Ten new ideas a day

Ten new ideas a day should include all new information, new crazy ideas, reflections, and inspirations

Wednesday, November 1st, 2017

Thursday, November 2nd, 2017

Fri-Sun, November 3rd-5th, 2017

Monday, November 6th, 2017

Tuesday, November 7th, 2017

Wednesday, November 1st, 2017

  1. Work with the broadcast network to crowdfund a women’s professional baseball league, auction off the amount of commercial airtime, and let the audience choose what to show
  2. Apply vision, active listening, feedback (aka flattery) to relationships
  1. Vision. Discuss long-term personal and professional goals early, and revise regularly. Lack of alignment and mutual support between couples can derail entire life strategies. Be clear about what support will be required and expected to achieve these goals and where it will come from.
  2. Active listening. The most common complaint from women is that they don’t feel heard; from men, that they don’t feel appreciated. For the first, introduce regular sit-down listening sessions (monthly is good, quarterly a minimum). Dedicated, face-to-face, concentrated, unspeaking, listening to everything your partner needs to say. Then repeat back what you heard. Adjust as necessary. Then switch. Sound awkward? Only until it becomes relationship-saving.
  3. Feedback (aka flattery). Everyone appreciates feedback, but it is increasingly rare, both at home and at work. The rule usually recommended is 5 to 1: Five positive comments for every “constructive” one. Turns out humans love to be admired, especially by their intimate partners. So dial up the volume and tell your spouse how gorgeous, brilliant, caring, and supportive they are. Reward the positive and watch it grow. Sound artificial? Only until you see the light ignite in their eyes.
  1. Back office AI / semantic web for standard procedures
  2. Good product manager/Bad product manager is very, very good
  1. They don’t take all the product team minutes, they don’t project manage the various functions, they are not gophers for engineering. They are not part of the product team; they manage the product team. Engineering teams don’t consider Good Product Managers a “marketing resource.” Good product managers are the marketing counterpart of the engineering manager. Good product managers crisply define the target, the “what” (as opposed to the how) and manage the delivery of the “what.” Bad product managers feel best about themselves when they figure out “how”. Good product managers communicate crisply to engineering in writing as well as verbally. Good product managers don’t give direction informally. Good product managers gather information informally.
  2. Good product managers focus the team on revenue and customers. Bad product managers focus team on how many features Microsoft is building. Good product managers define good products that can be executed with a strong effort. Bad product managers define good products that can’t be executed or let engineering build whatever they want (i.e. solve the hardest problem).
  1. MagicBus is a bus planning and dispatching platform that is designed to connect and power future self-driving buses
  2. Watch out for sports partnerships with DirectTV on flights
  3. This was really weird, after two weeks of no sexual arousal, as soon as I started watching TV, I felt stimulated. After a couple of commercials, the close up shots of women in these PG13 commercials, suitable for airtime between innings of the 7th World Series game, made me aware
  4. Ten new ideas a day should include all new information, new crazy ideas, reflections, and inspirations
  5. Toys”R”Us needs to figure out the differentiator against online-retailers. Why would anyone want to go to a physical store, with kids?
  6. Climbing: don’t fight it. Sometimes going with the gravity makes sense. Shifting weight and moving the knees first are a good for static moves.

