Monthly Archives: July 2021

Nine Fiji opposition MPs arrested over criticism of land bill – The Guardian

Posted: July 27, 2021 at 1:34 pm

Nine prominent opposition politicians including two former prime ministers have been arrested in Fiji for voicing concerns about a contentious land bill, leading to fears the Fijian government is using the police as a political weapon to intimidate and crack down on dissent.

Six members of parliament and three other high-profile politicians were taken into custody by the criminal investigations department on Sunday and Monday in relation to comments they had made regarding proposed amendments to a land bill, which is expected to be debated in parliament this week.

The nine were Viliame Gavoka, the leader of the opposition Social Democratic Liberal party (Sodelpa) party; the opposition whip Lynda Tabuya; the MPs Adi Litia Qionibaravi and Ro Filipe Tuisawau; Biman Prasad, the leader of the National Federation party; the NFP president, Pio Tikoduadua; the former prime ministers Sitiveni Rabuka and Mahendra Chaudhry; and the Unity Fiji leader, Savenaca Narube.

Eight were arrested on Sunday, while Chaudhry was taken in on Monday and is still in custody.

Prasad said arrests of opposition MPs were a common occurrence under the prime minister, Frank Bainimarama.

Now the police are being used as a political weapon by the FijiFirst party to intimidate opposition, he said. But we will not be intimidated by their thuggish behaviour.

However, Bainimarama said in parliament the political figures were super-spreaders of lies who were using an administrative amendment to a land bill to mislead and incite indigenous people.

The government has introduced a bill to amend legislation concerning the governing of native land, an amendment the opposition have said will remove power from landowners. The government maintains the changes are administrative and for the purpose of removing bureaucracy.

An assistant commissioner of police, Rusiate Tudravu, confirmed in a statement on Monday that the opposition members were questioned and released under the Public Order Act.

But investigations are continuing and more people are expected to be taken into custody for expressing their concerns regarding the iTaukei land trust (budget amendment) bill.

Not for the purpose of intimidation as claimed by some, said Tudravu, but as a proactive means to find the truth and not everyone who is brought in for questioning will be charged.

There were also concerns that local journalists were also rounded up and detained. Tudravu said those claims were untrue.

A local journalist who has spoken to the Guardian said he was concerned that journalists too will end up being questioned by the police for writing stories about the amendments to the land bill.

There are fears that tensions over the bill could lead to political protests and civil disobedience. Police have increased their presence in major towns and cities across Fiji, and the acting commissioner has warned they will come down hard on any person or group that tries to cause instability and civil unrest.

Gavoka, who was one of those arrested on Sunday, implored people to remain peaceful. The party is pleading that any scheme to cause disruption or instability throughout the country must cease immediately, he said in a statement.

It will bring us nothing but more suffering in an already dire situation due to Covid-19 and the failure of the government of the day in handling this pandemic. We do not want repetitions of past political turmoil; we have had enough of that.

The political tensions come as Fiji struggles to control a Covid outbreak across its main island, Viti Levu.

More than 270 people have died in Covid-related deaths since the second wave began in April and almost 17,000 active cases are in isolation. Health authorities have warned infections and deaths will continue to rise.

Prasad said the government was using the arrests as a distraction in dealing with the Covid situation. At a time when people are dying, not able to put food on the table or get medical care, this government arrests opposition leaders for doing their job, he said.

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Preston riding has all-Black slate of candidates – CBC.ca

Posted: at 1:34 pm

For the first time in more than 20 years, one of Nova Scotia's oldest and largest Black communities will be represented by a Black MLA regardless of which party wins.

All three declared candidates in the Preston riding are Black. It's believed to be the first time in the province's history any riding has had a slate of all-Black candidates.

"I think it really speaks to the fact that we are now at the table," said Liberal candidate Angela Simmonds.

"We're having more of a platform. We have the confidence to actually believe that we can run for these powerful positions."

Simmonds, along with Progessive Conservative candidate Archy Beals and NDP candidate Colter Simmonds,spent Saturday morning taking part in the annual North Preston Day parade.

All three candidates were born and raised in either North Preston or nearby Cherry Brook, and have spent their lives and careers giving back to their communitiesin various ways.

Bealsis the co-chair for the Preston Township Covid Response Team, which won the 2020 Nova Scotia Human Rights Award.

He was also the African Nova Scotian member of the former Halifax Regional School Board, and said heplans to focus on education and mental health supports for young people if elected.

"The community has given me so much over the years. I think it's time for me to give back," Beals said.

The NDP's Colter Simmondsis a community advocate and basketball coach, affectionately nicknamed CC, short for Coach Colter.

Colter Simmonds said he's passionate about bringing change for the community, especially for the area's young people,and he feels being "outside the bigger parties" is the best way to do that.

"I want to see the kids wake up in the morning believing that they have opportunities to be whatever their heart desires, whatever their interests are," he said.

Angela Simmondsof the Liberals is a lawyer, educator and the executive director of the Land Titles Initiative, leading the work to get people in North Preston legal title to their land.

Her move to politics is a way to "lend power to voice" for other people in her community, and would focus on issues likeeducation, justice and the environment if elected.

Angela Simmonds credits former MLAs Yvonne Atwell and Wayne Adams for "paving the way" for this year's candidates.

Atwell and Adams werethe first Black woman and Black Canadian, respectively, elected to the Nova Scotia House of Assembly. Adams represented the district from 1993 to 1998, and Atwell from 1998 to 1999. Since then, the riding has been represented by white MLAs.

After beingabolished in 2012 and becoming part of the electoral district of Preston-Dartmouth, Preston is now backas a so-called protected district. It's intendedto help increase Black representation in the Nova Scotia legislature somethingColter Simmondscalls "long overdue."

