3,636 karma · joined February 1, 2013
I also haven't heard any updates.
I mainly reserve scorn for companies issuing abrupt ultimatums to employees they hired remotely that they must relocate long distances or be fired. Nobody established in an area with a partner that also works, potentially has family nearby or kids in school is going to accept that. That move signals a toxic brew of tyranny and cowardice from execs who don’t want to take responsibility for doing a real layoff. Grindr, looking at you this week.
So all this is to say.... I don't think there would be commercial demand to, say, "upgrade" classic movies with color. Those films were shot by cinematographers who were steeped in the black & white medium and made lighting and compositional choices that take greatest advantage of those creative limitations.
IMO it's better ROI to get as specific as possible about the BAR role you are looking for and then put in the effort to do these things:
1) really workshop all the text on your resume / LinkedIn to make it clear you are seeking BAR opportunities
2) connect with people who are working on BAR or are BAR-adjacent
3) (if needed) think of easy things you can do to bolster your BAR credibility (small side projects, read a book on it, etc).
If you can do these things you automatically stand out because most people seem to lack introspection about what they want and also communicate poorly.
Doing this also will improve the ROI you get from your own network, because people will be able to more easily understand what you're looking for when thinking about the opportunities they know about.
Bottom line though: If I read over your profile, is it obvious you are actually good at X and seeking Y? It's amazing to me how many applications I see that communicate nothing about what the candidate has accomplished or would like to do next. A keyword spam resume is getting the circular file if it hits my desk.
If you have no friends, discuss it with ChatGPT.
In general there is a an oversupply of higher education capacity due to demographic downturn and a decline in enrollments since 2010. Smaller colleges have been closing because they cannot attract enough students.
I think some major force is needed to counter-act the runaway price growth without cutting off borrowing for students from low-income families. I think university prices should be capped by law at the inflation rate.
Think rent control for tuition.
Generalizing heavily, I think layoff risks looks something like this (from most risky to least risky):
1. Startups in an immediate or medium-term funding crunch. Standards to raise money are much higher now than they were in the recent past, so a lot of companies will likely go bust if they don't trim expenses aggressively. This includes a lot of companies that look relatively legitimate, have users, have nice websites, successful raised multiple times in the past, etc. If you ask them, they will never tell you they are having trouble raising, so you have to do your own research to form an opinion of their funding status.
2. BigCos under pressure from shareholders to grow profitability due to rising interest rates and competition for investor dollars. They have plenty of money to keep people employed, but investors are demanding a pound of flesh. This is why you see share prices surge after layoffs are announced.
3. web3/crypto zombie companies that aren't in dire financial straights yet, but may be pressured to return capital to investors given recent events in the space. You probably don't want to work here anyway.
4. Well-funded startups that raised recently and are actively growing. Any runway issues they have are far enough out that you don't need to worry much today.
So my advice is: Pick a startup that raised recently and is building something that looks like it could be a real business with appropriate margins. No web3 crypto scams, no uber-style businesses that can't grow without heavily subsidizing the cost of their service, etc.
A person working for a wage, even a poor one, has way more options than that. If you quit your job at McDonalds, nobody is going to come and murder your family. There’s no penalty for telling your manager to get fucked and starting a new job at Taco Bell the next week. And for those who are truly in hardship, there are social programs like Medicaid, SNAP, etc to look after many of their most basic needs.
The handling of trans issues is just one example to illustrate the problem here. People on the left think trans rights are human rights while people on the right think a lot of trans issues should be open for discussion, legislation, persecution, etc. I think if we're being intellectually honest most would acknowledge that as a country we are far from consensus on many of the details here (bathrooms, girls sports, etc), and yet Twitter's rules and enforcement actions behaved as if the leftist view of transgender people is the only valid and permissible view.
The handling of January 6 and the banning of Trump is another example.
These things are Rorschach tests; people apply their biases and reach very different conclusions about what should be done. I don't claim to know the solution, I'm just trying to sketch out the problem with the way things were creating a climate where a big segment of the US felt unwelcome and resentful toward the platform.
This presents a problem for the platform, since you can't afford to alienate large double digit percents of the population if your mandate from shareholders is to grow mDAU by any means necessary. In that context, having some metrics tracking in place to measure the impact of algorithm changes on democrats and republicans to see whether impact is disproportionate is a completely rational thing to do.
That is exactly what Twitter's stance has been all along (in the pre-Elon era) and it IS a problem for the product because people being silenced due to their own bad behavior (example: misgendering transgender people) feel an injustice is being done. The rule-makers get to set the range of acceptable discourse on Twitter and those to the right of center have felt unfairly disadvantaged by the way it was done in the past.
Over time this has eroded trust in the product. Just because people aren't being labeled and ranked based on whether they are red team or blue team, the people deciding what "good" and "bad" behavior looks like on the platform have the power to disproportionately impact these groups.