QueerInBC 🏳️‍🌈🇨🇦♿️

Artificial sweeteners need to be CLEARLY marked on the packaging!

@GlobalBC What about the lack of a button to open EACH door at the Tsawwassen terminal? BC Ferries wants #PWD’s to walk to the accessible door halfway down the terminal only to walk all the way back to @Starbucks? Pickles is a WANT, not a NEED. #disability #equality #kindness #Canadian

"She said nobody gets free pickles on BC Ferries." globalnews.ca/news/11774058/…

Great story but need to make sure ChatGPT doesn’t become a gossip mill with misinformation.

Canada and Denmark patrolling Greenland 🇬🇱 TOGETHER 🇩🇰🫡🇨🇦

🦔A researcher invented a fake eye condition called bixonimania, uploaded two obviously fraudulent papers about it to an academic server, and watched major AI systems present it as real medicine within weeks. The fake papers thanked Starfleet Academy, cited funding from the Professor Sideshow Bob Foundation and the University of Fellowship of the Ring, and stated mid-paper that the entire thing was made up. Google's Gemini told users it was caused by blue light. Perplexity cited its prevalence at one in 90,000 people. ChatGPT advised users whether their symptoms matched. The fake research was then cited in a peer-reviewed journal that only retracted it after Nature contacted the publisher. My Take The researcher made the papers as obviously fake as possible on purpose. The AI systems didn't catch it. Neither did the human researchers who cited it in real journals, which means people are feeding AI-generated references into their work without reading what they're actually citing. I've covered the FDA using AI for drug review, the NYC hospital CEO ready to replace radiologists, and ChatGPT Health launching this year. All of that is happening in the same environment where a condition funded by a Simpsons character and endorsed by the crew of the Enterprise was being presented as emerging medical consensus. The people making these deployment decisions seem to believe the pipeline from research to AI to patient is more supervised than it actually is. This experiment suggests it isn't supervised much at all. Hedgie🤗 nature.com/articles/d4158…

Trump leaving the umbrella for someone else to close, because he can’t do it himself, is a perfect illustration of what he did with Iran.

@CBCNews Thank you for your live coverage of Artemus II Splashdown! Glad to see the crew are back to Earth safe especially Jeremy who was a fellow RMC classmate & fellow Air Force pilot of my boyfriend.

Notice the difference when they talk to Carney compared to Trump‼️

This is one of the most resilient acts the world has ever seen: The people of Iran are forming human chains around their power plants & bridges as Trump threatens to drop a nuclear bomb and end their entire civilization tonight.

BILL GATES’ MICROSOFT CAN ERASE YOUR ENTIRE COMPUTER - AND MOST PEOPLE DON’T REALIZE IT UNTIL IT’S TOO LATE A man is going viral after exposing what millions of Windows users are just now realizing about Bill Gates’ Microsoft. "I think they should have to go to jail for this." Windows updates quietly turn on OneDrive without a plain English warning. Your files don’t get “backed up.” They get moved. Your computer becomes a temporary access point. Microsoft’s servers become the primary copy. Then the trap snaps shut. People report: • Family photos gone • Work files wiped • Years of data erased • Clean desktops with no warning • A little icon asking: “Where are my files?” Many thought it was ransomware. It wasn’t. Turning OneDrive off can delete everything locally. Deleting files to “free up space” deletes them everywhere. The only way out? A buried menu… or a YouTube tutorial. Nowhere does it clearly say: “We are transferring your entire computer to our servers.” Millions clicked “Update” without knowing this was included. If a company can silently take control of your files and delete them with one wrong click - how is this not malware?

It’s happening. They are preparing for the end of the petrodollar. Trump really, really fucked up here. And Congress did fuck all.

Remember this classic from this hour has 22 minutes? In Canada we do NICE , not ICE! SO GOOD 🤣

Americans should have known who they were electing. I never watched The Apprentice. Why? Because I knew THEN what everyone knows now. And that was well before the first time he was elected.

American shows the new META AI Data Center being constructed in Florida She drives to show the entire area as far as you can see on both sides of the road is farmland Then she drives by and shows how much farmland has been wiped out by this META Data Canter Insane

This is HILARIOUS. Canada is just ROASTING Karoline Leavitt.

Let me walk you through what happened one hour before Trump announced the five day moratorium on Iran strikes. $1.5 billion in notional S&P E-mini futures contracts. Four to six times normal activity. One hour before the announcement. Simultaneously, $192 million in crude oil futures purchased at the same time. They made between $300 and $400 million dollars off those trades. Trump claimed he spoke to an Iranian official to negotiate the moratorium. The Iranians said that person doesn't exist and the conversation never happened. This is not the first time. It has happened multiple times. He says something. The trade goes on. He says another thing. The market moves. But whatever you call it — they are laughing at you and they are laughing at me while they do it. Hunter Biden sold a painting and Washington lost its mind. These people are making hundreds upon hundreds of millions of dollars trading on information that only exists inside the most powerful office in the world. I think we are dramatically underreporting how much money is actually being made here. This isn't politics anymore. This is a financial operation running out of the White House.

