faster post-op healing
Cal.com cut cold load times by breaking down tRPC routers
Hi HN,

So, Hushl is all about helping people create content on social media platforms like LinkedIn with ease. The need for a solution like this arises because a lot of people want to share their story, experiences, learnings with other people in public but don't have the time or the technique to do so convincingly and without feeling intimidated. Hushl provides enough handholding to help a person create content easily.

Some of the features/services that have in the current version of the product include:-

- LinkedIn AI writer

- Twitter AI writer

- Instant generation tool(s)

- Scheduler

- Community tools to get feedback

- LinkedIn Analytics using chrome extension

- Whatsapp integration to store ideas quickly and create content later

- Inspirational articles curated everyday from over 70 sources

Apart from the technical integration challenges there were other challenges related to design. We wanted the design of the platform to be fairly intuitive and simpler to use compared to other AI apps out there. More than 100 days have gone into getting the base design of the product correctly, with over 1000 man hours spent to bring it to life.

With a design driven approach and supported by leading tech, I can proudly say that Hushl is the best alternative out there for text based content creation apps.

As CTO of Hushl, this has been one of the toughest (but fun) projects that I have worked on. There is a huge amount of learning curve that was associated with creation of Hushl. From full stack developer, to designer, to a data engineer, it required me to wear a lot of different hats and deliver. In the end, it just feels awesome that you are part of the forefront in building something futuristic and great.

We also launched on Product Hunt today. You can support us here: https://producthunt.com/posts/hushl

Thanks again @rudi_mk for giving us a shoutout!
It depends on what you buy. My 1996 Toyota is at 125k and I drive it super hard. I've charged the AC once and replaced the fuel pump twice.

My son daily drives a 1963 Dart. My friend drives a 2018 Kia. My friend spent $700 on a replacement door control panel. My son spent $30 on a replacement head (swapped in 3 hours).
Yeah, automotive brake cleaner comes to mind.

Proven to cause neurological damage, horrifically acutely toxic and chronically toxic, causes colorblindness of all things...

Oh yeah, when it thermally decomposes into phosgene, a WWI-era chemical weapon. Spray brake cleaner on hot brakes and you're pretty much instantly dead.
`they are also much simpler to implement ...'

According to the papers metnioned by others, the algos under discussion do not seem to support this point. The author of the project mentiones that the FORTRAN 77 implementation is `nontrivial to understand', which motivates this work.

`Caveat: derivative free optimizers are terrible for constrained optimization however (especially if your constraints are anything but simple bounds). You can use barrier methods but still they’re not great.'

Lincoa and cobyla in the package can handle problems with nontrivial constriants according to the documentation of the git repository, though I do not know how well they work.
Frankly, most essays in MBA or almost any social science school can be outsourced to AI with a small context window so teachers need to get more creative; either force people to read more papers (larger context window) or make certain checkpoints throughout the assignment that need to continue context from previous portions in some specific ways.
> are there now enough safeguards in place that we're unlikely to be repeating the same mistakes?

I doubt it. One obvious example is plasticizers: there was a big ruckus about BPA a few years ago, so manufacturers phased it out and switched to different plasticizers, many of which are incredibly chemically similar to BPA. It's seems very plausible that they have similar negative health effects, but there's no regulation (or even disclosure, in most cases) of which plasticizers are being used.

https://www.science.org/content/article/bpa-substitutes-may-...
> The ability to 'cheat' on written assignments has always been a possibility.

Right, and you have also always gotten a big fat F when you cheat.
that's the JSON5 support
Seriously, though.

Q to ChatGPT: ‘Was this text generated by ChatGPT? "The ability to 'cheat' on written assignments has always been a possibility. With the rise of the Internet, it became easier to source it from more places - with a counter balancing rise of plagiarism detectors. Now with Google, Grammarly and ChatGPT, it is trivial to copy/paste a pipeline with enough entropy to defeat many if not most detectors. I suspect the next generation of tools will be finish this cycle - we won't be able to build an arbitrary text distinguisher that works with acceptable accuracy."’

ChatGPT's answer: ‘Yes, the text you provided appears to have been generated by ChatGPT or a similar language model.’

Screenshot: https://imgur.com/jifRNE2
I've come to the same conclusion. AGI(and each separately) is better understood as a epistemological problem in the domain of social ontology rather than a category bestowable by AI/ML practitioners.

