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aamar

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aamar
·el mes pasado·discuss
I agree with your take on reputation as a lagging indicator, and your take on PE. But a writer could also feel (if the reputation is truly out of date with the reality) that they ought to point out the disconnect, rather than triangulate between the two.
aamar
·el mes pasado·discuss
> So I had to be very careful what I wrote about Google

Can you say more about this? Do you think those tender feelings towards Google track some strain of values which Google still carries? Or does this statement reflect some fear of retaliation or conflict that would drown out the rest of your message?

Genuinely interested in how you think about this, especially in the context of this new book’s topic. Thank you for this AMA.
aamar
·el mes pasado·discuss
Yeah, IIRC that came up in the Q&A or over beer later.
aamar
·el mes pasado·discuss
The artist, JT Nimoy, was an Emacs user but still thought it would be fun to set up a dichotomy--some fun details on this blog. A few more details were shared at a talk at an HN meetup several years ago.

https://jtnimoy.cc/item.php%3Fhandle=14881671-tron-legacy.ht...
aamar
·hace 5 meses·discuss
Post-acquisition, Google employees made a number of smart moves with good execution, including a viable comp model for the creators and music rights deals. Several moves I consider bad as well, but the good moves outweigh them.

Looking back, I’m still pretty amazed they got so much of it right. Which is to say, a good chunk of the value wasn’t in the value of YouTube itself but in what Google brought to the table _or_ a synergy between the two.
aamar
·hace 5 meses·discuss
Knit Health | AI/ML Engineer + others | San Francisco, CA | ONSITE + REMOTE (US)

Knit Health is building a clinical foundation model to improve how healthcare is delivered. We combine AI systems engineering with clinical domain expertise to develop reliable models and workflows that can be integrated into provider environments. Knit is venture-backed and led by a team with UC Berkeley, Stanford, and UCSF research roots. We work with multiple large US health systems and data partners.

We are looking for AI/ML Engineers to contribute to foundation models (1+ years experience, SF only), Senior Data Scientists (5+ years), and Product Engineers (3+ years). Join a tight-knit team where you’ll shape the technical direction of our models and drive the evolution of a product suite that improves patient health outcomes at scale.

To apply: aamar AT knit.health (Subject: "HN job post")