They absolutely sat on this and waited until a competitor announced something, so they could suck the air out of the room.
283 karma · joined May 16, 2016
At first it was denial - "everyone will be back in the office eventually!"
Then it was anger - "you will RTO or you will lose your job!"
Now it seems like we've finally hit bargaining - "you'll come in 3 days per week, wait, 2 days, wait, special exception for the last week of every month".
I wonder how long it goes on until we get to depression and acceptance?
I've always thought entanglement makes more intuitive sense on a graph substrate of some kind, where the "spooky action at a distance" is actually just an anomalous edge in the graph connecting two vertices which would otherwise be more distantly separated. This begs the question of how the edges in the graph came to be or whether they're modifiable at all though.
You can go one level up from there and buy VTSAX if you want to buy everything and truly "passively" invest in US stocks, but again, you'd be "actively" choosing not to invest in international stocks then.
It's turtles all the way down.
TL;DR for folks is that they left a lot of debug information in the build. The C code was compiled with no optimizations (and included debugging symbols), and GOAL uses a string-based table for global functions/variables/types, so they're starting with all those for free. Plus they don't think the GOAL compiler did too much tricky-to-undo optimization either.
Motivators actively cause job satisfaction. Things like finding personal fulfillment, meaningful work, and other top-of-Maslow's-hierarchy stuff.
Hygiene factors cause dissatisfaction in their absence, but aren't standalone motivators. Salary probably fits in this bucket - if you learn that you're underpaid, you're likely to feel demotivated and look for work elsewhere. If you learn that you're overpaid, that can cause dissatisfaction too (feeling like you have to serve out the rest of a prison sentence until your shares/options vest is pretty common in our industry).
Compensation isn't everything, but if it seems unfair, it's absolutely enough to motivate people to make changes. I think we're seeing a reevaluation of labor market expectations with the whole Great Resignation thing, where those who are in demand are realizing just how demanded their skills are (and getting pissed off that they're undercompensated in their $current_job), and the old generation you speak of is trotting forward with their fingers in their ears, blinded by normalcy bias to the fundamental shift happening in front of them - a big labor market awakening.
It's easy to use something like compensation or new challenges as a post-hoc rationalization for making a move too, even when the real reason you started looking is perhaps different and requires some introspection. As an example, you might not start looking because you want more money, but it's fairly socially acceptable to say "I left because I was made an offer I can't refuse" as a justification when you do actually leave.
Additionally, I think "undoing" the remote workforce transition is going to be nigh impossible for many companies. How do you get your employees back to the office? You probably tell them their employment is contingent on being in the office; that's the only leverage you really have as an employer. Many people have moved since the onset of the pandemic, and with the labor market as tight as it is, few companies are going to be able to stomach laying off employees who moved away and don't want to move somewhere near a physical office location.
So companies have a Hobson's choice: declare an "on-site" culture and axe all the people who no longer wish to be on-site (with no guarantee that you'll be able to hire replacements in a timely manner), or declare a "hybrid" culture and allow people to opt into coming into the office instead of having it mandated (with no guarantee that people will actually show up to the office and make your real estate expenses worthwhile).
I think a lot of companies are going to choose option #2 now, and a lot of those who choose #2 are going to reevaluate that gargantuan office lease expense in a few years' time when comparing the cost with the actual utilization of the space. I think a not-insignificant portion of the option #2 companies will end up being "full remote" companies as a result, it'll just take them a few years to get there. I think the option #1 companies will probably be fine if they're in cities where there's enough talent, but their long-term success is kind of a toss-up in my opinion. It truly depends on whether the social benefits of in-person interaction gives them a competitive advantage versus world-spanning remote companies who can be more selective with their talent.
The only question that remains to be answered is whether remote or in-office companies have structural advantages over the other type, and it will probably take a decade or so before there's enough data to conclusively call it.
Basically all major payment networks are facilitated by a middleman of some sort, and that middleman entity usually has operational costs that disincentivize them from offering micropayments.
Your point about a "balance" lands though - nothing stops NYT from making one "big" charge and then deducting from it other than consumer psychology (paying $10 up front can feel different than paying $0.05 at a time, for example).
Imagine if you could buy access to a paywalled news article for $0.02 (on an article-by-article basis) instead of having to purchase a monthly subscription. Or imagine being able to pay $0.10 to watch a particular episode of a show without needing to subscribe to the streaming service. How many people would prefer doing that instead of using current SaaS subscription models (which exist largely because it's a huge hassle to implement credit card-based micropayments)?
