spotify link to the Japanese Drums Track above : https://open.spotify.com/track/3nrOApaAfsD61XYZ2T4zX6
233 karma · joined August 22, 2012
I am not completely sure what the tone of the comment here is. But I assume the analyst was trying to say the iPod was "Nothing more than a nice feature" for Mac users. The stock price fluctuates a lot depending on what Analysts say, having worked for a couple of post IPO companies - I notice these comments really do make a difference.And especially if you are newly-IPO'ed company - it can make or break the "market perception" of your company , and consequentially the "stock price" , and it drags your company into a downward spiral independent of how good you might be doing on field.
Out of curiosity - I tried looking up the Analyst quoted in this article , his personal website popped up a bunch of NSFW images! And the firm he consults for "http://www.digitalworldresearch.com/" does not even have a website built.
It just feels terrible (and happy at the same time) to read an article from the past where analysts who are proclaimed to be experts in a certain segment are grossly wrong.
This is the particular blog post in which he talks about 'how to be happy'
"The proponents of this myth seem to want to suggest an analogy: Hollywood was built by “outlaws”; now Hollywood has become the incumbent, seeking to stop the next generation of “outlaws”. But this is a false equivalence. The Pirate Bay (or Megaupload, etc.) isn’t producing its own movies. Recognizing exclusive rights to a creative work doesn’t prohibit anyone from creating their own works. Stopping someone from offering copies, especially complete, verbatim copies, of a work is not anti-competitive."
from : http://www.copyhype.com/2012/05/was-hollywood-built-on-pirac...
I m not sure if Philae conducted all the originally planned experiments or not , Would love for someone to comment on that.
And I love what message they had in the final video update, - now that they shut down the communication module of Rosetta that would talk to Philae - all those power would be used to conduct other experiments ! They managed to throw in some positivity there.
One of the base use cases was Recruiter-Candidate connections.If I am looking for a job, and then I bump into a Recruiter's profile who is looking to Hire in my area of expertise, I hit like & if there is a mutual like - You start chatting and go for a coffee to learn more about the opportunity. Sometimes , these are directly the founders of small companies. The timing did not align all that well for me ,though I chatted with a lot of entrepreneurs , I never ended up meeting any one in person.
I suppose , this would have eventually grown into some sort of 'professional introduction' platform - And Weave would have charged you for the introduction. Unfortunately , looks like they couldn't get to that point at all.
Reid Hoffman visited Shenzen last year , and made some really interesting observations. I'll try and add a link to his article, But I think the essence of his trip was - How small groups built ,tinkered , hacked, learnt and became technicians by themselves ( in often cases even without a college degree). On top of this they also layered , other cost optimizations , spoke English and were self made entrepreneurs. I have seen similar trends in other parts of the world too, though not at the scale of Shenzhen . In the City I come from , a certain suburb was well known for Automobile repair work - Most of them could disassemble and reassemble entire cars , and sometime construct a car from disparate parts ! This eventually turned to a smaller version of 'Orange County Choppers'.
Its really hard to create/recreate such environments,but may be thats what Google is trying to do here. Or May be they are trying to build something similar to the 'Manufacturing' examples I gave above.
1.The fact that you could buy neatly stitched Calvin Klein , H&M , GAP or Zara apparel is because some 'Trained and Skilled' bangladeshi tailor is stitching all of those clothes.
2.The fact that you could kick around Adidas, Nike, Puma, Select, Litto, Umbro, Mitre, Micassa, Diadora, Wilsoms and Decathion footballs around is because some 'trained and skilled' person in Sialkot is sitting and making them.
3.The reason you could wear stylish Adidas and Nike shoes is because , some'skilled and trained' vietnamese people in a factory somewhere outside Ho Chi Min City are making them !
I could endlessly add things to this list, which showcases how trained labour from south american countries , Africa , Eastern Europe and other parts of the world make stuff that is sold as 'premium'/'top of the line' products. I am not sure if you understand Globalization and International Trade enough, May be some research in those area might realign your perspective.
On a different Note , I am not sure if you might have thought there would be more Malware Apps on the Apple AppStore if there were 2 million more iOS/ Swift Developers. It suggests something about how you perceive Google Vs Apple's Appstore Approval criteria.
Is that what made it difficult for us to design processors capable of "idling" ? (ie) completely new hardware design
What are these Dummy Jobs ? And Why did they have to do this instead of just leaving the CPU idle ?
(1) Managers/Companies also have deadlines when it comes to hiring a candidate. And if there is an impending "Hiring Freeze" that is about to be enforced , the desperation to hire someone goes up. This happens in large companies ( I m not sure about startups though); In these cases - the hiring Managers feel its OK for a candidate fall short of a bunch of expectations . They might as well have a resource that can get some work done , instead of not hiring any one ( and be stuck with one less resource for the next few months) . Most of the hiring freezes last one quarter. Sometimes , it might last two quarters - and it mounts a lot of pressure on the existing members of the team.
(2) Hiring managers (sometimes) look for potential than what you are currently capable of. You might have not the exact skills they are looking for - but you might have shown enough enthusiasm about the role / and might have strong indicators that you could get the job done for them.
Its fairly possible either one of these or both could be happening in your case.
http://www.msnbc.com/msnbc/how-supercomputer-sees-the-state-...
What the folks @ MSNBC did was to pass the last 10 SOTU speeches to Watson and collate the results over a graph.
