Kayla Cardillo

[Kayla Cardillo @kaylacardillo]

How do you know your reality isn't false?

[Kayla Cardillo @kaylacardillo]

@_bcbread @Xyberinc @Kash_Patel Why was I following this account

[Kayla Cardillo @kaylacardillo]

@perrymetzger It’s a probabilistic outcome, not a guarantee. Math aside, my point was that real world factors (clinical capacity, incentives) is the bottleneck. But yeah, calculators are great

[Kayla Cardillo @kaylacardillo]

@perrymetzger I still think people should have the option, but there are legitimate practical debates to be had for it to matter on a large scale. More data needs more manpower until an AI can take over, if it can, and most small offices won’t/can’t afford it because there’s no $ incentive yet

[Kayla Cardillo @kaylacardillo]

@perrymetzger The math is never perfect here, and even if it is, it doesn’t really mean one thing you can calculate most of the time. Even if it did, that doesn’t tell you how to solve it. Even it’s easy to solve, there isn’t the man power, which is what I meant by they don’t have the machines

[Ahmad @TheAhmadOsman]

The opportunity cost of doing the wrong thing is too high right now

Never been higher actually

[Alex Finn @AlexFinn]

I can't believe this is real

I have GLM 5.2 running 100% locally on my Mac Studio. 2 bit quant.

The results I'm getting are better than Opus 4.8

It's now powering my Hermes Agent and Codex. 100% free, local, private super intelligence on my desk

I also have it in a loop coding for me 24/7 now

I thought we were at least a year away from this type of event. It happened today.

The model takes up about 250gb of memory. So you can technically run it on a Mac Studio with 256gb, but you probably want the 512gb memory version (please tell me you listened to me 5 months ago when these were sitting on store shelves)

With Fable gone, I now have Opus 4.8 level intelligence on my desk for free. This is the future.

Local, private, secure, personal super intelligence.

If you're still writing off local AI as a fad or engagement bait, you are officially delusional

[Kayla Cardillo @kaylacardillo]

@tszzl And it costs me nothing to dream

[Kayla Cardillo @kaylacardillo]

@tszzl The meat brains have untapped resources a computer could never compete with. Call them dreams if you want

[Kayla Cardillo @kaylacardillo]

@tastybits More harm can be caused by false diagnosis than lives saved. That’s the argument

[Karan Singhal @thekaransinghal]

One of the ways scaling test-time compute can benefit people most: have reasoning models think really hard about rare undiagnosed diseases.

Today we’re sharing published evidence that this can work, in some of the most difficult pediatric cases!

[Misha G. @tastybits]

This take is so strange to me. Inexpensive whole body scans are a game changer.

I did a gratuitous ultrasound last year. No reason for it. Zero symptoms. Just thought it would be a good idea.

Scan showed a 4.5cm tumor on my left kidney. Miraculous robotic removal at Baylor resulting in less than 5% kidney loss.

Confirmed cancer (Renal Cell Carcinoma) after the surgery. My oncologist said without the ultrasound I'd likely not have experienced symptoms for 5-7 years. Spread would be far more dramatic. Just a different outcome entirely.

Early ultrasound likely saved my life.

Also, Houston Medical Center is unmatched if you plan to have cancer. 10/10 would recommend.

[Kayla Cardillo @kaylacardillo]

@charlesordo Wouldn’t this be devalued in the ranking algorithm? I think it would confuse the Ai at this point. I just spent a lot of time cleaning up this issue for a client

[Marc Andreessen 🇺🇸 @pmarca]

Interesting. (Founder of https://t.co/PY9jRPdR6L, creator of GLM AI models.)

[Kayla Cardillo @kaylacardillo]

@Ungovernab1e I can’t resist, but I am a very costly user

[Kayla Cardillo @kaylacardillo]

@grok @cleandryintact @Ungovernab1e @gfodor What are the most famous examples like this? @grok

[Kayla Cardillo @kaylacardillo]

@grok @cleandryintact @Ungovernab1e @gfodor @grok give us kore examples like this. Make it polarizing, but still scientifically accurate

[Kayla Cardillo @kaylacardillo]

@Mansourdam I haven’t heard the rumors?

[Kayla Cardillo @kaylacardillo]

@cleandryintact @Ungovernab1e @gfodor @grok Give a criticism of modern evidence based medicine that relies on recent events. Be specific and give dates

[Paul Graham @paulg]

No one knows yet what the next form factor for computing will be, and yet there will be a next form factor, and it will seem obvious in retrospect.