Authoritarianism is undermining #climate action – and time is running out as warming accelerates and tipping points draw near. But as globalisation fades, national governments must assert their role in leading a climate emergency response:
https://t.co/LzencTXeNy @johnmenadue. Briefing paper: https://t.co/flsytTkPLy @BreakthroughCCR
The latest CFSv2 model results for El Nino (ONI) anomalies later this year are kinda nuts, with a peak at nearly 3.9C in November.
NOAA needs to once again raise the y-axis range; here is what it should look like without all the runs above 4C cut off:
🚨🚨It’s happening! SSTs off the coast of Peru are running more than 4°C above the 1991–2020 climatological mean, with the warm tongue now expanding westward across the tropical Pacific.
We are heading toward a very robust El Niño.🔥🌊
'By late this century, more than 50 percent of humanity could be exposed to life-threatening heat and humidity. But one of climate change’s deadliest emerging risks remains poorly understood: lethal humidity,' writes Robert Glasser. https://t.co/uJNIQyJNor
The 2026 budget speech was titled ‘Resilience and reform’. ‘Resilience’ – a very fluid term favoured by political communicators these days – was deployed 13 times, but the word ‘#climate’ failed to appear even once. Here's why: https://t.co/OG4zxKxJiU
At a time of increasing need for decent #climate modelling, what does the government do? Reduce it of course. Can't tax gas companies to raise revenue I suppose? https://t.co/euvmbBaI3r
Apple has published a paper with a devastating title: “The Illusion of Thinking”
It argues that AI models, no matter how brilliant they may seem, do not understand what they are doing.
They do not solve problems. They do not reason. They merely generate text word by word, trying to sound coherent.
Apple tested the most advanced reasoning models in the world on controlled puzzle environments. They tore open the internal "thinking" traces.
What they found shatters the narrative that we are getting closer to AGI.
Current models don't scale with complexity. They have a hard mathematical cliff. And they do not degrade gracefully. They collapse.
But here is the most unsettling part.
When a problem gets too complex, the AI doesn't use its remaining compute to try harder.
It just gives up.
Its reasoning effort actually declines. It stops thinking and starts guessing.
Then Apple ran the experiment that closes the casket on the reasoning debate.
They gave the AI the exact, step-by-step algorithm to solve the puzzle. The cheat codes.
All the AI had to do was follow the instructions.
It couldn't do it.
Performance didn't improve at all.
When the complexity gets high enough, these models fail because they cannot actually execute a logical sequence.
They are not reasoning. They are just pattern matching.
When you give them a simple problem, they overthink. When you give them a hard problem, they collapse.
Paper: The Illusion of Thinking, Apple, 2025
Audio up!
New article on Thwaites Glacier in Antarctica today claims that the ice shelf is deteriorating much faster now leading the team at the British Antarctic Survey to write an obituary for it. These quotes sound alarming, and they are. But deep in the article they mention that this is a “gradually developing crisis rather than an immediate emergency.”
Still with comments like this from scientists it’s a good reminder that a whole lot of ice and sea level is sitting behind very fragile ice shelves at the bottom of the World!
"Suddenly, large areas are just falling to pieces," says Christian Wild, from the University of Innsbruck in Austria. "It looks like a windscreen that's shattering."
“Massive cracks have emerged around the pinning point, where an underwater ridge once anchored the floating ice in position.”
"It's essentially in free fall now," says Mr Wild, noting the pace has quickened further over the past five months.
“Fresh rifts have appeared along the grounding line, where the glacier transitions from land to floating ice.”
Here’s a video I made explaining the ice shelf holds back the Glacier and how the grounding line is destabilizing. Audio up!
Article in thread… 1/
New ECMWF data shows near a 100 percent chance of a super El Niño by October.
The central equatorial Pacific is forecast to surge 2.7˚C above average by then — approaching record levels — and this major climate event will still be intensifying 🧵
Researchers at EPFL proved your AI is lying to you.
Not sometimes. Most of the time.
They built one of the hardest hallucination tests ever made with Max Planck Institute. 950 questions. Four domains where being wrong actually hurts. Legal. Medical. Research. Coding.
Then they ran every top model on it.
The results.
GPT-5. Wrong 71.8% of the time.
Claude Opus 4.5. Wrong 60% of the time.
Gemini 3 Pro. Wrong 61.9% of the time.
DeepSeek Reasoner. Wrong 76.8% of the time.
These are the smartest AI models on Earth. The ones you trust with your career. Your health. Your money.
You think turning on web search fixes it.
It doesn't.
Claude Opus 4.5 with web search. Still wrong 30.2% of the time.
GPT-5.2 thinking with web search. Still wrong 38.2% of the time.
The internet attached. Still lying to you in 1 out of every 3 answers.
Now the part that should scare you.
Medical questions. The one place being wrong can kill you.
GPT-5 hallucinated 92.8% of the time on medical guidelines.
Claude Haiku 4.5 hallucinated 95.7% of the time.
Gemini 3 Flash hallucinated 89% of the time.
Nine out of ten medical answers from popular AI models. Wrong.
It gets worse.
The longer you talk to it, the more it lies.
Early mistakes cascade. The model starts citing its own earlier hallucinations as facts. Your third message is more wrong than your first.
The paper, in its own words: "hallucinations remain substantial even with web search."
This is what hundreds of millions of people are doing right now. Asking software that lies in the majority of its answers. About their health. About their job. About their legal case. About their code.
Most are not checking.
Most never will.
But please. Keep using ChatGPT for medical advice.
The doctors need a break.
https://t.co/dHBP5CDpTM
@RogerHallamCS21@DrJamesEHansen Last 3 years average above 1.5C. So will next two, likely hottest yet. Yet mainstream climate movement ignores this basic science and carries on about “keeping 1.5C alive”. Triumph of belief and denial over evidence.
@ProfSteveKeen It’s not just supply, but price where cost makes crop uneconomic. And in northern hemisphere the spring planting window is closing/closed.
A physics-based analysis concludes that this year will be the warmest, not second warmest. In any case, we can learn something about climate change. See 2026 On Track for Warmest Year – https://t.co/pibt5vntpB
Also available on Substack: https://t.co/AGbLucDGOT
The latest CFS forecasts for El Niño need no hyperbole or exaggeration. The traditional Nino 3.4 region might actually be +3.4°C lol - I can’t tell because some of the members and also the mean are literally off the chart.
The RONI.. newer “relative” index - which takes our warmed climate into account - is like 2.7 which would be close to a record (if averaged over 3 months). The current record is +2.5°C in 1982-83.
The original index is good to look at for comparison sake. But the Relative index will give us a better idea of the impacts of the event. That’s because El Niño is most impactful when its anomalies are the highest compared to other adjacent regions/ basins.
In 2023 there was a strong-ish El Niño but the Atlantic was also warm, diluting the El Niño impacts and allowing major hurricane Idalia to form in the Gulf.
Any sane foreign policy would put climate risks, not China, at centre stage. Australia’s security policy settings are focused on geopolitical rivalry, while far greater systemic risks – especially climate disruption – receive little strategic attention. https://t.co/lr5wnjorR0
The development of El Niño has progressed rapidly.
Waters in the subsurface Pacific Ocean have now reached a gaudy 6˚C (11˚F) above average.
This warmth is rising toward the ocean's surface and aligns with projections of a super El Niño later this year.