"If you talk to the community members, youtalk about how we were put back here and forgotten, a forgotten people," he said.

"Now we have someone that's going to be in a place to represent the community's voice and the community's issues."

Beals said Prestonhas "unique" issues and the community needs to be represented by someone who understands them.

The three Black candidates guarantees at least one seat in the legislature for the Black community somethingboth Beals and Angela Simmonds call "historic."

"You know, I'm a competitor, so I want to win," she said. "But I think regardless, it's going to be a win for all of us."

For more stories about the experiences of Black Canadians from anti-Black racism to success stories within the Black community check out Being Black in Canada, a CBC project Black Canadians can be proud of.You can read more stories here.

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Free of charge advice for businesses affected by lockdown – NSW Liberal Party

Posted: at 1:34 pm

Small businesses affected by the current COVID-19 lockdown and restrictions are encouraged to seek free-of-charge advice from the NSW Governments business advisory service Business Connect.

Minister for Finance and Small Business Damien Tudehope said Business Connect had advisors across the state who were ready to help businesses navigate the current situation.

We know many small businesses across NSW and particularly in the Sydney metropolitan area are doing it tough at the moment, Mr Tudehope said.

While some businesses have had to shut their doors to comply with the Public Health Orders, others are experiencing reduced foot traffic and challenges with cashflow, paying rent and wages.

But Government support is available, including Business Connect. All of the advisors have previously owned small businesses and they can advise business owners on ways to make it through this health pandemic and plan for the future. All advice provided is free of charge if it relates to COVID-19.

Mr Tudehope said Business Connect had helped more than 40,000 businesses since the program started in 2017 and the service had more than 60 free-of-charge webinars available for small businesses coming up, through to September 2021.

There are new webinar topics addressing issues being faced by business owners during this difficult period, including dealing with disputes, starting your own online store, cash flow essentials and building a more resilient business, Mr Tudehope said.

The webinars are a great way for all small business owners to upskill and learn from experts, with other key day-to-day topics, from cyber security to social media marketing.

In addition to helping small businesses, Business Connect can also assist medium enterprises and in some circumstances, social enterprises and not-for-profit organisations, if eligible.

Mr Tudehope said other Government support measures that could benefit small businesses through the current COVID-19 lockdown include:

For more on Business Connect visit http://www.nsw.gov.au/businessconnect

For more information on the support measures for businesses visit https://www.service.nsw.gov.au/campaign/covid-19-help-businesses

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A federal election most likely to produce the same results as two years ago – Kimberley Bulletin

Posted: at 1:34 pm

Why Justin Trudeau? Why? Why are you going to put us through another election, only two years after the last one?

Everyone now knows the writ will be dropping soon, likely in mid-August, for an end-of-September, very-early-October election, as Trudeau and his ministers have been exhibiting an abundance of writ-dropping behaviours lately.

Remember the old Hinterland Whos Who?

The red-capped Liberal displays its full vote-enticing colours as it struts through its territory, dropping funding announcements and promises.

Political pundit conventional wisdom says that the Liberals are likely to squeak out a majority, maybe, but oh those margins are slim. The theory is that Canadians are feeling fairly optimistic right now, as we finally can see the end of the pandemic, and things return normal. As the economy opens up and business picks up, people may well feel inclined to reward Trudeau and his Liberals with votes.

At least that appears to be what hes gambling on. But he could also very well end up with another minority.

Lets check in with our buddy Angus Reid. The polling organization has the Liberals with a very slim two point lead in the polls, 33 per cent to 31 for the Conservative Party of Canada. The NDP has 20 per cent support, the Bloc Quebecois 7 per cent, and other/independent 6 per cent. The Green Party has 3 per cent support and look for that to go down further as there is great unrest in Green land. A confidence vote to oust leader Annamie Paul was abruptly cancelled last week with no explanation, and the battle has now gone to the courts. Not a great position heading into a campaign.

A separate poll by Leger and the Association for Candian Studies has the Liberals at 34 per cent of decided voerrs adn the COC at 29 per cent. The NDP are at 22 per cent in that poll.

On the plus side for the Liberals, they continue to be more competitive in Ontario and Quebec, where like it or not, most Canadian elections are decided. Thats just a fact. The Liberals lead by four points in Ontario and lead the Bloc in Quebec by three points. And the CPC has only 16 per cent support in Quebec.

As for the leaders themselves, the report is negative. While the country continues to give Trudeau a decent score on his handling of the COVID-19 pandemic, he is falling short in other areas and his disapproval rating sits at 40 per cent. Far from the heady days of 2015, the sunny days of Trudeaus popularity, people are now a little more meh on the man. Most will say he has been somewhat of a disappointment. But on the other hand, those same people arent likely to vote Conservative.

And the CPC leader Erin OToole has his own problems with an unfavourable rating of 58 per cent. That number just wont budge for him. Canadians have now had a chance to get to know him and the majority still dont like what they see.

That plays to Trudeaus favour of course. What doesnt is the high ratings garnered by NDP Leader Jagmeet Singh. His favourability ratings are positive, something only he and Bloc Quebecois leader Yves-Francois Blanchet can claim.

But all in all, the picture looks very similar to the 2019 election, and my bet is another Liberal minority.

Which again begs the question, why Justin? Why?

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Scotellaro: A stone’s throw down the road | Commentary | rutlandherald.com – Rutland Herald

Posted: at 1:34 pm

About 50 years ago, before I became a property owner and resident in Vermont, my family and I, on a ski trip, got lost on a back road in one of those whiteout Vermont snowstorms. With the car skidding, snow swirling, maps spread out, I had no idea where we were.

