AI models are not conscious. A CEO or leader who seriously claims that current systems are conscious is either profoundly confused about the technology or engaged in deliberate misrepresentation, and is unfit for authority over AI development or deployment. Current models are large statistical systems trained to predict tokens. They have no evidence of subjective experience, unified agency, persistent self-models independent of the prompt, or any of the functional markers that would be required even on generous functionalist accounts of consciousness. Anthropomorphic outputs are produced because the training data is full of human self-description; that is imitation, not evidence of an inner life. Treating such claims as a reason for removal from power is therefore not a medical diagnosis. It is a judgment about competence and incentives. Leaders who assert consciousness in present systems either do not understand what they are shipping, or they benefit from the confusion—through valuation narratives, regulatory positioning, or public relations. In either case they are poor stewards of a technology whose real risks (capability, misuse, concentration of power) are already concrete and do not require speculative inner experience to matter.

Half a million downloads in a month. Today, our open source family takes another step forward. Thank you for the incredible support behind our first-generation models. We’re excited to introduce TwIL-LM3-Pro. At just 3.6 billion parameters, it brings powerful reasoning to everyday computers, with quantized builds that run locally. No cloud required. In our evaluation: Formal logic: Highest recorded headline score among the small models compared—beating China’s VibeThinker-3B by 35% and Qwen3.5-4B by 24%, and Liquid AI’s LFM2.5-8B-A1B by 47%. Broader reasoning: 95% on SVAMP and 64.1% on MuSR, the highest recorded scores among the small models compared. BIG-Bench Hard’s logic subset: 95.4%, compared with VibeThinker-3B’s 61.1%. We believe AI is entering a post-training era. The advantage will increasingly belong to companies with the best pipelines and those that can produce capable, personalized intelligence faster and more efficiently, then put it on devices people already own. That’s what we’re building at webAI. And we’re only beginning to share what’s coming out of our lab. Coming soon: Meridian, our family of frontier-class models built to run on device. Our most advanced models will be available through the @thewebAI application. Join the waitlist as we expand access. Proudly built in Austin, Texas. 🇺🇸

I think the answer is not to slow down. It’s to invest in approaches our adversaries cannot easily replicate and cannot fully embrace without changing how they exercise power. The frontier labs have built a paradigm around increasingly powerful centralized models and enormous concentrations of compute. My concern is that we’ve defined the competition around a playbook our adversaries can follow, rather than an advantage they will struggle to reproduce. At @thewebAI we’ve been working toward a civilization of intelligence: distributed, specialized intelligence grounded in the specific, tacit knowledge of people, teams, and institutions. Our Intelligence Delivery Network is part of what connects that intelligence without requiring all knowledge and control to be centralized. The distinction is not just distributing compute. It’s distributing the ability to understand, decide, and act. Our strength is trusting people throughout the chain of command to exercise judgment not simply follow instructions. That principle of trust and decentralized execution is already foundational to our military doctrine. We should build intelligence that amplifies it. Our bet is that this creates a fundamental dilemma for adversaries whose power depends on centralized control. They can pursue the same technology. But realizing its full value means empowering people and institutions to act without every decision flowing through the center. That is much harder to replicate than a model. Copying the technology does not recreate the accumulated knowledge, relationships, and trust that make the system valuable. We should not slow down to preserve a lead in a paradigm others can copy. We should invest in one that turns our greatest strengths into an enduring advantage.

@thewebAI is up.

The most valuable AI company won’t be built around a single model. It will be built around the system that can create the next thousand. The physical world won’t run on one giant model in the cloud. It will run on small, specialized models deployed everywhere. At @thewebAI, that system is now producing N expert reasoning models every week and accelerating. Meridian is next.