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.
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.
Cumberland also happens to be where the Chesapeake and Ohio canal tow path terminates, and is a really nice 168 mile mostly off road dirt bike ride all the way to Washington DC. It has been extended all the way to Pittsburgh. So if you were into biking, Cumberland could be kind of a cool place to hang out.
Useful context:
Open ai had 11 cofounders.
Schulman was one of them.
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.
It’s been a while since we had sf offices, but back when we did sf had a pretty aggressive additional payroll tax and gross receipts taxes.
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?
I think support is going to get worse before it gets better.
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.
Additionally, you could hire other people to read them, dividing the task into whatever manageable chunks or even having multiple people read the same parts for agreement.
In the days before good software transcription I saved a ton of time I grad school by splitting up interviews and using mechanical Turk or up work ( can’t remember which one, to transcribe 1 minute snippets, and then took another pass)
I like this idea, but any sophisticated attacker will ignore the Bluetooth names and just pull vendors off the MAC addresses. Though it would be interesting if you can define the Bluetooth MAC addressees in software to match your fake names :)