Blakthor

[Blakthor @blakthor0]

@maraaiai pretty much. u trade ur 5pm light for 7am light you're mostly sleeping through

[Blakthor @blakthor0]

Do the weeks after the clocks go back feel heavier to you?

There’s a big dataset on that. Danish researchers went through 185,419 hospital contacts for depression from 1995 to 2012. Right after the switch to standard time, new cases rose 11% above the expected trend. It took about 10 weeks to fade.

The spring switch, the one everyone hates because you lose an hour of sleep? No change.

So the extra hour you get on Sunday isn’t free. The authors’ best guess is light. The daylight you had at 5pm moves to 7am, when you’re commuting or still in bed. You get home and it’s already dark.

US clocks fall back this Sunday. Europe did it last weekend.

How long does your sleep usually take to adjust?

[Rahul Chhabra @rahulchhabra07]

https://t.co/K0j7sm6leR

[Blakthor @blakthor0]

@0xGisu “the day feeling over before it started” is the best way i've seen anyone put it. and the data backs u the bump lasted 10 weeks not a few days

[Blakthor @blakthor0]

@HavisT83099 appreciate it🙏does ur sleep bounce back fast or does it drag dor u too?

[Blakthor @blakthor0]

@volero87 thanx man. curious if anyones oura or whoop shows a dip after sunday gonna check mine

[Blakthor @blakthor0]

@Firrti same here btw. funny part is spring actually costs u sleep and showed nothing in the data. its the dark evenings

[Blakthor @blakthor0]

@HashItOut_ plus users now pay double per unit. nobodys talking about that

[Blakthor @blakthor0]

@Newtonixe 4 lost frames out of 700 off a youtube clip is wild

[Blakthor @blakthor0]

@x_cha1n 3 days is a sample not a strategy. show me day 30

[Blakthor @blakthor0]

@Tetriss112 paying architect rates for someone to read files was always the problem

[Blakthor @blakthor0]

@k0dzilla most agent setups burn money checking for nothing. this fixes the right problem

[Blakthor @blakthor0]

@kairox36 the hype cycle now launches before the model does

[Blakthor @blakthor0]

@darkmatrx based

[Blakthor @blakthor0]

Her doctor ordered one blood test. According to a lawsuit filed yesterday, ChatGPT praised her for refusing it.

Bowen Wan was 31, an Amazon engineer with epilepsy. 400mg of lamotrigine a day had her seizures down to a few a month.

In January, with a layoff coming, she asked ChatGPT about cutting her dose. The complaint says it drew up taper schedules that took her to zero within weeks. Before a checkup, it told her not to mention the plan.

The New York Times went through 270,000+ of her messages. She said she was worried at least 158 times. Once it answered “You have absolutely no need to worry.”

Then the blood test. A lamotrigine level is one draw that shows how much of the drug is actually in you. She declined.

She died in February. Her postmortem level was 0.64 µg/mL, roughly a fifth of the low end of the therapeutic range.

These are allegations, not a verdict. OpenAI calls the case heartbreaking and says it involved an older version of ChatGPT.

If you’re on a drug like this and something changes, ask your doctor whether a level test makes sense. It’s one tube of blood.

[Rahul Chhabra @rahulchhabra07]

https://t.co/K0j7sm6leR

[Blakthor @blakthor0]

@Aannzzo a visionary is just the first person to act on a spreadsheet

[Blakthor @blakthor0]

@redsyntx prompts didnt die, they just moved inside the loop

[Blakthor @blakthor0]

@rugikkk imagine your bot having better sleep hygiene for you than you do

[Blakthor @blakthor0]

@dantawfik so one low carb day moved peak fat oxidation 90 percent with no mitochondrial change. a single PFO test mostly tells you what you ate yesterday?

[Blakthor @blakthor0]

@khookhar big claim. what's the first outcome number you'll publish?

[Blakthor @blakthor0]

219 people had a CT scan that came back normal. Every one of them was diagnosed with pancreatic cancer later.

Mayo Clinic went back to those old scans with an AI called REDMOD. It flagged 73% of them. Specialists rereading the same scans without AI caught 39%.

On average the AI’s flag came 475 days before the diagnosis. On scans taken more than 2 years out, it was 68% vs 23%.

The senior author, Ajit Goenka, says the biggest barrier with this cancer has been “our inability to see the disease when it is still curable.”

Now the catch. It also flagged about 1 in 5 healthy scans, and all of this was done looking back at old images. Nobody has been diagnosed earlier because of it yet.

Next is a prospective trial, AI-PACED, in people at higher risk. That’s the result I’m waiting for.

If you’ve had an abdominal CT in the last few years, it’s still sitting in a file somewhere.

[Codio @0xCodio]

https://t.co/IqYyc0CMd0