Thursday, November 2nd, 2017

  1. Part of the struggles of early stage companies, as the team expands, is the lack of a product owner. The CEO and cofounders have been product managers and designers. Once additional engineers get involved, the communication of the product vision and how each feature, an improvement, or an experiment, becomes vital. This transition, and the stress on clear communication,  is hard and oft overlooked
  2. Stewart Brand circulated buttons to raise push NASA to take and publish a photo of the whole earth
  3. One of the themes of “As We May Think”, by Dr. Vannevar Bush, is that information access and exchange are bottlenecks to innovation and discovery
  1. Mendel's concept of the laws of genetics was lost to the world for a generation because his publication did not reach the few who were capable of grasping and extending it; and this sort of catastrophe is undoubtedly being repeated all about us, as truly significant attainments become lost in the mass of the inconsequential.
  2. The prime action of use is selection, and here we are halting indeed. There may be millions of fine thoughts, and the account of the experience on which they are based, all encased within stone walls of acceptable architectural form; but if the scholar can get at only one a week by diligent search, his syntheses are not likely to keep up with the current scene.
  3. Our ineptitude in getting at the record is largely caused by the artificiality of systems of indexing. When data of any sort are placed in storage, they are filed alphabetically or numerically, and information is found (when it is) by tracing it down from subclass to subclass. It can be in only one place, unless duplicates are used; one has to have rules as to which path will locate it, and the rules are cumbersome. Having found one item, moreover, one has to emerge from the system and re-enter on a new path.
  1. Human and hologram human collaboration for laboratory work
  1. Dan Taeyoung is setting up a virtual library for the cybernetics conference, which is the inspiration
  1. Dispatch system for hospital beds, rearrange and shuttle patients to different departments
  2. On organizing and indexing information in an associative-linking structure, Doug Engelbart observed:
  1. I found rather quickly that the job of extracting, re arranging, editing, and copying new statements into the cards which were to represent the current set of product statements in each grouping was rather tedious.
  2. Statements very often had implicit linkages to other statements in the same group, and it would have been very useful to keep track of these associations.
  3. It would actually seem quite feasible to develop a unit record system around cards and mechanical sorting, with automatic trail establishment and trail-following facility, and with associated means for selective copying or data transfer, that would enable development of some very powerful methodology for everyday intellectual work.
  1. Engelbart believed in computer as an augmentation to human intellect; today, we believe Artificial Intelligence can be an augmentation to human intellect. Largely, due to the success of deep learning neural network. This also causes fear of the rise of AI
  2. Perceptron is an algorithm for learning a binary classifier: a function that maps its input  (a real-valued vector) to an output value (a single binary value)
  3. These are concepts I need to look up: Frank Rosenblatt vs. Marvin Minsky; deep learning vs specialized learning
  1. The Quest for Artificial Intelligence by Nils Nilsson (2010)
  2. On the Origin of Deep Learning by Haohan Wang and Bhiksha Raj (2017)
  3. Symbolic vs. Connectionist by Marvin Minsky (1990)
  1. Neural networks’ math: Sigmoid vs ReLU: the constant gradient of ReLUs and sparsity results in faster learning
  1. Definition of a ReLU is , where ;  is weight,  is bias
  2. Constant gradient refers to is when , as  gets larger,  is less influential
  3. Sparsity refers to when ,  is not represented, whereas Sigmoid tends to generate some non-zero value

Fri-Sun, November 3rd-5th, 2017

I went camping and bouldering at Bishop, CA. Without internet access, this exercise proved to be very difficult. I came up with a few ideas in three days.

  1. Airbag for climbing attires
  2. Airline that provides THC pills
  3. AR overlay of boulders
  4. I meditate because it made me more compassionate; different from empathy, where I could understand in theory how and what another being is going through, but compassion gives me a glimpse of that emotional state

Monday, November 6th, 2017

I couldn’t get to ten today.

  1. Gradient descent, how neural networks learn? shows that a neural network learns from finding the local minima
  2. Fall into gravity, don’t fight it

Tuesday, November 7th, 2017

  1. Manifestation is the symptom; root cause is the problem
  2. Product management is a very important aspect of a startup that requires founders to grow with
  3. Founders who wear their ideas/projects as their identities are ones that really live and breathe the product and vision
  4. Service is based on will and experience—Gandhi
  5. 13 Questions to Ask Before Getting Married: it's important to establish and reestablish sexual exclusivity, religion, financial recklessness/tolerance
  6. Material/decay audit and modeling to aid construction estimate
  1. Construction design sometimes fails because we design for material conditions we presume
  1. There is no hard truths. I've approached standards and research results with a grain of salt
  2. On being CEOs—The four [successful traits] were:
  1. reaching out to stakeholders;
  2. being highly adaptable to change;
  3. being reliable and predictable rather than showing exceptional, and perhaps not repeatable, performance;
  4. and making fast decisions with conviction, if not necessarily perfect ones
  1. AI to train and guide young CEOs
  2. Watch this, What is backpropagation and what is it actually doing?