hglaser
Edit: https://artificialanalysis.ai/models/claude-opus-5-5?models=...
When I graduated in 2007, it was common for tech companies to refuse to let their systems be used for war, and it was an ordinary thing when some of my graduating classmates refused to work at companies that did let their systems be used for war. Those refusals were on moral grounds.
Now Anthropic wants to have two narrow exceptions, on pragmatic and not moral grounds. To do so, they have to couch it in language clarifying that they would love to support war, actually, except for these two narrow exceptions. And their careful word choice suggests that they are either navigating or expect to navigate significant blowback for asking for two narrow exceptions.
My, the world has changed.
Very weird that the foundational LLM companies' own chat pages don't do this.
Building a Resilient, Multi-User Agentic Streaming Application
"We were halfway through shooting season 1, coming through Covid, and the monumental size of the show, the effort, and everything else was just dawning on us. We realized that I didn't have enough calories to do it, and Diego's face couldn't take the timing, because it just takes too long to make it."
https://www.gamesradar.com/entertainment/star-wars-tv-shows/...
"By that point, the work that was required to make the show, at its minimum, was just dazzlingly blinding to look at. And Diego was like ‘Oh my god, we told them we’d do five years.’ Nobody, if we were gonna do it like this, you couldn’t physically do it. It was just impossible."
https://screenrant.com/andor-tony-gilroy-original-five-seaso...
uv is a clear improvement over pip and venv, for sure.
But I do everything in dev containers these days. Very few things get to install on my laptop itself outside a container. I've gotten so used to this that tools that uninstall/install packages on my box on the fly give me the heebie-jeebies.
A 127-year old ham sandwich ekiben
Our relationship to technology is broken
Don't Start an Analytics Company
What I learned selling my company
Snowflake Snowpark Python First Impressions
How to call a Lambda function in another account from AWS Redshift
How to deploy an ML model to production with one line of code
Yeah, the hack you described for CIs is typical of "80% charting". We have a list of probably thousands of longtail visualization requests and we're way past the 80/20 point.
These days customers who want to go 100% use the Python/R editors and do their custom visualization there. So you do your SQL query like usual, but then pipe it to Python/R for the visualization. Have you tried that, and has it worked for you? Or do you prefer another model?
In a perfect world, how would the charting in Periscope work? How would you want to go from getting 80% very fast, to going to 100%, in the same software?
A Whole New World for Data Teams
Periscope Data Community for Data Analysts
Microsoft Launches Azure Database for MySQL and PostgresSQL
`jplitz and `ajones are right. As of now we support MySQL, Postgres, Amazon Redshift, Vertica, SQL Server, Oracle, MemSQL, Sybase, Exasol and Google BigQuery. We add more all the time.
Periscope Data supports cross-DB joins. We cache the data in our own clusters so queries run really fast, and also so you can do things like join across databases and upload CSVs.
More info: http://www.periscopedata.com. I'm harry at periscopedata.com
User Defined Functions for Amazon Redshift
For ping-and-visualize, I'd recommend a tool that'll give you raw access to the underlying data. Some choices are https://amplitude.com/ and https://segment.com/. Happy to chat about pros and cons if you're curious -- [email protected].