bug-bounty498
google355
xss301
microsoft298
facebook263
rce211
exploit200
malware171
apple164
cve136
account-takeover115
bragging-post102
privilege-escalation95
csrf90
phishing86
browser75
writeup74
authentication-bypass69
supply-chain68
dos66
stored-xss65
reflected-xss57
ssrf56
reverse-engineering55
react52
access-control51
input-validation49
cross-site-scripting48
cloudflare47
aws47
lfi46
web-security46
docker46
sql-injection45
smart-contract45
web-application44
ethereum44
ctf43
node43
web343
defi43
oauth43
pentest40
race-condition39
cloud37
idor37
open-source37
burp-suite36
info-disclosure36
auth-bypass35
0
7/10
A comprehensive survey of 16 open-source reinforcement learning libraries that implement asynchronous training architectures, analyzing design choices across 7 axes (orchestration, buffer design, weight sync protocols, staleness management, LoRA support, distributed backends) to optimize GPU utilization by disaggregating inference and training workloads.
reinforcement-learning
asynchronous-training
gpu-optimization
distributed-training
model-inference
rollout-buffer
weight-synchronization
lora-training
vllm
ray
nccl
post-training
chain-of-thought
agentic-ai
mixture-of-experts
orchestration
TRL
Ray
NCCL
vLLM
GRPO
LoRA
MiniMax
Forge
Deepseek v3.2
Amine Dirhoussi
Quentin Gallouédec
Kashif Rasul
Lewis Tunstall
Edward Beeching
0
1/10
A developer discusses productivity challenges with agentic coding tools, specifically how the frequent wait times and interruptions between agent confirmations prevent reaching deep focus/flow state compared to traditional coding.