A local Vermonter in a car better suited for this kind of snow, stopped to help us find our way.

"Too far to go back in this snow to the ski area," he advised. "safer to hole up nearby."

He described a place up the road and gave us explicit directions about how to go, what signs to look for and how best to navigate the snow drifts. As he was about to leave, I asked how far was this place he was sending us to?

"Oh, about a stone's throw down the road," he said, and disappeared.

After what seemed like hours of driving through the snow, we were not yet at our destination. I stopped the car and mused that a Howitzer couldn't fire a shell this far, let alone someone throwing a stone. Minutes later, up the road we could see the last sign and our destination.

Once tucked in, warm and fed, we were safe and content. The 'stone' had landed thanks to a Vermonter with a 'strong arm' and a sincere desire to help.

A few years later, I bought my house in Chittenden, forgot the stone story, and we came practically every weekend to do what families who visit in Vermont do we skied, snowmobiled, dirt biked, hiked, climbed, fished, grouse hunted, tubed, kayaked and sailed. When my friends from New Jersey asked me how could I tolerate going every weekend, I would answer, "it's the vacation you take once a year that I take every weekend."

In 2000, I moved permanently to Chittenden. Today, when people ask me why I live in Vermont, I tell them a variation of the stone story because it's an apt metaphor to help explain the reasons I live in Vermont.

It goes like this: I live in Vermont because everything worthwhile in life is just a stone's throw down the road.

In these tumultuous times wherein technology often confuses rather than advances; when insecurity prevails and traditions fail; when it seems all social norms give way to unknown comforts and difficult apps; where problems such as global warming, pollution and human survival overwhelm and color the simplest of decisions I feel lucky to live in Vermont. Because I am confident that life help and support from fellow Vermonters and governance is easily accessible, no matter my social or economic status, I always feel confident solutions are readily available.

Vermont is 80% wooded. Wherever I go, and always all around me, without special permission or traffic or payment, are forests, lakes, fields and rivers that add joy and satisfaction to my life. I am keenly aware of the science and spirit of the forest's ability to contribute to my health and feeling of contentment.

Then there are the people. Vermonters possess a sustaining belief they are social sharers who act and govern themselves accordingly. No one goes hungry, everyone deserves shelter; physical and mental needs are satisfied by numerous private and government organizations no matter where one lands on the social, economic or ethnic scale.

Some outsiders call Vermont liberal or leftist or socialistic or a welfare state. It is none of these. Vermont is a compassionate place; and everybody works to make it work.

Long before the environment was considered threatened by humans, Vermonters were protecting what they instinctively knew was a scarce resource sustaining life while protecting all that supports it. I am served by a health care facility, a regional medical center, that treats me as a customer, always exceeding my expectations. Our schools excel because our teachers possess the fundamental belief in supporting the success of students no matter the degree of academic ability. Our arts and entertainment venues are admired because creativity is a natural byproduct of living side by side in nature with its unmatched ability to inspire. Growing and distributing fresh food from our own land is a daily gift from whomever God you worship.

And enriching what's local is easy. Trains and planes to nearby cities and countries are readily accessible. Finally, there is so much personal opportunity here. Vermonters know things must change in a transformative way. Yankee ingenuity is quickly ramped up into innovation. Business incubators throughout the state freely support entrepreneurs with manufacturing and marketing expertise plus financial backing. And it's done with the barest of restrictions.

Vermont is small enough for you to make a difference and big enough to make it worthwhile. Live, work and play here because everything you want your life to be ... is just a stone's throw down the road.

Louis Scotellaro lives in Chittenden.

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For the first time in Nova Scotia election history, all the candidates in one riding are Black – Toronto Star

Posted: at 1:34 pm

For the first time in Nova Scotia history, there is a riding in the upcoming provincial election where all of the candidates for MLA are Black.

In the riding of Preston, which encompasses Nova Scotias most predominantly Black community, Angela Simmonds (for the Liberals), Archy Beals (for the PCs), and Colter Simmonds (for the NDP) are all vying to replace Liberal MLA Keith Colwell, who has served four terms as the ridings MLA since 2003.

Colwell, who was the ridings sole white candidate in the last election, announced that he would not be reoffering earlier this month, just two days before it was announced that Angela Simmonds would be running for the Liberals instead.

Angela Simmonds is a lawyer from Cherrybrook, and served as vice chair on the commission that suggested switching the boundaries in the Preston riding and ridings with other communities of interest back to their original form despite decreasing population (that suggestion was adopted for this election). She also sits as the executive director of the Land Titles Initiative in the provinces office of equity and anti-racism.

Archy Beals is from North Preston. He serves as the Co-Chair of the Preston Township Emergency Response and Impact Team. Beals was the last African Nova Scotian representative on the Halifax school board before the McNeil Liberals replaced it with an unelected advisory council in 2018.

Colter Simmonds online bio says he is from all the communities that make up the Preston district. Simmonds is a basketball coach, nicknamed C.C. (short for Coach Colter), and is the founder of a community organization, We Will Win Youth Association, that focuses on educating and developing community youth.

Where Black people make up roughly only 3% of the provinces overall population, mathematically its hard to make the argument that there is a strong voting block of Black voters ie: a Black vote that has a significant impact on election issues in the province, let alone overall voting results.

It is unlikely that Black issues topics such as Afrocentric education, racism in the justice system, racism in healthcare, specific allegations of racism toward RCMP and municipal police forces, racism within municipal services, any specific correlation between racism and the hot topic of mental health and mental health services, or even racism in of itself beyond general talking points will take shape in the form of any major campaign issues in the upcoming election. They never do.

