HN user

cjrd

711 karma
Posts19
Comments43
View on HN
machinelearning.apple.com 11mo ago

The "Super Weight:" How Even a Single Parameter Can Determine a LLM's Behavior

cjrd
2pts0
www.newscientist.com 1y ago

Changing a single number among billions can destroy an AI model

cjrd
3pts1
arxiv.org 1y ago

Pruning a single weight in an LLM can destroy its output

cjrd
1pts0
bairblog.github.io 4y ago

Accelerating Ukraine Intelligence Analysis with Computer Vision on SAR Imagery

cjrd
6pts0
medium.com 7y ago

Simple logical statements that convinced an engineer to go vegan

cjrd
2pts0
css-tricks.com 8y ago

8-Digit Hex Codes?

cjrd
1pts0
medium.com 8y ago

A Much Needed Etiquette for Sharing Hacker News Links

cjrd
1pts0
medium.com 8y ago

A Much Needed Etiquette for Sharing Hacker News Links

cjrd
2pts1
www.mikeperham.com 10y ago

Use Runit

cjrd
8pts0
nathanleclaire.com 10y ago

A Surprising Feature of Golang That Colored Me Impressed

cjrd
1pts0
github.com 10y ago

Cesium: a distributed visual processing framework

cjrd
6pts0
www.scottaaronson.com 11y ago

Do theoretical computer scientists despise practitioners? (Answer: no)

cjrd
3pts0
particle-clicker.web.cern.ch 11y ago

CERN Particle Clicker

cjrd
177pts48
news.ycombinator.com 12y ago

Ask HN: Do long, [funny], descriptive URLs help?

cjrd
5pts6
metacademy.org 12y ago

Level-Up Your Machine Learning

cjrd
336pts46
www.dependapal.com 12y ago

Show HN: Dependapal – Use Implicit Peer Pressure to Make Progress on Your Goals

cjrd
25pts20
obphio.us 12y ago

Berkeley Restaurant Health Inspection Visualization

cjrd
1pts0
hunch.net 12y ago

All Models of Machine Learning have Flaws

cjrd
12pts1
bl.ocks.org 12y ago

Using d3 to create directed graphs

cjrd
1pts2
CalcGPT 2 years ago

It's great to see a _real_ AI application among all this media noise ;-).

Seriously though, this is wonderful satire. I asked 88x10 and it returned an HTML meta tag.

GPT-4 3 years ago

Let's check out the paper for actual tech details!

Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar.

- OpenAI

GPT-4 3 years ago

Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar.

Thanks OpenAI

This is all predicated on existing conditions, where AI-written text hasn't influenced the way that humans write. As the years pass and these tools become a common way to at least "spot check" your own writing, I imagine that we will all begin to write in styles that are increasingly similar to AI-written text.

First, is productivity really the issue here? It makes for a great sound bite, but I imagine we've all spent a lot of time and effort working really, really hard...on the wrong thing.

Second, for large companies that want to weather the "impending recession," how is it that working harder will allow them to do this? What specific results will this yield? More product launches/improvements? Happier customers because of these launches (heh - when was the last time this happened for these companies) that translates into more revenue?

What I would love to see are execs that say something like "We really want to focus on listening more to our customers and improving our relationship with them. While others are shouting 'build! build! build!', we're saying 'listen, build, repeat.' Here's some specific ways we are going to do this: ..."

Then, sure, turn up the heat internally around this mission. Great - a rally cry around an objective. But right now, the rally cry is the rally cry is the rally cry. Work hard to work harder so that we work harder, and oh yeah, we'll fire people who don't because they're lazy and not 1337 enough to be here. You know, because recession.

"the food vegans would like to eat": vegan/vegetarians already exist, and we study and analyze their diets when determining crop usage, e.g. see reference #5 in the blog post. Or, my personal favorite: https://www.nature.com/articles/s41586-018-0594-0

tldr; omni diets consume about an order of magnitude more crops in total, so, you know, more animals die in crop production to eat animals than not eating animals...

oooo, also of interest: we actually eat a very small number of crops, 40 crops make up 90% of the global calorie consumption (see ref #4)

Did you take a look at reference 4-6, particularly #4, and Figure 1 in #4? The animal products we consume are objectively more resource intensive than the non-animal products.

[dead] 8 years ago

flagged as spam: I wonder how HN could catch these sorts of posts automatically

Some strong scientific studies indicating such would be a good place to start :-)

On the other hand:

(1) "meat-based diet is actually the healthiest way to eat"

Position of the American Dietetic Association: vegetarian diets, (2009): "It is the position of the American Dietetic Association that appropriately planned vegetarian diets, including total vegetarian or vegan diets, are healthful, nutritionally adequate, and may provide health benefits in the prevention and treatment of certain diseases. Well-planned vegetarian diets are appropriate for individuals during all stages of the life cycle, including pregnancy, lactation, infancy, childhood, and adolescence, and for athletes."

