Just wanted to share a recent episode of EconTalk podcast by Russell Roberts. This one was with NYU Professor Gary Marcus on artificial intelligence and big data. I found it quite refreshing in its sensible skepticism towards “AI is evil” paranoia that was picked up by the media recently.
“How Google Works” by Eric Schmidt, despite being quite self-congratulatory and maybe even prone to confirmation bias, is full of inspirational ideas and bids of practical wisdom to learn from. I took a few (ok, quite a few) notes on smart creatives, decision making, hiring, innovation, strategy, career, management and even managing email.
On smart creatives:
“And who, exactly, is this smart creative? A smart creative has deep technical knowledge in how to use the tools of her trade and plenty of hands-on experience. In our industry, that means she is most likely a computer scientist, or at least understands the tenets and structure of the systems behind the magic you see on your screens every day. But in other industries she may be a doctor, designer, scientist, filmmaker, engineer, chef, or mathematician. She is an expert in doing. She doesn’t just design concepts, she builds prototypes. She is analytically smart. She is comfortable with data and can use it to make decisions. She also understands its fallacies and is wary of endless analysis. Let data decide, she believes, but don’t let it take over.
She is business smart. She sees a direct line from technical expertise to product excellence to business success, and understands the value of all three. She is competitive smart. Her stock-in-trade starts with innovation, but it also includes a lot of work. She is driven to be great, and that doesn’t happen 9-to-5. She is user smart. No matter the industry, she understands her “get it right the next time around. She is self-directed creative. She doesn’t wait to be told what to do and sometimes ignores direction if she doesn’t agree with it. She takes action based on her own initiative, which is considerable.
She is open creative. She freely collaborates, and judges ideas and analyses on their merits and not their provenance. If she were into needlepoint, she would sew a pillow that said, “If I give you a penny, then you’re a penny richer and I’m a penny poorer, but if I give you an idea, then you will have a new idea but I’ll have it too.” Then she would figure out a way to make the pillow fly around the room and shoot lasers.
She is thorough creative. She is always on and can recite the details, not because she studies and memorizes, but because she knows them. They are her details. She is communicative creative. She is funny and expresses herself with flair and even charisma, either one-to-one or one-to-many.”
“Hippopotamuses are among the deadliest animals, faster than you think and capable of crushing (or biting in half) any enemy in their path. Hippos are dangerous in companies too, where they take the form of the Highest-Paid Person’s Opinion. When it comes to the quality of decision-making, pay level is intrinsically irrelevant and experience is valuable only if it is used to frame a winning argument. Unfortunately, in most companies experience is the winning argument. We call these places “tenurocracies,” because power derives from tenure, not merit. It reminds us of our favorite quote from Jim Barksdale, erstwhile CEO of Netscape: “If we have data, let’s look at data. If all we have are opinions, let’s go with mine.”
When you stop listening to the hippos, you start creating a meritocracy, which our colleague Shona Brown concisely describes as a place where “it is the quality of the idea that matters, not who suggests it.” Sounds easy, but of course it isn’t. Creating a meritocracy requires equal participation by both the hippo, who could rule the day by fiat, and the brave smart creative, who risks getting trampled as she stands up for quality and merit.”
On technical insights as a driver of innovation:
“Bet on technical insights, not market research. Product leaders create product plans, but those product plans often (usually!) lack the most important component: What is the technical insight upon which those new features, products, or platforms will be built? A technical insight is a new way of applying technology or design that either drives down the cost or increases the functions and usability of the product by a significant factor. The result is something that is better than the competition in a fundamental way. The improvement is often obvious; it doesn’t take a lot of marketing for customers to figure out that this product is different from everything else.
For example, at that time Google was experimenting in applying some of our expertise from online advertising to other advertising markets, including print, radio, and TV. These were clever efforts, supported by smart people, but they lacked that fundamental technical insight that would shift the cost-performance curve non-incrementally and provide significant differentiation. All three ultimately failed. And when we look back at other Google products that didn’t make it (iGoogle, Desktop, Notebook, Sidewiki, Knol, Health, even the popular Reader), they all either lacked underlying technical insights from the outset, or the insights upon which they were based became dated as the Internet evolved.”
Free, open to everyone and highly educational Stanford class “How to Start a Startup” has just ended. But all the materials, including talks by star speakers, such as Paul Graham, Peter Thiel, Ben Horowitz, Sam Altman, Brian Chesky and others are going to be available online. For quick reference, here is the complete collection of all course materials:
|9/23/14||Sam Altman, President, Y Combinator
Dustin Moskovitz, Cofounder, Facebook, Cofounder, Asana, Cofounder, Good Ventures
|Welcome, and Ideas, Products, Teams and Execution Part I
Why to Start a Startup
|9/25/14||Sam Altman, President, Y Combinator||Ideas, Products, Teams and Execution Part II|
|9/30/14||Paul Graham, Founder, Y Combinator||Before the Startup|
|10/2/14||Adora Cheung, Founder, Homejoy||Building Product, Talking to Users, and Growing|
|10/7/14||Peter Thiel, Founder, Paypal, Founder, Palantir, and Founder, Founders Fund||Competition is For Losers|
There was a mention in the “The Hard Thing About Hard Things” of “Good Product Manager – Bad Product Manager” document written by Ben Horowitz himself during his tenure as Opsware CEO. So I’ve decided to look it up. In my experience as a brand manager in consumer goods companies, characteristics and behaviors that make a good PM in tech are very consistent with those that make a good brand manager in CPG or even a general manager in general.
Here is the full version found on khoslaventures.com worth looking at:
One of the “hottest” FinTech startups Wealthfront also offers a career advice. Some time ago they have published a “Silicon Valley Career Guide” and recently blogged about “107 Career Launching Companies“. Both worth a read if it is of interest to you. Posting both here for your convenience.
