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Every published item, in order · 131 items
Oct 4
Oct 3
ModelsUS vs ChinaMulti-sourceSelected73°00:00
GLM-5.3 matches Claude in vulnerability testing

The performance gap between open-source and closed models is narrowing faster than expected, with GLM-5.3 demonstrating competitive vulnerability exploitation capabilities. Developers and security researchers should evaluate this model for ethical hacking and security testing applications, especially given its open weights nature that allows for customization and inspection.

Event
DeepLearning.AI@DeepLearningAI7 sourcesSource
Sep 30
ModelsBuildersMulti-sourceSelected10:45
SPLASH system switches attention layouts

SPLASH eliminates the need to restart workers when changing attention layouts, enabling dynamic adaptation to varying workloads. Developers can implement this to optimize LLM serving efficiency across different hardware configurations and model sizes, with particular benefits for handling mixed workloads that transition between short and long requests.

Event
arXiv: DeepSeek@Chuan Liu et al. (9)9 sourcesSource
Sep 29
Sep 25
ModelsBuildersMulti-sourceSelected09:41
TileRT and AMD push GLM-5.3 to 469 tok/s decode on MI355X

A disaggregated prefill-decode split is becoming the practical recipe for low-latency serving, and this run shows AMD hardware competing at interactive agent speeds rather than just batch throughput. Developers benchmarking inference stacks should note that the V1 connector lets third-party decode engines plug into vLLM without forking the stack. The result also gives GLM-5.3 a concrete serving data point against US-frontier-model deployments on NVIDIA GPUs.

Event
官方账号vLLM@vllm_project3 sourcesSource
ModelsUS vs ChinaMulti-sourceSelected73°00:14
GLM-5.3 Edges Space Bunny Alpha in Physics Simulation Test

Head-to-head physics benchmarks remain rare, and this one suggests GLM-5.3 holds an edge over an unnamed stealth competitor on collision-accurate simulation. Builders testing video or world models can replicate the 5-scene setup to compare candidates on dynamics rather than visual polish. The stealth model's OpenRouter availability makes it easy to verify the result firsthand.

Event
rohanpaul_ai@rohanpaul_ai3 sourcesSource
Sep 23
ModelsUS vs ChinaMulti-sourceSelected19:27
Step 5 Preview tested on two real coding tasks

Benchmark scores can hide whether a model survives long, multi-step builds, so the value here is watching Step 5 Preview handle mechanical synchronisation and real tooling rather than canned puzzles. Developers choosing between Step 5, GLM-5.3, Kimi K3 and Claude Opus 5 get a practical cost-versus-reliability comparison for agentic coding workflows. The stated price gap makes it a concrete candidate for teams in Southeast Asia and beyond cutting per-task inference spend.

Event
掘金本周最热@猫猫头啊6 sourcesSource
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