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What Does It Mean to Be a 'Manager of Intelligence' at Work?
AI is becoming a third economic input alongside labor and capital. Here's what it means to manage it as an individual employee.

Could AI Voices Like Dessa Make Phone Scams Worse?
Dessa's full-duplex AI voice sounds fully human. Here's why that raises the risk of phone scams and why detection tools struggle to keep up.

Carbon-X Benchmarks: How It Stacks Up Against GPT-6.1 and Opus
Carbon-X hits 66.7% average across five DNA benchmarks, nearly matching GPT-6.1 Sol at roughly 1/1,800 the inference cost.

What Is Decision Node? The AI That Decides Instead of Chats
Decision Node skips chat and returns typed, confidence-scored answers from text and images. Here's how the AI decision engine works.

Decision Node Pricing, API, and CLI Access Explained
Decision Node charges a few cents per million tokens, output is free, and batch jobs cut costs further. Here's how pricing, API, and CLI work.

DeepSeek V4.1 Flash Pricing vs Claude: How Much Cheaper Is It?
DeepSeek V4.1 Flash undercuts Claude Sonnet by up to 17x on output and 67x on cached input tokens. Full price breakdown inside.

Will AI Voice Models Like Dessa Replace Call Center Jobs?
Dessa's human-like voice AI raises a real question: can call center and customer service jobs survive conversation this realistic?

Why Per-Token and Per-Seat AI Pricing Is Breaking Down
Enterprises are rethinking AI pricing beyond tokens and seats toward outcome-based deals and partnerships. Here's what's driving the shift.

FLUX 3 Klein Tested: Has AI Image Generation Plateaued?
Hands-on tests of FLUX 3 Klein's text rendering, image editing, and multi-reference generation show mixed, incremental gains over FLUX 2.

Kimi K3.1 Pro vs Claude Opus: Is the 50% Discount Actually Real?
Kimi K3.1 Pro's token price looks half of Claude Opus, but agentic tasks reveal a cached-token catch that can erase the savings entirely.

Kimi K3.1 Pro vs Claude Opus 5.5: 13-Task Agentic Coding Test
A 13-task head-to-head pits Kimi K3.1 Pro against Claude Opus 5.5 on long agentic coding runs, revealing cost surprises and quality gaps.

How to Run Lean REA With DeepSeek V4.1 Flash in Panda Code
A step-by-step setup guide for Lean REA and DeepSeek V4.1 Flash inside Panda Code, built for reverse-engineering work Claude Code now refuses.

Nanbeige4.3-33B Benchmarks: Does This 33B Model Beat Qwen3.8-27B?
Nanbeige4.3-33B's benchmark scores on agentic coding and cowork tasks, compared against Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B.

Nanbeige4.3-33B Benchmarks: How It Stacks Up on Agentic Coding
Nanbeige4.3-33B's Terminal-Bench, SWE-Bench Pro, and cowork benchmark scores against Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B.

How to Run Nanbeige4.3-33B Locally with vLLM or SGLang
A practical guide to deploying Nanbeige4.3-33B locally with Transformers, SGLang, or vLLM, including thinking mode and tool-use setup.

AI Agents in Cyber Defense vs Offense: Why the Strongest Model Wins
Attackers now use agentic AI to find and exploit flaws at scale. Here's why defenders need the strongest models available, not weaker ones.

PHP, eMudhra, LightLLM: Inside October's AI-Driven Security Breaches
PHP vulnerabilities, weak eMudhra keys, and a LightLLM supply-chain hack defined a brutal October. Here's what happened and why AI changed the stakes.

AI Is Making Kernel Exploit Creation Faster, Says Linux Maintainers
Kernel maintainers say LLMs now speed up both vulnerability discovery and exploit writing, raising new open source security response concerns.

CLI-Anything: Turn Any App Into a CLI for Claude Code and Codex
CLI-Anything auto-generates command-line interfaces for GIMP, Blender, LibreOffice and more, giving AI coding agents real tool access.

Dessa: Block's Unreleased Full-Duplex Voice AI, Explained
Dessa is Block's unreleased speech-to-speech model trained on audio alone. Here's what it claims and how natural it actually sounds.

Harness² Explained: How Self-Evolving AI Agents Rewrite Their Own Tools
Harness² lets AI agents rewrite their own tools, skills, and control loop mid-task. Here's how the self-evolving harness works and where it fails.

How LLM Inference Works: Prefill, Decode, and the KV Cache
A technical breakdown of how an LLM request moves through routing, prefill, decode, and KV caching, and why inference costs dwarf training over time.

Linus Torvalds on AI-Written Linux Kernel Patches: Inside the Debate
How the Linux kernel maintainer summit tackled LLM-generated patches, the Sashiko review bot, and why Torvalds now won't code without an LLM.

NVIDIA Nemotron 3.5 Bolt E4B: Benchmarks vs. Hands-On Reality
NVIDIA's 4B small model claims speed and smarts gains over rivals. Here's how those benchmark claims hold up against coding, math, and language tests.