# AGENTS.md
- Remove obsolete paths. Ship only current code.
- Use simplest code that meets needs now.
- Build in layers. Ship smallest working version first. Add on top of working product.
- Keep modules separate with clear concerns.
- Prefer mature libraries that simplify or stabilize.
- Check existing deps, docs, and types first.
- Design for the long term.
- Study proven products. Adopt their patterns.
Replying to @leo114119
Have you even tried Terra?
That model is a beast!
So token efficient is ridiculous. Almost like it doesn't even think
Replying to @0xWhiteMage
yes , this at 300 freaking million tokens
Replying to @brandon_galang
Openai even more than anthropic
Their models are so token efficient
Replying to @RamaswmySridhar
Open models were focused on coding not general intelligence.
Also much smaller Nr of params
Billions Vs Trillions
Replying to @daveeyyy_
Tera is the most efficient intel/tokens model ever imo
Replying to @thdxr
thank you for this.
the push I needed for my agent.
Though in the past you said we shouldn't even try coz you guys are so ahead?
Replying to @NartOutHere
It's raining in Bucharest since last 3 days.
Replying to @brandonkruger @DogukanUrker
Don't expect miracles. It's good at tool calling agentic stuff
Not very smart
Replying to @Kamal_AnanD1
due to long horizon not being amounted
teapaw.org/SourceCodeplz/status/2…
Replying to @gadi_neelesh
openai models are so token efficient omg
teapaw.org/SourceCodeplz/status/2…
Replying to @jan_volad
seems like they didnt really track long horizon tasks
teapaw.org/SourceCodeplz/status/2…
Replying to @osanseviero
just dont mess with the writing style and prose.
dont care too much about coding as there are other models better trained for that.
gemma is my GOAT at writing
Replying to @NeoAIForecast
Replying to @SourceCodeplz @ArtificialAnlys
small (700b) open-weights models are great at coding and tool calling but lack world knowledge. because the parameter difference is so huge T to B, of course they also are not as intelligent.
this is i think the difference in this new analysis.


