turnsout

27 ms·

721.
by turnsout 3y ago
Nice! The anti-jailbreaking angle is extremely interesting for those of us working on commercial applications.
722.
by turnsout 3y ago
Seems like in about two years I’ll be able to stuff this saved comment into a model and generate this full episode of Black Mirror
723.
by turnsout 3y ago
You’ve discovered the dirty secret of PKM… it’s most useful for shuffling stuff around and feeling productive to avoid doing real work
724.
by turnsout 3y ago
Yes, and Amazon could have jumped in. They already had providers via Care and One Medical. It would have been a small leap to buy whole hospital systems.
725.
by turnsout 3y ago
I'm finding M1 generation quite slow (CPU-only) on the stock Bark—any tips on speeding it up?
726.
by turnsout 3y ago
You mean they provide self-funded insurance, or are literally underwriting plans? It's quite common for companies to be self-funded/"self-insured," but rely on a large payer like Aetna to do all the work. If they cut out
727.
by turnsout 3y ago
@dvt Is this just a containerized version of Bark? Wondering if this repo has M1-specific improvements.
728.
by turnsout 3y ago
They didn't go big enough: they should have become a payer/insurer. If they started with their ~1M US employees and then applied the flywheel to HC insurance, they could have essentially created a single-payer system by default. S
729.
by turnsout 3y ago
Wonder if it's an IP issue. They don't want every record label coming after them.
730.
by turnsout 3y ago
I used to do a version of Pomodoro quite often. Now I find I get better results by turning off WiFi.
731.
by turnsout 3y ago
Eh, this is slightly dated—{"k":"v"} does work in the WebKit and Blink consoles, and the superset proposal was approved, so those separators should work fine too.
732.
by turnsout 3y ago
If that were true, people who work harder at their small business would make more, but that is not the case.
733.
by turnsout 3y ago
Do they have plans to release this model?
734.
by turnsout 3y ago
You can of course use a vanilla database, read every row and just roll your own vector distance function, but it's just frustrating that there isn't a standardized pattern for this. There are plenty of proprietary databases and AP
735.
by turnsout 3y ago
I’m with you in general, but what about vector search? It really feels like the DB industry has taken a huge step backward from the promise of SQL. Switching from Postgres to SQLite is easy because the underlying queries are at least simila
736.
by turnsout 3y ago
Agreed—I hope Meta studied Deepseek's approach. The idea of a Deepseek Coder at 70B would be exciting.
737.
by turnsout 3y ago
Given how good some of the smaller code models are (such as Deepseek Coder at 6.7B), I'll be curious to see what this 70B model is capable of!
738.
by turnsout 3y ago
Semi-related, as long as we're requesting things: to @pr337h4m's point above, it would be interesting to have some rough guidance (even a sidebar or single paragraph) on when it makes sense to pre-train a new foundation model vs f
739.
by turnsout 3y ago
Honestly, I already have—the overview of PyTorch in the Appendix finally made a few things click for me!
740.
by turnsout 3y ago
Thanks for such a thoughtful response. I'm building with LLMs, and do feel uncomfortable with my admittedly hand-wavy understanding of the underlying transformer architecture. I've ordered your book and look forward to following a
741.
by turnsout 3y ago
This looks amazing @rasbt! Out of curiosity, is your primary goal to cultivate understanding and demystify, or to encourage people to build their own small models tailored to their needs?
742.
by turnsout 3y ago
I hope someday we get the real story of what Eric was hoping to accomplish with Beeper. His previous company Pebble was basically annihilated by the Apple Watch—was this an attempt to give regulators the opening they needed to take Apple do
743.
by turnsout 3y ago
Yeah, I reached that point in the article and had to go back to make sure I read correctly. In what world was it "all original hardware?" And what is the point of this test if components are going to be gradually replaced as they
744.
by turnsout 3y ago
Eventually it will happen—if not this model, another one. AI is going to absolutely decimate the porn industry.
745.
by turnsout 3y ago
Are vector databases like Chroma already doing some of this? If not, it could be a huge win for RAG workflows!
746.
by turnsout 3y ago
This is the email marketing equivalent of donating 100% of your profits to charity; I applaud it, but it’s not good business advice.
747.
by turnsout 3y ago
Yes, same goes for any "first gen" Apple product in a category: The Apple I, 128k Macintosh, iPod, Apple Watch. The thing all these first-generation products have in common (including the Apple Vision Pro) is that they are eminent
748.
by turnsout 3y ago
All you have to do is compare a recent 50mm f/1.4 lens such as the Sigma Art or Sony GM to an older design before the advent of computer-aided optimization (eg the Canon EF 50/1.4). The new designs are very contrasty and sharp wid
749.
by turnsout 3y ago
That sounds awesome! Can you share any details about how you're working with llama cpp? Is it just via the Swift <> C bridge? I've toyed with the idea of doing this, and wonder if you have any pointers before I get started.
750.
by turnsout 3y ago
This is awesome! Nice job!

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