But, Here is why I have trouble believing Watson's perception. Try passing the following input to Watson - (or any other gibberish)
"jkldsjglkfdsjgdfls kg;jsf g dsfg fdg jsdfjgdfskg dfsgj df gfgdflg;dfg g;fkgljsdfgk;gjldfg dgkjldfgdhfgkjdfhjg fkldskf;ksdlf;ksdlfks jkdhfkhsdjkfhksdhj ljfsdjfhdsjkfjskdhfkjsdhf sdfkls;dkfl; dkfl;sd;fsk roweruoweuroiweuroiwe uweoruweoruweo ruweuro kjgsfgjkldfsjgs klfgjfdsl gjfdlkg fd jkldsjglkfdsjgdfls kg;jsf g dsfg fdg jsdfjgdfskg dfsgj df gfgdflg;dfg g;fkgljsdfg kjgsfgjkldfsjgs klfgjfdslgjfdlkg fd jkldsjglkfdsjgdfls kg;jsf g dsfg fdg jsdfjgdfskg dfsgj df gfgdflg;dfg g;fkgljsdfg kjgsfgjkldfsjgs klfgjfdsl gjfdlkg fd jkldsjg lkfdsjgdfls kg;jsf g dsfg fdg jsdfjg dfskg dfsgj df gfgd flg;dfg g;fkglj sdfg kjgs fgjk ldfsj gs klfgjfds lgjfdlkg fd jkldsjg lkfdsjgdfls kg;jsf g dsfg fdg jsdfjg dfskg fsgj df gf gdflg;dfg g;fkglj sdfg kjgsfgjkldfsjgs klfgjfd slgjfdlkg fd jkldsjglk fdsjgdfls kg;jsf g dsfg fdg jsdfjgdf skg fsgj df gfgdflg;dfg g;fkgl jsdfg kjgsfgjk ldfsjgs klfgjfdslgjfdlkg fd jkldsjg lkfdsj dfls kg;jsf g dsfg fdg jsdfjgdfskg dfsgj f gfgd flg;dfg g;fkgljsdfg kjgsfgjkldfsjgs
fkldskf;ksdlf;ksdlfks jkdhfkhsdjkfhksdhj ljfsdjfhdsjkfjskdhfkjsdhf sdfkls;dkfl; dkfl;sd;fsk roweruoweuroiweuroiwe uweoruweoruweo ruweuro kjgsfgjkldfsjgs klfgjfdsl gjfdlkg fd jkldsjglkfdsjgdfls kg;jsf g dsfg fdg jsdfjgdfskg dfsgj df gfgdflg;dfg g;fkgljsdfg kjgsfgjkldfsjgs klfgjfdslgjfdlkg fd jkldsjglkfdsjgdfls kg;jsf g dsfg fdg jsdfjgdfskg dfsgj df gfgdflg;dfg g;fkgljsdfg kjgsfgjkldfsjgs klfgjfdsl gjfdlkg fd jkldsjg lkfdsjgdfls kg;jsf g dsfg fdg jsdfjg dfskg dfsgj df gfgd flg;dfg g;fkglj sdfg kjgs fgjk ldfsj gs klfgjfds lgjfdlkg fd jkldsjg lkfdsjgdfls kg;jsf g dsfg fdg jsdfjg dfskg fsgj df gf gdflg;dfg g;fkglj sdfg kjgsfgjkldfsjgs klfgjfd slgjfdlkg fd jkldsjglk fdsjgdfls kg;jsf g dsfg fdg jsdfjgdf skg fsgj df gfgdflg;dfg g;fkgl jsdfg kjgsfgjk ....
=====
And Watson rates it as the following.
Big 5
Openness100% Adventurousness100% Artistic interests2% Emotionality1% Imagination100% Intellect100% Authority-challenging100% Conscientiousness93% Achievement striving94% Cautiousness57% Dutifulness1% Orderliness1% Self-discipline81% Self-efficacy3% Extraversion1% Activity level1% Assertiveness1% Cheerfulness1% Excitement-seeking2% Outgoing1% Gregariousness1% Agreeableness1% Altruism1% Cooperation1% Modesty1% Uncompromising1% Sympathy1% Trust1% Emotional range11% Fiery1% Prone to worry10% Melancholy34% Immoderation24% Self-consciousness6% Susceptible to stress9%
Needs
Challenge61% Closeness84% Curiosity51% Excitement66% Harmony65% Ideal54% Liberty75% Love23% Practicality86% Self-expression25% Stability60% Structure57%
Values
Conservation78% Openness to change5% Hedonism15% Self-enhancement76% Self-transcendence11%
========
Its plain gibberish , and you still get some results. I tried passing other text transliterated to English and Watson still gives results like this. I would expect it to atleast call it out as gibberish-text.
We tried using the "tradeoff Analytics" service for the project - and I must say , the tools and help available around it, the API and its documentation is pretty bad , convoluted and unusable. This is true too other services available through watson too.
We looked into IoT ( Internet of things ) as well . And once again , ran into a ton of dead ends without being able to proceed. The API documentation and examples just suck . If you are used to playing around with well documented APIs / Tools / Languages - this is going to be frustrating.
If the OP is the person who actually wrote the article , please please please go back to Watson Dev Cloud or BlueMix and try it out your services and APIs an a consumer.
This is not just a loss of your netflix password . It probably leaked a ton of information about you , your password pattern ! I bet you have the same password for atleast a few more services. You have to protect them .
If you are a programmer - make sure no one logged into any of your AWS ( or any such public cloud accounts) and generated another pair of keys. You might not realize anything now , but the attack might come when you totally dont expect it. They might spin up instances and have a few 1000 $ swiped on your card. ( Amazon will still charge you in these scenarios )