Flapping Airplanes: Why Sequoia Bets on Science, Not Wrappers

Let me start by saying that the name Flapping Airplanes is a subtle trolling of the entire modern artificial intelligence industry. If you remember the history of aviation, early inventors tried to build airplanes with flapping wings, literally copying bird movements. It looked logical, but it worked terribly. The real breakthrough in flight came only when people understood the principles of aerodynamics, which turned out to be far more important than external imitation of nature. Today's language models resemble those same "flapping-winged" machines in many ways: they masterfully imitate human speech, but we still don't fully understand how their intelligence is born and where the limits of their usefulness lie.

The launch of the new Flapping Airplanes laboratory with support from Sequoia Capital is not just another line in endless news about venture deals. It's a clear symptom that Silicon Valley has grown tired of endless wrappers around OpenAI's API. Right now, every other startup is trying to sell us another AI assistant for calendar planning or email writing, using the same basic models. But Sequoia's partners seem to have found a new trend: a return to fundamental science. They're investing in a team that doesn't promise to release a product in a month, but plans to rethink the very architecture of neural networks.

Why is this happening right now? The answer lies in what's called the scaling ceiling. For the last few years, the industry has lived by a very simple principle: just add more graphics cards and more data, and the model will become smarter. This worked flawlessly. But now the cost of training new generations of models is measured in billions of dollars, and quality improvements are becoming less and less obvious to the end user. We're approaching the moment when the extensive path of development exhausts itself. We need new ideas, new algorithms, and perhaps a complete abandonment of current transformers in favor of something more efficient and profound.

Flapping Airplanes positions itself as a research-driven company. Translated from venture speak to human language, this means that science is more important to them than marketing and immediate sales. In a world where OpenAI is turning into a giant profit-oriented corporation, and Google is trying to catch up with a departing train, such independent laboratories are a breath of fresh air. They can afford to make mistakes, test crazy hypotheses, and not report to shareholders about the number of active users per month. It's in such environments that technologies are usually born, which in five to ten years we'll take for granted.

It's interesting to watch how quickly the rhetoric of major investors is changing. A year ago, everyone was looking for ChatGPT killers with clear business models and plans for profitability. Today, Sequoia openly says that the biggest profits will come to those who solve fundamental AI problems: hallucinations, the absence of real logical inference, and the monstrous energy consumption of servers. Flapping Airplanes is a bet that the next qualitative leap will be made not by whoever has more servers in their data center, but by whoever figures out how to fly without flapping wings like a bird.

Of course, the risk here is enormous. Fundamental science is always expensive, time-consuming, and often fruitless. Many such projects end in nothing, leaving behind only stacks of beautiful PDF files and disappointed investors. But if the Flapping Airplanes team really finds a way to move away from blindly copying human cognitive processes and discovers that very aerodynamics of intelligence, the rules of the game will change for all players in the market. We'll finally see a transition from statistical parrots to systems that truly understand cause-and-effect relationships and are capable of real discoveries.

The main point: the industry is making a turn back to its roots, where breakthrough ideas are becoming more important than marketing budgets again. Will Flapping Airplanes be able to fly higher than the giants through pure intelligence?