Are people getting fitness fatigue? There are folks in Silicon Valley who hope to make money selling wearables that will measure, track and interpret all sorts of parameters associated with health. Perhaps this is for the health-obsessed. But what about "normal" people who aren't that anal-retentive?
But tracking every health data point you can from wearables? "I kind of view that as the full-body MRI on a daily basis," Rosman says — meaning that the onslaught of information is likely to cause anxiety, rather than providing actionable guidance. Instead, she zeros in on the metrics that matter most to her patients and advises them to turn off the sensors or tracking modes that are unlikely to serve them.
Yeah, I tend to agree.
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Jack Dorsey has created a federated social media app that doesn't rely on the Internet, but instead uses Bluetooth mesh to communicate. It's called
Bitchat. This could be very useful in case the Internet goes down, and it seems to be a favorite amongst protestors and activists, who want to avoid the usual surveillance technology. But Bluetooth could be scannable, so this might not be as secure as they hope. It doesn't seem to be widely adopted yet.
Dessa is a voice agent that sounds very human-like. They say it's not an LLM itself, but may function like ElevenLabs voice generator. This is another Jack Dorsey development. The output in the examples sounds like a typical GenZ person, and maybe that's the demographic its aimed at. The model is small, and so it seems we're getting closer to having a portable conversationalist – like a companion that can be taken anywhere. The future is getting creepier.
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I saw this quote recently:
and it seemed rather dismissive of the
real angst that many mathematicians feel. There's worry that many will turn away from mathematics. As I've said, it's definitely changing the way one must conduct research in mathematics. Familiarity with LEAN and other theorem-proving AI is no longer optional. And you must be able to spend a lot of time going through AI output and checking for errors, and it's not as easy as looking at traditional math notation, which is already hard enough. Plus, you have to think twice about using the latest frontier models now. You must stick with open weight models, or somehow get an enterprise account. But is even that secure enough to be comfortable? So
who will be the new mathematicians of Math 2.0?
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Mayo Clinic reports promising data regarding a vaccine against KRAS in pancreatic cancer. I knew a researcher who was working on something like this. He's not one of the authors in this
phase 2 AMPLIFY-7P trial. This is interesting because KRAS is an intracellular target, and so is not readily targeted by traditional vaccines. The vaccine itself is
camupepimut, which is a mixture of various mutated portions of the KRAS protein conjugated to a lipophilic moiety. This was able to generate a strong immune response. But when given in the adjuvant setting, there was no difference in disease-free survival between vaccine recipients and those who didn't get the vaccine.
Paper here.
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You, too, can train AI models on your own data. With
mantid. But you had better know what you are doing. You don't have to know machine learning to use mantid, but you should know about
PEFT and Catastrophic Forgetting.
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Microsoft Says Its New AI Is More Than Twice as Good at Diagnosing Diseases as Doctors. Yeah, we've heard this before, but it didn't turn out to be the case. However, I've read about cases where doctors missed a critical diagnosis and the mistake was discovered too late for curative therapy. People have cried out for some kind of technology that will help doctors avoid this. Sometimes the abnormality is too subtle and the problem is that there was no follow-up. The patient also bears some responsibility for follow-up but what are you supposed to think when the doctor reassures you that something is nothing to worry about? More experienced doctors might have a lower threshold for further studies and testing, but there aren't enough doctors like this around. There is no technology that will deliver "an experienced doctor" on demand. So an AI model that can just answer questions better than a human doctor is not the entire solution to the problem. What might help is a doctor that had you come back for follow-up to make sure that all previously discussed problems are followed-up on, and performs diagnostics frequently enough to catch abnormalities early. That's the most we can hope for. AI alone isn't going to do this.
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