storgendibal

Makes sense. Also remember him saying something like, the founder is always right, even when everyone else thinks you're crazy. Couldn't find the clip of him saying this, so hopefully not hallucinating it.

"as do the founders of AirBnB."

This resonates but I can't put my finger on why for the founders of AirBnB. Do you have examples? Obviously true for Elon.

It seems like the previous generation of founders were always paranoid that their companies could/would fail in an instant, which led to the management styles of Andy Grove, Gates, Jobs etc (and I'd argue Larry and Sergey as well). That mindset meant they knew they couldn't afford to be surrounded by yes man and their egos were secure enough when challenged by their underlings.

Despite the intensity of all three, you hear stories of how Gates only respected people who could credibly argue back against him, Jobs empowered his team, etc. The current generation of founders seem to believe their own mythical BS to such an extent that anyone who disagrees with them is culled from the organization, resulting in a natural selection effect of only the yes-men survive.

Superintelligence is not around the corner. OpenAI knows this and is trying to become a hyperscaler / Mag7 company with the foothold they've established and the capital that they've raised.

+1 to this. I've often wondered why OpenAI is exploring so many different product ideas if they think AGI/ASI is less than a handful of years away. If you truly believe that, you would put all your resources behind that to increase the probability / pull-in the timelines even more. However, if you internally realized that AGI/ASI is much farther away, but that there is a technology overhang with lots of products possible on existing LLM tech, then you would build up a large applications effort with ambitions to join the Mag7.

The interest and actions are there now: Hiring Fidji Simo to run "applications" strongly indicates a move to an ad-based business model. Fidji's meteoric rise at Facebook was because she helped land the pivot to the monster business that is mobile ads on Facebook, and she was supposedly tapped as Instacart's CEO because their business potential was on ads for CPGs, more than it was on skimming delivery fees and marked up groceries.

A legit Robotech VR game with the original characters.

I've been in this situation a few times and looking back at my career, I could argue I made the "wrong" choices, but they were definitely the "right" choices for me at the time. The way I think about it these days:

1. The space and how exciting it is (AI, Blockchain, etc)

2. My personal growth (learning, but also compensation & rate of career progression)

3. The people (especially who is my direct manager)

Ideally, you can get all three in a job! However, when I can't, then every single time, #3 has contributed more towards my job satisfaction than #1 and #2. However, over-indexing on #3 alone is also sub-optimal.

Even "boring" spaces often have hard problems and if you dig into the problems, then the work can become intellectually interesting. It may not be sexy or shiny, but you need to decide how much you want to index on that. If you are getting intellectual fulfillment in your day-to-day, better personal growth (including compensation growth), and work with & for good people, then that's a pretty good deal. Don't undervalue doubling your salary. It can provide optionality down the road to work on other things, like folks have said below.

Early in my career I worked on what is seemingly boring stuff but the internal engineering problems were surprisingly complex and therefore interesting, even though my "resume bullet" for that stint may appear boring to a reader. Also, the people I worked with were just the nicest and I couldn't imagine leaving that team.

I still look back on that period as the happiest time of my professional life, even though I now make many times the compensation and work on some really externally "sexy" stuff. Nostalgia might be playing into that, but I do remember being pretty happy on a day-to-day basis.

The counterpoint is that I did eventually leave that team and that company because my career was not moving fast enough and I would not have hit the financial goals I had for my family's wellbeing.

That was just my school, 5 years out of graduation. That might change in another 5 years as bankers get to MD levels, and then have a client and relationship roster that they bring to the buy-side. There are also people who switched to Tier 3 or Tier 4 buyside firms, but then don't make the kind of money you make at a top PE or HF.

