HN user

Herring

3,348 karma
Posts19
Comments1,565
View on HN
www.nytimes.com 15y ago

WikiLeaks Archive - Dim view of Russia and Putin

Herring
3pts0
sciencenow.sciencemag.org 16y ago

"Perhaps one of the most important [recent] papers .. in evolutionary biology"

Herring
19pts6
www.scottaaronson.com 17y ago

S. Aaronson. NP-complete Problems and Physical Reality [pdf]

Herring
5pts0
news.ycombinator.com 17y ago

Ask HN: your favorite obscure Firefox extensions?

Herring
17pts29
www.theatlantic.com 17y ago

Seeing Around Corners

Herring
4pts0
news.ycombinator.com 17y ago

Ask HN: How do you read RSS feeds?

Herring
3pts8
www.lsbu.ac.uk 17y ago

Water structure and science

Herring
2pts0
blogs.citytechinc.com 17y ago

I’m like a Hypochondriac, but with Programming

Herring
24pts8
599productions.com 17y ago

Excellent time lapse video

Herring
7pts2
www.youtube.com 17y ago

Pre-Game Coin Toss Makes Jacksonville Jaguars Realize Randomness Of Life

Herring
2pts0
cato.org 17y ago

The Myth of the Rational Voter: Why Democracies Choose Bad Policies

Herring
1pts2
www.slate.com 17y ago

American Lawbreaking

Herring
33pts13
img103.imageshack.us 17y ago

OpenSolaris: Does it look familiar?

Herring
2pts5
www.gp-field-guide.org.uk 17y ago

Field Guide to Genetic Programming (Free Book)

Herring
42pts7
www.linuxjournal.com 17y ago

An Introduction to AIR

Herring
1pts0
www.techenclave.com 18y ago

Compiz Fusion : An Unparalleled 3D Environment

Herring
1pts0
www.mininova.org 18y ago

All Information Theory Books Categorized

Herring
1pts0
phpimpact.wordpress.com 18y ago

The best Software Developers are in China

Herring
1pts0
www.scribd.com 18y ago

Ultimate physical limits to computation

Herring
1pts0

If you're using randomized testing as "extra credit", to catch a few more bugs, or to replace traditional software testing processes, you can just tell an LLM to look for risky areas of the code and find invariants that might be violated and fuzz them. This works ok. When I've convinced people to try some randomized testing, they usually start here and find quite a few bugs they're happy to have found. Due to the nature of who's interested in trying out novel-to-them test techniques, this is often from people who've worked on some of the most well-tested and reliable code at the company and they can find bugs in their own relatively well-tested code.

Counterpoint: I just tried a few rounds of LLM-generated fuzzing on my current side project and couldn't find a single bug. Maybe try coding more defensively?

Hmm, it might be better to just go straight to what leading countries currently do (Finland/Estonia/Japan/Singapore/etc). Other factors probably play a bigger role, like school funding, school autonomy, teacher professionalism (high education level + continuing education + good pay), free school meals/healthcare/transportation etc

This comment is another example of "Nobody ever gets credit for fixing problems that never happened."

There's a massive push to add unnecessary complexity to everything out there, because complexity pays all our bills.

Yes it was, by constantly rejecting the only cures: redistribution and unionization as socialism. Unregulated capitalism always trends towards concentration of wealth/power.

Another thing I’ve noticed is Americans are extremely non-self-aware about this topic. Go ask your favorite frontier LLM to tell you about notable moments in American history when they rejected socialism, explicitly or otherwise. Overall in history, and over just the last 30 years specifically. Institutions, and the electorate itself.

It’s not like Americans were invaded and forced to accept this. They repeatedly voted for it. Obama tried to work on healthcare, then had the largest electoral losses since Eisenhower, all up and down the ballot. Instead they voted for the real-estate billionaire. Trump has zero healthcare during a major pandemic - crickets. This country doesn’t want anything labeled “socialism”, and will hurt itself repeatedly to prove it. Last time it took a Great Depression to change their minds.

Ok that probably explains it. We're just talking past each other. You're doing really good work, and Seattle is one of the top transit cities in the US, but those three cities I mentioned before are in a whole different league as global outliers. Best practices in an American historical/political context are completely different than best practices overall. You can find lots of examples historically and today (eg in developing countries) where density outpaces good transit and the result is gridlock/pollution/etc. Seattle is just not that dense (yet).

The problem is not AI. It's an excellent technology. The problem is there's an underlying power grab (e.g. layoffs). When humans do that to each other they inherently dehumanize/invalidate/insult each other. Implement strong labor protections or basic income and a lot of this dog-eat-dog toxicity goes away.

I see what you're getting at. That's not going to work. Public transit falls into multiple well-known market failure modes - https://en.wikipedia.org/wiki/Market_failure

You need considerable govt intervention, just aimed properly. https://en.wikipedia.org/wiki/Transit-oriented_development

Try this: go to your favorite frontier LLM (I like Gemini pro - free in aistudio), paste this entire exchange we're having, and ask it to carefully analyze it and assess who seems more correct. It's a long story.

It kind of was. I really hate gaslighting, but GP is not inaccurate. Google claimed it did not meet their bar for publication because it ignored recent research on how to reduce the environmental and bias-related risks of LLMs. On the other hand, a large org is unlikely to subsidize high-profile research that makes it look bad. And Gebru was critical of Google’s internal culture and diversity efforts…

Well yeah. Key policy choices in housing/healthcare/education/banking/etc have financialized basic human necessities, forcing the working class to give up a growing percentage of their income to the asset-holding class.

I'm not saying "all government interference is bad". For example plenty of countries prove that if you want to control healthcare costs, you need more government intervention in drug pricing, not less.