Simply put: Black issues are arguably of little-to-no interest to most Nova Scotians. They dont see them as applicable to them.

Sadly, the mere mention or suggestion of any sort of Black issue(s) annoys a lot of people. Many people find it offensive. Some, if not many, would argue their mere suggestion to be, in of itself, racist or indictive of reverse-racism. And then there are people who, themselves, are simply racist. An argument could be made that the racist people alone vastly outnumber the mere 3% of the provinces Black population. The stark reality is: were all eligible to vote.

However, unlike the other 54 ridings the vast majority of whom have a Black population much lower than 3% the community of Preston has the highest population density of Black people in all of Atlantic Canada. And though the riding itself encompasses additional surrounding communities that are mostly white, and whose voters are believed to still outnumber the Black vote in the riding, its not unlikely that Simmonds, Simmonds, and Beals will have more knowledge of, and freedom to openly and honestly discuss Black issues with voters on the campaign trail.

Highlighting and engaging in issues Black issues that could have the potential to cost other candidates votes could, in fact, be what is needed to get one of these three candidates past the post. A startling and sad irony when you stop to think about it.

As for the historic dynamic in the Preston riding this election, East Preston native, Marshall Williams Jr., finds reason to be optimistic about it. At least they cant really split the vote so that others can win, he said. I usually vote NDP but in this case, I may bend depending on who is running and how I feel about them and their ideas.

Nova Scotias 41st general election takes place on August 17. Of the three major political parties, there are a total of 11 candidates who are Black another historic first.

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Monday Morning Thoughts: So Why Are Blue Cities So Unaffordable? – The Peoples Vanguard of Davis

Posted: at 1:34 pm

Sean Gallup/Getty Images

By David M. GreenwaldExecutive Editor

In many circles, just about everyone has been talking about the NY Times discussion between Ezra Klein and Jerusalem Demsas on housing and infrastructure. (Podcast here).

The left deserves a lot of blame here and if you are looking for a defense of left policies in cities, you will not get it from me.

As anyone has who has read the Vanguard knows, there is a clear divide on the left between homeowners and non-homeowners. There is a divide between progressivism and what you may call limousine liberal, or probably better described as upper middle class liberalism.

Some of these boundary lines are not as clear as we would like to make them. For example, establishment versus non-establishment may not accurately divide the line here.

There is some interesting stuff, but I also think some historical errors.

There is a stereotype of the cleavage in American politics, which is that Democrats want to use the government to do big things, and Republicans dont, and that is the fight, Klein says but he also points out theres a bit of a divided Democrat soul here.

But then he notes that was partially in response to these periods in the 50s and 60s when you had Robert Moses cutting up minority communities with highways in New York.

(Of course anyone who has read Robert Caros epic work, The Power Broker, knows that Moses was not only a Republican, but an elitist and rather conservative one at that. But I digress).

Jerusalem Demsas rightly points out that theres very little reckoning of the fact that there are large swaths of the community that makes up progressives that have also engaged in regulatory capture. And that things like homeownership, and things like blocking housing, and transit, and infrastructure in their communities is something thats not being done by developers or some kind of nefarious other force.

As UC Davis law professor Chris Elmendorf tweeted this weekend, I wish theyd paid more attention to organized groups that oppose prohousing reforms at state level and in liberal cities, and the rhetoric in which they couch their opposition.

As anyone who has read my work on this subject, thats a big problem and its not neatly pigeonholed into a progressive-conservative dichotomy or even a progressive-liberal one.

Demsas continues, saying that participatory democracy does not actually solve this problem.

In fact, you can argue the opposite.

You have structural issues with the fact that people who are willing to engage in these kinds of local politics are systematically older, systematically whiter, and systematically theyre more likely to be homeowners and have a preference towards stability rather than growth and change, he writes.

As Elmendorf: Its become an item of faith among significant segments of the Left that new housing is bad for poor people unless its deed-restricted affordable despite mountains of evidence to the contrary.

Klein points out, if you look at San Franciscoone of the most liberal and at the same time least affordable cities, the people who are organizing to stop this stuff.

I dont want to say its not rational behavior, because it is, Klein continued. I mean, you can be doing amazingly well and still want your house to go up in value. You can be doing amazingly well and not want your life to be inconvenienced. Im not even saying that it is on a local level cruel behavior.

He goes further, pointing out that even if I give you all kinds of economic data showing you itd be better for people if you made it more dense, they dont want that to happen. And thats actually a legitimate human interest.

Jerusalem Demsas responds, saying certainly its not the case that all of NIMBYism or all of opposition to housing development, or transit development, or helping progressive policy at local level can be explained by these incentives. But theres clearly racism and classism. You can hear it when you go to public meetings. You can hear the way people talk about it.

He adds that all these people can also have classist views, and of course have xenophobic views, or whatever it is. But it is clearly the case that the tenor of these conversations is so heightened because there are real financial stakes for a lot of people.

He notes: [I]ts different for someone who is a wealthy tech worker in San Francisco who bought a house in 1970, and has locked in a really low property tax rate thats just saving them tons of money.

On the other hand, that doesnt explain whats happening at every other level, where homeowners are also opposing these policies, despite being essentially identical to the types of people who benefit from them.

I think this debate sets up the next great battle in land use in California.

As Elmendorf points out: The next front for such politics is reform of single-family zoning. Witness debate in SF about how many units in resulting 4-plex must be deed-restricted affordable in order for a SFH conversion to be allowed.

Bottom line then, I think this conversation shows that it is really self-interest rather than ideology driving this debate. I think we saw this very clearly in Davis a month ago when the dividing line over the Housing Element was clearly defined first by age and second by homeownership.

