axg11

I think the basis of your comment is incorrect. Employees have never had more freedom. Work from home is now widespread. Working hours are more flexible than ever. Workplace benefits have improved drastically over the last 10 years. Percentage of workers with access to maternity/paternity leave is increasing year-over-year.

> There has been an erosion and change in the nature of an employee-employer relationship.

This however, is correct. I believe the cause is counterintuitive. Workers simply have more choice today.

For the last five years (excluding a brief hiccup during the worst of COVID lockdowns) demand for workers has outstripped supply. Low earners can choose between ultra-flexible gig work (Uber, etc) or endless less flexible options. Knowledge workers/tech have enjoyed a hot market where recruiters largely come to them once. The result of this? Average tenure at companies is decreasing. There is always a better opportunity around the corner. Why work hard at your current role for a 10% raise (at best) when you can focus on improving your interview skills and get a 30% raise at the next company?

Young people aren't "quiet quitting", they're just no longer subject to the Stockholm syndrome workers have exhibited over the last 20 years. They realize that maximizing their income means gaining 18 months of experience and moving on. If companies want to get 100% effort out of their employees, they should make sure that internal opportunities are as good as, if not better than, external opportunities.

This is a great idea executed very poorly. I would love to see a larger sample size of AI vs Fiverr with a wider range of prompts. Graphs are difficult for current models and that was already well understood.

A new technology is developed with the potential to make you 100x more efficient at your job. Today, a creative artist can only contribute to a project through a narrow slice. Tomorrow, the same creative artist can single-handedly orchestrate an entire project.

Have you ever interviewed with Meta? They are _the_ FAANG company that places the highest weighting on leetcode problems.

SIMs were/are also issued by carriers? You have to go through carriers either way. You're using their network.

Amazon should just own this mistake. They are already finding it incredibly hard to recruit and attract top talent. Perhaps the situation is slightly improved with the recent cooldown in the economy. I wonder how much this negative PR costs their recruiting efforts when compared to the cost of paying up the erroneous bonuses.

A less cynical take: this is a consequence of Elon's profile. He has 100M followers and is one of the most "interesting" people on Earth. Tesla is an extension of Elon and is viewed as the impetus for ushering in a new age of electric vehicles. Of course there will be more interest and scrutiny.

Uber Eats has to build a model that works worldwide, including in the US, Canada, UK, EU, etc. where unemployment rates are relatively low. I don’t think same hour delivery will ever be long-term sustainable in a country with low unemployment.

Emerging economies are a different story. Unemployment is usually high so there’s an abundance of workers to power the logistics behind these super apps.

Self driving cars are on the road. Any two people on Earth are able to trustlessly transmit value between them using Bitcoin. You seem cynical.

Yes.

I use it, am paying for it, and wouldn't want to code without it.

Alternative view: this is a pre-pre-seed and fills a much needed gap in the VC ecosystem. Well-connected founders raise very early money from "friends and family". Most people don't have wealthy friends and family, so getting the first money in to kickstart the venture is difficult.

> Joe ask the "dumb questions." The questions you would ask if you as a laymen were sitting in front of a Nobel Prize winning scientist

This is exactly why he’s so popular. Most people are laymen. Joe doesn’t have a research team coming up with optimal talking points. He’s a regular minded guy asking regular questions. He achieves depth through the sheer length of interviews.

>To digress. I want a clone, more than anything. It's only thing I'd pay more than $100k+ for aside from housing.

Can you explain why you want a clone? Genetically identical twins can and do end up having very different lives and personalities.

This seems a bit unfair - the article is packed with useful information. Arthur is nailing their job. Useful content that happens to make you aware of Scanbot, without being too in your face.

Do you run into any difficulties with Lockdown Mode enabled regularly?

De-extinction doesn't necessarily mean they will release animals back into the wild. Presumably a portion of animal behaviour is learned and passed down from the previous generation. Animals produced by de-extinction will be lacking these behaviours and perhaps best off in captivity.

I think it's great. Too often, when a larger company acquires a smaller one, they try to erase all history and culture of the smaller company. Obviously, there is still a self-congratulatory tone to this press release, but I think it's nice that they're recognizing Shazam's past.

This would presumably only be useful if expressed in the skin?

It's a testament to the immediate applications of AI/ML. In the past, supercomputers were mainly a tool for research, with expected returns from that research in the order of years to decades. Now, as demonstrated by how large language models are generative image models are scaling, there's a reasonable expectation of short term returns from investment.

Fair point. I was assuming the worst.

Why does that matter?

The title is very misleading. Google has invested in web3/blockchain companies that have raised ~$1.5B in total. Google's contribution to that total fundraise is likely _much_ smaller.

Remote work is commonplace now. Perhaps in the next few years we’ll test the theory that jobs and house prices are linked. It’s now possible (for tech workers at least) to work from almost anywhere for decent wages.

My hunch is that the housing crisis is simple supply and demand. People want to live in cities because of the better access to entertainment, amenities, and services. There aren’t enough houses to fill that demand. There’s no great city on earth that has a glut of housing. If there were, people would flock to that city to fill the housing. I think that’s the very nature of a city. In some sense, the more people that want to live in a city, the higher the quality of the city. That’s also directly correlated with housing cost, sadly.

You're going to be proven wrong in weeks to months. Just a couple of years ago the consensus was that DALL-E/Imagen/Stable Diffusion quality image generation was impossible. Now it's very real and quality is improving every month.

When was housing not an investment? Throughout history, people have always wanted to drive up the value of their land and properties. There are still plenty of places in the US/Canada/UK where housing is cheap. The problem is that nobody wants to live in those areas.

I’m excited for the coming race to improve and miniaturise this tech. Apple has a great track record of making ML models light enough to run locally. There will come a day when photorealistic image generation can run on an iPhone.

I've never met a manager that has expectations for email replies on weekends or frankly <24hr replies during the working week. At all the places I've worked (startups and FAANG), emails are treated as a slow communication medium.

I think chat/Slack should be a bigger focus as it's a greater source of anxiety. The issue with messaging is that it's a mixed stream of both sync and async.

Sync: "Hey - can we have a quick chat?" - requires ~immediate response

Async: "When you get a chance can you update XYZ, not urgent" - doesn't require a response

Distinguishing messages as urgent vs. non-urgent (no notification) _could_ alleviate some of this issue, but it's ultimately a culture issue, not a tech issue. Half of the people I've worked with won't even use threads in Slack. Good luck getting people to use different message levels.

Machine Learning:

- Image generation

- Multi-modal AI: (one algorithm that can process text, video, images, audio, etc)

Genomics

- liquid biopsy / cfDNA: early cancer detection from a blood test, other diagnostics

- fast (<1 hr) cheap (<$20) sequencing

Machine learning + biology

- AlphaFold++

That is only true because of our current tools and capabilities. With improved manufacturing techniques and AlphaFold++ I think biologics will dominate. Even still, there are ~2000 approved biologics [0].

[0] - https://purplebooksearch.fda.gov/advanced-search