mritchie712
Joined 11 years ago
Joined 11 years ago
a hacker might know how to hack your service, but they'd have to find it first.
Anthropic is in a business that didn't exist 3 years ago.
> The traditional Inca chronology has collapsed
this is clickbait, better title:
Archaeologists find evidence of Inca expansion 50–100 years earlier than previous estimates.
each "question" is answered in parallel instead of a sequential (like an LLM). so if you have an input like:
{"is_it_hotdog": noul, "is_it_apple", noul}
it answers is_it_hotdog and is_it_apple in parallel and gives a probability.People are already used to getting *exactly* what they want from an agent. e.g. in our agent (https://www.definite.app/) we often see people take pictures of a sketch on a piece of paper or a screenshot from a few other tools (Stripe + Excel).
Our agent has templates to start from, but ultimately writes a react app to give the user what they want. It'd be hard to get that experience in a framework like this.
Yeah, it sucks they need to do this. If I was a visitor to their website, I'd immediately want to know what ClickHouse, Inc. is and you'd realize ---> it's managed clickhouse, direct competitor... why would I use the one that needs all the ®'s
My wife turned on a meditation feature on our very old Alexa. I guess the app was deleted or something, but every morning Alexa turns on and says "Starting your meditation times ... Sorry, this is no longer available". If I tell Alexa to turn this off, it has no idea what I'm talking about and it shows up nowhere in the iOS app. Instead of meditation, I got a nice dose of minor annoyance every morning.
1. the labs stop offering max plans
2. really smart open models can easily be run on my mac
3. TPS (token per second) AND intelligence are gpt5.6 level
on #1, it's nearly impossible for me to run out of codex tokens right now (I have 4 resets banked) and Fable 5 seems to be sticking around for the foreseeable future. I have virtually unlimited token usage for $400 a month, so open models being cheaper doesn't appeal to me.
on 2 and 3, benchmarks are showing some of the open models at around opus4.8 levels, which is incredible! But running them locally at anywhere near the TPS of cloud inference is far off. I can run a smaller (dumber) open model locally and get good TPS, but see #1, whats the point?
I've started building a box for managing agents. I hate sitting in front of my Mac all day flipping between terminals. I wanted something that was audio and whiteboard / paper first.
The Pi has a mic, camera, and projector hooked up. The Pi is always listening, so I just say most commands (i.e. "check logs on backend service, customer xyz said abc is wrong"). I can tell it "look at the board" and it can see things I've written or drawn and can project on top of or alongside anything on the board.
Not sure yet if it's more efficient, but it's definitely more fun.
1. they found the dataset and thought "i bet there are weird order combos i could write a blog post about"
2. they did all the analysis and found nothing all that interesting
3. posted it anyway
Definite is ETL, a data warehouse and BI in one app.
Previously founded SeekWell (https://seekwell.io/), acquired in 2021.
twitter: https://twitter.com/thisritchie
email: [email protected]
meet.hn/city/us-Philadelphia