What Is Computer Use? How AI Models Turn Text Into Clicks
Computer use lets an AI agent operate a browser or desktop. Here is the action loop that turns model output into clicks, keystrokes, screenshots, and verified results.
EyesTech: AI Tools Tested. Costs Explained.
Independent evidence on models, coding agents and AI deployment—from real workflows to India economics.
Did We Reach AGI With GPT-6 Astra? The Evidence Says Not Yet
GPT-6 Astra is a major agentic AI milestone, but its benchmark, harness, cost and self-improvement evidence does not yet prove OpenAI’s own definition of AGI.
GPT Astra Reached 99% in ARC-AGI-3, Actually Not Really.
GPT-6 Astra reached 99.95% on ARC-AGI-3 with OpenAI’s Provider Adapter harness. The Standard harness result was 62.71%. Here is what the difference means.
Muse Spark 1.3 in Claude Code: the best harness is not the one you already know
Meta’s Muse Code is the native harness for Muse Spark 1.3. Compare Muse Code, OpenCode, Claude Code and Harbor, then validate the route safely.
GPT Astra Leaks: The 3D Leap Looks Real—The Agent Is Still Messy
An early-access Astra video shows stronger coding, 3D, multimodal and computer-use performance—but also weak UI judgment, slow execution and unreliable agent status.
Muse Spark 1.3 tops Gemini 3.8 Flash on Artificial Analysis—but the benchmark story is messier
Muse Spark 1.3 scores 62 on Artificial Analysis. Compare Gemini 3.8 Flash, DeepSeek V4 Flash pricing, and Terminal-Bench 2.1 vs 4.0.
Gemini 3.8 Flash is out: Google’s benchmarks, pricing, and Antigravity rollout
Gemini 3.8 Flash is now generally available. Here are Google’s official benchmark results, pricing, API limits, effort controls, and the Antigravity rollout—with the caveats builders should know.
Qwen3.8-Max-0902 is live: the cache math behind Alibaba’s 2.4T model upgrade
Qwen3.8-Max-0902 is live on QwenCloud with 1M context and cache-aware pricing. Here is what the benchmarks and API economics actually show.
Claude Fable 5.1: benchmarks, pricing, and the cache-first case for agentic work
Anthropic’s Claude Fable 5.1 pairs large gains on agentic evals with a 75% cache-read cut. Here is what the benchmarks, migration breaks, and X’s 3D demos mean for real workloads.
Tencent’s Hy4 preview is a 770B open model. The real test is deployment.
Tencent’s Hy4 preview has 770B total parameters, 49B active per token and a 1M context. Here is what the benchmarks, demos and serving costs mean.