The reality is that our labeling of something as artificial, general, or intelligent is better understood as a social fact than a scientific fact - even if purely the role of operationalization of each of these is a free parameter in their respective groundings which makes it near useless when taking them as "scientifically" measurably qualities. Any scientist who assumes an operationalization without admitting such isn't doing science - they may as well be astrology at that point.
I’m sympathetic to this view, but if we’re talking about using push polls it’s not a matter of letting polling dictate what they do. The polling is instead of a method of legitimation for their desired policy.
The next assignment will be run through ChatGPT as well, with presumably the same results - resulting in failure and escalation to the academic dishonesty office.
Filtering them out is indeed trivial, but then they're not stable / preserved, and so why bother writing them?

Ensuring that comments and their locations in the text are preserved by processors is quite difficult if not impossible. Reformatting a JSON text alone can "break" comments by not necessarily placing them where they belong. Any schema transformation means comments must be dropped.
Don't worry, you're not a senator.

And, if there's one thing politicians are know for it's got to be ad hominem.
You can also ask that question about the other side. I suppose we need to look closely at the arguments. I think we’re in a situation where we as a species don’t know the answer to this question. We go on the internet looking for an answer but some questions don’t yet have a definitive answer. So all we can do is follow the debate.
First generation Leaf I guess. Without battery thermal management. I know a guy who has it. The car is good enough for daily commuting in the city.
>"good lord Spivak that was fucked up" and try to use the front brain to correct it

I don’t think so. Your words, not mine, textbook repression of thoughts.
> You might as well ask what native numeric or boolean support offer over just jamming stuff in a string in an agreed format.

A big difference is that a numeric or a boolean are quite limited datatypes with agreed upon semantics (mostly).

> Others will point out that JS doesn't have a native date/datetime/time type

It does, in fact. And it's absolute shit.

> but JSON is used for a lot more that persisting JS structures at this point.

So what I'm reading here is that you don't need types to be supported natively in order to serialize to JSON.
Once again, no, not just individuals in their homes
So... You trained the model with all the text you could find.

And we trained all those students on all the same text...

And then we run a comparison to identify if they used the same source material...

Aaaand everyone's cheating.
Load Unity package inside Godot
Absolutely. I actually prefer a combination of declarative + imperative code similar to how it is in Delphi/Lazarus.

The overall layout of the GUI is designed using a GUI designer and this gets saved as a "form" in a resource file which is loaded at run time and so the actual code does not have a lot of declaration of the GUI but it is read in as a stream from a separate resource file.

However, to this GUI, you can add event handlers, add or remove components at run time etc. All of this is quite clumsily done (IMHO) in frameworks such as flutter.
And yet the parent makes a very specific (and correct) comment, that this wont be Siri with some upgrades, but Siri in the name only, with a totally different architecture.

Whereas yours and your sibling comment are just irrelevant meta-comments.
Ableton and modern music software are wonderful tools.

If we have lost anything, it is due to Spotify and other corporations whittling away musicians opportunities to make money off of their work.

Tools definitely guide the music, however. Pick up a drum machine, and it is funny how quickly you start to write trap / jungle beats.
This article was a response to: https://blog.plover.com/notes/alien-poker.html

>> Will we ever hear about why the aliens might already know how to play Go?

Which I found a bit more interesting (as an avid board game player).

>> “There is a mathematics game,” said the alien.… “The game involves a screee—" Some word that the autopilot couldn't translate. The alien raised a three-clawed hand, holding a lens-shaped object. The alien's mutually opposed fingers turned it so that Louis could see the different markings on each side. "This is a screee. You and I will throw it upward six times each. I will choose one of the symbols, you will choose the other. If my symbol falls looking upward more often than yours, the artifact is mine. The risks are even."

>> "Agreed," said Louis. He was a bit disappointed in the simplicity of the game.
Virtually any sequence is not the same as adopting a specification five years after it’s been published and adopted by industry: https://spec.json5.org/

I appreciate that SQLite can’t write the format, because those changes are human afordances
Distributed systems are everywhere in big tech. So that's not really the issue.

A lot of it is unfamiliarity with the tool and unfamiliarity with the paradigm. And of course, you can do distributed systems with other tools that people tend to be more familiar with, so go with what you know. Erlang is adaptable, but was built for a Telcom setting with a lot more permanence than today's popular cloud model with nodes coming and going.

On the other hand, an awful lot of large scale chat systems start as ejabberd and adjust from there; sometimes rewritten in another language, sometimes rebuilt in company specific Erlang while the service is running, sometimes without muvh adjustment.
Worst case the payments pause for a period, and resume shortly after. But the government will prioritize debt payment over operational expenses, because the consequences of not paying the debt are much higher than furloughing employees. e.g. financial crisis and market crash

Not really a meaningful impact from a long term return perspective. It is possible that treasuries sell off in the short run... though so will everything else
What happens if ChatGPT misflags an essay I generated using self-hosted Vicuna-LLaMa as generated by ChatGPT? Will I get my money back? And from whom?
> This would reduce global warming

No, water albedo is lower than Sahara desert, so it would capture more of the Sun's energy, and warm the planet.
Another underserved group of users is people with ADHD. I think a "minimize distractions" mode at the OS level would be very welcome by a lot of people.
There is no silver bullet.

but also

Choose the right tool for the job.

