Trump to Kim:
Let’s just make this a flash in the pan, not a flash in the sky.
Trump to the media:
Fake news – it’s my story and I’m sticking to it!
This drama about statues is a hiding in plain sight!
I had a word to my Whitehouse maintenance crew. All my doors are revolving doors now.
When it comes to meetings with heads of state, I keep my trusted advisors close and my junior family closer.
Trump to women:
Comb over and see me sometime!
In the very topical current debate about UK austerity, what’s was missing from the choice (not the fake ‘choice’ between austerity and no austerity, but the hard choice between social and economic austerity) are two important other options (Productivity improvements and Philanthropy).
To elaborate, the current debate about austerity should be about the mix of four things (1) social austerity (realisable tax rises for some or all current UK tax payers), (2) economic austerity (alleviating current austerity through borrowing to burden future citizens with greater austerity (3) productivity improvements – workers choosing (thru self study to up-skill and thru after hours volunteering to develop new skills) to raise their productivity to ultimately alleviate austerity. And (4) Philanthropy – particularly high net worth individuals forming consortiums to alleviate UK social deprivation thru charitable foundation activity.
The best solution will probably come from an optimal combination of all four things.
One great opportunity with Philanthropy is developing ‘hospital charities’ to build city hospitals that are entirely charity-funded and can take some ongoing pressure off the NHS, care homes and private hospitals. Such hospitals could offer a more selective range of treatments (target elective surgeries with long waiting lists?) than the NHS. Essentially this is a volume supply-solution, not a government funding solution.
Food for thought?
If the pace of technological advancement is speeding up, the pace of human consensus-building cannot afford to slow down.
At some point, AI decision-making will have to intervene. AI concerned with countering the ‘natural’ tendencies towards wealth concentration, human corruption and human greed (greedy because we can be).
Will religion, which used to counter these things, cope with an AI world?
I recently read an interesting article (see weblink above) by Jonathan Rochelle. Mr Rochelle is the head of the product management team for Google’s education outreach arm, called Google for Education.
Expert machine programming/AI development helps machines learn and machines (increasingly) help students learn. The question is, will conventional teaching cope?
Without doubt, machine learning is high growth off a low base. With a good deal more investment-return uncertainty, machine-assisted student learning is high growth off a low installation base.
Meanwhile, in the land of traditional education methods, the effectiveness of human teachers in fostering high learning growth from students is experiencing far more sluggish improvement. Some of the reasons arguably include the following (in no particular order):
(1) a lack of agreement inside schools on what’s causing the attainment gap problem. Is it a shortage of the best teachers, or the best teaching practices? Is it the poor parent-school partnership or the lack of school boundaries?
(2) resistance to learning from the students. Students and their parents may have a different view from the school about the best teaching style, or the best learning style for the student. Are teachers, who are passionate about their subject, making it relevant enough to the students’ future lives?
(3) the need to build suitable physical facilities to support student learning. Will far more conventional classrooms need to become computer suites, perhaps with virtual reality apparatus?
(4) budget funding constraints
(5) confusion on the institutions’ own goals (too many targets?).
As online education software increasingly provides a more complete teaching solution in the classroom, what can human educators do? Start planning now for the changeover (move to a variable cost workforce and shorter shelf-life classroom facilities), immerse students in the online systems world (so student graduates can partner with it later) and offer school curriculum choices in subjects that will be slowest to become obsolete i.e. subjects that remain valued by future employers who hire student graduates.
Lastly, how long before the Chinese equivalent of Google matches Google’s audacious plans for transforming global education?
Education and Work
Students stay at school longer, then graduate to do what? Make better and more informed decisions. Decisions on the things that AI can’t or won’t yet do.
People concede that they need the extra education to understand analysis. Year 14 Maths is compulsory.
Jobs open up reconciling and debugging AI systems, until such time as they merge. Counselling, drug rehab and mental health jobs prosper.
Politics and governance
Politics between 2020 and 2030 becomes largely concerned with social wealth distribution. Taxation and investment decisions are reformed.
Political referendums become more prevalent as the technology to host them becomes more cost-effective, but then disappear as governance identifies that issues can’t be resolved piecemeal, but that wholesale ecosystem policy reform is needed.
Hedge fund AI resources are harnessed to government policy making? How? Indirectly via consulting firms and higher education computer resources. Governments commission most complex policy problems to be solved using AI. AI resources are rented as needed to deliver the output.
The serious and super-complex problems become resolved by groups of AI’s acting together. Monitoring systems progressively merge.
Trade becomes less physical movement and more trade credits for the IP on items exported and imported between countries.
AI performs increasingly more of the services that currently occur between people.
Most financial currencies consolidate to align with the half a dozen large trading blocs that emerge.
Celebration of human endeavour is highlighted, tapping the human need to cheer the underdog. e.g. music contests, the Olympics and sports leagues, even as AI controls more of our functioning World.
Basic healthcare receives priority attention. People are actively counselling about healthy lifestyle choices.
Junk food and confectionery companies sponsor medical research into fat cell inhibiting medications and finally succeed, making their profits soar.
Mental health counselling aided by AI diagnostics achieves a quiet revolution, creating a happier but more aware society.
We’d plan tax reform BEFORE income distribution undergoes the full onslaught of machine automation.
The UN would fund and deploy aerial nano-bots that fly around the World destroying unregistered guns.
Religious opinion leaders would MODERNISE religious doctrine to accommodate future technological change.
We’d REFORM things in society before the flat part of the (technology) exponential curve turns into the steep part of the exponential curve.
Government social services would MANAGE people’s expectations in a honest way upfront, not make excuses in a patronising way afterwards. Prevention is usually cheaper that cure.
We’d APPOINT lobby groups to represent the animal kingdom and not pretend that humans and corporates have all the votes and all the freedom to act.
We’d ENCOURAGE people to self-learn to cope with global changes in progress.
The day AI takes over human medical research, is the day we surrender control of our destiny.
Flash trading of financial futures is split-second trading on our own futures.
Gene therapy (GM that removes cruelty and indifference) was never needed so desperately on a mass scale, as when there is human suffering, rainforest deforestation, ocean pollution and global warming.
Politics and credit – the art of stealing opportunity from the future to buy votes and gadgets in the present.
The borders we sit behind are insignificant compared to the technology, fame and entertainment we seek.