King's College Hospital in London has opened a rooftop garden for critical care patients. Its first patient, a 29-year-old woman dependent on feeding tubes, said the outdoor space gave her 'a real boost to keep on going
Haven't seen the crime drama or TV documentary, but this background article by André Hanscombe is worth a read for its concluding thoughts on gift of faith in his and his son's post-trauma journey https://t.co/ahAJ6dFrt2
Growing up in Texas, we never walked through wet grass anywhere east of Dallas without spreading sulfur on our shoes and ankles. It it just what one did. I asked my mother about this and she said she learned it from her Aunt. It works like magic. Ticks and chiggers hate the smell and stay away. To my amazement, people in New England don't seem to know about this strategy or dismiss it as a "folk" remedy not based on science. Do we have here another case of lost knowledge?
INVASION ALERT: Bill Gates’ Bioengineered Ticks Are Here — But Nature Has the Ultimate Counter Strike!
While the elites unleash their lab-created tick apocalypse, spreading Lyme disease and Alpha-gal syndrome, Nature is fighting back HARD. These “bioengineered” ticks are invading yards, pets, and families at record rates — but they FREAK OUT and RUN from certain essential oils.
Ticks HATE these oils. No DEET toxins needed. Arm yourself, your kids, your pets, and your property with Mother Nature’s shield.
Oils that ticks HATE (and why):
• **Tea Tree Oil** — Ticks literally panic and flee on contact. It disrupts their senses and they refuse to cross it.
• **Neem Oil** — A total tick repellent powerhouse; they avoid it like poison and it wrecks their feeding.
• **Oregano Oil** — High in carvacrol that kills tick-borne bacteria on contact while making them turn tail fast.
• **Black Seed Oil** — The little bloodsuckers bolt away; proven in real-world tests to create an invisible barrier.
• **Cedarwood Oil** — Toxic to ticks and larvae; they retreat or drop off instantly.
• **Clove Bud Oil** — One of the strongest — repels up to 83% of ticks at low concentrations in lab studies.
• **Thyme Oil (red or creeping)** — Ticks hate the scent; 68–82% repellency, even better when mixed with others.
• **Lemon Eucalyptus Oil** — Repels blacklegged and dog ticks for hours on clothes or skin.
**How to use:** Mix a few drops (diluted safely in carrier oil or water + witch hazel) and spray on socks, pants, yard perimeter, pets’ bedding, and skin. Reapply often. Diffuse or wipe baseboards indoors.
How Art called me to the Priesthood https://t.co/GMjOQHSXot via @YouTube Fr Patrick and other consecrated men and women share their vocation stories from UK and beyond
@amywelborn2 Indeed, the company co-founded by one of the guests on the dais stands accused of exactly that: "Universal Music filed a $3.1 billion lawsuit against Anthropic in January 2026, alleging its AI was built on a foundation of piracy." https://t.co/6mC90MPISE
“Hallucination” is still the wrong abstraction.
Frontier LLMs don’t fail because they occasionally detach from truth. They fail because they never had direct truth access to begin with.
Transformers are proposition generators, not assertion engines.
They interpolate over corpus geometry:
• coherence
• co-occurrence
• discourse priors
• token-density topology
not external reality.
So when a model says something false with high confidence, that’s not necessarily a malfunction. It’s often the architecture operating exactly as designed: maximizing corpus consistency, not world verification.
The key distinction:
• Assertions require exogenous grounding (sensors, databases, experiments, humans)
• Propositions only require endogenous plausibility
LLMs only do the second one.
This is why “metacognition” alone won’t solve hallucinations.
Mapping probability diffuseness → hedging language (“I may be wrong…”) is useful UX, but it’s still an internal statistical reflex inside the same closed system.
The map is still verifying the map.
Scaling, RLHF, and self-reflection improve discourse discipline, but they don’t create epistemic grounding.
The real architectural shift is separation of concerns:
Generation ≠ Verification
1) LLMs generate candidate propositions.
2) External systems verify against reality.
That’s the missing layer.
The future probably looks less like “models that know truth” and more like:
• stochastic generators
• deterministic verifiers
• provenance-aware reasoning stacks
• explicit assertion/proposition labeling
Not bigger autocomplete.
Chaining LLMs doesn’t result in introspection or self-correction. They’re expanded interpolation paths.
Longer reasoning traces ≠ epistemology.