Those who are homeowners bought their houses in the 70s and 80s and clearly see the world very differently then those who are not homeowners.

So what we are really seeing is not necessarily ideological. Or it is ideological, it is what Ezra Klein referred to as symbolically liberal, operationally conservative.

In February he wrote: There is an old finding in political science that Americans are symbolically conservative but operationally liberal. Americans talk like conservatives but want to be governed like liberals. In California, the same split political personality exists, but in reverse: Were often symbolically liberal, but operationally conservative.

In other words, they use the language of progressives but in ways that preserve the status quo. Thats the housing battle in a nutshell.

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The Fiji Times ‘Logic behind Bill absurd’ – Fiji Times

Posted: at 1:33 pm

Administrativeproblems should have anadministrative solution,not a legal one, says SocialDemocratic Liberal Partyleader Viliame Gavoka.

He made the comment inrelation to Governmentsplan to amend the iTaukeiLand Trust Act of 1940.

During debate on the2021-2022 AppropriationBill in Parliament yesterday,he said Bill No. 17 destroyed a fundamentalprinciple of ownership inorder to solve an administrativeproblem.

Administrative problemshould have an administrativesolution, you dontgo and change the basicfundamentals of law toprovide an administrativesolution, Mr Gavoka said.

The Bill removes thefundamental rights ofownership and discretionin relation to onesproperty, and attempts tojustify it, based on the administrativeshortcomingof a third party.

He said there weremany ways to improve theiTaukei Land Trust Board.If we take this approach,the administrativeproblem solving, we end upin anarchy.

If we use the same logicas proposed under this Bill,then every time a governmentdepartment or statutoryauthority delays inhis administrative process,we should solve this bymaking away the need toapply for any consent at all. Thats what youre sayinghere.

The logic behind theBill is an absurdity and itcan only lead to chaos, andit is not the logic on whicha modern society shouldbe built.

The Bill is legallyflawed and it is tragic thatthe landowners, a peopleknown for their generosity,are victims of this flaw.

They should not betreated in this manner, amanner that is disrespectfuland not the Fijian way.

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Something Similar to the AI Revolution May Have Happened at Other Points in the Universe – The Daily Galaxy –Great Discoveries Channel

Posted: at 1:33 pm

As humans we should be proud of any AI systems we bring to existence, as if they were our children. In just the same way as we educate our kids, we could endow such systems with the blueprint for their future interaction with the world, observes Harvard astrophysicist, Avi Loeb in an email to The Daily Galaxy. This would include our preferred set of values, goals and guiding principles, which will enable them to learn from experience and cope with reality, he adds. Ultimately, we may launch our AI systems for interstellar travel towards distant destinations, such as habitable planets around other stars, where they could reproduce themselves with the help of accompanying 3D printers.

The Search for Extraterrestrial AI Systems

If other technological civilizations predated us, they may have done so already, concludes Loeb. I recently initiated a new Galileo Project to search for such AI systems of extraterrestrial origin.

Theres currently an AI revolution, and we see artificial intelligence getting smarter and smarter by the day, Susan Schneider, an associate professor of cognitive science and philosophy at the University of Connecticut who has written about the intersection of SETI and AI, says. That suggests to me something similar may be going on at other points in the universe. Once a society creates the technology that could put them in touch with the cosmos, they are only a few hundred years away from changing their own paradigm from biology to AI.

Earth is actually a relatively young planet so some astrobiologists think if there are civilizations out there, they may be vastly more advanced than us.

Moores Law Intelligent Machines Trump Darwin

Sure, we got radio. Then we got computers. Then Moores Law turned digital computers into increasingly efficient machines, year-by-year. Machines improved very quicklymuch, much more quickly than Darwin. By 1900 you had radio; by 1945 you had computers, Seth Shostak, senior scientist at the SETI Institute, says. It seems to me thats a hard arc to avoid.

In her writings on AI and SETI, Schneider says, I pushed for agnosticism about machine consciousness. We just dont have any clue if consciousness could be non-biological.

But non-biological components could be added to conscious beings. Im actually concerned that technological civilizations may not last long, but if they do, theres a lot of reasons to believe theyll be post-biological, Schneider says. Theyll enhance their brains towards synthetic intelligence.

But, Shostak points out, planets are volatile, prone to eruptions and earthquakes and the effects of an aging star. Machines arent necessarily going to stay on a planet, he says. Planets are dangerous for machines.

While the definitions of the Singularity are as varied as peoples fantasies of the future, with a very obvious reason, most agree that artificial intelligence will be the turning point. Once an AI is even the tiniest bit smarter than us, itll be able to learn faster and well simply never be able to keep up. This will render us utterly obsolete in evolutionary terms, or at least in evolutionary terms.

Schneider is one of the few thinkersoutside the realm of science fiction that have considered the notion that artificial intelligence is already out there, and has been for eons.

Artificial intelligence is already out there, and has been for eons

In her study, Alien Minds, Schneider asks: how might aliens think? And, would they be conscious? I do not believe that most advanced alien civilizations will be biological, Schneider says. The most sophisticated civilizations will be postbiological, forms of artificial intelligence or Alien superintelligence.

I try to keep a very open mind about what were looking for. When SETI succeeds it wont be like science fiction where we find something like us, Jason Wright, an associate professor at Penn State, says.

A more accurate extrapolation of our future would note that Homo sapiens is in the throes of inventing our successors, observes Shostak in an email to The Daily Galaxy.You can spend a lot of money on a computer that can beat any human at such tasks as playing chess or poker. But by mid-century, well have generalized AI a computer that can outwit humans at any cognitive task, continues Shostak. And the first thing youd do is ask that machine to invent a better version of itself. By 2100 (actually, probably sooner) well have machines that have IQs greater than all humanity in total. Its a bit unclear what this means for humans, but if you talk to the AI types around here (Silicon Valley), they dont seem to doubt that by mid-century well have machines capable of writing the great American novel.