This an article to forward to all those who share a simplistic philosophies of “Build It and They Will Come” or “Money does not matter, only great product and getting a lot of users matter”.
“This Startup Had Over 5 Million Users And A Great Product. Then It Folded.” on Fast Company:
Consider Springpad, a startup founded in 2008 and once considered an Evernote rival. That wasn’t enough. The company failed to develop a monetization strategy–and despite their best efforts (and rumored acquisitions by Amazon and Google), things just didn’t turn around in time.
“We built a heck of a product. But we didn’t build the business.”
“We ran out of money, that’s basically the end of the story. It was a timing problem.”
Each new invention requires the viability of previous inventions to keep going. There is no communication between machines without extruded copper nerves of electricity. There is no electricity without mining veins of coal or uranium, or damming rivers, or even mining precious metals to make solar panels.
On evolution of the scientific method:
The classic double-blind experiment, for instance, in which neither the subject nor the tester is aware of what treatment is being given, was not invented until the 1950s. The placebo was not used in practice until the 1930s. It is hard to imagine science today without these methods.
The cybernetician Heinz von Foerster called this approach the Ethical Imperative, and he put it this way: “Always act to increase the number of choices.” The way we can use technologies to increase choices for others is by encouraging science, innovation, education, literacies, and pluralism. In my own experience this principle has never failed: In any game, increase your options.
On sacrifices as a form of investment:
As Suketu Mehta, author of Maximum City (about Mumbai), says, “Why would anyone leave a brick house in the village with its two mango trees and its view of small hills in the East to come here?” Then he answers: “So that someday the eldest son can buy two rooms in Mira Road, at the northern edges of the city. And the younger one can move beyond that, to New Jersey. Discomfort is an investment.
On using older technology as a statement:
Who would have guessed anyone would burn candles when lightbulbs are so cheap? But burning candles is now a mark of luxuriant uselessness. Some of our hardest-working technology today will achieve beautiful uselessness in the future. Perhaps a hundred years from now people will carry around “phones” simply because they like to carry things, even though they may be connected to the net by something they wear.
I have been struggling to figure out the optimal way to inform myself about the news for quite a while. There is a million of issues here: negativity, irrelevance, lack of proper filters, biased views of certain journalists/newspapers and noise, noise, noise. So, it is not easy at all to maintain a conscious sensible information diet without completely stopping reading any news. But in this case it is not easy to remain a well-rounded and well-informed individual with own vision and interpretation of world’s events and trends.
Long story short. I recently found couple of startups that try to tackle this issue and make it at least a little bit easier to get through all the noise.
In addition to strictly curated collection of blogs I read with Feedly (~60%, the main source of content and probably, the best alternative to discontinued Google Reader) and to imperfect social filters, such as Facebook (~20%) here is what I have been experimenting with recently (~20%):
1. Quartz.com daily briefs to stay in the loop (email, no RSS, unfortunately)
It is a curated selection of headlines sent each morning with links to longer articles. I like that headlines are formulated to be informative, not to seduce you to click and read full article. It is mostly focused on business and key events around the globe.
2. Vox.com “understand the news” section to research a given topic
I use it occasionally (rarely?) to get a quick first, but superficial understanding of a given issue that I know nothing of, but do not want to spend a ton of time researching. I like that Vox strives to be impartial.
3. Tweeted times for a couple of headlines popular among my Twitter friends
Daily newspapers are populated with content based on links posted by your Twitter friends and friends of friends. The more people post a certain link the higher it will rank. Assuming that you follow people with similar interests and/or whose judgment you trust, it should be relevant.
4. 10 things to know by BI for tech news (in Feedly)
I usually just skim the above from time to time, certainly not daily. Even this is too much and I would love most of these services to have “top 10 weekly” editions or some custom way to limit the number of items. I also wish most of them went for shorter articles with more data (think The Economist Facebook charts and infographics). New Yorker style long-reads are obsolete in most cases these days, at least as a main type.
Would love to hear your thoughts! How do you stay informed of the most important and relevant stories in the shortest time possible?
PS Related to this. An interesting Quora thread about the reasons why most personalized news startups failed.
If you missed the buzz about Spritz startup this week, let me tell you about it. The guys behind it developed an interesting technology that might help us all read faster without an extra effort. Key idea is to eliminate the unnecessary eye movement my properly positioning words. Unfortunately, there is nothing to download so far, but I think a lot of cool apps will be developed soon.
Squirt.io – browser application.
Here is how it works:
You might remember my recent post about “Moonwalking with Einstein” book about memory and mnemonics.
I first read about it in The Guardian article “How I learned a language in 22 hours” by the book author, Joshua Foer. Although, the title is somewhat misleading, the approach is very interesting. So, what is so special about Memrise? They have an interesting learning model. Primarily, the focus is on languages, but there is a whole range of secondary courses, ranging from “How to say I love you in 100 languages” to HTML5.
The first principle: spaced repetition. The words you are asked to remember are spaced in time in a precise manner with intervals calculated based on your past performance. By the way, the same principle is employed by simple app Anki which I once briefly mentioned in my post about GMAT.
The second principle: mnemonic. You are usually shown a picture or an idea that helps you remember a given word using associations. These so-called mems are added by members of community in the best crowd-sourcing traditions. The most voted-up are displayed.
And of course, they also use gamification, who does not?
Overall, it appears to be an interesting tool. However, it remains to be seen whether it is really a good idea to invest one’s time in it without a firm intention to actually learn a language. But learning to read a Chinese menu sounds like a fun thing to try anyway, all serious goals aside.