> The L100 summary never printed because the pkill command killed its own shell before it could finish
Hard but true
great post from @exedev team - the same thing that has always been true of software engineering is still true:
Do fewer things in parallel, do them very well, optimize for getting incremental value out to users, FOCUS
It's been 30 years since the XP and Lean folks said "limit work in progress (50+ if you count the eli goldratt thing) - its still true
blog.exe.dev/etoomanythings
My wifi/cloud connected panel heaters stopped working with the app a few years ago.
Me and Opus 4.8 just reverse engineered it all, found a takeover, flashing custom modified firmware, full local control with no cloud required.
Hell yeah.
Still playing with hypencoders, they are so cool to me. I made a notebook where you can train a toy model in just a few minutes
and shows it can learn to do xor "queries" where the comparable biencoder can't
github.com/treygrainger/ai-p…
Andreas Eriksen retweeted
I’m excited to join the speaker lineup at Vespa.ai Live! My session will explore Nuances of Binarized Embeddings-Based Retrieval
If you’re attending, let me know — would love to connect at the event.
Andreas Eriksen retweeted
My opinion on tokenmaxxing is companies shouldn’t mandate/constrain any tools at all and then evaluate software developers by output / (salary + token use)
Andreas Eriksen retweeted
Vespa isn't only powering American AI, now it's also @MistralAI's retrieval solution
Andreas Eriksen retweeted
bm25 is nice and all, but you won't believe how easy it is to improve upon it with and how much more you can squeeze from lexical features in @vespaengine
Andreas Eriksen retweeted
Hypencoder is now ready for production using Vespa! Props to @andreer for making it happen! Really great stuff!
Just added a sample app for how to search with hypencoder models on Vespa. A large meta-model that generates a small query-specific model that scores your docs - it feels like pure science fiction, but of course we can do it: github.com/vespa-engine/samp…
Andreas Eriksen retweeted
A metamodel that generates weights for a NN for each query on the fly and using the same net for ranking documents against the same query - cool idea by @Julian_a42f9a
But, can you do it completely within @vespaengine , at scale, with reasonable latency (a few hundred ms)?
@andreer: hold my beer... (red bull)
🤯
Just added a sample app for how to search with hypencoder models on Vespa. A large meta-model that generates a small query-specific model that scores your docs - it feels like pure science fiction, but of course we can do it: github.com/vespa-engine/samp…

