Also, I did not go to Harvard, which typically sends more people to the buy-side then the other top-tier programs (but is somewhat self-selection, because HBS tends to accept a lot of pre-MBA buy-side people from top firms)

It's actually really hard to go from sell-side to buy-side, post-MBA. I went to a top-5 business school in the US and everyone recruiting for banking wanted to eventually move to the buy-side. I think out of a group of ~100, <5 might have made it into a decent buy-side job. Top private equity funds put their best analysts through business school and then just hire them back. Breaking in at a post-MBA level is really hard. You really have to know "the path" early in college and get into a top bulge bracket right after college graduation, put in your two years of 100 hour weeks, and then get on recruiters' radars for PE and HF.

Exactly this. I have family (through marriage) who grew up in the New York / New Jersey area and went to nice public schools. Many people they went to high school with ended up in finance on the buy-side. They knew the path from high school onwards: Get into an Ivy League for college, major in CS, EE, or Math (but with no intention of working in those areas) get recruited by a top 3 bulge bracket (MS, JP, GS) in either M&A or LevFin, put in your two years, network with the people a year or two ahead of you in college who then went onto private equity or hedge funds, get an interview there, make bank.

Yes, but then why invest in an actively managed fund at all, as an LP? whole premise is that fund managers can beat an index such as the S&P500 or total market etc.

AirTable.

I wonder how many other products in the enterprise space could be built by startups, by simply doing a much, much better job than incumbents, despite incumbent moats and lock-in. On the other hand, there are also examples of poor products that attempted to "solve" things like word processing better than MS Word or Google Docs and yet are simply much worse products than the incumbents.

I think in the video conferencing space, all existing solutions were simply bad. Video conferencing has been bad everywhere I have worked and we just shrug our shoulders and joke that someone first needs to build strong AI, and only then will video conferencing be solved. Zoom decided to do something about it top-to-bottom, end-to-end. Very inspiring founder and company.

Office on the web also has the same collaboration features now, and has had for years. Google's real time collaboration is slightly better, but I've worked in organizations that use Office and organizations that use Google. gSuite offline mode makes for many unproductive business flights (ie it simply does not work properly). Large spreadsheets choke up Sheets as you mention.

Did you know that most enterprises who had "tried" gSuite actually switched back to Office? Office is very much not under threat. By many estimates, Office revenue is over 20X that of gSuite and growing. I agree with you that a lot of young people grow up with gSuite because Google has done a fantastic job getting gSuite into schools and colleges. But when these young people go into corporate America (which is a lot bigger than just Silicon Valley), they quickly have reality handed to them, which is that most real work is done in Office.

https://www.cbronline.com/news/g-suite-vs-office-365 https://www.geekwire.com/2018/google-says-recording-1b-per-q...

This is an interesting point. The first several years of my career, I was an engineer working on low level operating system stuff. I later switched to product and my technical chops really helped me earlier in my product career. As I got more senior however, the business, strategy, and product vision components of the PM role became more important and my technical skillset was less "directly" useful. It was more helpful in getting me trust with senior engineers, and therefore transitive trust with executives (because eng directors are often the first people a new exec will turn to to "read" the org in a large company)

Gibson Biddle has some great articles and resources for PMs to develop their careers. http://www.gibsonbiddle.com/

I used OneNote on a Surface Pro 1 for several years, but recently switched over to Goodnotes on an iPad Pro with Apple Pencil. Goodnotes has fewer features than OneNote, but the auto-shape tool is pretty sweet and I actually like the fact that it does not have infinite-sized pages.

I do miss OneNote's OCR, text indexing/search, and seamless cross-platform sync (web, mobile, laptop).

There is a pretty strong power law in effect for the ROI on an MBA depending on the strength of the school. https://gmatclub.com/forum/value-of-a-top-10-mba-213365.html

Ben also said in today's update that the "relative importance decreases over time as things like network effects and business models come to bear". This is another way of putting Marc Andreesen and Steven Sinofski's point that if you have product / market fit, then you can do almost everything wrong and it won't matter. I think Ben gets that the tech and product are the only thing that matters pre-PMF, but post-PMF, all the grungy business stuff becomes the high order bit in order to build a business.