Plenty of people build highly tolerant, robust distributed system of top of regular languages when Erlang exists, and no one bats an eye. Erlang is no magic sauce, but for its niche it is unrivalled and yet routinely ignored in favour of subpar platforms because of dubious concerns such as "there are no Erlang/Elixir developers around", which is nonsense.

The true reason is that there are plenty of engineers and architects that have no exposure to the BEAM, so have no idea how productive they could be developing their distributed system on it. They simply do not know what Erlang & co. could do for them.
Sorry, I should've specified that I was specifically talking about potential economic incentives for China. I am aware to a lesser degree that they wanted the land for alternate reasons.
Downvote the witch!
I'm noticing an extremely strong trend of this. It's surprisingly common to see people on twitter use a ChatGPT screenshot as a "source" for statistics or facts that aren't correct.
Have you looked at tools such as Delphi, Lazarus etc and the approach used to build GUI components which can be added at build time or at runtime?

If you are interested in talking about this, do let me know.
Well I don't think it really matters what most readers think of it because I was writing it hoping that it would be read by congressional staffers, who I think will know what ilk means.
MPT-7B StoryWriter: An LLM with 65K context that generates fictional stories
What did you dislike about it?
‘Design me a chair made from petals ’ The artists pushing the boundaries of AI
I fail to see how this is relevant. Your code feeds JSON to SQL, that remains supported. Or your code fetches SQL-generated value from SQL, in which case as literally stated before the JSON5 listing:

> JSON text generated by [JSON] routines will always be strictly conforming to the canonical definition of JSON.
"AGI" is an incredibly loose term that nobody can agree on the definition of.
Many small cities we visit have apartments (Airbnb's) near the city center where it's walkable whereas hotels/motels are often in less walkable parts of the city. For me that makes for a more "local" experience.
I think the closer you hew to the original Ericsson use, the more certain you are that it's going to be a great fit.

We used it as the command and control language for these: https://www.icare-world.com/us/product/icare-eidon/

* Semi-embedded system that's used as an appliance, not a computer.

* Runs in an environment where people mostly don't want to mess with it. Might be days between reboots; might get turned off every night.

* Has to be pretty deterministic in terms of memory usage, response times, and so on.

* Recovers from something going wrong by going to a known-good state.

We didn't actually use any of the distributed aspects of it, but it worked out great for the other stuff.
Agreed.

The biggest point that seemed missing to me: the author talked so much about increased evaporation, but isn't water vapor one of the worst greenhouse gases? Sure you mitigate sea level rise, but at the cost of increasing temperatures? That doesn't seem like a great tradeoff.
Where in the US are people driving a new car home after paying 15k-20k? I'm hearing 60k-80k from buyers and these folks are far from well off.
That was great, thanks for sharing! I'll have to file that away on my Notion page for the quote so I can watch it again.
Interesting how none of these imagined scenarios involve China not attacking Taiwan. Like, for example, Xi dies slightly earlier than expected and the next, younger, head of state doesn't have the "Oh god I need to cement my 'legacy' before I turn 90 years old" problem and can indefinitely kick the Taiwan can down the road.
LFortran sounds to be a genenius project. The interactivity is a critical block that is missing from FORTRAN ecosystem. Hope things will get better with LFortran!
Does this seem right?

| Task | Distance Measure |

|-------------------------------|-----------------------|

| Document classification | Cosine Distance |

| Semantic search | Cosine Distance |

| Recommendation systems | Cosine Distance |

| Image recognition | Euclidean Distance (L2)|

| Speech recognition | Euclidean Distance (L2)|

| Handwriting analysis | Euclidean Distance (L2)|

| Recommendation systems | Inner Product (Dot
Product)|

| Collaborative filtering | Inner Product (Dot
Product)|

| Matrix factorization | Inner Product (Dot
Product)|

| Image processing | L2-Squared Distance |

| Error detection and correction| Hamming Distance |

| DNA sequence comparison | Hamming Distance |

| Taxicab geometry | Manhattan Distance |

| Chessboard distance | Manhattan Distance |
Agree. To be clear I don't have an opinion about Apple (not having done any research) but it's very unlikely at the current level it would be the sort of thing I would want to go into.