djoldman

11,147 karmajoined hace 14 años

1729

Submissions

John Deere owners will get the right to repair equipment under FTC settlement

1,383 pointsby djoldmanhace 3 días302 comments

Farmer, marketer at odds over sales of white nectarines

135 pointsby djoldmanhace 8 días137 comments

Profiling.sampling – Statistical Profiler

docs.python.org

89 pointsby djoldmanhace 2 meses23 comments

No one can force me to have a secure website [pdf]

1 pointsby djoldmanhace 3 meses0 comments

When Should AI Step Aside?: Teaching Agents When Humans Want to Intervene

blog.ml.cmu.edu

2 pointsby djoldmanhace 3 meses0 comments

Primesieve: Fast Prime Number Generator

2 pointsby djoldmanhace 3 meses0 comments

US, Iran say they have agreed to a two-week ceasefire

11 pointsby djoldmanhace 3 meses1 comments

Stack Overflow (Beta)

beta.stackoverflow.com

5 pointsby djoldmanhace 3 meses0 comments

100 Prisoners Problem

en.wikipedia.org

2 pointsby djoldmanhace 3 meses1 comments

Reward, Risk, and Regulation: American Attitudes Toward Artificial Intelligence [pdf]

2 pointsby djoldmanhace 4 meses0 comments

Software Development Job Postings on Indeed in the United States

fred.stlouisfed.org

3 pointsby djoldmanhace 4 meses0 comments

The Robotic Tortoise and the Robotic Hare

1 pointsby djoldmanhace 4 meses0 comments

Special Commitment Center

en.wikipedia.org

1 pointsby djoldmanhace 4 meses0 comments

US SEC preparing to scrap quarterly reporting requirement

757 pointsby djoldmanhace 4 meses469 comments

Anthropic sues Trump admin. seeking to undo "supply chain risk" designation

12 pointsby djoldmanhace 4 meses1 comments

Sioyek is a PDF viewer with a focus on textbooks and research papers

2 pointsby djoldmanhace 4 meses0 comments

Project Maven

en.wikipedia.org

2 pointsby djoldmanhace 4 meses0 comments

Apache Otava

otava.apache.org

85 pointsby djoldmanhace 4 meses9 comments

Project Pele

en.wikipedia.org

2 pointsby djoldmanhace 5 meses0 comments

Visible Spectra of the Elements

atomic-spectra.net

43 pointsby djoldmanhace 5 meses3 comments

comments

hace 3 horasdiscuss

> Say you want to throw an event. A medium sized gathering. More than a couple of friends. What happens if someone gets hurt at this event? Who's liable? Who's insured for what? It's boring and annoying, but if you throw an event without insurance and something happens, you're gonna have problems. So that paperwork needs to happen.

People have been throwing events of medium size since... well, pretty much our entire existence. For most of that, we've done it without general liability insurance.

Then we made new or interpreted old laws making others far more responsible for our well-being. Whole industries are propped up on this: a ton of lawyers, insurance companies, insurance boards, government departments, etc. etc. Did we increase overall utility by spreading out the risk more optimally given the massive cost to support that system? I'm not sure.

And so so so much of all that exists to dot the i's and cross the t's. Government staffers write and debate the law changes, insurance adjusters fight the lawyers, photos are taken, reports are written, doctors have to write more, computer systems crunch numbers.

Many feel that their jobs are bullshit because so much of this seems to be in service of the process or some possibility that might happen as opposed to doing something that actually changes something directly/tangibly.

hace 3 horasdiscuss

If you're going to take the time to read Geohot, take it with a grain/boulder of salt: he appears to enjoy poking the bear / being provocative, sometimes outrageously. Sometimes he's writing hyperbole that he thinks is hyperbole to make a point or just enjoy taking the extreme stance. Sometimes he's dead serious.

Anyway, he touches on 2 points that I think don't get enough coverage:

1:

> Software didn’t eat the world, it largely removed one layer of friction then reintroduced it for the benefit of a few tech companies.

