Hi, I'm an indie dev deep in agent workflows and real-world AI.
Here I share hands-on tests of new models and coding tools, honest takes, and the pitfalls I hit.
I also build LightAI: one key for the latest GPT & Claude at 30% of official prices. https://t.co/lrxoIHLGwZ
ok google is actually cooking now. Hydrogen at $1.50 / $7.50, flat all the way to 1M, lands right between Terra ($1/$5) and Sonnet 5.5 ($2/$10)
the one line that made me wince: on Vertex, from Nov 13, a Gemini 4 output past 32K still bills you even if it times out
https://t.co/SJRFDL2P4E
Introducing Gemini 4 Hydrogen, an extremely capable and fast model built to bring Gemini 4 to everyone!
Available to all tiers of Google AI Studio, Gemini API, Gemini for business, the Gemini app, Google Search, and paid Google AI Pro + Ultra subscribers in Google Antigravity.
a test i'm keeping for side projects: what's your f()?
if more gpus or tokens wouldn't clearly mean more output, you don't have a scaling problem. the plane just isn't flying yet. a lot of "we just need more compute" projects are stuck right there
https://t.co/YhYKUZsQKY
i am insanely underslept in this clip but i feel very strongly about this principle. most times your job in the world is to turn things into “just” f() of something (dollars/gpus/tokens/standard labor/…)
The consistency trick that actually stuck: generate image #1, then never let go of it.
Everything after that is just edits off the anchor. Two sticker packs on gpt-image-2.6, about $4 in leftover API credit. The deadpan fox is the one I keep opening.
https://t.co/EmeF0CMm7x
One API key for the latest flagships: Claude Opus/Sonnet 5.5, Fable 5.2, GPT-6 / 6.1. All at 30% of official prices.
• Native Anthropic + OpenAI APIs
• Claude Code: https://t.co/lrxoIHLGwZ (no /v1)
• Cache reads from $0.015/1M
Pricing: https://t.co/30Q4AO6onu