EU’s antitrust fine against Google is STUPID, STUPID, STUPID!

The New York Times reported in response to the EU $5.1 billion fine that “Google argued that the European decision was an attack on its ad-based business model. … The arrangement, the company said, lets manufacturers compete with Apple’s iPhones and iPads, by making phones and tablets of various designs and prices, while Google makes money through its services.”  The July 18, 2018 article entitled “E.U. Fines Google $5.1 Billion in Android Antitrust Case” included these comments:

Google could ultimately decide to charge handset makers for using Android in Europe, a policy shift that could drive up the prices of some handsets.

The regulatory push in Europe might also influence others around the world to take a tougher look at Silicon Valley, he added.

Good news is that Google is appealing this stupid ruling!

3 reasons Artificial Intelligence (AI) may not be a silver bullet for Cybersecurity reported that “To be fair, AI definitely has a few clear advantages for cybersecurity…in reality, like any technology, AI has its limitations.” The July 20, 2018 article entitled “Why Artificial Intelligence Is Not a Silver Bullet for Cybersecurity” included these comments about #1 Fool Me Once: AI Can Be Used to Fool Other AIs:

This is the big one for me.

If you’re using AI to better detect threats, there’s an attacker out there who had the exact same thought.

Where a company is using AI to detect attacks with greater accuracy, an attacker is using AI to develop malware that’s smarter and evolves to avoid detection.

Basically, the malware escapes being detected by an AI … by using AI.

Once attackers make it past the company’s AI, it’s easy for them to remain unnoticed while mapping the environment, behavior that a company’s AI would rule out as a statistical error.

Even when the malware is detected, security already has been compromised and damage might already have been done.

Here are all three reasons AI may not be the Silver Bullet for Cybersecurity:

  1. Fool Me Once: AI Can Be Used to Fool Other AIs
  2. Power Matters: With Low-Power Devices, AI Might Be Too Little, Too Late
  3. The Known Unknown: AI Can’t Analyze What It Does Not Know

You don’t even use AI to realize this pretty sound advice.

Big news for central Texas - Chinese Bitcoin mining to start at shutdown Alcoa Aluminum factory!

The reported that in a small Texas town of Rockdale that  “Chinese firm Bitmain Technologies is opening cryptocurrency mining operations at the site of a former aluminum smelter.”  The July 20, 2018 report entitled “With coal gone, this Texas town is going all in on Bitcoin mining!” included these comments about Bitmain Technologies, based in Beijing:

The site of the bitcoin mining operation is next door to Dallas-based Luminant’s Sandow power plant, which closed in January. The new bitcoin operation is expected to create 300 to 500 jobs and offset the 325 jobs lost at the power plant and mine.

Great news for Milam County, Texas!

Do you like the idea that Facebook is increasing the use of Artificial Intelligence (AI)?

The Washington Post reported that Yann LeCun (Facebook’s chief AI scientist and an early machine-learning architect) said that “Facebook will dramatically accelerate its research into artificial intelligence, …in hopes of ensuring the social network doesn’t fall behind with the technology it will need to contend with Internet rivals and police its gargantuan audience.”  The July 17, 2018 report entitled “Facebook, boosting artificial-intelligence research, says it’s ‘not going fast enough’” included these comments:

A typical user can often miss the subtle ways Facebook’s AI influences their actions, including suggested photo tags, algorithmically decided News Feeds, friend recommendations, spam blocking and ad targeting.

AI is a critical battlefield for Facebook, with [Mark] Zuckerberg pledging to Congress and investors that automated tools would help solve some of the company’s thorniest problems, including extremist propaganda, misinformation and hate speech.

The company says AI has boosted its ability to monitor the social network’s 2 billion users, but it still relies heavily on human moderators and,…

So is this good or bad? Or do we have any control over the use of AI?

Do you know the difference between Artificial Intelligence (AI) and Machine Learning? reported that “Heinz Marketing surveyed about 300 business-to-business (B2B) marketers from North America and found that less than one-fifth of them had a strong understanding of the differences between AI, machine learning and predictive modeling. About four in 10 admitted they were not clear what the differences are.” The July 12, 2018 article entitled “Why Marketers Struggle to Define Artificial Intelligence, Imprecise buzzwords create confusion” included the following:

The confusion over these terms is unlikely to go away anytime soon.

Part of this confusion likely comes from how marketing tech vendors and advertisers use these terms in all sorts of ways to pitch products they’re peddling.

Sometimes AI and machine learning are used interchangeably.

Sometimes they’re not.

Do you know the difference?