--- Log opened Wed Apr 23 00:00:23 2025
01:33 < fenn> non-realtime emotive TTS https://old.reddit.com/r/LocalLLaMA/comments/1k4lmil/a_new_tts_model_capable_of_generating/ https://github.com/nari-labs/dia
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03:31 < L29Ah> https://www.nature.com/articles/s41586-025-08869-4
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04:12 < hprmbridge> kanzure> where are the 4chan refugees going?
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07:20 < L29Ah> https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehaf254/8098552?login=false
07:20 < RangerMauve> @kanzure probably the other chans and the fediverse
07:21 < superkuh> And 8-chan, etc.
07:21 < superkuh> I guess that's "other chans".
07:24 < RangerMauve> There are more obscure ones
07:24 < RangerMauve> My hope is some of these folks will go outside and touch grass
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09:25 < hprmbridge> kanzure> https://1517.smapply.us/prog/flux_capacitor/
09:25 < hprmbridge> kanzure> they aren't going to 8chan that sounds implausible
09:40 < superkuh> Ah. I just saw the 8chan page banner saying "welcome refugees" when someone linked it re: llm info alternative.
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11:07 < hprmbridge> kanzure> "anons in shambles as they experience the other end of a refugee crisis"
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14:34 < hprmbridge> Eli> AI is the worst it's ever going to get. In the future it might be illegal to drive, lawyer, or perform a differential diagnosis without AI assistance. I think the surgeons are going to be here awhile though. At least for the next ten years.
14:35 < L29Ah> chatgpt, complete this building...
14:35  * L29Ah eagerly waits for robotic swarm of personal aircraft
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15:16 < fenn> the reason AMIE + clinician scores worse than AMIE alone is because the prompts are generated by teams of AI researchers who know how to build a complete detailed info dump about the patient (the format it was trained on), whereas the doctors use it like a conversational partner
15:17 < fenn> there should be a second AI to help them build a prompt interactively, at least until they learn how to
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16:16 < L29Ah> https://dxgpt.app/
16:17 < L29Ah> When a healthcare professional inputs a patient's symptoms into DxGPT, the platform constructs a detailed prompt that is sent to a large language model (LLM). This prompt includes not only the patient's clinical presentation but also specific alignment instructions that guide the LLM to produce consistent and medically relevant responses. The LLM—whether GPT-4 or a reasoning-optimized model like o1 o
16:17 < L29Ah> r o3—then processes the prompt and generates a list of potential diagnoses.
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23:12 < fenn> it sounds more like a wrapper than an interactive checklist
23:13 < fenn> performance "comparable to that of expert clinicians" implies that it performs worse than the prompts constructed by AI researchers, although that was with a specially trained LLM
23:17 < fenn> thanks for the link, a friend who isn't me might use it
23:17 < fenn> or however that goes
23:21 < fenn> "The garage was designed and built for the car. But since that day, it has resisted its original purpose. The garage, more than any other room in the house, rebels against its intended function"
--- Log closed Thu Apr 24 00:00:01 2025