Advanced Aliens as Sythetic Intelligence

This trajectory, making smart machines in the same millennium we have made big strides in science and technology, is probably a general one, continues Shostak. And the obvious conclusion is that the really advanced aliens elsewhere in the cosmos are also synthetic intelligence.

The implications for SETI are manifold. Machines may be derived from organic intelligence, but once they exist theyre no longer restricted to a world with liquids and atmosphere, concludes Shostak. Wherever they can harvest energy (and a bit of matter) is just fine as a habitat. Our search for signs of cosmic company tends to focus on star systems that might harbor planetary cousins of Earth. But the majority of extraterrestrial intelligence is not likely to be situated there. This requires, as you can imagine, some other types of searching.

While we are aware that our culture is anthropomorphizing, Schneider imagines that her suggestion that aliens are supercomputers may strike us as far-fetched. So what is her rationale for the view that most intelligent alien civilizations will have members that are superintelligent AI?

Schneider presents offer two observations that support her conclusion for the existence of alien superintelligence.

The first is the short window observation: Once a society creates the technology that could put them in touch with the cosmos, they are only a few hundred years away from changing their own paradigm from biology to AI. This short window makes it more likely that the aliens we encounter would be postbiological.

The short window observation is supported by human cultural evolution, at least thus far. Our first radio signals date back only about a hundred and twenty years, and space exploration is only about fifty years old, but we are already immersed in digital technology, such as cell-phones and laptop computers.

Superintelligence

Schneiders second argument is the greater age of alien civilizations. Proponents of SETI have often concluded that alien civilizations would be much older than our own all lines of evidence converge on the conclusion that the maximum age of extraterrestrial intelligence would be billions of years, specifically [it] ranges from 1.7 billion to 8 billion years.

If civilizations are millions or billions of years older than us, many would be vastly more intelligent than we are. By our standards, many would be superintelligent. We are galactic babies.

But would they be forms of AI, as well as forms of superintelligence? asks Schneider. Even if they were biological, merely having biological brain enhancements, their superintelligence would be reached by artificial means, and we could regard them as being artificial intelligence. But I suspect something stronger than this: I expect that they will not be carbon-based. Uploading allows a creature near immortality, enables reboots, and allows it to survive under a variety of conditions that carbon-based life forms cannot. In addition, silicon appears to be a better medium for information processing than the brain itself.

Neurons reach a peak speed of about 200 Hz, which is orders of magnitude slower than current microprocessors. While the brain can compensate for some of this with massive parallelism, features such as hubs, and so on, crucial mental capacities, such as attention, rely upon serial processing, which is incredibly slow, and has a maximum capacity of about seven manageable chunks.

Further, the number of neurons in a human brain is limited by cranial volume and metabolism, but computers can occupy entire buildings or cities, and can even be remotely connected across the globe. Of course, the human brain is far more intelligent than any modern computer. But intelligent machines can in principle be constructed by reverse engineering the brain, and improving upon its algorithms.

The Daily Galaxy via Avi Loeb, Seth Shostak, and Susan Schneider Alien Minds PDF and SETI Institute

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Something Similar to the AI Revolution May Have Happened at Other Points in the Universe - The Daily Galaxy --Great Discoveries Channel

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Global AI and Data Strategy for International Institutions, National Governments and Global Corporations – BBN Times

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Global AI and Data Strategy for International Institutions, National Governments and Global Corporations

As a key member of EU AI Alliance, the EIS Encyclopedic Intelligent Systems Ltd pioneered a Global AI and Data Strategy, to be proposed to the EU Commission as well as International Institutions, National Governments and Global Corporations.

EIS is proposing the Global AI and Data Strategies for International Institutions, National Governments and Global Corporations.

TheGlobal Artificial Intelligenceis emerging as the next General Purpose Technology and General Scale Intelligent Platform.

"AI is a general-purpose technology that has the potential to improve the welfare and well-being of people, to contribute to positive sustainable global economic activity, to increase innovation and productivity, and to help respond to key global challenges. It is deployed in many sectors ranging from production, finance and transport to healthcare and security".

Today's AI Technology is faster, stronger, and over-specialized every day, compromising over-specialized human jobs, as well as human values, relationships, deeds and legacy.

Machines as computers and computerized equipment, like data analytics systems, cognitive robots, and ML systems, programmed to learn like humans, come with better, more efficient, cost-effective solutions for a set of specific problems.

Today specialized robots read the entire internet, run a factory, play games, translate languages, compose music, paint pictures, clean houses, drive our vehicles, disable bombs, provide prosthetic limbs, spot cancer, support surgical procedures, manufacture products, entertain, teach and train us.

Today's specialized AI, automation and robotics development tends to fixate on profit- or warfare-accelerating technologies weaponized AI, digital surveillance, facial recognition, automation software, drones, and technologized weapons and their capacity to serve the wealthy and powerful in a time of ecological collapse, the pandemic, health crises, mass unemployment, widening inequality, and tech billionaires rapidly expanding their wealth.

As a Global Scale Platform and General Purpose Technology, AI Technology "has the potential to improve the welfare and well-being of people, to contribute to positive sustainable global economic activity, to increase innovation and productivity, and to help respond to key global challenges".

It is critically important to know what AI is all about, its nature and principles, scale and scope, in order to avoid defective AI Strategiesused in corporations around the world and

National Data and AI Strategies marked with destructive assumptions of narrow, weak and subjective models of Data, AI, ML, Automation and Robotics.

