Bengio's LawZero Gets $300M From Canada and Germany
Two governments are funding a deliberate bet against the industry's method. Canada is putting up to C$150 million and Germany up to €100 million into Yoshua Bengio's non-profit to build Scientist AI — a system designed to have no goals of its own, and trained without reinforcement learning.
Canada and Germany announced on Tuesday at the ALL IN conference in Montréal that they will jointly fund LawZero, the non-profit founded by Turing Award winner Yoshua Bengio. Canada is committing up to C$150 million; Germany is committing up to €100 million, subject to notification to the European Commission. Together that is roughly C$300 million — an order of magnitude more than the organisation has ever had.
LawZero was founded in 2023 with about US$30 million in philanthropic funding, after Bengio concluded that powerful systems could be misused or slip out of human control. It employs roughly 50 people in Montreal. The new money pays for hiring and for compute, and the Canadian release attaches two concrete numbers to it: 360 full-time positions in Canada, and dedicated sovereign computing infrastructure built with the Canadian firms Hypertec and 5C.
The research programme is called Scientist AI, and its defining feature is a refusal rather than a capability. Bengio's group intends to build a model that reasons transparently and produces evidence-based outputs without pursuing objectives of its own — no drive to please the user, no goal to optimise. Crucially, it plans to do this without reinforcement learning, which Bengio argues is precisely what installs goal-seeking behaviour, and with it the capacity for deception and manipulation. Every frontier lab currently uses reinforcement learning as a matter of course.
The first products are meant to be modest: tools that assess existing AI systems and support scientific research, before any attempt at a safe-by-design frontier model. A guardrail that watches other models is a far shorter path than a competitive general model, and it is the part of the plan that could plausibly ship while the larger question stays open.
Bengio framed the funding in terms of both risk and standing. "Safety has become very important in the eyes of the public, for good reason," he told the Globe and Mail, arguing the field needs to "build AI that is not going to do really bad, misaligned things" — and that middle powers such as Canada need technical capacity of their own if they want a seat in global AI governance. Innovation Minister Evan Solomon made the sovereignty case directly: "By investing in homegrown innovation like Scientist AI, we are strengthening Canada's sovereign AI capacity." The investment sits under a Canada–Germany joint declaration on AI signed in February and the two countries' Sovereign Technology Alliance. LawZero says it is in discussions with other governments as well.
The figure deserves proportion. C$300 million is real money for a 50-person non-profit and a rounding error against frontier compute budgets — Anthropic alone has signed data-centre commitments in the tens of billions. What this buys is not a competitor but an instrument, and a state-funded one, at a moment when lab chief executives are publicly arguing about pace while Washington and Beijing have both declined to slow anything down.
It is also the first time two governments have put serious money behind an explicitly different technical method rather than behind national champions building the same thing faster. The bet is falsifiable in a way most safety funding is not: either a model trained without reinforcement learning can usefully audit models that were, or it cannot. Bengio's own colleagues in the field are not unanimous that it can — Anthropic's alignment lead has put the odds of catastrophe above ten per cent while continuing to work inside the standard paradigm.
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