bcx
Joined 18 years ago
Joined 18 years ago
Learning should not be done only as a direct path to getting paid.
Learn to create pattern matching and intuition to solve future problems.
When you are 17 it is a good time to understand how the world works so you can build on top of it in the future. If we assume most tech is going to have an LLM as part the stack, a solid basis in how LLMs work is likely to help you in future endeavors the same way a solid basis in how the web works helps you today.
Maybe a 17 year old should learn both. As a small anecdote when I was 17 I learned a lot about load balancers, failover, and building self-healing systems running small hosting company that had to be fault tolerant when I was attending high school. This wasn't at state of the art levels (e.g. I wasn't configuring gigabit routers or global CDNs -- but it was useful pattern matching for future problems)
I currently don't touch any of that tech, but I have working knowledge that still serves me today.
Think long term.
Additionally, there is a strategic reason to be the repository for all code, free, or not which is likely at conflict with reliability goals.
(e.g. they could get rid of their free tier which would improve reliability at the cost of allowing a new competitor to be the repository for all new AI driven code)
The long term strategic benefit of being the home to all code (or most of it) is enormous. They are likely balancing that strategic goal with what is seen as short-term internally as reliability.
1) OpenAI is valued at 300B (as of March 31st) https://openai.com/index/march-funding-updates/
2) OpenAI recently raised 40B from SoftBank and others.
3) Windsurf is getting roughly 1% of OpenAI's valuation.
OpenAI needs to keep moving fast to outpace MS, Google, and others -- and I think we can all agree that agentic coding is a major trend -- that is likely to keep growing really fast -- and super high leverage in that the folks doing the coding are well paid -- and more likely to be early adopters than any other field. (e.g. if openAI wants a fast way to grow beyond $20-$200/month, owning a tool like windsurf is a good move)
Some folks have been speculating the cash/equity split. I'd be confident whatever number they arrived at de-risks things for windsurf, and preserves the right amount of cash on hand for openAI.
Even if OpenAI is burning 10-20B a year, with the recent raise would buy them between 1-2 years, and given the pace of AI development that's a pretty long time.
1) How do you know the new place can’t match the counter offer?
2) why do you think the folks who hired you for less than your current salary would not understand sticking at your current job for 25% more and a role change?
3) if you took the raise/counter and it wasn’t fulfilling would you be willing to take a job paying 30% less 1 year from now? Why or why not?
4) why did you want to work at the other company you just signed and offer letter for?
We’ve lost candidates after their current employer drastically increased their salary. It happens, normally before an offer letter is signed.
It appears that around 2015 the headquarters for make music moved from MN to CO. https://web.archive.org/web/20140703151047/http://www.finale...
This is around the same time that Greg (who wrote the blog post joined Make Music Inc), who also happens to live in Boulder. https://www.linkedin.com/in/gregorydellera/details/experienc...
Previously Greg was president of Alfred.com (https://www.linkedin.com/company/alfred-music-publishing-co-...)
My guess is there was likely some move behind the scenes to boost revenue, and keep the business running initiated by a founder, or board member, which resulted in hiring Greg, relocating the headquarters from MN to CO, and probably also shifted the future of makemusic.
would be an interesting read :)
https://www.linkedin.com/in/gregorydellera/details/experienc...
My estimates could be off by ~10 or so minutes it was a while ago.
Schuman was not the original head of ai alignment / safety he was promoted into it when former leader left for Anthropic.
Not everyone who’s a founder of an nonprofit ai research institute wants to be a leader/manager of a much more complicated organization in a much more complicated environment.
Open Ai was founded a while ago. The degree of their long time success is entirely based on their ability to hire and retain the right talent in the right roles.
I’d imagine this is likely a factor in the decision.
I know for a while they were waiving some of these taxes for companies who set up offices in certain parts of the city. E.g. zendesk got a big tax break for its market street location near the tenderloin.
As for commutes, I’d be pretty curious to know how many folks who work at Twitter actually show up to their offices every day, especially in eng roles. Even with a return to office mandate I can’t imagine this not becoming more hybrid over time (of course I’ve never worked for musk or his managers — but I’d assume that if folks are high output he would not care how often they were in the office).
Even commuting within sf can be kind of a pain it took our folks 50 minutes from both areas in the mission and Menlo Park to get to an office in South Park.
I’d be curious to know:
- how folks who work at X think about this move?
- how much remote work will be allowed?
- tax savings.
- lease savings.
I’d bet getting rid of sf tax nexus was a key piece of the reason.
If you are selling ANY product, customer experience is part of what you are selling. Apple gets this better than practically anyone else.
BUT, as a small business owner you are forced to make decisions about where to allocate your limited resources. In your case (and in mine) customer service likely created word of mouth referrals, retained customers, and future expansion opportunities.
I guarantee you that there are many businesses where folks somehow think customer service is merely a cost center to be eliminated. For the folks who are already in that boat, AI arguably will likely be better than their outsourced callcenters.
When will they swing back to seeing the bigger picture, and realize their business is only as valuable as the customer relationships they build?
From a quick glance the chatbot described in this post it is clearly moving through a dialog tree and not LLM based. The outsourced support agent is likely also just moving through some sort of script. I don't think the chatbot necessarily made the experience much worse than typical AT&T support.
I think the big challenge with promise of AI chatbots (not in this example though), is that somehow you can just replace your entire support team with a bunch of bots, and free up your reactive support team to do other things. We (Olark: https://www.olark.com) have definitely seen this in our customer base and try really hard to walk people back from this perspective, but even then we are going to see more and more unstaffed chat solutions (e.g. every drift bot ever, and most intercoms) before things swing back to some hybrid of AI and humans.
That said, a very simplified version of the way I think about how AI chatbots and what the future of support looks like might help you:
1) Big enterprises (or regional monopolies) who are mostly monopolies selling to consumers, where they have to just be good enough that regulators don't come after them (or sometimes compete on price (AT&T, Comcast/Xfinity, Verizon, power company)), these folks will always offer the cheapest support they can get away with.
2) Companies that still win business with human relationships. These folks will likely over index on AI and provide worse service if they BELIEVE that they are winning business based on some sort of non-relationship based factors.
3) Small businesses with small teams wearing multiple hats all the time, where providing AI support lets them offer a better service than they'd be able to provide (e.g. we now can answer 50% of questions 24/7 instantly). They will over index on AI until it hurts the bottom line.
I still believe human relationships matter, and figuring out how to create hybrid bot / human customer service to enable humans to do their best work is still huge unsolved opportunity.