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cardosof

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blog.lls-software.com 2y ago

AWS Lambda Overview

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1pts0
www.doc.ic.ac.uk 3y ago

Key themes in Embodiment and the Inner Life (2010)

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1pts0
www.reuters.com 3y ago

Amazon asks employees to be in office at least three days a week

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33pts1
www.wsj.com 3y ago

If Your Co-Workers Are ‘Quiet Quitting,’ Here’s What That Means

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4pts2
veloren.net 4y ago

This Week in Veloren

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www.journals.uchicago.edu 4y ago

Impacts of Unionization: Evidence from Matched Employer-Employee Data (2021)

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1pts0
news.ycombinator.com 4y ago

Ask HN: Best low/no code platform for simple CRUD app?

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6pts2
seekingalpha.com 4y ago

Palantir Stock: Almost Crashing to Its IPO Lows

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en.wikipedia.org 4y ago

B.a.t.m.a.n

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16pts0
uk.pcmag.com 4y ago

US Doesn't Make the Top List for Internet Freedom

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3pts0
www.youtube.com 4y ago

The Most Accurate Hacking Scene Ever (2015)

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2pts0
blog.floydhub.com 4y ago

Floydhub Has Shut Down

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2pts0
news.ycombinator.com 4y ago

Ask HN: Do you have plans for staying fully remote?

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17pts18
www.principles.com 5y ago

“The changing world order” by Ray Dalio (2020)

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3pts0
www.noemamag.com 5y ago

Making Common Sense

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2pts0
quillette.com 5y ago

Mate Selection for Modernity

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3pts0
news.ycombinator.com 5y ago

Ask HN: How close to Ready Player One's Oasis are we in 2021?

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10pts15
news.ycombinator.com 5y ago

Ask HN: Best top level domains for a personal blog?

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5pts6
highscalability.com 5y ago

Centralized Wins. Decentralized Loses (2018)

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1pts0
rstudio.com 5y ago

Deploying End-to-End Data Science with Shiny, Plumber, and Pins

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2pts0
qz.com 6y ago

You’re never going to be Steve Jobs–but you could be Steve Ballmer (2015)

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3pts0
blog.shotwell.ca 6y ago

Why I use R

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185pts117
futurism.com 7y ago

Two Nearly-Identical Dark Matter Studies Have Conflicting Results

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2pts0
arxiv.org 7y ago

BooST: Boosting Smooth Trees for Partial Effect Estimation

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2pts0
medium.com 7y ago

Natural Language to SQL API

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2pts0
stevehanov.ca 8y ago

Game Theory, Salary Negotiation, and Programmers (2009)

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2pts0
offspring.lifehacker.com 8y ago

How to Introduce Your Kid to Studio Ghibli

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1pts0
arxiv.org 8y ago

Deep Learning for Forecasting Stock Returns in the Cross-Section

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13pts0
www.reuters.com 9y ago

Warren Buffett buys 120M shares of Apple Inc

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www.technologyreview.com 9y ago

Via a Brain-Computer Interface, Paralyzed Patients Say They Want to Live (2018)

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2pts0
Gemini AI 3 years ago

While this must be an incredible technical achievement for the team, as a simple user I will only see value when Google ships a product that's better than OpenAI's, and that's yet to be seen.

It's not like that's something new or exclusive to tech, right? Coke had cocaine and cigarettes were physician tested and approved. We should have learned from those things but we didn't, and so history will rhyme.

Beazley is one of the masters and his other books are great. My nitpick here is that, as in any other language, the basics are there forever and the advanced features/techniques get old and replaced every now and then.

People don't see it being this revolutionary because they don't know how to use it. My wife (literary translator) my close friends (2 doctors and one business executive) and myself are seeing massive gains in productivity by using simple prompt techniques such as chain-of-thought. Heck, my cardiologist friend from one of the country's top hospitals is writing a book with chatgpt. It's there and it's great, and will only get easier to use, smarter, faster etc.

I too don't like to use the title Engineer lightly, but what would be a good title for someone who's job is building and maintaining chains of prompts that perform X,Y,Z in a system? Developer? The comparison with search engines is naive since those are made for end users and LLMs are a piece of software that are a part of a bigger solution.

I don't think there's a silver bullet. The % for each macro - if it's a low carb or high fat or high protein really depend on the individual and the specific needs. My wife for example can't go on low carb or she'll have major headaches even after the "adaptation period", while I don't even get minor headaches. Also the amount of fat may vary, high fat diets tend to be better for overweight people while healthy people are OK with more balanced diets. The most important things are defining an objective and understanding how your own body works. My current diet was made for slowly losing body fat (mild caloric deficit) and it's like this: Breakfast: whole milk, oats, whey protein, flaxseed and chia seeds. Lunch: brown rice, vegetables, meat (steak twice a week, chicken or fish the other days) Afternoon snack: 2 boiled eggs Dinner: lunch without rice. It works for me but the whole milk and the steaks are really bad for some people.

I'm against a TikTok ban and here's why: if user-level data collection and fingerprinting are wrong, ban that. If algorithms to show certain things for certain people are wrong, then ban that too. If a company being owned by a foreign entity who is a "frenemy" at the eyes of the military, then sure, ban it. If US social networks are banned in country X, then ban X's social networks in the US. Again, that's Ok. But those are rules made for any company in any place, not just TikTok. Just banning TikTok now seems more like making some convenient excuses for doing what some folks already wanted to do anyway as soon as TikTok started getting their cookies and slices of ad revenue and media relevancy.

The price of democracy in a region or organization is the minority of votes not getting the result they want and only that. Nothing to do with privacy. Not having privacy is a consequence of authoritarianism, be it for a greater good (to find child abusers) or not (to find dissidents).

If I lived in the EU I'd want to know who are proposing this kind of stuff and help with anything that gets them far from public and government -related jobs forever, but hey, that's me. Lots of people like to give up a bit of freedom and privacy in exchange for an increased sense of security.

Most food packaging is made with aluminium. Aluminium is down 30% YoY but up 50% in the past 3 years. It's been a wild ride for manufacturers and they increased prices to handle this. Same with energy, the average cost is 50% up from ~3 years ago. Not just electricity that powers up the factories, but the oil for everything logistics.

If you're Unilever/P&G/Nestlé, what do you do? You start cutting costs (less/worse materials - that's called skimpflation), total production volumes or less volume per product (shrinkflation). You also are not as inclined as before to give out promotions and benefits. The good old "pay 1 take 2" is now "pay 1 take half". Retailers get squeezed because they can't just pass the whole price raise down to the end customer, so they suck it up a little and get less profits. They also had more operational costs, so they get screwed (mostly the people working there). The smaller ones may shut down or get M&A'd, the big ones survive.

To make matters worse, the world is simply unpredictable right now. Post-covid you would expect some categories would go up (deodorants, for example), but then you have a war in Ukraine and a global rise in interest rates. When managers can't predict they go with the worst-case scenarios in their pricing strategies, reinforcing all that's bad.

Personally, I'm saving what I can, investing in inflation-indexed bonds and the occasional "buy the dip" for some select stocks, freezing cooked foods with a month in advance, and being very cautious with any job movements. I hope I'm wrong but I believe that will be the way to go for at least a year, if not more.