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~ This time I will talk about “Cherry Picking Science”, with my guest Robert Nasi Robert Nasi Director of Science at CIFOR-ICRAF ~ Over my long career in sustainability, I have rarely seen scientific insights on climate change fully integrated into corporate strategies. Remember, that corporations are basically, governments,...

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David Chalmers on why consciousness is science's greatest unsolved problem: Science has mapped subatomic particles, distant stars, the chemistry of life yet it remains almost completely silent on the one thing we know most directly: our own conscious experience. In a rare early interview, philosopher David Chalmers explains why: "Consciousness is at once the most familiar thing in the world and the most mysterious. Consciousness is what we start with when it comes to knowing the world. I know that I exist. I know that I'm conscious. Everything else is secondary." And yet, despite this intimacy, consciousness sticks out like a sore thumb in the scientific picture. Chalmers points to a deep irony: science has made extraordinary progress on phenomena that are extraordinarily remote: subatomic particles, distant galaxies, the molecular machinery of biology while making almost no progress on the one thing closest to us. Why? Because science, by design, eliminates the subjective. "To do proper science, you have to be objective. You have to eliminate anything subjective from the picture." He uses heat as the perfect example. Physics gives us a complete account of heat molecules in motion, energy transfer, temperature gradients. It explains every objective aspect of the phenomenon. But it never explains what hotness actually feels like. "Science doesn't actually give a theory of the conscious feeling of hotness." This is what Chalmers calls the Hard Problem of Consciousness. You can trace every neural signal from your heat sensor along your nerves into your brain and still have explained nothing about the subjective experience of feeling warm. As interviewer Jeffrey Mishlove puts it: you can't even do science without a conscious mind to observe, interpret, and make meaning of data. Consciousness is the precondition for science itself and yet science has no framework to account for it. Chalmers' conclusion is striking: The methods of science may need to be expanded. Consciousness might not be something science explains away. It might be something science has to learn to start with.

Mateus — eu/acc 🇪🇺

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BREAKING IN WASHINGTON: Dr. Fauci tells Congress he had to contradict President Trump on the podium because he felt it was his responsibility to tell the American people the truth, to tell them about what science actually said. He was responding to a leading question by Democratic Congressman Jared Moskowitz (Jared Moskowitz). WATCH Question: Dr. Fauci, you talked about how we live in partisan times. A lot of misinformation and colleagues on this body said you should be charged and found guilty. Of course, the only one that's happened to is your former boss. But the question I have is when you saw a lot of that disinformation, whether it was we can use a disinfectant to do like a cleaning or do light in the body, or that China is working super hard, President Xi's got it contained. All of this stuff that was being put out, were you concerned? What was your feeling at that time working in the administration, seeing that come from the podium? Answer: Well, I was very frustrated by that. It was very clear I was put in a very difficult position that I didn't like of having to contradict publicly the president of the United States. I took no great pleasure in that, but I felt it was my responsibility to preserve. Question: He must have thought you did a great job. He gave you a commendation right before he left. Answer: Well, I felt it was my responsibility, you know, as to preserve my own personal integrity and my major responsibility to the American public to tell them the truth. And if I could just take this opportunity. When I was saying that if you attack me, you attack science, I didn't mean that I am science. What I meant was that when the data show that hydroxychloroquine does not work and there are people saying, oh, it does, I'll give it to people, and we know it can be hurtful to them, then when you're attacking what I'm saying, that the science shows it doesn't work and the science shows that bleach doesn't work, that when you attack that you really are attacking science because science has shown that it doesn't work. That's what I meant when you attack me, you're attacking science. Response: Thank you, doctor. Thank you, mister chairman. I yield back, time's expired. Now recognize Mister Jordan from...

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Terence Tao, UCLA mathematics professor and Fields Medallist, on why AI may be succeeding at science while scientists get worse at it: Tao starts by naming the tension directly: "There is this paradox that on the one hand AIs are becoming more powerful and more capable and making fewer mistakes, and they are ostensibly achieving a lot of the goals that we think scientists are trying to do. They're running experiments. They're analyzing data. They're writing papers." Experiments run, data analyzed, papers written — the exact outputs any university or funding body would cite as proof that science is working. Tao's concern is what those outputs stop telling you: "It may be that it comes at the cost of the AI picks up some skill but no human scientist gets any better at doing the science." The skill still accumulates, just in the wrong place. The system gets more capable while the people operating it stand still, because the work that used to build a researcher is now the work being handed off. And the cost shows up in the one thing scientists are supposed to be able to do: "No human can communicate exactly what just happened and why. This scientific discovery is interesting, why this proof is new and what features it has and how it connects." That final clause is the sharp end of it. Tao is describing a result nobody can place — a proof that arrives with no one able to say what makes it new, how it's built, or how it connects to the rest of the field. Understanding is a separate achievement from getting the answer, and it can quietly disappear while the answers keep arriving on schedule. Which is why he thinks the target itself needs re-examining: "We may have to sort of redesign our conception of what science is and what we actually want out of science. What exactly is science for and what are we trying to do? And is there a danger that we are optimizing the wrong thing when we are pointing our AI tools at science?"

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