👇👇 these models, inside our harness, hit DIFFERENT. You just gotta try it to understand 😘
(We are thinking about offering a more affordable tier. But, for one subscription price right now, you get NO rate limits on usage FWIW)
Big WeGPT update just went live.
Models added:
Sonnet 5.5, Opus 5.5, GPT-6, and 6.1-Sol, Gemini 3.8.
WeGPT.ai
who remembers the Beta map rotation?
[Archive] Before you could make a living posting quickscoping montages on YouTube. Before there even *was* a YouTube… we forerunner CoD elite encoded .avi files in DivX, set to absurdly metal soundtracks, and hosted them ourselves for the world to see.
This was me 🤘 (2004)
✋Josh Olin retweeted
Serious CoD fomo. BO1 was my fav so I feel like I’m missing out 😭
Sharing another decade-ish montage I made of MwR back in the day. @JoshOlin @DavidVonderhaar when is the gang getting back together for WaW remastered? @Treyarch
🚨NOTICE: do NOT buy a cheap green laser pointer on Amazon, 1 milliwatt or above, and point it at a Flock surveillance camera. That would destroy its sensors, rendering them inoperable, and seriously piss off the techno-oligarchy.
I repeat — DO NOT do this. This would be wrong…
Agentic AI fusion center? 🤫👇
wegpt.ai/rooms/aba638a3-88b3…
🗣️ Tax providers for token production. Refund that tax downstream only to platforms whose revenue is decoupled from token consumption.
That’s the cleanest vision.
Most AI companies make more money when people use more tokens:
more prompts, more turns, more overages, more dependency.
So their incentive is simple:
maximize consumption.
WeGPT is the opposite.
- Users pay WeGPT a flat subscription.
- WeGPT pays providers per token.
So WeGPT wins when users get the right result faster, with fewer tokens.
That means better routing, better caching, less waste, and fewer unnecessary turns.
So the right design is:
1Tax tokens at the provider level.
2Give downstream credit only to platforms that do not charge based on token usage.
3Keep the formula simple:
Aligned Intermediary Credit = Passed-Through Token Tax × Fixed-Revenue Share
Fixed-Revenue Share = Fixed AI Revenue / Total AI Revenue
If a company makes more money when token use goes up, it should bear the tax.
If it makes less money when token use goes up, it should get relief.
Tax token supply.
Reward platforms that profit from user efficiency, not user consumption.
WeGPT.ai
We should federally tax Tokens at the Provider level.
Not a lot. Less than 50c per million tokens.
It will accomplish 4 things (at least )
1. It will push the big AI players to optimize tokenization, caching , routing and localization
Which will
2. Reduce energy usage. Saving them in energy costs more than what they paid in tax and reducing strain created by the growth in energy consumption
Which will
3. Generate maybe 10 billion dollars a year to start, but over the next ten years could grow 30x to 100x
Which will
4. Create a source of funding to pay down the federal debt or deploy, in response to the things AI brings that we don’t expect or don’t like
At some point the models will pass it on to customers. Of course. That’s ok. Customers will have the ability to choose between providers. Or to do everything using open source models locally.
Thoughts ?
Want to see how WeGPT vibe coding works? It’s awfully different from how codex or Claude code handled things. It is significantly more efficient, and cognitively linear in nature.
Building a little old school raycasting game in a browser 👇
wegpt.ai/rooms/5aaa43dd-a189…
✋Josh Olin retweeted
When your message of the day turns into message of the last 15 years @JoshOlin
✋Josh Olin retweeted
“Dear future humans.”
“We’re sorry,”
(Not written or directed by a single human)
youtu.be/Q1KhvvkHjKg?si=Whcv…
✋Josh Olin retweeted
‼️ Asking Claude Sonnet 4.5 to perform deep research comparing @WeGPTai against frontier LLM providers — and asking it to save its report in a GitHub gist.
Here’s the unedited report 👉 gist.github.com/RealJD2020/9…



















