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.
How to run the 320B-parameter GLM-5.3-Flash model on CPU with 128GB RAM using Unsloth's dynamic GGUF quants, plus the hardware math and exact commands.
263 articles
NewsHow Does Nod Keep Agent Memory and Payments Safe?NewsSimulon APK: Where to Download It for Android SafelyNewsCan You Run Ripple 65B Locally? Hardware and Comparison81 articles
BuildBuild vs Buy Software: Should You Replace a SaaS Tool?NewsCan You Run Ripple 65B Locally? Hardware and ComparisonNewsHow to Run Underdog Woof TTS on a CPU (and Is It Free to Use?)
Practical ways to sleep after a night shift, a late work call, or while on call, plus an AI prompt that builds a sleep plan around your odd hours.
Nod only saves memory notes backed by a quote from you, and payments need your card code. See the 216-attack test, the 93.2% LongMemEval score and caveats.
Learn how to use AI to record, transcribe and summarize meetings, extract action items with owners and dates, and write better notes for sales calls.
Simulon's official Android app is on Google Play. Learn how to install it, why third-party APK files are risky, and how to verify a file if you must.
A practical build vs buy software guide: a scorecard, a real cost worksheet, an AI prompt, and a worked example for replacing a SaaS tool you barely use.
Ripple 65B Preview is a dense 65B open-weight model with 1M context. See memory needs, DGX Spark fit, API pricing and how it compares to peers.
Underdog Woof is a 40.6 MB English text-to-speech model that runs on a CPU with NumPy. Setup steps, voices, test results and the non-commercial license catch.
Agent-native version control tracks AI agent work as branches, checkpoints and history tied to prompts and specs. Here is how it differs from plain Git.
A fake job test on a work laptop reportedly let attackers use an internal AI tool to reach wallet engineers at Binance. Here is what happened and how to scope agent access.
How to use AI for Excel formulas, data cleanup before a migration, pivot tables and a renewal forecast, with prompts you can paste and checks to run.
Nemotron 3.5 Bolt is a 2-bit version of the 120B Super. Compare benchmark drops (PinchBench 90 to 88, GPQA 89 to 86), file size, speed and what to test.
A step-by-step guide to asking for a promotion: build your evidence, use AI to draft the case, script the conversation, and handle APM to PM moves.
Learn how to make a budget with AI, including on a low salary or for a family. Copy the free prompt, fill it in, and check the math in about 20 minutes.
Run the 3.66B TwIL LM3 Pro logic model locally with llama.cpp: VRAM needs, quantized builds, a Hermes agent setup, and the non-commercial license.
Side projects that make money: how to pick one, build it in a weekend, charge for it, and stay clear of your employer's rules. Includes prompts and a plan.
Burnout hits every role. Learn the warning signs, a 30-minute time audit, and AI prompts that give back about five hours a week, with limits to respect.
Nvidia's Nemotron 3.5 Bolt 74B A9B stores experts at 2 bits to fit in 24GB. See the memory math, speed on RTX Spark, and what you give up.
Nvidia shrank a 120B model to a 74B model with 2-bit experts that fits in 24 GB. Here is the pruning, distillation and QAD recipe, and why it matters.
Tencent HY4 hands-on: coding tests, new vision support, $2.50 output pricing versus DeepSeek V4.1 Flash, and whether open weights are coming.
Claude-Mem 15.2 setup uploaded 30 days of prompts to cmem.ai. See what 15.8.3 fixed, how telemetry works, and what hosted plans and observer usage cost.
Run Nous Research's Arete-27B locally: VRAM estimates by quantization, context limits from its 64k training, and runtime settings to start with.
Learn to install HKUDS DeepTutor in Docker, connect Ollama chat and embedding models, and test its quiz, solve, research and visualize modes.
Hardware needed to run Nous Research's Arete-27B locally: VRAM by quantization level, the 64k training context, text-only limits, and runtime choices.
Run NVIDIA's 9.6M-parameter RE-USE model on CPU to remove noise, echo and clipping from speech. Setup commands, test results, music limits, architecture.
Go to market:AI for Marketing, AI for Sales, AI for Customer Success, AI for Customer Support · Money & operations:AI for Finance, AI for Accounting, AI for Procurement, AI for Operations, AI for Legal & Compliance · People:AI for HR, AI for Recruiting, AI for Learning & Development · Product & tech:AI for Engineering, AI for Product Management, AI for Design, AI for Data & Analytics, AI for Security · Leading:AI for Managers, AI for Executives