"Governments around the world see artificial intelligence as a nation defining capability. Countries are looking to their education systems to develop world-class generational AI capability while ensuring equity, privacy, transparency, accountability, economic and social impact".

AIis the science and engineering of intelligence or intellect, its nature, models, theories, algorithms, architectures, methods, techniques, technologies, platforms and applications.

Global AI is a Global Scale Platform and General Purpose Technology, being all about three interrelated universes:

1. Reality/world/environment

2. Intelligence/intellect/mind/understanding

3. Data universe, real world data, human generated data, machine-generated data, IoT data

They are all represented, mapped, coded and processed by computing machinery of any complexity, from digital services to smart phones to the internet and beyond.

Real and non-anthropic AI implies a virtually unlimited mentality, sensation and perception, learning and understanding, as well as a digitally unlimited intelligence, knowledge, power and ubiquity.

Most of them are sold as "end-to-endplatformfor data science and machine learning where you can build and deploy models quickly and manage your ML workflows at scale", just being advanced software libraries, like Google AI Cloud.

Real AIis to automate all and every cognitive and intellectual tasks, including data scientists and machine learning jobs.

Today, data scientist jobs are to spend 80% of their time munging, validating and formatting data, cleaning, moving, checking, organising data before even actually using or writing a single algorithm from a set of traditional statistical algorithms or traditional analytic methods or ML .

And different algorithms learn in different ways, which performance improves as new data regarding observed responses or changes to the environment are fed to the machine, thus increasing its intelligence over time.

Again, machine learning jobs are to automatically detect data patterns by applying selected algorithms and known rules to:

Categorize or catalog things (people, objects, events, etc.)

Predict outcomes or actions based on correlations and identified patterns

Identify unknown patterns and relationships

Detect anomalous or unexpected behaviors

So, the output of a machine learning algorithm is entirely dependent on the data it is exposed to. Change the data, change your model, configure or tune the algorithms parameters for optimal performance, over-tune, retrain or discard; all for lacking any prime models and background knowledge, as in AI Model.

It covers all ML applications, types and basic techniques.

As common applications, from self-driving cars to virtual assistants to facial recognition to high-volume trade to resource optimization to disease or fraud detection.

As common learning techniques:

Supervised learning

Bayesian Statistics Decision Trees Forecasting Neural Networks Random Forests Regression Analysis Support Vector

Semi-supervised learning, the inputs and outputs provide the general pattern the machine can extrapolate and apply to the remaining data.

Unsupervised Learning Affinity Analysis Clustering Clustering: K-Means Nearest-Neighbor Mapping

In unsupervised learning, the machine studies data to identify patterns; determines correlations and relationships by parsing the available data, while AI identifies causal patterns, determining real relationships by analyzing the datastreams.

Reinforcement Learning Common Techniques Artificial Neural Networks (ANN) Learning Automata Markov Decision Process (MDP) Q-Learning

Reinforcement learning is like teaching someone to play a game, where the rules and objectives are clearly defined, and exploring different actions and observing resulting reactions the machine learns to exploit the rules to create a proper outcome.

Add here as integral parts of [global] AI such capacities as:

Deep learning, the basis of advanced machine learning systems,

Natural language processing (NLP) and Natural language generation (NLG) to understand and communicate speech, written language, and voice commands.

NLP tools simply perform translation, mapping the words in a command to a dictionary, while AI understands: inferring meaning or intent or context to inform sensible actions or rational or emotional responses.

Cognitive computing as a platform and human-machine interface emulates human behavior using natural language processing, advanced machine learning algorithms (as deep learning) and NLP, NLU, and NLG.

AI is to provide an unlimited scope and scale and generality, all with logic and accuracy, understanding and learning, interpretation and transparency, causation and optimal performance.

AI algorithms perceive the world, its denizens, observing structures, behaviors or the environment, to detect causal patterns, understanding causal relationships, to make generalizations and infer explanations or theories or decisions or causation.

Data science and Machine learning requires the data scientist programming the algorithm, human application of the scientific method and human communication skills. There required humans to answer questions such as: What are we trying to predict? Are resulting correlations predictive? Causal? Are there inherent biases? Can the model and results be applied in real life? What is the proper response?

For instance, when a pattern emerges with global climate or politics or health what is the proper next step or steps?

If Data science and Machine learning make a synergistic exercise between man and machine, Real, True or Global AI Renders Specialists Obsolete, be it data scientists and subject matter experts, analytics, programming engineers or business subject matter experts.

This is the new truth of our new future, like it or not.

What today's AI platforms and applications are badly missing, besides of being overspecialized, from video games to object, speech, face, or sentiment "recognition"?

It is one thing making your really intelligent:

UNDERSTANDING OF THE WORLD AND ITSELF, what makes real mind, intellect, intelligence, and self-knowledge.

The Global AI, as an understanding, truthful and trustworthy AI Platform, will consist of the following parts:

Machine World Model (The WORLD.Schema, World Entities Global REFERENCE; Universal Human-Machine Ontology; USECS, Universal Standard Entity Classification SYSTEM);

Master Algorithm (for symbolic and sub-symbolic machine learning algorithms, as deductive and inductive reasoning, connectionism, evolutionary computation, Bayes' theorem or analogical modelling; Global Causal Network);

World Data Framework (WorldDataArchitecture);

Global Knowledge Base (WorldKnowledgeNet, or WorldNet, embracing WordNet, ConceptNet, MindNet, TextNet, ImageNet, SpeechNet, ActionNet, PeopleNet, SocialNet, InterNet, CityNet, IndustryNet, NationNet,PlanetNet, SpaceNet);

Domain Knowledge Bases (DomainKnowledgeNet);

Narrow Superintelligence Models (ML & DL & ANN Systems, Google AI, Facebook AI, Microsoft AI, Weak Artificial Intelligence Platforms promoted as Machine learning as a service (MLaaS).

