zenlikethat

6 ms·

1.
by zenlikethat 16d ago
(1) Nope, it's always the same input token cost (2-3) No, but that's kind of a sick cook ... Want to get access and try it? nathan@typesafe.ai
2.
by zenlikethat 16d ago
> I assume this isn't really for consumers/individuals currently? Unless they're hackers, no. It's not really a chat interface, it's meant for consumption by machines and composing into higher level systems (pair
3.
by zenlikethat 16d ago
Yeah that's precisely correct. For e.g. classification tasks, even in 2026 people are doing things like hallucinating deliberately, and then matching the hallucinations to embeddings - https://softwaredoug.com/blog&#x2F
4.
by zenlikethat 16d ago
It's pretty darn smart. If you did want to hack on it in earnest and find out for yourself, send me an email - nathan@typesafe.ai
5.
by zenlikethat 16d ago
love it. send me an email and i'll try to get you moved up on the list? nathan@typesafe.ai
6.
by zenlikethat 16d ago
Nothing, but imagine using LLMs for a classification task People out there are so resigned to the models being unreliable that they are really doing things like hallucinating deliberately, and then matching the hallucinations to embeddings
7.
by zenlikethat 16d ago
Not in the traditional sense of a coding agent, but we think there's a ton of opportunity in using it for context management ("do we _really_ need to pass all these tokens to the agent?"), semantic linting ("how does thi
8.
by zenlikethat 16d ago
join the discord! we love forward thinkers
9.
by zenlikethat 16d ago
That's kinda the goal. Imagine all the automation in the world being able to embed intelligence directly inside it - factories could route based on more complicated questions, hardware could anticipate your needs. Customer support coul
10.
by zenlikethat 16d ago
Yeah, it doesn't output strings, just decisions/answers.
11.
by zenlikethat 16d ago
The model can't reason comprehensively (e.g., like Sol XHigh would to solve a complicated problem), but it's designed to be able to answer anything a human reasonably could quickly and intuitively, i.e., system one thinking: http
12.
by zenlikethat 16d ago
It's a bit hastily put together, but I made a dspy fork where you can add a decorator to automatically use TypeSafe where possible on Signatures. It shows a fair bit of what actual, hands on usage looks like. https://github.
13.
by zenlikethat 16d ago
Strings trigger us
14.
by zenlikethat 16d ago
It's very generalized. Can't wait until everyone can see it.
15.
by zenlikethat 16d ago
> the model takes as input a state (structured text? not sure if multi-modal) Input, and criteria/instructions can both be defined as structured input (JSON). This ends up being pretty powerful because the model is trained to unders
16.
Jev: The Model That Gives AI the Properties of Code(twitter.com)
17 points by zenlikethat 16d ago|3 comments
17.
by zenlikethat 1y ago
I found that bit slightly ironic because it always seems to produce slightly cringy Go code for me that might get the job done but skips over some of the usual design philosophies like use of interfaces, channels, and context. But for many
18.
by zenlikethat 1y ago
That’s a great question. Diffing is one area we’ve thought a bit about but still need to dedicate more cycles to. One thing I would be curious about is, what are you doing in these notebooks to check? For what it’s worth, could possibly hav
19.
by zenlikethat 1y ago
The code you execute on your data currently runs in a per-customer AWS account managed by us. We leave the door open for BYOC based on the architecture we’ve designed, but due to lean startup life, that’s not an option yet. We’d definitely
20.
by zenlikethat 1y ago
Some similarities, but Bauplan offers: 1. Great Python support. Piping something from a structured data catalog into Python is trivial, and so is persisting results. With materialization, you never need to recompute something in Python twic
21.
by zenlikethat 1y ago
Yep, staying service. RE: workflow orchestrators. You can use the Bauplan SDK to query, launch jobs and get results from within your existing platform, we don’t want to replace entirely if it’s doesn’t fit for you, just to augment. RE: Duck
22.
by zenlikethat 1y ago
> or is this a platform that maybe runs on k8s and provides its own serverless compute resources? This one, although it’s a custom orchestration system, not Kubernetes. (there are some similarities but our system is really optimized for
23.
Blending DuckDB and Apache Iceberg for Optimal Cloud OLAP(bauplanlabs.com)
6 points by zenlikethat 2y ago|0 comments
24.
by zenlikethat 2y ago
Nah, you definitely need calls. The idea that any product sells itself to the point that a venture backed startup needs is laughable. Lots of potential customers are clueless but excited and in order to book large contracts, you need someon
25.
by zenlikethat 2y ago
I'll talk to the team about it, thanks
26.
Build, ship and run containers is too slow for Python(bauplanlabs.com)
1 points by zenlikethat 2y ago|2 comments
27.
by zenlikethat 2y ago
That’s a great way to put it, ha ha. Toxic human, but hard to deny the results.
28.
by zenlikethat 2y ago
Give it another two years of high interest rates washing people out into non-tech sales, finance, trades, whatever... but there are plenty out there, the bros are just far louder.
29.
by zenlikethat 2y ago
Depends, I've come across plenty of people who act like what you say there, probably because it's a variant on the natural human tendency to cast blame on something besides ourselves, but... these days, things move so fast and we
30.
by zenlikethat 2y ago
I've been musing lately as well that a challenging part of the job is not just "coding", it's working with other software engineers. Each cat to herd has their own quirks, differences, stylistic choices etc. that sometim

More ›