Saturday, January 15, 2022

As the space becomes more crowded, the probability of an incident increases. Add in increasing independence of action by AI controlled drones and it becomes inevitable?

https://breakingdefense.com/2022/01/us-5th-fleet-commander-dramatic-uptick-in-irans-drone-use/

US 5th Fleet commander: ‘Dramatic uptick’ in Iran’s drone use

Over the past few years, Iran has “significantly” increased its use of unmanned aerial vehicles, the US Navy’s 5th Fleet Commander said today.

Vice Adm. Brad Cooper said that unsafe naval encounters with the Iranian military remain relatively flat, but, “what is different, though, is a dramatic uptick in the UAV activity in the region, both in terms of their capability, their profiles and the density of activity.”

On the US side, Cooper said today the US 5th Fleet has also ramped up its own use of maritime drones, unmanned surface vessels and unmanned underwater vehicles over the past several months, standing up Task Force 59 in September to help speed up its integration of unmanned tech.



Can we think enough like an ultimate AI to predict what it might conclude about humans? 1) They are partners. 2) They make nice pets. 3) Left on their own, they are a threat to each other but not to AIs.

https://www.zmescience.com/science/calculations-suggest-humanity-has-no-chance-of-containing-superintelligent-machines/

Calculations suggest humanity has no chance of containing superintelligent machines

If there’s one thing fiction has warned us of, it’s that if a rivalry between humans and machines breaks out, it’s unlikely to end well. A new study seems to confirm that idea.

We often hear that it’s not always clear just how Artificial Intelligence (AI) works. “We can build these models,” one researcher famously said a few years ago, “but we don’t know how they work”. It sounds weird, especially with it being such a hyped and intensely researched topic nowadays, but the ways of the AI are indeed sometimes murky, and sometimes, even the programmers behind these algorithms don’t always understand how a certain conclusion was reached.

It’s not uncommon for AI to come up with unusual, unexpected conclusions. Even when the conclusion itself is clear, why that specific conclusion was reached is not always clear.

The study “Superintelligence cannot be contained: Lessons from Computability Theory“ was published in the Journal of Artificial Intelligence Research.

https://www.jair.org/index.php/jair/article/view/12202


(Related) Not sure this is the right idea either.

https://www.koin.com/news/oregon/anti-combat-robot-petition-aims-to-keep-ai-weapons-out-of-oregon/

Anti-combat robot’ petition aims to keep AI weapons out of Oregon

Autonomous weapons are being used in some countries and an Oregon man fears they could fall in the hands of police

A Pendleton man filed a petition with the Oregon Secretary of State this week to prevent combat robots from ever being used in the state. He calls it the Anti-Combat Robot Act.



You want to be healthy, don’t you?

https://www.pogowasright.org/quietly-and-over-some-objections-a-national-digital-vaccine-card-has-emerged/

Quietly and over some objections, a national digital vaccine card has emerged

David Ingram reports:

Whether they realize it or not, about 200 million people in the United States now likely have access to a Covid-19 digital vaccine card.
The digital pass known as the SMART Health Card is voluntary and minimal by design to protect personal information. It has a person’s name, date of birth and the dates and brands of vaccination doses, all contained within a type of scannable bar code known as a QR code.

Read more at NBC.

Meanwhile, north of the border, we saw this report last week from Cindy Harper:

The vaccine passport system in Quebec will soon be updated so that it will only work for those who have had a booster shot. The vaccine mandate was also extended to include liquor stores and cannabis dispensaries.
The third dose will be a requirement at a later date when every Quebecer has had a chance to get it, said the province’s Health Minister Christina Dube.
Those without a booster shot will be blocked from some parts of society.

Read more Reclaim.



Seems likely. You are who you interact with?

https://www.newsweek.com/social-media-speciating-human-thought-opinion-1669559

Social Media Is Speciating Human Thought | Opinion

Like finches in the Galapagos, we're unwittingly evolving away from our neighbors on our own isolated islands of thought.

In the past, we disagreed about who to elect president. These days, we can't even agree on who we did elect. A year ago a third of Americans thought the real winner of the 2020 presidential election was the incumbent, and a few of them stormed the nation's capitol in protest of perceived widespread fraud.

Though a majority of Americans on both the Left and Right think our democracy is "in crisis and at risk of failing," we can't agree on why.

But there's a logical, apolitical explanation for our society's current discord: Personalized machine-learning algorithms are pushing us into our own isolated digital ecosystems to the point that our world views are becoming fundamentally incompatible, and so are we. See: Darwin.



Cute. Wanted: A left handed litigator that gets on base…

https://www.law.com/americanlawyer/2022/01/14/law-firms-emerging-weapon-in-talent-wars-the-moneyball-strategy/

Law Firms’ Emerging Weapon in Talent Wars: The Moneyball Strategy

As more law firms embrace the power of mining data to inform talent-related decisions, some have predicted that Big Law hiring could become like modern Major League Baseball: A data-centric endeavor that trusts the numbers, and those who know how to interpret them, over all else.

Legal industry experts say broad-based adoption of that approach—the numbers-first philosophy known in sports as “moneyball”—is a long way off. But data analysis is already cementing an important role in how law firms evaluate new associates and lateral hires.

For this strategy to reach its potential, the industry must overcome a few big hurdles: bias toward law firms and law schools with big brand names; a tendency to overvalue the so-called gut feeling; and hiring the right people to collect and interpret data.

… “It is very easy to make the analogy between baseball and the legal industry,” he said. “This is because the lateral market is very much like when a baseball team acquires a player. The laterals look at who has the bigger need and who wants to pay more.”

Latino says a firm may be enticed by a lateral candidate’s $15 million book of business, but data can provide deeper insight into whether that person’s brand is worth investing in.

I want to look at the cost of servicing the clients that make up that $15 million,” he said. “I want to calculate what the internal rate of return will be, what the net present value is and what the payoff period is.”



Only four? If you are going to steal, steal from the best.

https://theconversation.com/four-times-shakespeare-has-inspired-stories-about-robots-and-ai-174137

Four times Shakespeare has inspired stories about robots and AI

Science fiction is a genre very much associated with technological marvels, innovations, and visions of the future. So it may be surprising to find so many of its writers are drawn to Shakespeare – he’s a figure associated with tradition and the past.

Sometimes his plays are reworked in a science fiction setting. The 1956 film Forbidden Planet is just one of many variations on a “Tempest in space” theme. Sometimes the playwright appears as a character caught up in a time travel adventure. The Dr Who episode The Shakespeare Code is a well-known example. Here the Doctor praises Shakespeare’s genius, describing him as “the most human human”.

I’ve been exploring this topic in my recent book on Shakespeare and Science Fiction. Here are just a few of my favourite examples of how science fiction has embraced – and transformed – Shakespeare.



Resource. Several free AI related courses. Here’s one.

https://www.marktechpost.com/python-for-machine-learning-ml-free-course/

Python For Machine Learning (ML) Course


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