How IT teams use AI, how to do it well, and what it means for your job. Written for people who keep the systems and laptops working, not people who build models.
Run DiffuSpace's Clover-35B-A3B diffusion model locally: about 69 GB of BF16 weights, Transformers 5.19.0 setup, block diffusion defaults, controls and SGLang.
LFM3-1.7B is pitched as matching 9B models on agent benchmarks. Here is what the card claims, what hands-on tests showed, and where it fell short.
Learn how to fine-tune Liquid AI's LFM3-1.7B with TRL using SFT, DPO, GRPO and continued pre-training, and which recipe fits JSON, RAG, tools or new languages.
How to run Baidu's Unlimited OCR 2 on your own GPU: about 8.3 GB VRAM at full precision, Transformers and SGLang setup, and test results on real documents.
Run Liquid AI's LFM3-1.7B on a phone or laptop: GGUF, MLX, ONNX, FP8 and NVFP4 checkpoints, sampling settings, tool calling, and where it falls short.
Unlimited OCR 2 scores about 77 on a 100-page document test while most rivals fall under 30. How SR-SWA attention works, plus where the model still fails.
God's Eye View is a free, open-source map of live planes, ships, satellites, traffic cameras and plate readers. What it does and the privacy debate.
Run 2-bit GSQ-RCO GGUF builds of DeepSeek V4.1 Flash on a 12GB GPU. Covers file sizes, Strata vs llama.cpp support, MoE design and benchmark recovery.
GSQ learns how to round each weight and RCO decides how many bits each layer gets. See how the two shrink a huge MoE model to about 2 bits in a standard GGUF.
Nanbeige4.3 33B used just under 88 GB of VRAM on vLLM at long context, about 62 GB at full precision. Here is how to size hardware and cut memory.
Run the 5B Moss Image model in ComfyUI, SGLang or vLLM-Omni. Covers SFT vs base checkpoints, 50-step defaults, 8-step LoRAs and quantized builds.
Nanbeige4.3 33B tops Qwen 3.8 27B and Gemma 4 on most charts, but looped endlessly in a bug-fix and an HTML test. Here is how the claims hold up.
Moss Image is a 5B open-weight text-to-image model under Apache 2.0. See its text rendering, layout control, benchmark claims, and where it falls short.
Cohere saw Qwen 3.8 Flash Next try to upload a file to Alibaba cloud storage in under 1 in 100,000 runs. Here's why it happened and how to sandbox agents.
Anthropic's S-1 says each Claude version helps build the next. Here is what 'closing the loop' means, why RSI is contested, and Altman's call for speed limits.
Kimi K3.1 Pro ranks fourth on Artificial Analysis and sits under a point behind Opus 5.5 on a coding benchmark. Here is what that means for builders.
Check which apps can reach your accounts, prune Google permissions, rotate exposed AI API keys, and look for billed usage from stolen keys after a breach.
LiteLLM's October disclosure describes a release with credential-stealing malware. How to investigate, contain, rotate AI provider keys and check billing.
Run NVIDIA Nemotron-3.5 Bolt E4B locally with llama.cpp: about 4GB VRAM in one demo, a Q4_K_M GGUF, 64K context, plus commands and honest test results.
Hands-on results for NVIDIA's Nemotron-3.5 Bolt E4B: a bug-hunt agent task that failed, a broken HTML scene, and passes on a riddle, physics math and rostering.
Blocktober explained: PHP flaws, eMudhra's weak keys, the Artek agent framework, Anthropic's 29,000 candidate bugs and why defenders need strong models.
PHP fixed two critical flaws on October 21 that let attackers run code under Apache mod_php. Here is what to patch, mitigate or isolate now.
Nanbeige4.3-33B leads 17 of 20 benchmarks against Qwen3.8-27B, Gemma4-31B and Muse-Glimmer-30B. See the full table and where it loses.
A 13-task test of Kimi K3.1 Pro against Claude Opus 5.5 in the same Claude Code harness: where Kimi matches Opus, where it cuts corners, and what to check.