USA-style capitalism has shown itself to be fantastic at seeking profit. Unfortunately, it turns out that in the context of long standing regulation, it is far far more profitable to exploit regulatory loopholes and user/human irrationality/weaknesses than to increase productivity.

The upshot of this is that the arc of most companies is to first serve the user and then leverage that relationship to exploit market and consumer weakness. So you get UI dark patterns, non-colluding oligopolistic price manipulation, outsourcing of costs to public entities, etc. while the core value proposition erodes as the company strategy turns ever more into making profit by legal anti-competitive tactics.

This company arc is so prevalent it's boring: it's a reflection of the system and it's not Facebook or Google or [insert whatever], it's what the system allows and therefore incentivizes.

2:

> No matter how high quality your tokens are, they cannot turn lead into gold.... AI 2040 includes this picture of a datacenter in the ocean. Just like vaporware, you can generate a picture easily. But in reality, you have to deal with supply chains.

"Bullshit jobs" took over the zeitgeist for a turn awhile ago. So many jobs are so far removed from actually moving physical things around. It may be the case that AI will just accelerate how quickly companies generate reports about reports about possible strategies to address potential futures and pay employees to do it.

It seems that AI mostly accelerates paperwork, not production or real service work that tangibly improves real world outcomes. It's all: faster images, more and faster powerpoints, more accurate dictation to satisfy insurance requirements (that is it's own regulatory capture), etc. etc. There are exceptions, but they seem to be few.

hace 6 horasdiscuss

"The Anti‑Forbes List"

Other possible titles:

  "List of Founders by Uncaptured Equity Value"
  "List of Most Regretful Founders"

Logic fully breaks down when looking at ratios. If you have 1 cent, your ratio explodes.

Reed Hastings may be the most regretful. He kept just 1.4% of the eventual value:

https://anti-forbes-list.vercel.app/founder/reed-hastings

hace 13 díasdiscuss

> This year, the economist decided that both the midterm and the final exams for his course would be of the take-home, closed-book type (there is a certain tradition of this at Ivy League schools).

These news articles are just tiresome at this point. Obviously folks cheated previously, obviously it's easier now, obviously the answer has been to not have take homes all along.

hace 26 díasdiscuss

Follow the Nordic model has never been anything but a fantasy.

All the Scandinavian countries put together have slightly more people than the NYC metro area and are extremely homogeneous in terms of ethnicity, religiosity, etc. as compared to the USA.

In short, it's never been a good policy testbed for the much much larger and more diverse USA.

hace 27 díasdiscuss

> So you can imagine how astonished I was last month when an American politician said that it was impossible to earn a billion dollars.

> She wasn't saying, of course, that it's impossible to become a billionaire.... What she meant was that it's impossible to get that rich without doing something bad — without cheating in some way.

> But now you at least understand, from having done the math yourselves, that you don't have to cheat to become a billionaire. You've seen for yourselves that there are only two numbers in the calculation, the growth rate and how long it continues. If it's impossible to make a billion dollars without cheating, which of those two numbers is impossible?

AoC quote:

> There’s a certain level of wealth and accumulation that is unearned. You can’t earn a billion dollars. You just can’t earn that. You can get market power, you can break rules, you can abuse labor laws, you can pay people less than what they’re worth, but you can’t earn that.

Come now @pg.

$2 million * 9.45 months * 93% growth rate = earning a billion dollars, ok. Does that really address what AoC was saying? She wasn't saying that the math doesn't math.

hace 2 mesesdiscuss

What's rarely addressed in these articles is the question: if the product/service is so bad relative to the cost, where's the competition? Specifically in this article about fire trucks, they say that margins have tripled... ok, why isn't anyone jumping on that?

hace 2 mesesdiscuss

> Society gains massively from future workers/tax payers

It seems to me that, all other things equal, future workers/tax payers will lead to economic increases proportional to their costs.

A reasonable forward looking plan / budget scales with the population size. Therefore there would be no need for these special one off exceptions and nudges.

All these little bandaids add up to complexity that necessitates more bandaids.

hace 2 mesesdiscuss

> Under the US Cloud Act, American companies are required to hand over all information they store to the government if requested to do so, even if it is stored abroad.