Health effects of vegan diets, Craig, W., The American Journal of Clinical Nutrition, (2009) From the summary: “Vegans are thinner, have lower serum cholesterol and blood pressure, and enjoy a lower risk of CVD. BMD and the risk of bone fracture may be a concern when there is an inadequate intake of calcium and vitamin D. Where available, calcium- and vitamin D–fortified foods should be regularly consumed. … Vegans generally have an adequate iron intake and do not experience anemia more frequently than others. Typically, vegans can avoid nutritional problems if appropriate food choices are made. Their health status appears to be at least as good as other vegetarians, such as lactoovovegetarians.”

(2) meat can be raised in humane, environmentally-friendly ways

Reducing food’s environmental impacts through producers and consumers. Poore J. and Nemecek T. Science, (2018). Example conclusion: meat and dairy provide 18% of calories and 37% of protein, but uses 83% of farmland and produces 60% of agriculture’s greenhouse gas emissions.

Analysis and valuation of the health and climate change cobenefits of dietary change. Springmann M. et al. PNAS (2016) “The food system is responsible for more than a quarter of all greenhouse gas (GHG) emissions, of which up to 80% are associated with livestock production. Reductions in meat consumption and other dietary changes would ease pressure on land use and reduce GHG emissions. Transitioning toward more plant-based diets that are in line with standard dietary guidelines could reduce global mortality by 6–10% and food-related greenhouse gas emissions by 29–70% compared with a reference scenario in 2050.”

And well, I'm not sure if humane slaughter matters to conscious animals. I certainly wouldn't appreciate if someone humanely slaughtered me. And as for the consciousness aspect: The Cambridge Declaration on Consciousness 2012. A group of prominent neuroscientists created The Cambridge Declaration on Consciousness, in which they state their support for the idea that animals are conscious and aware in a similar way as humans. “The absence of a neocortex does not appear to preclude an organism from experiencing affective states. Convergent evidence indicates that non-human animals have the neuroanatomical, neurochemical, and neurophysiological substrates of conscious states along with the capacity to exhibit intentional behaviors. Consequently, the weight of evidence indicates that humans are not unique in possessing the neurological substrates that generate consciousness. Non-human animals, including all mammals and birds, and many other creatures, including octopuses, also possess these neurological substrates.”

EDIT: these points are cribbed from a blog post I wrote on this subject: https://medium.com/@colorado.j.reed/veganism-from-an-enginee...

Ah, you're right, it is a nuanced question. Perhaps more importantly: as mentioned in the (admittedly large) publication I cited, the rearing time for grassfed cattle is about 3x longer than factory farmed cattle, so the net methane output is considerably larger.

DotDashPay | Full Stack Engineer | $100,000 - $115,000 + A Nice Chunk of Equity | San Francisco | On-Site

DotDashPay (https://dotdashpay.com) is a hardware and software platform that makes it easy for machine builders and designers to connect their machines to payments. Our long-term goal is to enable a completely autonomous economy by providing companies with tools that make it simple to build machines that automate the transaction process. We’re a venture backed company with a strong founding team from UC Berkeley (our founders grew out of the CS PhD program).

We’re looking for a full stack developer who wants to develop extremely reliable, clean, well-tested, and downright beautiful systems. We’ve found that a very productive and powerful way to do this is to write code that writes our code for us: autogeneration is the foundation of DotDashPay, and in this paradigm you can become a 100x engineer (building on top of our autogenerators will allow you to ship new features in hours instead of weeks).

On top of our autogeneration framework, we write most of our complex features in a combination of C, C++, and Go (golang). We are currently using Node.js as our web backend language and are migrating our frontend to React. Strong experience in at least a couple of these languages, and the desire to learn the others, is important to us.

Desirable characteristics:

* Polyglot programmer: we have APIs in almost every major language that are autogenerated from our specification. The APIs require small glue code that is written in the target language and needs to conform to the standards / conventions of that language.

* Experience building/managing infrastructure: as a small team, everyone helps build and manage our infrastructure. We use many modern tools and services (Docker, Ansible, AWS) and strive to build things the Right Way™, so we’re always open to trying a new ideas and tools.

* Security experience: our payment systems must support some of the biggest names in retail, and our codebase undergoes rigorous security testing and certifications. A strong understanding of security best practices helps ensure that our products ship faster and our customers can rely on our software.

* Experience / interest in payments: payments is a surprisingly fascinating and complex iceberg. Even if you know very little now, a desire to learn more is important as it pervades most of what we do.

Please email Sean Arietta via sean (at) dotdashpay (dot) com to set up a time for an initial chat.

We're currently discussing whether to aim for breadth or depth with metacademy, i.e. whether we want to work towards becoming the "ultimate AI resource" or a differently structured wikipedia. If you, or someone you know, has the necessary knowledge/interest to contribute business content, we'd love to work with them to add it to metacademy.

Great point - the checkmark is a trivial attempt: quizzes would be better, and as you mentioned, a review schedule. And the "notes" idea is fantastic (or maybe even flashcards with an Anki-like review schedule); we discussed it several months ago but it fell off the radar. Thanks for the thoughtful feedback!