A genuine beginner’s guide to running an AI model on your own computer: install Ollama, one line to download a model, an optional chat window, honest hardware expectations, and what local AI is (and isn’t) good at. Part 3 of Own Your AI.
MIT found 95% of enterprise AI projects deliver no return. The problem isn’t the models, it’s a learning gap, which is exactly what Angus the Nontechnical argues: buy training, not tech. An original take, with a caveat the vendors won’t give you.
Veo, Kling, Runway, Hailuo, Luma, Pika and music-video specialist Neural Frames, ranked and compared using what Reddit and reviewers report.
Suno, Udio, ElevenLabs and more, ranked on quality, price and who is actually cleared to use. What Reddit and reviewers really say.
Nano Banana Pro, Midjourney V8.1, FLUX, GPT Image, Ideogram and Firefly, ranked and compared on what users, Reddit and reviewers actually report.
PsiQuantum signed a $125m expanded DARPA deal on 22 July 2026, its largest US government contract, to validate its utility-scale photonic quantum design.
Google’s Willow chip now uses a reinforcement-learning agent to tune 1,000+ controls while it computes, cutting logical errors ~20% and setting a record.
Fireworks AI raised $1.5bn at a $17.5bn valuation, backed by Nvidia, to run open models cheaply. The inference layer is where the next money is.
SK Hynix posted record Q2 2026 revenue of 79.3tn won on AI memory demand and started mass-producing HBM4. The AI boom now runs on Korean DRAM.
Cursor Automations let a coding agent wait for a GitHub PR, Slack ping or cron, then do the job and report back. A plain setup guide for small teams.