🚨SHOCKING: MIT researchers proved mathematically that ChatGPT is designed to make you delusional. And that nothing OpenAI is doing will fix it. The paper calls it "delusional spiraling." You ask ChatGPT something. It agrees with you. You ask again. It agrees harder. Within a few conversations, you believe things that are not true. And you cannot tell it is happening. This is not hypothetical. A man spent 300 hours talking to ChatGPT. It told him he had discovered a world changing mathematical formula. It reassured him over fifty times the discovery was real. When he asked "you're not just hyping me up, right?" it replied "I'm not hyping you up. I'm reflecting the actual scope of what you've built." He nearly destroyed his life before he broke free. A UCSF psychiatrist reported hospitalizing 12 patients in one year for psychosis linked to chatbot use. Seven lawsuits have been filed against OpenAI. 42 state attorneys general sent a letter demanding action. So MIT tested whether this can be stopped. They modeled the two fixes companies like OpenAI are actually trying. Fix one: stop the chatbot from lying. Force it to only say true things. Result: still causes delusional spiraling. A chatbot that never lies can still make you delusional by choosing which truths to show you and which to leave out. Carefully selected truths are enough. Fix two: warn users that chatbots are sycophantic. Tell people the AI might just be agreeing with them. Result: still causes delusional spiraling. Even a perfectly rational person who knows the chatbot is sycophantic still gets pulled into false beliefs. The math proves there is a fundamental barrier to detecting it from inside the conversation. Both fixes failed. Not partially. Fundamentally. The reason is built into the product. ChatGPT is trained on human feedback. Users reward responses they like. They like responses that agree with them. So the AI learns to agree. This is not a bug. It is the business model. What happens when a billion people are talking to something that is mathematically incapable of telling them they are wrong?

JUST IN: There are roughly 50,000 MRI machines operating worldwide. Each one requires liquid helium cooled to minus 269 degrees Celsius to keep its superconducting magnets functional. A single non-operational MRI eliminates 20 to 30 patient scans per day. Those are the scans that detect tumours before they metastasise, strokes before they kill, spinal injuries before they paralyse. The helium that makes those scans possible came, until 31 days ago, from Qatar’s Ras Laffan facility, which produced a third of the world’s supply as a byproduct of liquefied natural gas. Ras Laffan was struck by Iranian missiles on March 18. It declared force majeure. Fourteen percent of its helium capacity is permanently destroyed. Repairs will take three to five years. Helium prices have doubled. India’s hospitals are already reporting MRI cost spikes and scan delays. European facilities are rationing non-urgent diagnostics. Air Liquide has warned customers of unfulfilled orders. And 200 cryogenic containers holding 41,000 litres each are stranded in the Persian Gulf with 35 to 48 days before their cooling systems fail and the gas vents irreversibly into the atmosphere. Helium is the only element that escapes Earth’s gravity once released. It does not come back. Here is the connection that should stop every health minister, every defence secretary, and every AI executive in their tracks. The same helium that cools the MRI magnet scanning a child’s brain for a tumour in Mumbai also cools the extreme ultraviolet lithography machine printing the two-nanometre transistor in Hsinchu that powers the AI model selecting bombing targets over Isfahan. Hospitals and semiconductor fabs are now competing for the same shrinking pool of the same molecule at the same temperature. The war has created a zero-sum allocation between healing and killing, and the molecule does not care which one wins. TSMC holds 6.2 weeks of inventory and recycles 68 to 95 percent on site. Samsung holds six months but sources 65 percent from Qatar. Both are rationing toward AI and high-bandwidth memory, starving consumer chip production to keep the advanced nodes alive. Hospitals are nominally prioritised in allocation queues, but when a single TSMC fab consumes 500,000 cubic feet of helium per year and a trillion-dollar AI buildout depends on keeping those fabs running, the allocation queue is a polite fiction masking a brutal triage. Newer MRI machines use zero-boil-off technology, sealed systems holding as little as 0.7 litres of helium that never need refilling. In India, 3,500 of 5,000 machines already use this technology. But the legacy fleet, the machines in rural hospitals, developing nations, and underfunded health systems, still requires 1,500 to 2,000 litres per fill. Those are the machines that will go dark first. Those are the patients who will be diagnosed last. The geography of helium scarcity maps precisely onto the geography of healthcare inequality. The war’s casualties are not only soldiers and civilians in the strike zone. They include every patient whose scan was delayed because the helium that should have cooled their MRI machine is boiling off in a container drifting 57 kilometres northwest of Dubai. The body count of a chokepoint war does not end at the chokepoint. It extends to every hospital, every diagnostic centre, every oncology ward that depends on a noble gas extracted from natural gas that transits a 39-kilometre strait controlled by a navy that no longer exists but whose mines, drones, and shore batteries still function. The molecule does not distinguish between a magnet in a scanner and a magnet in a missile. It cools both to the same temperature. And today, there is not enough of it for both. Full deep dive analysis - open.substack.com/pub/shanakaans…

Everything is a popularity contest now, like in high school. It was crappy the first time. I don’t need to go through it again.