Brainsless Research Lab · Planless · Amman, Jordan
Mohammad Alsufi is the co-founder and CTO of Brainsless Research Lab and Planless. Before that, he built NoNerds, an AI learning platform he exited in 2026 — the technology now runs in front of 2.1 million students. Brainsless Research Lab is an independent group building AI that works reliably beside people over time.
The lab takes its name and its premise from a 1998 argument by the philosophers Andy Clark and David Chalmers: the mind does not stop at the skull. A notebook relied on to remember is memory. A tool relied on to decide is thinking. If intelligence extends into whatever a person reliably thinks with, then an AI working beside someone is part of their cognition, and it has to deserve that position.
The name states the goal: when the integration succeeds, the brain does less, because the thinking is shared.
The lab publishes its work openly as technical reports, and the reports double as the engineering diary of its production systems.
Documents Constraint Routing Failure: over long sessions, AI models remain able to recall their rules yet stop enforcing them, because every token in a conversation competes inside one shared attention budget, and commitments dilute as the context grows. The report measures this failure across frontier and open models, separates it from ordinary forgetting, and proposes Governed Multi-Stream Attention — an architecture that gives behavioral commitments their own attention stream so they cannot be crowded out by conversation.
Reports the Constant-Support Law: a frozen transformer’s next-token prediction depends on a small, constant number of attended keys, independent of how long the context grows, and that number shrinks as models scale. The finding reframes long-context AI as a problem of finding the right information cheaply rather than reading everything, and maps where the law holds and where it breaks.
Both reports are downloadable from brainsless.com.
Neptyn is the lab’s production model: a trillion-parameter sparse Mixture-of-Experts system, built on open foundations and made the lab’s own through its training and attention research. It serves live requests inside Planless, which means the lab’s papers are tested where research is hardest to fake: in production, beside real users, across the long sessions the research is about.
Alsufi incorporated his first company at sixteen, in Dubai, while still in school. At eighteen he rebuilt NoNerds, a Jordanian student platform founded in 2022, into an AI-native learning platform, and he exited in 2026; within a month the technology was operating across Jordan and Iraq, in front of a base of 2.1 million students.
Today he builds Planless with his co-founder and co-author Connor Scott. Founder profile at Planless →
“AI is becoming a cognitive layer for humanity rather than a tool: infrastructure that reshapes how people think, learn, build, and decide.”
He intends to spend his career proving the lab’s premise in the most practical way available: building minds people can actually think with. He works from Amman, Jordan.
Two technical reports through Brainsless Research Lab: “Attention Is Not Enough” (BRL-2026-05, May 2026), on why AI systems lose behavioral commitments over long sessions, and “Attention Has A Type” (BRL-2026-06, June 2026), on the Constant-Support Law of transformer attention.
A failure mode documented in the lab’s first report: in long sessions, a model can still recall its rules but stops enforcing them, because all tokens compete for one shared attention budget and commitments dilute as context grows. It is distinct from forgetting; the information is present, the routing fails.
An attention architecture proposed by the lab. It gives behaviorally distinct token roles — such as rules, persona, and conversation content — independent attention streams, so a model’s commitments hold steady no matter how long a session runs.
A finding from the lab’s second report: a frozen transformer’s exact next-token prediction depends on a small, constant number of attention keys regardless of context length, shrinking with scale toward a floor near sixteen. Long context becomes a finding problem rather than a reading problem.
Neptyn is Brainsless Research Lab’s production model: a large AI system built on open foundations and developed through the lab’s own research. It powers Planless in production.
Brainsless Research Lab is an independent AI research group in Amman, Jordan, co-founded by Mohammad Alsufi and Connor Scott. It studies how AI can work reliably beside people over time, publishes its findings openly, and deploys them through Planless.
Both reports target the trust problem directly. The first shows why AI systems quietly stop enforcing their commitments over long sessions and proposes the architecture that holds them stable. The second shows that correct answers depend on finding a small set of the right information, which is why grounding answers in real material beats reading more of the internet. The lab’s products inherit both results.
That AI is becoming a cognitive layer for humanity rather than a tool: infrastructure that reshapes how people think, learn, build, and decide. His research aims to make that layer trustworthy enough to think with.
He co-founded Brainsless Research Lab and Planless with Connor Scott, who co-authors the lab’s research.