Tootfinder

Residuality Theory: A Rebellious Take on Building Systems That Actually Survive
#resiliency

This https://arxiv.org/abs/2503.09492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Learning Cascade Ranking as One Network
Cascade Ranking is a prevalent architecture in large-scale top-k selection systems like recommendation and advertising platforms. Traditional training methods focus on single-stage optimization, neglecting interactions between stages. Recent advances have introduced interaction-aware training paradigms, but still struggle to 1) align training objectives with the goal of the entire cascade ranking (i.e., end-to-end recall of ground-truth items) and 2) learn effective collaboration patterns for d…

Series C, Episode 05 - The Harvest of Kairos
VILA: We got it, we got it!
TARRANT: Yes, I know, only I was saving that trick for when they both attacked at once.
VILA: There's only two left now; no trouble.
https://blake.torpidity.net/m/305/300 B7B3

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

I think we will soon see an AlphaGo moment somewhere in embodiment. Maybe in robot football?
pi_0 is the Atari moment: https://www.physicalintelligence.company/blog/pi0 We now know that training at scale works and generalizes remarkably well.
This is the trigge…

Our First Generalist Policy
Our first generalist policy, π0, a prototype model that combines large-scale multi-task and multi-robot data collection with a new network architecture to enable the most capable and dexterous generalist robot policy to date.

I have released LLama2.c64 - an LLM running on a C64 with 2MB REU. It runs the Llama2 LLM architecture, using the tokenizer and weights from the Tinystories 260K model.
It's a storytelling model that tries its best to spin your prompt into a story, as if told by a kindergarten child. It will generate one output token about every 8 minutes.
…

Series C, Episode 05 - The Harvest of Kairos
VILA: We got it, we got it!
TARRANT: Yes, I know, only I was saving that trick for when they both attacked at once.
VILA: There's only two left now; no trouble.
https://blake.torpidity.net/m/305/300 B7B3

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

This https://arxiv.org/abs/2503.09492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Learning Cascade Ranking as One Network
Cascade Ranking is a prevalent architecture in large-scale top-k selection systems like recommendation and advertising platforms. Traditional training methods focus on single-stage optimization, neglecting interactions between stages. Recent advances have introduced interaction-aware training paradigms, but still struggle to 1) align training objectives with the goal of the entire cascade ranking (i.e., end-to-end recall of ground-truth items) and 2) learn effective collaboration patterns for d…

Enabling Syscall Intercept for RISC-V
Petar Andri\'c, Aaron Call, Ramon Nou
https://arxiv.org/abs/2505.10217 https://arxiv.org/pd…

Enabling Syscall Intercept for RISC-V
The European Union technological sovereignty strategy centers around the RISC-V Instruction Set Architecture, with the European Processor Initiative leading efforts to build production-ready processors. Focusing on realizing a functional RISC-V ecosystem, the BZL initiative (www.bzl.es) is making an effort to create a software stack along with the hardware. In this work, we detail the efforts made in porting a widely used syscall interception library, mainly used on AdHocFS (i.e., DAOS, GekkoFS…