Hrm. It's my understanding that a US company is required to give almost no data to any government without a warrant.

hace 2 mesesdiscuss

Non-paywall:

https://www.msn.com/en-us/money/other/us-is-starting-to-see-...

hace 2 mesesdiscuss

> Replace ‘CTF’ with ‘high school’ or ‘university’ and you’ve described the total slow motion collapse of education; the only saving grace is that most of it requires in person presence.

So something like, "Frontier AI has broken the 'high school' or 'university' format"?

The hype surrounding AI is just pervasively exhausting: you've got the folks talking about an entire new age for humanity where we're shortly going to take over the entire universe. And you've got the folks talking about how our entire society is crumbling.

Education is one place folks seem to throw up their hands and say nothing can be done.

The fix is simple: students are to be evaluated on their performance in person. That's it.

Any other "collapse of education" isn't due to AI, it's something else.

hace 2 mesesdiscuss

I would love for the standard to be to ALWAYS report the required amount of memory to load and run a model in bytes of RAM alongside any other metrics. I'd love to see time to first token, token throughput, token latency as well but I'd settle for memory size as described above.

Essentially, many people want to know what the minimum amount of memory is to run a particular model.

Parameter count obscures important details: what are the sizes of the parameters? A parameter isn't rigorously defined. This also gets folks into trouble because a 4B param model with FP16 params is very different from a 4B param model with INT4 params. The former obviously should be a LOT better than the second.

This would also help with MOE models: if memory is my constraint, it doesn't matter if the (much larger RAM required) MOE version is faster or has better evals.

I'm waiting for someone in anger to ship the 1 parameter model where the parameter according to pytorch is a single parameter of size 4GB.

hace 2 mesesdiscuss

Not to support or attack the rationale behind the css or html standards but these have exact real world SI unit meanings:

   CSS  |                    | Exact Size | Exact Size    
   Unit | Name               | (Inches)   | (Millimeters) 
  --------------------------------------------------------
   cm   | Centimeter         | 50/127     | 10            
   mm   | Millimeter         | 5/127      | 1             
   Q    | Quarter-millimeter | 5/508      | 1/4           
   in   | Inch               | 1          | 127/5         
   pc   | Pica               | 1/6        | 127/30        
   pt   | Point              | 1/72       | 127/360       
   px   | Pixel              | 1/96       | 127/480

https://en.wikipedia.org/wiki/Inch

https://en.wikipedia.org/wiki/Millimetre

https://www.w3.org/TR/css-values-3/#absolute-lengths

hace 2 mesesdiscuss

Could you share your thoughts about neuralink? Is there enough signal for this to really work?

hace 2 mesesdiscuss

> Have you never met a bad doctor? A shoddy lawyer? A barista with a PhD?

I presume the implication is that bad doctors and shoddy lawyers exist and just because they have advanced degrees doesn't make them good at what they do. This seems reasonable.

BUT, I find it fascinating that people who aren't doctors or medical experts think they can spot a "bad" doctor or people who aren't lawyers or experts in law think they can spot a "shoddy" lawyer.

A good doctor/lawyer makes good decisions and executes beneficial actions given the facts surrounding a situation. It's pretty hard to judge whether those decisions and actions are good or bad if one isn't an expert.

That's a huge motivating factor for professional licenses.

hace 2 mesesdiscuss

I came across a comedy clip where the employees are fighting over how many billion tokens they were using and assumed it was a joke.

hace 2 mesesdiscuss

Unfortunately, it's probably not worth your time to read 99% of arxiv papers, LLM generated or otherwise.

Ever pick a random one and really dive in?

hace 2 mesesdiscuss

Just a reminder from January: "California completely drought-free for 1st time in 25 years after winter storms"

https://abc7.com/post/california-has-zero-areas-dryness-firs...

hace 2 mesesdiscuss

Is anyone actually at a company that is purposely trying to use a ton of tokens? It gets expensive really fast.

hace 2 mesesdiscuss

> Runo extracts by meaning, not DOM position. Site redesigns and HTML changes won't ever break your pipeline.

Bold claim.