Saturday, 5 September 2026

Penguin researchers gather at Phillip Island under shadow of bird flu.

Extract from ABC News

By Lily Kristanto

A group of penguins coming onto the sand from the water and onlookers watching in the background.

Global experts have gathered at Phillip Island for the 12th International Penguin Conference. (Supplied: Phillip Island Nature Parks)

In short: 

Global penguin experts have issued a warning about the threat climate change poses to the species.

The experts also discussed H5 bird flu at a conference on Victoria's Phillip Island.   

What's next?

Scientists are calling for sustained long-term research, stronger international collaboration and conservation action to protect the birds.

The world's leading penguin researchers have issued a stark warning about the effects climate change will have on penguin habitats.

Russian drone attack hits Ukraine's SBU headquarters in Kyiv, injuring seven.

Extract from ABC News

2026-09-04T142059Z_1953815339_RC2DCNA8CIS9_RTRMADP_3_UKRAINE-CRISIS-ATACK-SBU

Smoke rises from the SBU headquarters in Kyiv. (Reuters: Gleb Garanich)

In short: 

A Russian drone targeted the headquarters of Ukraine's SBU security service, Ukrainian President Volodymyr Zelenskyy said. 

The attack marks a new escalation, as throughout Russia's lengthy war on Ukraine, government buildings have rarely been damaged in drone and missile strikes.

At least seven people were injured and Kyiv has vowed a "tangible" response. 

A Russian drone hit the headquarters of Ukraine's SBU security service in Kyiv, President Volodymyr Zelenskyy has said, vowing to retaliate as Moscow kept up its constant air attacks on the capital for the tenth day.

What AI is doing to the way we think.

 Extract from Eureka Street

What AI is doing to the way we think.

 

Debate about artificial intelligence has, by now, settled into two established grooves. The first is economic, concerning which jobs will go, which will change, and what the productivity dividend might be. The second is environmental, concerning the electricity that data centres draw, the water that cools them, and the minerals dug up to build them. Both of these matter, and both deserve the scrutiny they receive. But they share an assumption: each approach treats artificial intelligence as a new input into a world whose purposes are already fixed, and considers only what it will cost us to run.

There is a third question, which is harder to see and, I believe, more consequential than either. It is not what these systems will do to the labour market or the power grid, but what they will do to us as knowers: to how we come to believe things, what we accept as understanding, whom we trust, and whether we keep the habits of mind on which a thinking society depends. Call it the epistemological question. A society can restructure employment and can, with effort, find the energy. A society that loses its grip on the difference between information and understanding has lost something far harder to recover, not least because it may lose the very means of noticing the loss.

In Plato’s Phaedrus, the god Theuth offers the Egyptian king the gift of writing, praising it as a remedy for memory and wisdom. The king is unpersuaded. Writing, he says, will breed forgetfulness because people will trust in marks on a page instead of exercising memory; and it will give the appearance of wisdom in place of its reality because readers will take in a great deal while understanding little. Every technology of the word since has drawn the same complaint, and in each case the alarm was partly overdone because each of those tools passed on, stored or pointed to words that some human being had written and could, in principle, answer for.

Generative AI is different in kind. It does not fetch an existing text. It composes one, fresh and fluent, in response to a prompt, and no one has written it. This is the first and least noticed of its effects. When a person tells you something, they are staking a claim: they represent themselves as knowing it, you can ask them how they know, and they can be believed or doubted according to their honesty and their record. Almost everything we know about the wider world reaches us this way, through the testimony of others, held together by that thread of accountability. A machine’s output wears the grammar of testimony while lacking its substance. The sentence has the shape of a claim, but no one is making it. There is no knower behind it, no one to ask for grounds, no reputation on the line. We receive assertion without an asserter, and we are tempted to extend to it the trust we reserve for a candid and competent informant. That is a mistake, and a natural one.

It is made worse by a second effect, in which fluency has been cut loose from truth. The philosopher John Searle once imagined a person locked in a room, shuffling Chinese symbols according to a rulebook and producing flawless Chinese without understanding a word. A large language model is something like that room on an enormous scale, arranging language by statistical pattern, with no purchase on what the words are about. Some philosophers have recently argued, borrowing Harry Frankfurt’s precise use of the term, that its output is best understood as ‘bullshit’, not lies. Lying requires caring about the truth in order to conceal it, but speech produced with no concern for the truth at all is properly described as ‘bullshit’. The hazard is subtle. In ordinary life, we treat fluency, confidence and coherence as signs that someone knows what they are talking about. These systems produce all three in abundance, whether or not the underlying claims are sound, because they are built to imitate the form of a good answer rather than to reach a true one. The polish is mistaken for knowledge, and there is no knowledge beneath it. Researchers have begun to call this the illusion of understanding.

Here, the older tradition earns its keep because knowing was never one thing. Aristotle distinguished several kinds, and the most human of them he called phronesis, practical wisdom: the judgement that reads a particular situation for what matters in it, formed slowly through experience by someone who must live with the consequences. Thomas Aquinas drew a further line between reasoning, the step-by-step movement from premise to conclusion, and understanding, the mind’s actual grasp of what is true, which reasoning merely serves. On this old and durable picture, to know something is to stand in a relation to reality through meaning. A language model stands in no such relation. It works on the outward signs of words, never on the things they name. It can imitate the motions of reasoning with uncanny skill while grasping nothing. The danger is not that the imitation is poor. It is that the imitation is superb, that we mistake it for the real thing, and that we hand over to it the very work that understanding is.

