That model, Qwen 3.5 27B Dense is equal to Sonnet 4.5 Runs great on a single RTX 5090 w/ full context But we are not anywhere near Opus 4.5 even with Qwen 3.5 397B MoE
AI
-
Kimi K2.5 First End-to-End Run in NVFP4 Precision
By
–
Not saying that OP isn’t farming. But Kimi K2.5 was only post-trained in NVFP4. This is the first end-to-end run in NVFP4.
-
Frustrated dev switches AI coding tools
By
–
mdr c'est quoi cette merde ? En meme pas 24h et 5-6 requetes pour retravailler du front je suis a 34% ????? Ah oui je me rappel mieux pourquoi j'avais résilié Cursor maintenant … Je pense je vais prendre le mini plan de claude code en complément de codex et voilà.
-
DDP-WM: Robots Plan Complex Actions Without Computational Overhead
By
–
What if robots could plan complex actions instantly, without massive computational overhead? Researchers from Sun Yat-sen University and X-Era AI Lab unveil DDP-WM. This new world model smartly separates a robot's world into critical physical actions and less important
-
Free Cybersecurity Upside Down eBook Available from OPSWAT
By
–
You can receive a copy of "Cybersecurity Upside Down" for FREE by visiting http://
OPSWAT.com or by using this direct link: http://
opswat.com/cybersecurity-
upside-down
…. -
Security Budget Strategy: Beyond Compliance Checkbox Thinking
By
–
#sponsored by Opswat
— Lucian Fogoros (@fogoros) 14 mars 2026
Is the security budget following a trend or solving a problem?
During S4x26, Benny Czarny addressed the tendency to double down on industry standards even when they fail to perform. He suggested a shift away from "checking the box" and toward investing in… pic.twitter.com/JdPZvitgXZ#sponsored by Opswat
Is the security budget following a trend or solving a problem? During S4x26, Benny Czarny addressed the tendency to double down on industry standards even when they fail to perform. He suggested a shift away from "checking the box" and toward investing in -
Full Model GPU Offload Required to Avoid Performance Bottlenecks
By
–
Partial offloads wouldn’t work because this will create a severe bottleneck That’s why the full model has to be offloaded to the GPU to see actual performance gains
-
GPU Offloading Offers 1800Gbps vs DGX Spark’s 273Gbps
By
–
Yeah that is definitely faster because you’re fully offloading to the GPU which runs at ~1800Gbps in comparison to DGX Spark’s 273Gbps
-
FeatureBench: Evaluating LLM Coding Agents on Complex Software Features
By
–
How well do LLM coding agents truly perform on complex, end-to-end software feature development? Researchers from the Institute of Automation, Chinese Academy of Sciences and Huawei Technologies Co., Ltd. introduce FeatureBench, a new benchmark using a scalable, test-driven
-
The role of advanced AI in solving complex systemic challenges
By
–
I honestly don’t see how any of this gets fixed without the arrival of advanced AI.