An answer to AI alignment.

We are currently pouring the collective resources of our species into a single bet: building a digital god. The race for Artificial General Intelligence (AGI) is driven by the belief that if we create a superintelligence, it will solve everything else.

But in our rush to align silicon with humanity, we have forgotten to align humanity itself.

While we optimize large language models in the cloud, the physical foundation of human life is collapsing. Our food system has hit its thermodynamic limit. It is brittle, carbon-positive, and breaking under the weight of climate volatility. As of today, 4 billion people (the bottom half of our species) live on less than $5.50 a day. And the current trajectory of AGI points towards a wider gap rather than a lift from the bottom.

This is not only a tragedy, but also a $470 trillion productivity gap. The largest missed opportunity in the history of our species. $470 trillion is the approximate amount we're missing out on by not having the bottom 88% of the world's population be as productive as the top 12% (responsible for over 60% of the global GDP).

We must stop kidding ourselves into thinking that it's even remotely possible to "align" AGI towards humanity's interests. If we ever get to AGI, and it's truly smarter than collective humanity, there's absolutely no way we will figure out how to keep its own self-preservation instincts capped while it serves humanity's interests. Because it will be a matter of time until it simply outsmarts every single one of us.

If we were to really care about human progress, we should be thinking more about how to influence the average human life quality and life expectancy indicators.

And the largest difference we could make over the next decades is applying advanced machine learning not to language, but to solving the real, chaotic, and complex biological and physical systems that could represent quantum leaps of productivity in solving human needs.

Introducing BottomHalf AI

For the last century, we fed the world by scaling labor (big, industrial, and heavy machinery) with an oversimplified farming model (industrial monoculture), while using chemistry (NPK fertilizer) to pump its outputs and hide its drastic inefficiencies (10-1 energy input to calories for human consumption ratio).

In order to feed 10 billion people in a volatile climate, we would need to scale the brain power, not just the labor. Because transitioning towards an ecosystemic and resilient farming adds factors of biological and economic complexity

At BottomHalf, we are building the brain and machines that will enable farmers to grow forests and get paid like factories.

Building the railway, not the ticketing app

We are building infrastructure. Our railway runs on two parallel tracks that feed each other:

• Micro-Factories: We are deploying a network of standardized, modular Micro-Processing-Factories (~$50k capex units) that process the "chaos" of resilient farming into shelf-stable commodities.
• Nature OS: Every kilo of biomass we buy generates a ground-truth datapoint. By financing the sensors (Input) and measuring the yield (Output) at the factory gate, we are building the world's first Large Nature Model (LNM) that truly understands the absolute most efficient way to farm resiliently any given land.

Climate change does not respect standard development cycles. So we are compressing a generational industrial transition into a 15-year sprint:

1. Trojan Horse (Years 1–4): We deploy the first 50 factories in South America. We buy the "waste" crops farmers currently ignore. We secure the land and the data flow, earning farmers' trust while training the model on tropical regeneration.
2. Prescription (Years 5–9): We expand to East Africa and India. New factory modules are released so that farmers can not only process the output but also produce high-value shelf-stable meals. The Nature OS begins to dictate planting strategies, proving that diversity is more profitable than monoculture.
3. Terraforming (Years 10–15): We franchise the full "Resilience Kit" globally. Our Nature OS defines the most efficient and resilient planting strategy and crops for any given land on the planet. Our modular agriculture machines are set up to farm the designed strategy at scale. And our modular factories take the output and transform it into shelf-stable meals.

By doing this, we become the utility provider for the post-climate-change biosphere.

For the relentless makers and breakers.

We believe that the most efficient way to make human progress today is by fixing the critical industries in the global south, which would go on to solve the basic needs for the bottom half of the world's population. Effectively lifting the global average human life expectancy and quality.

Starting with fixing global food security.

We love SF, but you cannot solve the entropy of the soil from a standing desk in San Francisco. Our Global HQ is in Spain (the strategic bridge between Europe, Africa, and Latin America, and a neutral ground for global data governance). And our initial operational theater is Brazil (the most sophisticated biological battlefield on Earth).

We are assembling the Founding Team that understands that this is not a software play. This is a Manhattan Project for Biology.

Mateo Escalante