Access philosophy · The wider promise
The same standard.Wider access.
We want capable, responsible AI to reach students and communities whose opportunities are constrained by income, geography, hardware, or reliable internet access.
Access may change how the service is delivered. It should never diminish the care, quality, or dignity of the experience.
THE LONG-TERM ACCESS GOALPOCKET LLM
LOCAL LEARNING NODECompact language modelOn a suitable device or shared community server
01Learning resources02Safety boundaries03Periodic updates
Our north star
Access is part of responsible AI—not an afterthought.
“Out of many” describes more than the independent models in an EX MULTIS review. It points toward a future in which more people can participate in the knowledge those systems help unlock.
A learner should not receive a lesser standard of care because a family cannot afford another subscription or a community cannot depend on an always-on connection. Access may be capped and compute may be smaller, but limits, uncertainty, evidence, and human responsibility should remain visible.
Pocket LLM · Explained
A useful AI resource that can stay close to the learner.
“Pocket” describes portability and local availability. It does not mean every future model must literally run on a phone.
A compact, locally runnable language model packaged for learning.
The goal is a downloadable system that can run on suitable personal hardware or a shared school, library, or community server. Once installed, core assistance could remain available without sending every question to a distant cloud service or requiring a continuous high-speed connection.
- A compact model selected for the available hardware
- Locally stored educational and reference materials
- Clear limits, age-appropriate safeguards, and educator controls
- Practical model, content, and security updates
- Not a claim that a small model equals the strongest cloud model
- Not automatically accurate, unbiased, safe, or current
- Not a substitute for teachers, librarians, counselors, or experts
- Not yet a generally available EX MULTIS product
Why open technology matters
Use open foundations to make local access economically possible.
Recurring cloud inference can make broad, sustained access difficult to fund. EX MULTIS intends to evaluate open-source software and openly licensed or open-weight models where their licenses, capabilities, and safety characteristics fit the program.
Local operation can reduce recurring provider charges, make limited connectivity more workable, extend the useful life of existing hardware, and allow partners to inspect and improve more of the system.
One purpose · Several paths
Meet different barriers with different forms of access.
Capped learner access
A free or sponsored cloud allowance for eligible students, with clear monthly limits, appropriate model routes, and no automatic overages.
Community access
Programs shaped with rural school districts, community colleges, libraries, and local organizations instead of imposed from a distance.
Pocket access
A longer-term downloadable or locally hosted option for places where dependable broadband and recurring cloud costs are the central barriers.
The access compact
Paid access can help widen access.
We are exploring a durable structure in which a defined portion of paid EX MULTIS revenue, together with partner support, funds capped learner access and future Pocket LLM work.
A variable-cost AI service cannot responsibly promise a one-for-one donation before the economics are proven. We intend to publish the mechanism, eligibility approach, and measurable results when the program is ready.
See EX MULTIS pricing →Partnership, not parachuting
Build with communities and the people already serving them.
Software alone will not close an access gap. The program must combine local knowledge, appropriate hardware, educator support, sustainable funding, and technology that can be maintained after a pilot ends.
Schools + community anchors
Rural ISDs, community colleges, libraries, tribal and community organizations can identify the real constraints, steward access, and define responsible educational use.
Open technology community
Open-source developers, universities, model builders, and evaluators can help make local models smaller, safer, more useful, and easier to maintain.
Infrastructure partners
Device makers, refurbishers, broadband organizations, and local technology providers can help match software to the hardware and connectivity communities actually have.
Sponsors + funders
Customers, foundations, employers, and civic partners can help fund learner credits, equipment, training, updates, and measurable pilots.
From philosophy to program
Earn the promise in measurable stages.
- NowListen and design
Work with students, educators, districts, libraries, and technical partners to define needs, safeguards, eligibility, and useful measures.
- NextPilot capped access
Test sponsored cloud credits with firm limits and institution-led eligibility, then report participation, costs, and lessons without exposing student information.
- DevelopEvaluate the Pocket route
Test open technologies on realistic community hardware, measure usefulness and limitations, and establish a maintainable update path.
- GrowPublish a durable commitment
When the economics and partnerships are proven, define the funding mechanism and report what it actually delivers.
Help shape the access compact
Bring the community knowledge. We will bring the platform—and listen first.
We welcome conversations with rural school districts, community colleges, libraries, open-source contributors, researchers, device partners, foundations, employers, and other organizations working to expand responsible access.