Subscription businesses should be on guard: micropayments open up advertising-independent ways for creators to monetize content. With all the well-deserved criticism of ad-based businesses in recent years (particularly social media), it's possible that micropayments enable business models that don't rely on ads the way many online businesses have up to this point. That's huge, and kudos to Twitter for taking the leap.
Too often there are siloed "data science teams" who do the best they can to field asks from tons of different business areas. Within those teams there are handoffs to labeling teams run offshore in MTurk style, handoffs to data engineers to build ETL to feed the modeling efforts, and then when models are finally trained there's a handoff to machine learning engineers to implement them!
Clearly data scientists need to be better integrated into product development flows, and not treated like a strange specialized black box.
You can take an online version of the Bartle taxonomy questionnaire to get your own results here:
If you tried to live a trustless life, you couldn't get surgery, ride on a plane, get food from a grocery store, etc. - all of those things rely on implicit trust in other human beings. The whole of human society was built on trust!
Analogously, think of memory management in a computing context. You have a program running that gradually allocates memory linearly over a certain time period (daytime), but then releases all that memory linearly during another time period (nighttime). Say you're dealing with 4GB of memory and you run the memory-increasing part for 6 hours, then run the memory-decreasing part for the next 6 hours, and so on. Suppose you never allocate the full available 4GB when you're dealing with a 6 hour on/off timecycle (the rate of memory allocation is too low to get to 4GB in 6 hours) - but what happens if you extend the timecycle? There's some timecycle length at which you will finally attempt to allocate more memory than the 4GB your hardware is capable of, so the host OS starts swapping or writing stuff to disk to deal with the excess.
Biological systems don't have a "host OS" that regulates their molecular byproduct management though. Extra atoms/molecules are just going to escape into the surrounding environment. Perhaps the oxygen buildup during the daytime might have worked this way with the cyanobacteria - longer days led to more oxygen being produced than could be physically retained in the immediate vicinity of the cyanobacteria (some type of saturation effect), so all the oxygen in excess of the saturation threshold effectively "escaped" and became unavailable for metabolic "re-consumption" at nighttime. Thinking about the longer nights that accompany the longer days, there's probably a period of time in these longer nights during which all the "nearby" oxygen has been fully consumed, and the cyanobacteria more or less sit idle.
Oxygen saturation in the surrounding environment seems like the missing logical piece from this popsci article.
We can make well-informed guesses, but until there are boots on the ground of the Moon, Mars, and the asteroid belt, we can't know for sure.
If there are any physicists/engineers reading this that have the appropriate expertise to potentially work on something like it, I'd be super curious to hear your thoughts about how it could work.
Assuming we're supporting a Moon colony of nontrivial scale (~100 people maybe?), what would the experience of connecting to Earth's internet be like for the colonists? What infrastructure would we need to create to make it possible and/or improve it?
https://www.extremetech.com/extreme/227720-how-intel-lost-10...
https://semiwiki.com/semiconductor-manufacturers/intel/28919...
The TL;DR is that Intel has always been a vertically integrated shop (meaning that they usually fab and design their own chips), and that is starting to bite them because pure-play foundries are improving their tech at a faster rate.
Intel has been unable to keep up with process advancements in their foundries, and that has led to pure-play foundries like TSMC taking massive market share. As chips get smaller and smaller, Intel has failed to keep up. They can only do 10nm for their mobile stuff and 14nm for their desktop stuff, whereas fabs like TSMC have been in 7nm territory for a while now and are moving into 5nm territory.
The oldschool forum thread organization model of "bumping" seems more prescient by the day.
The cons of raising VC money? You are forced to answer to someone else to some extent. You become vulnerable to complacency and largesse for the reasons stated in the article. You put some distance between yourself and customers early, which can slow down your quest for product-market fit. You lose a piece of the equity pie.
The pros of raising VC money? A good investor can give you market knowledge you would have to learn the hard way otherwise. A war chest can give you a head start over other early-stage competitors (or establish you as legitimate among existing ones). You can take on problems that require large up-front investments. You can hire people to help you out without having to worry about your ability to pay them.
Personally? I found the tradeoff to be worth it and raised money for my current company. We worked for about 8 months without paying ourselves, and then started paying ourselves half our market rates once we had some supplementary cash in the bank. We hired a few stellar employees who knew how to do the things we needed to do but couldn’t, and now I think we’re in a much better spot than we would have been had we not raised.
But obviously it depends on the situation - just because it’s worked for us doesn’t mean it will for others. Happy to answer further questions about our founder rationale for anyone who’s interested.
Both the Raoult protocol and remdesivir appear to help if used earlier in the disease progression; neither seem to do anything if the disease has progressed past a certain point.
