Also surprised; building something people want and proving it is the unlock. HN first principle since the beginning.
2,997 karma · joined February 22, 2007
The bigger challenge might be that people with ML expertise need to solve problems of human-AI interaction and alignment because the training for the former is uni-disciplanary while the latter is trans-disciplinary.
The same corporate strategy and culture that hired "A-player" engineers for streaming is hiring "A-player" studios for content.
Defining A-players as such means you've set the rules of the game instead of building a culture of adaptive success criteria to meet customer opportunities. The label itself is a function of organizational ossification. This is the likely legacy of our tech giants; innovative in only one direction and not able to change fast enough to avoid becoming a brittle, mediocre institution over time.
As consumers, we can all feel this ossified mediocrity every day.
No software engineer is good enough to time-efficiently write the whole stack from machine code up - it will always be an arbitrary and idiomatic set of problems and this is what LLMs are so good at parsing.
Using "Scribe" cycles to define the right problem and carefully review code outputs seems like the way.
I've always enjoyed this question on their FAQ that gives some tips for potential competitors - https://www.listennotes.com/api/faq/#faq2
> There are at least 3,035,027 podcasts and 156,316,374 episodes on the Internet...
Knowing how to ask someone what they are thinking/feeling is a key skillset of anyone building a product for someone else. Its nuanced enough that books like "The Mom Test" break this down for entrepreneurs to implement tactically. On the other hand, West's research also suggests that one can comfortably underweight their own instincts laden with ego-centric and culture-centric biases. Further, you can also comfortably underweight the observations of your colleagues who might assert empathic abilities.
Perhaps the most interesting segment of this podcast was the story of how the author and her tenured colleague were able to dismiss their own intuitions about a acrimonious rivalry with one another and evaluate their relationship scientifically through hundreds of questions from their own research. They went from disliking one another to getting married.
There are some good meta studies on Omega-3s. Dr Bradley Stanfield[1] walks through Mayo Clinic meta analysis[2]. Rhonda Patrick[3] is the best resource for an interpretation of the data.
TLDR; consume enough omega-3s (DHA/EPA) to get omega-3 index above 8.0. Discrepancies in research outcomes are attributed to study design, methodology of measuring intake, methodology of measuring blood.
[1] https://www.youtube.com/watch?v=58RkZy6FEco&ab_channel=DrBra... [2] https://www.mayoclinicproceedings.org/article/S0025-6196(20)... [3] https://www.youtube.com/watch?v=XcvhERcZpWw&t=2108s
Our natural languages uses incremental inquiry to disambiguate context as opposed to using strong protocol. In "Working Backwards", it's the communicator's job to solicit questions from co-workers via pain-staking detailed reviews in meetings ("Bezos scrutinizes every single sentence"). I think of it like constructing a representative survey of ambiguity, and then putting answers in the FAQ that help increase clarity. The more detailed and representative your survey, the more helpful your questions/answers will be to communicate nuance.
With regard to disambiguating through protocol, Organizations evolve jargon to increment protocol, which probably increases semantic alignment somewhat as group size scales. If you read about the history of language, the Rebus principle created protocols of formal alphabets; protocols like grammar gave us formal writing rules. Protocols like TCPIP let our computers talk. Protocol creates more rigid commitments for communication, but also increases potential semantic alignment. As a thought experiment, if we learned to dynamically and deliberately develop jargons en masse, it might create the channels to disambiguate context and communicate nuance at scale.
I think these biological age scores are a really healthy way to debate and create broader awareness about a) how our bodies work and b) how we understand aging.
The 100M pet cats in US on average kill 26 birds/yr? Doesn't seem right. When I track the source[1] of research, the estimates include both "own" and "unowned" cats and rely on some assumptions like "a correction factor to account for owned cats not returning all prey to owners", amongst others.
I was most surprised that the authors had no strong theories about the role of "agricultural productivity". In addition to building armies from agricultural surplus, the ability to feed horses, people, elephants, etc was key to large military campaign. A common defensive technique against large army campaigns included burning agriculture.. for instance Hannibal's invasion of Rome. ie, the agriculture supply-chain itself seems to be a necessary pre-requisite to military campaigns with thousands of troops.
But, test what you learn on your own body and ask your doc lots of questions. Run experiments on your body over 6-week or 6-month periods, 1-2 at a time, and habituate what works for you. Layer habits on habits Atomic Habits style. For instance, consider buying an HRV monitor to learn your resonance breathing frequency and what your HRV looks like when you are feeling stressed.
Imo, an easy place to get started is to remove foods from your diet that spike your insulin or blood glucose. Combine that habit with a habit to go on a 20-30min walk a day while listening to a podcast about your body. My favorite at the moment are Rhonda Patrick's Found My Fitness and Andrew Huberman's Huberman Lab - they both do a great job to distill the research for practical consideration.
You can google FMD - the idea is to induce autophagy. This can be measured during the diet with some efficacy by measuring your glucose-ketone index. In theory, the body has the tools to clean and repair cells, including mitochondrial damage, through autophagy.
In addition to FMD, there are a number of autophagy supplements being tested following the 2016 discovery of the role of the cellular mTor switch. To me, the safety and science behind Spermidine is quite compelling. NAD+ plus precursors are compelling. Rapamycin, Metformin and other solutions that target the mTor pathway are also gaining funding and beginning more experiments.
Ketosis is important to the formula. Juv Labs recently introduced a di-ester exogenous ketone that is intended to promote ketogenesis in the liver, and produce endogenous ketones as well. Eating lower glycemic index foods (ie, down-regulate insulin) for a couple days while taking these supplements is a nice way to experiment with how your body adjusts to a ketogenic state. On the other hand, mono-ester exogenous ketones are more for exercise performance.
Lastly, the Bulletproof podcast is a surprisingly consistent (and understandable) source of biohacking and longevity information and discussion. Check out the recent discussion about NAD+ as an example. Rhonda Patrick's Found My Fitness is also an amazing resource.
They demonstrate that a wolf can be domesticated, but will still keep its distance and act independently from the domesticating humans.
Surprisingly, domesticated wolves test higher than dogs on intelligence tests. The show attributes dog behavior to a genetic mutation from their wolf ancestry. A similar mutation occurs in humans at 1:10k frequency called Williams Syndrome. One feature in this mutation is a form of learning disability; another is friendliness.
- "Much of what’s being sold as 'AI' today is snake oil — it does not and cannot work."
- "AI excels at some tasks, but can’t predict social outcomes."
[1] https://www.cs.princeton.edu/~arvindn/talks/MIT-STS-AI-snake...