That handing over is the third effect, and the one that should trouble anyone concerned with public life. Offloading mental labour is neither new nor bad in itself; we have always used notebooks, maps and calculators to extend what our minds can do. But there is a line between delegating a defined task while keeping hold of the thinking and surrendering the thinking itself, accepting the machine’s answer as one’s own with barely a glance. Early studies, which should be read with care, point in the wrong direction, indicating that heavier reliance on these tools tracks with weaker critical thinking and that people who lean on them to complete work often do worse once the crutch is removed. Intellectual capacities are habits. They are kept alive only by use, and they waste away without it. The philosopher of technology Shannon Vallor calls AI a mirror that reflects our own intelligence back at us, and warns that a mirror can flatter and distort as readily as it can inform.

This has real-world implications for policy and the professions. Medicine, law, social work and public administration all turn on practical wisdom, on the seasoned reading of the particular case. Consider the experienced clinician who senses that a patient’s account does not quite fit the obvious diagnosis, or the caseworker who judges that a struggling family needs support rather than surveillance. That perception is not a rule that can be written down and handed to a machine; it is wisdom, built case by case, and it is answerable to the person in front of you. Automated decision support can offer a recommendation, but not the deliberative judgement that ought to sit beneath it. A practitioner who defers to the system by habit may find, in time, that the judgement the institution exists to provide has quietly thinned. The deskilling of the hands is visible. The deskilling of judgement is not, until the moment it is needed and found missing.

 

“The measure of these machines is not only what they can produce, but what they do to our capacity to understand. That measure belongs at the centre of the debate about artificial intelligence, not at its edge.”

 

There is, finally, the shared environment in which all of this happens. As generated text floods in, it grows harder to tell human testimony from machine composition, and the models themselves degrade as they feed on their own output. When no one can be sure whether a photograph, a document or a quotation is genuine, the default trust on which public conversation runs begins to fray. The common ground of public knowledge, like any commons, can be fouled and depleted. Meanwhile, the tools that appear to democratise knowledge concentrate real power in a handful of firms, on whose private choices the terms of public reasoning increasingly depend.

None of this is an argument for refusal. These systems are genuinely useful for retrieval, drafting and exploration, and pretending otherwise would persuade no one. But it is an argument for using them in a way that guards the thing they can quietly erode: treating their output as a prompt for inquiry, provisional and to be checked, rather than as a verdict to be accepted; keeping human judgement where practical wisdom is required; and designing institutions that resist lazy deference. Teach the young, above all, to notice the gap between plausibility and truth. And recover, in ourselves, the plain distinction between having information and understanding something, on which the whole matter turns.

The measure of these machines is not only what they can produce, but what they do to our capacity to understand. That measure belongs at the centre of the debate about artificial intelligence, not at its edge.

 


 

Dr Tom Keating is a policy consultant and academic author. He writes on public policy, social administration and the history of ideas.

Friday, 4 September 2026

Rockhampton Zoo to send baby chimpanzee elsewhere after failed reunion with mother.

Extract from ABC News

By Katrina Beavan

Baby Cassie to find new family. (Supplied: Facebook/Rockhampton Zoo)

In short:

Zookeepers had to hand-rear baby Cassie after the chimpanzee was dropped by its mother hours after birth, breaking its leg.

Once healed, attempts to reunite the primate with its mother and aunt resulted in aggression.

What's next?

The zoo said it's in Cassie's best interest to send the primate elsewhere as it needs to grow up around fellow chimps.

A central Queensland zoo will send a baby chimpanzee elsewhere after a failed reunion with its mother.

UN climate agency warns El Niño may be strongest ever recorded.

Extract from ABC News
Firefighters attempt to stamp out a wildfire, which is burning through parkland.

Officials in Indonesia say El Niño conditions have raised the risk of more fires during the peak dry season. (AP: East Java Regional Disaster Mitigation Agency)

In short:

The El Niño weather phenomenon is set to intensify further into 2027 and could be the strongest ever, says the World Meteorological Organization.

The UN climate agency says this raises risks of extreme weather into next year.

What's next?

The WMO says it is highly likely that El Niño will continue through to February.

El Niño could be the strongest since records began four decades ago, the United Nations' climate agency has warned, with the UN chief warning the world is in the "danger zone of extreme weather".

Thursday, 3 September 2026

Winter delivers record low snow and unprecedented warmth to Australian Alps.

Extract from ABC News 

By ABC meteorologist Tom Saunders

Skiers on a snowfield in Perisher.

Skiing in early September is restricted to small areas of artificial snow like the Front Valley section of Perisher. (Supplied: Telemark Phat)

Wednesday, 2 September 2026

Israeli strikes kill four in Gaza as military says it arrests Hamas militant.

 Extract from ABC News

A group of men stand around the wreckage of a car.

Two vehicles were hit and reduced to twisted wreckage in Gaza City. (Reuters: Dawoud Abu Alkas)

In short:

Officials in Gaza say Israeli airstrikes in Gaza City have killed at least three Palestinians, including two children.

Israeli Defence Minister Israel Katz says a senior Hamas militant was arrested.

A third child was killed in a separate incident in central Gaza.