See the semiotic triad to see the gaps in your current mental model.
Humanity, created by God in all its grandeur, is today facing a pivotal choice: either to construct a new Tower of Babel or to build the city in which God and humanity dwell together. In Jesus Christ, this humanity in its grandeur becomes the Way, the Truth and the Life, opening the path for each of us to grow toward fullness. #MagnificaHumanitas
https://t.co/6i9MWs6LJl
The Vatican has produced a video to accompany the publication of Pope Leo XIV’s Encyclical Letter Magnifica humanitas, on safeguarding the human person in the age of Artificial Intelligence
@rypllx2@VaticanNews Abbot's 1887 "Flatland" satirized apogee of a self-regarding worldview https://t.co/jtN5tklyzD Funny 'til we consider horrors of ensuing C20th's tyrannical personalities, per Acton's maxim "Power corrupts. Absolute power absolutely."
@rypllx2@VaticanNews Abbot's 1887 "Flatland" satirized apogee of a self-regarding worldview https://t.co/jtN5tklyzD Funny 'til we consider horrors of ensuing C20th's tyrannical personalities, per Acton's maxim "Power corrupts. Absolute power absolutely."
Our Editorial Director reflects on Pope Leo XIV’s first encyclical ‘Magnifica humanitas,’ in which the Pope calls for technology to advance without causing the human heart to regress.
https://t.co/nWk83DsYgv
@amywelborn2 Smothered by AI slop*?
___
* behold Crustacean Jesus spawned by online influencers in Kenya
| Will AI lead to the death of the internet? DW Documentary |
https://t.co/avG4rS2xM6
co-production of ARTE, European public service channel out of Strasbourg & ZDF, German broadcaster
A Wharton economist ran a randomized controlled trial on almost a thousand high school students in Turkey.
The result was so brutal for the AI-in-education narrative that it had to be peer-reviewed by PNAS before people would believe it.
Her name is Hamsa Bastani. She teaches operations and information at the Wharton School at the University of Pennsylvania, and the study she published in 2025 alongside her co-authors is one of the cleanest experiments anyone has run on what AI actually does to learning when you remove it from the equation and check what is left.
The setup was a randomized controlled trial, the same methodology used in clinical drug trials. Nearly a thousand high school math students in Turkey were split into three groups and put through four sessions of ninety minutes each. One group practiced with GPT Base, a standard ChatGPT-4 interface that could answer any question directly. One group practiced with GPT Tutor, a version of the same model that had been prompted to guide students with hints rather than hand them the answer. One group practiced with nothing but their textbook and their own head.
During the practice sessions, the AI groups looked like a miracle. The GPT Base group solved 48% more problems than the students working alone. The GPT Tutor group solved 127% more. Every administrator looking at those numbers would have written a press release about the transformative power of AI in education and moved on.
Then the actual exam came, and AI was not allowed.
The students who had practiced with GPT Base scored 17% worse than the students who had practiced alone. Seventeen percent worse, despite having solved nearly half again as many problems in the sessions leading up to it. The students who had struggled the most, who had sat with the confusion and worked through it without a tool to rescue them, were now the only ones who could actually do the math when it counted.
Bastani's team read through the chat logs to understand what had actually been happening during the practice sessions, and the answer was exactly what the exam results had already implied. The GPT Base group had not been learning. They had been extracting answers and moving on, and every moment that felt like understanding was actually the model doing the cognitive work while the student's brain waited for the next problem to arrive. The paper describes it precisely: without guardrails, students attempt to use GPT-4 as a crutch during practice, and subsequently perform worse on their own.
The detail that should follow every conversation about AI in education is the one buried in the post-test survey results. The students who had relied on AI the most during practice were also the most confident they had understood the material. The tool had not just failed to teach them. It had convinced them they had learned something they had not, which is a different kind of failure entirely and a much harder one to correct because the student has no idea it is happening.
The crutch had made them confident and weak at the same time.
Synthetic folic acid is being introduced to all flour in the UK including ‘organic flour’.
No debate in our Parliament and no vote. Mass medication with something which will cause more harm than benefit in the those ( all of us ) who are exposed to it.
Does that sound familiar ?
also noteworthy: pre-seminar interview @ NotreDame https://t.co/yynouKN5Bf citing POV shared by former ND Prof (now director of the Middle East Program at Defense Priorities) Rose Kelanic https://t.co/CaqgVlg19G