I don't disagree. I think a lot of the debate on this thread comes down to free market economics and whether you believe it leads to a global maxima or not.

I think that starts to approach a religious belief, so I don't think I want to get into that debate, but I have yet to see a system that works better than the free-market (plus a reasonable safety net )

I grew up programming and always assumed I'd be a software engineer, without really considering other career paths. After six years of of software engineering (mainly operating systems and cloud infra), I thought it might be valuable to do a breadth-first search for a short period of time, and an MBA seemed a decent route to do that search. In retrospect, I use some of what I learned in bschool in my current job, but largely, the mind expansion was worth it. There are many perspectives and b-school exposed me to a lot more points of view than I had before.

Engineer with an MBA here. My two cents: Back when I was writing code, my worldview was that if engineers ran every company, then the world would simply be a better, more rational place. Because engineering is hard and everything else is easy/squishy/learnable.

During my b-school classes, it dawned on me that things are much more complicated than I had thought. Marketing and sales are very hard, very quantitative, and can make or break a company. Corporate planning from a cost / revenue perspective is super critical. Steering a large organization and navigating personalities and power structures in such a company is difficult and squishy.

Certainly, some MBAs are full of sh but I've also run into plenty of engineers who are full of sh. I think it's hard to stereotype. When I first started business school I thought everyone would be the stereotypical investment banking jerk. Instead, I was pleasantly surprised that most people were fun, very sharp, pleasant, intellectually curious, and they really respected folks with a technical background. Exposure to them broadened my own worldview in a number of different ways. Sure, you don't need an MBA to run a company. But you also don't need a CS degree from MIT to be an awesome engineer.

This is a good point. At the same time, some of the attorneys I've worked with in tech are wicked smart. It would definitely be good for a more representative set of people to represent citizens in congress (imagine that!), but I think the existing people are smart enough to learn what they need to about the areas that they legislate. The question is whether they take the time to learn, which it looks like they don't.

EDIT: I should clarify that I mean the attorneys I've worked with are smart enough and motivated enough to learn about technical / engineering issues, despite not being engineers.

Significantly more for senior quantitative or HFT engineers.

This is spot on! The same goes for so many other companies. When the pie is growing, everyone gets a bigger piece, there is lots of whitespace to move into, mid-level folks can stretch into more senior roles, faster and more effectively than it takes the company to hire external senior people, and so on.

The racial diversity is huge if you're not white. There are parts of the US where I've walked into a Burger King and gotten cold stared by everyone in there.

Indeed :) Although that is often the type of C++ taught here as well, and also used in industry at some top tier tech firms, unfortunately.

Yep, that is true, and I agree. I found that applied to my math classes as well, unfortunately. It was not until I came to the US that I started to find the intellectual wonder in math (versus memorizing stuff). However, I was very fortunate to have some amazing physics teachers in high school in India, who taught from first principles, which was simply amazing.

The rear sensor does not do "even more sophisticated depth mapping". TrueDepth sensor is only on the front. The CPU is not as powerful as anything you get in Desktop PCs. There's an order of magnitude power difference between a mobile SoC and a desktop CPU/GPU combination. If you have doubts about that, try running full Photoshop on a mobile SoC via Windows 10 on ARM. Not sure what "Dream VR" is. Do you mean Daydream?

I agree with all your points except the first two. There is absolutely no reason to teach C before C++. In fact, modern C++ is a very different animal from its C origins, and it's often better to teach the correct C++ idioms first, and then later go into detail on what happens under the hood.

Similarly, C++ is not an OOP language. It's a multi paradigm language, and arguably the generic programming style is better suited to C++ 11 and 14, than the traditional, inheritance heavy OOP style that was in vogue in the 90s.

Already a thing :) Actually, Chicago Booth's MBA program has always been very heavy on statistics and now they have an ML class as well.