okabat
Played through it once and was confused by why a bomb exploded. Can somebody help me interpret? I'm especially having trouble figuring out what the dashes are in this end-of-game explainer text. Take the space diagonally top-right from the one flagged bomb (the asterix). This had a visible "1" on the board, but is marked as a dash here.
Made a mine because the user clicked it when there was a safe space at 6, 2. Can't be a mine because
011--1?????????
12*101?????????
??2211?????????
???????????????
[6 rows clipped]
+ 29 mines left to find becomes
011--1-????????
12*101-????????
??2211*????????
????---????????
[6 rows clipped]
+ 28 mines left to find)Code review is training. Do you consider training one of the primary purposes of code review? In my experience, different teams are highly variable on this. But avoiding bike shedding, explaining context and knowledge without dictating direction, and asking good questions shares knowledge and makes everyone improve.
Postmortems are training. Learning what went wrong and what could be done better next time is close to the definition of training.
Performance / peer reviews (when done well - a rarity) are training - they are a time to step back and think at a higher level about where there's room for improvement and what to concentrate on. Andy Grove explicitly talks about performance reviews as training: "giving reviews is the single most important form of task-relevant feedback"
If your definition of training only includes classrooms, learning budgets, conferences, etc than I encourage you to broaden your view as to what constitutes training. If these venues help you learn, then I hope your organization supports you access them. But don't mistake their absence or their low prominence for a lack of training with an organization
I'm guessing I should: 1) Go into my Okta dev account, create a 2nd "okta app" (SP instance) pointing at my hosted application, which should create a new entity ID 2) Start an IDP-initiated login attempt from this 2nd okta app, and verify I get an audience mismatch error
I recently joined a seed-stage startup solving a business problem via audio analysis in the manner I described above. I'm not spending much time doing ML yet, but I'm banking on my belief that we're solving a valuable problem (customers want to buy our hacky MVP) and that ML can and will be needed to scale our solution. By deeply understanding the customer as a first step, I think the ML systems we build will be business critical and enduring. Time will tell
Makes the very clever comparison to medicine and other fields that used to be 100% male.
"Nobody has any real policy disagreements. Everyone can just agree that men and women are equal, that they both have the same rights, that nobody should face harassment or discrimination. We can relax the Permanent State Of Emergency around too few women in tech, and admit that women have the right to go into whatever field they want, and that if they want to go off and be 80% of veterinarians and 74% of forensic scientists, those careers seem good too. We can appreciate the contributions of existing women in tech, make sure the door is open for any new ones who want to join, and start treating each other as human beings again."
I have long-term hopes that decentralized currencies let us build some interesting products, but there's massive volatility against fiat when holding crypto, which makes it hard most people to want to use these auxiliary services
Candidates for product management, more than any of the other functions, are often strong but a wrong fit. PMs at B2B companies do very different tasks than PMs at consumer web companies. There are a lot of skills that go into product management, and different companies have very different opinions of their relative value. Look at the component skills: customer empathy, process refinement / project management, technical understanding, data manipulation skills, strategy/business, lateral/upwards management, and vision setting. For leaders, there's also org design and hiring. Almost nobody is super strong at all of these. Where are you strong and where are you weaker? What do the companies you're hiring for actually need?
I'd recommend getting tighter on your criteria for your next job. If you ruthlessly self evaluate, you'll probably realize there are only a few companies out there that can perfectly leverage your experience, so think about what you want to learn and consider lowering your "level" expectations (if you're looking at director positions, look at first-level manager or senior IC instead) to broaden your experience. 15 phone interviews to 7 onsites is solid, but 50 applications to 15 phone screens is low. Most companies are going to be very cautious when hiring external senior PM managers, so consider a stronger emphasis on networking to evaluate fit and the company's needs, so you can tailor your interview to demonstrate the right skills.
You said the feedback is often "interview for a different role". Did you interview for those other roles? What's different about those roles from the one you want?
Think there's strong evidence their whistleblower protections are lacking. Think it's clear the NSA is trying desperately to damage control the situation. While it's possible Snowden attempted to go through the proper channels (and I'd love to see evidence of this), the documents linked in this article only show him testing the waters.
The fact Snowden doesn't want to respond is a pretty good sign this isn't a slam dunk for the anti-spying contingent.
"[Snowden] believes the NSA is still playing games with selective releases, and [he] therefore chooses not to participate in this effort," Wizner said. "He doesn't trust that the intelligence community will operate in good faith."
I'd want my cofounder to think through how somebody with legal leverage over our company would act. You should want that too.
If anybody is looking for further reading on this subject, I enjoyed "Financial Statements" earlier this year(http://www.amazon.com/Financial-Statements-Step---Step-Under...). Quick and straightforward, it starts with the vocabulary and explains the major financial statements (Income, Cash Flow, Balance). The majority of the book follows a company from inception to dividend disbursement, explaining how various business activities (e.g. signing a lease) hit the financial statements.
The best trained wine tasters can use deductive reasoning to narrow down the wine's identity, but a significant portion seems to be visual. Arguably, they are only effective at this because wine taxonomy is defined by visual characteristics. In a double blind taste test, I highly doubt it's possible to precisely identify the wine.