I just used @MetaMask to pay for decision models, confidentially, with zero-knowledge. Excited to bring zkAPI by @ethereumfndn and @OpenAnonProject to Sage: - Deposit ETH once. - Generate keys with ZK proofs. - Give a key to your agent. - Your agent makes decisions, and they can't be linked to the wallet you deposited from. Play with it 👇

Maybe agents don’t need humans to decide how they should self-improve with decision models. They can just use... their SageWisdom 😂 Just throw this to your agent and have FUN

Sage by @LevantoLabs is the first decision model, launched in July, and currently the best on the market. It wins across all the evals proposed by @perplexity_ai's CEO (nice job @AravSrinivas!), and it's first on JevBench, beating Jev and Google's models on every dimension. BUT frankly, benchmarks are not what excites us. I'm BORED by the dozens of new decision models launching every day with a tiny +0.02 on some eval. They all look the same. The magic is somewhere else. There are thousands of new things that could be invented in the space of decision models and models for machines. The invention space is huge! After launching Sage, we also pioneered: - The first guardrails and model routers built on decision models - Automated context engineering with "grounding" (automatic web search when confidence is low). Decision models are only as smart as their context, especially because they can't make tool calls. - Reasoning. In many use cases you don't know whether your question is System 1 or System 2. With reasoning, the model is as fast as a System 1 model when the question is System 1, and takes more time when it's needed. This enables hard, multi-step decisions. Our clients just want the correct answer, and in some use cases they're happy to wait 0.5s more. This will soon become the market standard (GLiDE/@george_onx and @TypeLLM already followed). And *so* much is yet to come. Models for machines: it's just the beginning! We're cooking. Follow @levantolabs for new product primitives that will surprise you. Open innovation is HEALTHY. Competition is HEALTHY. Benchmark-race is BORING. Product inventions are FUN. Go go go!!!

On JevBench, Sage1 scores better on accuracy than other System1 models, with a similar median latency. When multi-step reasoning is required, Sage has 93% accuracy vs. 71% for other System1 models. Sage is smart enough to know when to be fast and when to think step by step, covering both System1 and System2. When Sage activates reasoning, it takes on average 3X longer to decide.

Since we launched the first decision model in July, we've been concerned that models like ours (and now Jev) can't answer basic logic that a 12yo can solve. A ball is under cup A. Swap cups A and B. Swap cups B and C. Swap cups A and B. Swap cups A and C. Which cup is the ball under? Do you really care about a 200ms answer if it gets basic stuff confidently wrong? Today @levantolabs releases Sage1: – It's multimodal: it can see! – It reasons, but only when needed. So it knows where the cup is :) But there are downsides.