jablongo

9 ms·

91.
by jablongo 3y ago
Really appreciate the pointed commentary on this! Happy to make further prognostications about the success of CGM-input-only APSs via email. For the record, when I say "Euglycemic Parity" what I really mean is a sort of Turing tes
92.
by jablongo 3y ago
The best brand is Dexcom (G6 or G7). The Abbott one is cheaper but has disadvantages. Either one will be way better than nothing if you have diabetes. Without insurance dexcom will cost you like $260 a month via one of these mail order di
93.
by jablongo 3y ago
I'd love to chat - send me an email at sam@replica.health . An accurate time-varying insulin sensitivity model is one of our big projects.
94.
by jablongo 3y ago
At this point all the major solutions are using an algorithm that would probably fall under the umbrella of "Model Predictive Control" rather than a vanilla PID controller. An absurd spate of patent trolling occurred back in the
95.
by jablongo 3y ago
Agree that patient input shouldn't be necessary, but to replace it we will need to include other inputs besides CGM in a systematic way to get the optimal results. My company is working on how to use contextual info automatically colle
96.
by jablongo 3y ago
Yeah she's being diplomatic for sure. Dexcom plays ball and is also the most successful of the CGMs, so you would think that others would follow their lead and write their data to apple health. Most companies keep their data thinking i
97.
by jablongo 3y ago
> - it cannot know external factors like how much carbohydrates you are eating, or if you are planning to work out, etc. Like conventional pumps you have to enter it manually. Sign up for the waitlist of https://replica.health
98.
by jablongo 3y ago
Yea you would need really good failure detection if you were going to "hit the gas" with a bunch of insulin. Part of the solution is going to be controlling risk via the dosing algorithm itself, so you never get in those situation
99.
by jablongo 3y ago
For some background - I'm a T1D working on a search engine and conversational interface for integrating a bunch of new data sources and models into metabolic decision making: https://replica.health . I've also been a u
100.
by jablongo 3y ago
I think it’s a pretty basic/uninteresting relation; for a subset of users, being inflamed causes them to be uncomfortable which causes them to post about being uncomfortable, probably sometimes talking about inflammation itself (for a
101.
by jablongo 3y ago
Yea thats what I was thinking. Is "sunflower seed math" a glitched concept embedding that can break it? I think the "embedding vector near zero" would account for when the model can't recognize glitch tokens, but
102.
by jablongo 3y ago
So this seems similar to the effect of 'glitch tokens', but in this case its probably more like a 'glitch embedding'; some place in it's latent space of embeddings that the model arrived in by chance due to their co
103.
by jablongo 3y ago
The reason it might need to be huge is because the long tail of extreme weights might only begin to show up then, but yes best to just start w something you can run on a laptop.
104.
by jablongo 3y ago
It has to do with the precision of the values stored in those rows and columns. If they could be coerced into a narrower range (without losing information) then we could effectively store them each with 8 bits or something. The +1 prevents
105.
by jablongo 3y ago
Yea - the way we can "tell if this is good" is by a) train two identical models on a large dataset, one with the +1 in the denominator for the softmax steps of the attention modules, one without b) show that they have similar perf
106.
by jablongo 3y ago
Yea the benefit is not going to come in terms of performance for a given model, but in terms of ability to be efficiently quantized.
107.
by jablongo 3y ago
Love it, but I’m pretty sure you’re missing ferry routes in the NYC calculations (which are public). It also might be worth including Citibike as an optional additional method.
108.
by jablongo 3y ago
Cool - check out my company: https://replica.health - We automatically log a bunch of data for diabetics based on things like activity and location, and provide an LLM powered search engine for that data. You can ask our system
109.
by jablongo 3y ago
Why use dextrose instead of glucagon for lows? B/C patient liver function may be compromised more often in the in patient setting?
110.
by jablongo 3y ago
This seems great, but what does this mean for fine-tuning? Will we be able to fine-tune models prompted with function calls? Should we fine-tune models prompted with function calls? Depending on the complexity of the function-call/text
111.
by jablongo 3y ago
The tech is amazing, but also ridiculous. Think about how much time and cost went into developing these features: - Creepy Eyes fake transparency (a work around for the fact that you look dumb wearing ski goggles on your face) - The reali
112.
by jablongo 3y ago
No signatories from Meta
113.
by jablongo 3y ago
Yes! I’ve noticed this too, it’s just slightly less sharp. It probably has to do with how much trouble they are having servicing all of the demand, so they have rolled out a scaled down version that requires less compute.
114.
by jablongo 3y ago
Yes this sounds great but the issue is about how longtermists revel in the opportunity to sacrifice near term goals for long term ones, in an almost pathological way. I still don't understand why there should be any conflict between a
115.
by jablongo 3y ago
Right so it should be much easier w/ access to every neuron and activation. But the general approach is an experimental one where you try to use your existing knowledge about physics and biology to discern what is activating different
116.
by jablongo 3y ago
This isnt exactly building an understanding of LLMs from first principles... IMO we should broadly be following the (imperfect) example set forth by neuroscientists attempting to explain fMRI scans and assigning functionality to various su
117.
by jablongo 3y ago
While he certainly points out things that have been true about AI hyperbole driven by profit seeking, its ironic how he himself is hyperbolic about the ineptitude of modern AIs while hawking his pdf e-book on the subject for $35.
118.
by jablongo 3y ago
Vermont is mostly green via hydroelectric and wind
119.
by jablongo 3y ago
> Regarding heat pumps phasing out gas heat, in NY it isn’t feasible. It gets too cold. Not true, heat pumps are widely used as primary heat sources in environments as cold or colder than NY, like in Montreal and other parts of Canada. T
120.
by jablongo 3y ago
You can adjust the alerts a little bit. If you are actually going below 60 on a regular basis then you are hypoglycemic and the alerts are probably useful. It’s possible that your readings were slightly off though. Thanks for driving down

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