If early use is the key to efficacy (and if both demonstrate the same degree of efficacy, as it seems currently), the Raoult protocol is the only one that makes sense to scale up. The ingredients for the Raoult protocol are much more easily mass-produced and administered, whereas remdesivir is proprietary, very expensive, and IV-only (as other posters have noted).
While multiple years of OS support would be nice in this form factor, not being able to use 5G data would be a big negative in terms of this being "futureproofed".
1. The US stops subsidizing the global order, pulling back substantially from international involvement. Its continued international presence is primarily felt through alliances, but its military more openly acts like a mercenary force. Global geopolitics reverts to the mean, and a series of wars between now-unshackled regional powers in other areas of the world follows.
2. The US builds a military presence on another celestial body.
3. The US and UK ink a trade agreement after Brexit. The agreement is comparable to Lend-Lease in its blatant favoritism for the American side. The Brits take it anyway because it protects them from an economic depression.
4. The US intervenes in Canadian and Mexican politics/internal affairs.
5. China's Communist Party collapses. Capital flight and a demographic inversion (reaping what was sown by the One-Child Policy) produces a nation that cannot stand up to the survival pressures of a more-disorderly world. Unable to continue subsidizing its aging population, the current central planners lose their grip on power and something new replaces their influence.
6. The European Union fractures. Germany rearms itself.
7. Renewable energy turns out to be overhyped almost everywhere - except Texas, which leads the world in renewable energy production.
8. The US federal government legalizes at least one current Schedule I substance.
9. Medicine, law, and real estate are disrupted by technology in the way taxis and hotels were in the 10's. Medtech, lawtech, and proptech become popular buzzwords. Retired/aging Baby Boomers invest their money heavily in these sectors during the decade, fueling a new wave of startups in each field.
10. Investigative journalism exposes something horrifying a big tech company did (think something comparable to Upton Sinclair's "The Jungle"), and that exposure galvanizes public opinion in favor of substantially increasing regulations on tech companies. SaaS margins go down across the board as a result.
11. MMT becomes the prevailing ideology for economists, who use it to justify continued quantitative easing. Goldbugs and bitcoiners continue rooting for the collapse of fiat money, and central banks aren't really questioned outside the political fringes until the end of the decade.
12. AI research - another AI winter. No major advances of the state of the art.
13. AI application - we invent many more ways to apply neural networks, and solve many practical problems previously thought unsolvable.
14. The political gyre widens in the US, as the factions continue to live in their own alternate versions of reality. A major crisis shatters this polarization, eventually leading to a renewed American nationalism and civic pride as old institutions are destroyed and new ones are built in their place.
15. Cryptography becomes the only "trustworthy" way to verify digital information in a world of deepfakes. A big public blockchain gets a new lease on life as a public identity management system.
16. The first consumer-grade quantum computing hardware is launched, with a minimum of 8 qubits.
17. There is an IOT confidence crisis. When people realize their smart devices power botnets, a de-teching consumer movement brings purely mechanical devices "with no computer attached" back into vogue.
18. There is significant pollution cleanup in the oceans. Unfortunately, it's not driven by climate altruism - it's driven by a desire to harvest and reuse plastics, because oil is too expensive for much of the rest of the world to consider making them from scratch.
19. Genetic engineering cures cancer, diabetes, Alzheimer's, or some other major disease. The ethics of genetic engineering thus enters the public consciousness and debate - and the tone of that debate is just as divisive as the abortion debate.
20. We discover some sort of physical anomaly which violates the Standard Model. A flurry of new activity in physics follows.
I wish you all continued success and happiness in the coming decade!
BlueSuit is a funded, early-stage startup (less than 10 employees) in the proptech space, specializing in commercial real estate sale transactions. We build software that uses OCR/NLP to read and extract important info from complicated real estate documents. We streamline the deal-closing workflow for brokers and other parties.
Our stack is Postgres/Django/Apollo/React, with some of our data science code running on AWS in various configurations, and our prod stuff hosted on Heroku for the time being. Server-side GraphQL library is Graphene-Python.
We're looking for a senior full-stack engineer who can primarily work on the frontend, with the occasional dip into the backend as necessary (adding fields to the DB schema and/or nodes to the GraphQL schema).
We're using cutting-edge tech in an industry in desperate need of modernization, so there's huge greenfield upside opportunity. This is an onsite job. We have a small office in a coworking space in downtown Denver, but will likely be expanding pretty rapidly - we've gotten a gigantic boost in business from our participation in the Colliers/TechStars Proptech accelerator.
To apply, email me directly at dylan(at)bluesuit.com with your resume. Please include "Hacker News" in the subject line so I don't accidentally filter out your email!