Adonis Diaries

Archive for January 30th, 2015

 

12 Personal Branding Lessons I learned in 2014

“Be yourself; everyone else is alreadyI’ve had an amazing 2014 and have big plans for 2015. As I look back at my year and tweak my current personal branding strategy, I thought it might be helpful to share 12 lessons I learned in 2014 that helped me transform my personal brand story.

  1. Listen More than You Post!
  2. Social Data is powerful. Embrace it!
  3. Don’t outshine your boss!
  4. Your Brand is who YOU are, invest in it but more importantly LIVE it!
  5. Social Media can be a time suck. Manage your time.
  6. If you suck offline, you’ll suck online but also if your story/personal branding strategy sucks people will assume you suck!
  7. Find ways to #ShowUcare that allow you to stand out from the noise… (Go beyond a simple thank you)
  8. Your Klout score won’t pay the bills, invest in relationships and have a strategy that links social goals with your business and career ones!
  9. There’s NO social media easy button
  10. Use automation and technology to filter the noise, provide you analytics and increase your post success but never automate your engagement!
  11. Tips and Tricks for personal branding can be found everywhere… I study how and what football players post on social media and how my favorite social CEO promotes their book.
  12. There’s no “right way” to do personal branding but there are tons of wrong ways… Find Your Voice, Share Your Story but don’t be Fake as you’ll just look stupid!

Your personal brand like social media and technology must always be changing and adapting…

I would love to hear some of the lessons you’ve learned in 2014…

Please comment below! Let’s make 2015 the year personal branding is embraced and invested in throughout every department and from entry level employee to CEO.

“Be yourself; everyone else is already taken.”
Oscar Wilde

 

Caution: Artificial Intelligence is a Frankenstein

In the late 1980’s, Artificial Intelligence programs relied on practicing experts in practical fields in order to extract the “How to, and how to go about when a problem hits the system” using a series of questions: “What if“. These programs were designed to foresee going many experts into retirement  and the need to train new comers with the least cost and hire the minimum numbers of new employees.

Artificial Intelligence has progress and branched into many fields and this time around it is the professionals in labs who are designing the sophisticated software.

An open letter calling for caution to ensure intelligent machines do not run beyond our control has been signed by a large and growing number of people, including some of the leading figures in artificial intelligence.

“There is now a broad consensus that (AI) research is progressing steadily, and that its impact on society is likely to increase,” the letter said.

“The potential benefits are huge, since everything that civilization has to offer is a product of ; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable,” it added.

“Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls.”

How to handle the prospect of automatic weapons that might kill indiscriminately, the liabilities of automatically driven cars and the prospect of losing control of AI systems so that they no longer align with human wishes, were among the concerns raised in the letter that signees said deserve further research

Scientists urge artificial intelligence safety focus

Jan 12, 2015

Roboy, a humanoid robot developed at the University of Zurich,at the 2014 CeBIT technology trade fair on March 9, 2014 in Hanove
Roboy, a humanoid robot developed at the University of Zurich,at the 2014 CeBIT technology trade fair on March 9, 2014 in Hanover, Germany

Scientists and Engineers Warn Of The Dangers Of Artificial Intelligence

January 13, 2015 | by Stephen Luntz

Fears of our creations turning on us stretch back at least as far as Frankenstein, and films such as The Terminator gave us a whole new language to discuss what would happen when robots stopped taking orders.

However, as computers beat (most of) us at Jeopardy and self-driving cars appear on our roads, we may be getting closer to the point where we will have to tackle these issues.

In December, Stephen Hawking kicked off a renewed debate on the topic.

As someone whose capacity to communicate depends on advanced computer technology, Hawking can hardly be dismissed as a Luddite, and his thoughts tend to attract attention.

The letter was initiated by the Future of Life Institute, a volunteer organization that describes itself as “working to mitigate existential risks facing humanity.” The letter notes:

“As capabilities in these areas and others cross the threshold from laboratory research to economically valuable technologies, a virtuous cycle takes hold whereby even small improvements in performance are worth large sums of money, prompting greater investments in research.

There is now a broad consensus that AI research is progressing steadily, and that its impact on society is likely to increase. The potential benefits are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable.

Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls.”

The authors add that “our AI systems must do what we want them to do,” and have set out research priorities they believe will help “maximize the societal benefit of AI.”

Anyone can sign, and at the time of this writing well over a thousand people have done so. While many did not indicate an affiliation, names such as Elon Musk and Hawking himself are easily recognized.

Many of the other names on the list are leading researchers in IT or philosophy, including the IBM team behind the Watson supercomputer.

So much intellectual and financial heft may make their prospects good for conducting research in the areas proposed. Musk has said he invests in companies researching AI in order to keep an eye on them.

Musk worries that even if most researchers behave responsibly, in the absence of international regulation, a single rogue nation or corporation could produce self-replicating machines whose priorities might be very different to humanity’s, and once industries become established they become resistant to control.


adonis49

adonis49

adonis49

January 2015
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