Godless yet good: Rules and reasons are not enough for an ethics without God | Aeon Essays, by Troy Jollimore

Source: Godless yet good: Rules and reasons are not enough for an ethics without God | Aeon Essays, by Troy Jollimore

The fact that ethical commitments, in some people’s lives, find a natural place in the context of religion does not imply that such commitments can only be grounded and motivated in religion, nor that a universe can only contain morality if it also contains God.

The reality is, no system of secular ethics has managed to displace religious approaches to ethics in the contemporary popular imagination. It is worth asking why.

Kantian and utilitarian approaches have been both fruitful and influential, and they get a lot of things right. But they share an impersonal, somewhat bureaucratic conception of the human being as a moral agent. The traits that are most highly prized in such agents are logical thinking, calculation, and obedience to the rules. Personal qualities such as individual judgment, idiosyncratic projects and desires, personal commitments and relationships, and feelings and emotions are regarded as largely irrelevant. … This is in stark contrast to most religions, which tend to preserve the deep connection between the ethical and the personal.

At the foundational level, ethics is built not on a system of rules, but on individual human beings who possess character, judgment, and wisdom.

Faced with a situation that demands compassion, the virtuous person responds, spontaneously, with compassion; she doesn’t need to reason herself into it.

This emphasis on being attentive to concrete reality tallies with the idea that it is the emotions (compassion and sympathy in particular), rather than abstract rational principles, that are doing the motivating when it comes to ethical behaviour. … After all, what can count as a moral reason in one context might fail to be a reason in another, or might even be, in certain contexts, a reason pointing in the other direction.

Actions, then, are called just and temperate when they are such as the just or the temperate man would do; but it is not the man who does these that is just and temperate, but the man who also does them as just and temperate men do them.

Aristotle, Nicomachean Ethics

For Aristotle, ‘practical wisdom’ meant the kind of sophisticated and judicious individual judgment that is necessary to deal with the world’s moral complexity. The virtuous person is the person who is capable of judging well, and on this sort of view the only possible definition of moral rightness makes explicit reference to such a person. … Even if a set of rules could pick out the right action in every situation — something Aristotle denies — we would still need individuals possessed of great practical wisdom to understand why the right action in any given case is the right one, to know with what attitude it ought to be performed, to know precisely what motive should be lying behind the action and prompting us to act.

This then is a secular ethics that emphasises the significance of self-cultivation, individual judgment, and emotions such as compassion, as well as recognising the usefulness of moral exemplars — teachers who are paradigms of wisdom, who inspire us and whom we can try to imitate.

Morality can get along just fine without God. But it cannot possibly get by if it neglects and ignores the very things that make human life meaningful and precious.

Deep Reinforcement Learning Doesn’t Work Yet, by Alex Irpan

Source: Deep Reinforcement Learning Doesn’t Work Yet, by Alex Irpan

here are some of the failure cases of deep RL.

Deep Reinforcement Learning Can Be Horribly Sample Inefficient

If You Just Care About Final Performance, Many Problems are Better Solved by Other Methods

Reinforcement Learning Usually Requires a Reward Function

Reward Function Design is Difficult

Even Given a Good Reward, Local Optima Can Be Hard To Escape

Even When Deep RL Works, It May Just Be Overfitting to Weird Patterns In the Environment

Even Ignoring Generalization Issues, The Final Results Can be Unstable and Hard to Reproduce

The way I see it, either deep RL is still a research topic that isn’t robust enough for widespread use, or it’s usable and the people who’ve gotten it to work aren’t publicizing it. I think the former is more likely.

My feelings are best summarized by a mindset Andrew Ng mentioned in his Nuts and Bolts of Applying Deep Learning talk – a lot of short-term pessimism, balanced by even more long-term optimism.

Just Teach My Child The Maths, by James Tanton

Source: Just Teach My Child The Maths, by James Tanton

It is astounding to me that mathematics – of all school subjects – elicits such potent emotional reaction when “reform” is in the air.

So … Can we educators work to understand this sentiment, put the right words to it, and fully engage in conversation about it? Can we be fully transparent about our approaches and intents and listen to, honor, learn from, and respond to parental and societal reaction with clarity and grace?

Of course we can and of course we must.

We need to communicate the true goal of given exercises to parents.

If we are going to ask students to practice mathematics ideas, we need provide interesting or meaningful examples with which to practice them.

We need to be sure not to insist on one approach when analyzing a problem. We need to encourage students to generate efficient practices.

Work to have students show their work only when there is work worth showing. Let’s honor our students’ intellectual capabilities and time!

Make showing/explaining your work interesting.

If we truly acknowledge there is a change in mathematics education – as this internet piece purports to demonstrate – then we need to stand by what we value: understanding, flexibility of thought, innovation, problem-solving, reflection on solutions and approaches, and the search for efficiency and elegance.

We must acknowledge that testing agencies in most parts of the world have not yet caught up with what we educators value. We must find the means for students to experience tremendous success on all fronts – with speed testing and with deep understanding and mathematical innovation.