@ATCalder
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Today we're launching OM2.
Your AI re-reads your entire company from scratch every time you ask it something.
It’s why more than 50% of your token bill isn't in the answer, but in the search for it.
OM2 gives your AI a permanent memory of your company. 🧠View quoted post on X
It is clear open source models and harnesses are having a moment. There's a few factors at workView quoted post on X
1/ It is now obvious that you can catch up to near-SOTA performance and do so with a clear training lineage. See:@thinkymachines Inkling launch today.
2/ There are several well-funded, talented teams building open weight models now in the US and abroad. Along with the explosing of other near SOTA models (Grok/Cursor, Muse Spark), it is clear we are going to have a diverse ecosystem of models atleast on coding and agentic use.
3/ Organizations are increasingly looking for control over how their data is used and are willing to trade off some access to frontier level tokens for this control. Organizations and countries are increasingly nervous about the frontier labs potentially competing with them down the road and don't want their data to enable a future competitor.
4/ Open source is a slider: you could bring your own open harness, your evals, your business context and are free to pick and choose your model of choice.
5/ Companies have now actively shifted from "how do we get our people to use tokens" to being uncomfortable with their token cost ballooning without a clear line to revenue.
6/ Geo-politically, countries will be weighing open weight models as a way to get frontier-level tokens inside controlled environments that may not be otherwise possible.
All of this leads to more choice for all of us !
IT'S HAPPENING
any second nowView quoted post on X
🚨 YOU'RE OVERPAYING FOR AI BY 5X. AND ALMOST NOBODY HAS NOTICED.View quoted post on X
every task you run goes to the most expensive model, even when an open model one nails it for a fraction of the price (yes, the one china dropped during the Fable 5 ban benchmarks near Opus 4.8).
You can fix it and save thousands with this new tool:
→ it routes each task to the right model, open or closed, automatically
→ same frontier quality, ~5x less in tokens
→ ask for a deck, dashboard, doc or app, get better results with less.
I ran it on real client work and they couldn't tell the difference. except in the bill lol.
stop paying frontier prices for intern tasks.
