♞👤 ştεvε ♦🎯

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@kirkrussell4 @RT_com Cool it with the antisemitism

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@DAIWA7777777 @RepMikeTurner Nice post mr CIA agent

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@DAIWA7777777 @USA_China_Talk This post glows so bright

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@stonetoss Being a fag will never be normal

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@sunQ_osrs @trad_west_ You're free to not visit their store dumbass

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@Romaneyney @RT_com You are a retarded monkey

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@navleruel @deepseek_ai >they still don't even support images natively
Soon(tm)
Read their new paper bro

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@vasalex93 @AlfinCodes >ubuntu
Peasant

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@stonetoss @ThrillaRilla369 cool antisemitism

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@spiderbit123 @mooreslawisdead >you lost a lot of credibility from me
>from me
No one cares, retard.

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@Iknowthis__ @disclosetv Fuck off kike

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@mooreslawisdead I'm exited for Medusa Halo.
>ps6
>xbox helix
Nah

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@TheMaverickWS And gay.

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@AslanYorgun5 @seby123456789 @wccftech Yeah because one chart invalidates everything else

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@prissmorgen @Uncommonsince76 Why do you thinks nazis are evil?

[Hedgie @HedgieMarkets]

🦔A study from Mass General Brigham tested 21 AI models on medical diagnosis tasks. For differential diagnosis with incomplete patient information, all models had error rates above 80%. With more complete data, error rates fell below 40%, with the best performers reaching 90% accuracy. The models consistently narrowed to a single diagnosis rather than suggesting a range of possibilities. One in three US adults have used AI chatbots for medical advice in the past year. Google and Amazon are both developing dedicated medical chatbots.

My Take
Above 80% error rates for differential diagnosis with incomplete information is the precise scenario most people are in when they turn to AI with a health concern. Nobody walks in with a complete patient file. They describe symptoms, worry about something specific, and ask what it might be. That's exactly when these models fail most.

The way these models fail is as important as how often. They narrow to a single confident answer rather than offering a range of possibilities. When a doctor says it could be one of several things, that's honesty about uncertainty. When an AI says it's probably this one thing, it reads as authority. I've covered the cognitive surrender research showing people accept AI outputs without scrutiny 73% of the time even when the AI is wrong.
Confident wrong answers in a medical context are a different order of problem than confident wrong answers about anything else. Google and Amazon are both racing to release dedicated medical chatbots into this environment while disclaiming clinical responsibility, and I think that deserves serious regulatory attention before it causes widespread harm.

Hedgie🤗

Link to study: https://t.co/w6hh0gQf1n

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@stonetoss Who would have thought cutting kids junk off would not heal their mental problems 🤷‍♂️

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@cricket_clouds @alifarhat79 The probability is lower than you winning the lottery 10 times in a row...

[♞👤 ştεvε ♦🎯 @SteveR81409448]

@BaldovinoLM @unusual_whales Fuck off shill

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@Toranjcast @DD_Geopolitics Zogbot detected