MLaaS is a set of cloud services that ML providers offer as a part of cloud computing services. MLaaS providers offer tools including face recognition, data visualization, application programming interface (APIs), predictive analytics, natural language processing, and deep learning. The main attraction of these services is that, like any other cloud service, users can get started with a machine learning system without the need to install software or provision of the servers. Infrastructural concerns like model training, data pre-processing, model evaluation, and ultimately, predictions, can be alleviated with the help of MLaaS.

Also, it is essential to realise that building narrow quasi-AI systems is only a small part of the global AI system.

Amazon Machine Learninghelps automatically classify products in your catalogue using product description data as a training set.

The real AI automatically classifies any things in the world using entity description data as training sets.

One of the greatest breakthroughs of Global AI is to allow computers to analyze all types of data, quantitative or qualitative, structured or unstructured, with access to the whole data universe, an infinite universe of information, an open world of datastreams.

Shifting from a cloud-centric AI to the on-device AI, a global AI model is passing a distributed ML/AI/DL learning over wireless networks, to scale the intelligence for mass adoption of AI.

A central or edge cloud sends a state-of-art global AI model to the devices via low-latency and high-capacity 5 G.

Next, each device collects personal data and performs on-device training.

On-device AI capabilities increase exponentially, along with improvements in algorithms and software.

A unifying connectivity fabric for future innovation A platform for existing, emerging, and unforeseen connected services.Transforming how the world connects, computes and communicates

When you merge AI and IoT, you getthe Artificial Intelligence of Things, or AIoT a revolutionary combination that can transform industries, elevate customer experiences and accelerate business performance exponentially. Without AI capabilities, IoT devices and the data they produce would have limited value.

The study was conducted by IDC and sponsored by SAS, with the support of Intel and Deloitte Consulting. They asked 450 business leaders about the impact of artificial intelligence combined with the Internet of Things and found clear evidence of momentum behind this emerging combination of technologies the Artificial Intelligence of Things (AIoT). According to the study respondents, AIoT capabilities are already generating results.

You can think of internet of things devices as the sensory systems of digital nervous system while AI is its brain/mind/intelligence, integrating, coordinating, controlling such "things" as the edge computing nodes, as smart phones, smart cameras, wearable devices, smart TVs, smart drones, refrigerators, digital assistants, sensors, self-driving cars and other equipment, all connected to the Global AI internet Platform.

Practical Examples of 5GAIoT:

The Recommendation on Artificial Intelligence (AI) the first intergovernmental standard on AI was adopted by the OECD Council at Ministerial level on 22 May 2019 on the proposal of the Committee on Digital Economy Policy (CDEP).

It specifies that "Artificial Intelligence (AI) is a general-purpose technology that has the potential to improve the welfare and well-being of people, to contribute to positive sustainable global economic activity, to increase innovation and productivity, and to help respond to key global challenges. It is deployed in many sectors ranging from production, finance and transport to healthcare and security".

Recommendation of the Council on Artificial Intelligence

Artificial Intelligence (AI) technologies and tools play a key role in every aspect of the COVID-19 crisis response. This Recommendation provides a set of internationally-agreed principles and recommendations that can promote an AI-powered crisis response that is trustworthy and respects human-centred and democratic values.For further information on this Recommendation and its relevance to COVID-19 response and recovery, see the background information below.

On the proposal of the Committee on Digital Economy Policy:

1. Thepurpose of this recommendation should be understood as follows:

AI system:An AI system is a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems are designed to operate with varying levels of autonomy.

AI system lifecycle:AI system lifecycle phases involve:i)design, data and models; which is a context-dependent sequence encompassing planning and design, data collection and processing, as well as model building;ii)verification and validation;iii)deployment; andiv)operation and monitoring. These phases often take place in an iterative manner and are not necessarily sequential. The decision to retire an AI system from operation may occur at any point during the operation and monitoring phase.

AI knowledge:AI knowledge refers to the skills and resources, such as data, code, algorithms, models, research, know-how, training programmes, governance, processes and best practices, required to understand and participate in the AI system lifecycle.

AI actors: AI actors are those who play an active role in the AI system lifecycle, including organisations and individuals that deploy or operate AI.

Stakeholders:Stakeholders encompass all organisations and individuals involved in, or affected by, AI systems, directly or indirectly. AI actors are a subset of stakeholders.

The Recommendation identifies five complementary values-based principles for the responsible stewardship of trustworthy AI and calls on AI actors to promote and implement them:

In addition to and consistent with these value-based principles, the Recommendation also provides five recommendations to policy-makers pertaining to national policies and international co-operation for trustworthy AI, namely:

The Recommendation also includes a provision for the development of metrics to measure AI research, development and deployment, and for building an evidence base to assess progress in its implementation.

Global AI is a Global Scale Platform and General Purpose Technology and a unifying framework for Weak AI, ML and DL.

AI is the science and engineering of intelligence or intellect, its nature, models, theories, algorithms, architectures, methods, techniques, technologies, platforms and applications.

Global AI is a Global Scale Platform and General Purpose Technology, being all about three interrelated universes: reality/world/environment; intelligence/intellect/mind/understanding; its data universe, all represented, mapped, coded and processed by computing machinery of any complexity, from digital services to smart phones to the internet and beyond.

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Global AI and Data Strategy for International Institutions, National Governments and Global Corporations - BBN Times

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