Aplikacja Well Principled do YC

Summer 2019Active

Well Principled przeszedł przez Y Combinator w batchu Summer 2019 jako firma z branży B2B. Poniżej: czym zajmuje się firma, kto ją założył i jej aplikacja do YC, zrekonstruowana pytanie po pytaniu w prawdziwym formularzu YC.

Batch YC: Summer 2019
Branża: B2B
Wielkość zespołu: 3
Status: Active
Wystartowano: 2019

Foundersi

Ryan RichtFounder
Christopher ShaferFounder
Joseph WingbermuehleFounder

Czym zajmuje się Well Principled

We aren’t building AI to replace "knowledge work” that requires neither, but to bolster the working human intellect which has never failed to discover new paths to prosperity. For all their success, mainstream approaches to AI have fundamental limitations preventing them from solving critical classes of problems. We are building a new AI architecture from first principles to break from these limitations. The status quo has ossified around the supervised, brute-force pretraining paradigm. These systems do not, and cannot, handle the essential skills of continual learning, goal discovery, novel planning, and the creation of new knowledge. These limitations are not trivial. Our national prosperity depends directly on overcoming these limitations, because the essential skills underlie the skilled trades. From electricians to machinists to nurses, apprentice tradespeople in all of these fields learn “skilled improvisation” where every solution is novel, and even the goal must be discovered. Prosperity demands the precise capabilities where status quo AI is structurally weak. Worse, these limitations will not be overcome with more compute or training data. They are inescapable consequences of the underlying technologies of supervised learning, neural networks, transformers, backprop, and gradient descent. Progress requires independence from them. We are building a new AI architecture by reverse-engineering the system that got us this far: the human brain. By triangulating between neuroscience, cognitive science, and the evolutionary elaboration of brains, we have identified the brain’s algorithms to (a) continually learn a causal world model (b) select goals to both achieve and learn to achieve more (c) plan to reach novel goals, and (d) creatively produce new knowledge. Join us in building intelligence with ingenuity to bolster the skilled trades.

Aplikacja Well Principled do YC, zrekonstruowana

Aplikacja Y Combinator

Well Principled, batch Summer 2019. Prawdziwe pytania z formularza, odpowiedzi na podstawie danych publicznych.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

Well Principled

Describe what your company does in 50 characters or less.

The neural engine for autonomous robots

What is your company going to make? Please describe your product and what it does or will do.

We are building a new AI architecture modeled on the human brain to enable robots to learn continually, discover goals, plan novel solutions, and create new knowledge. This breaks from current AI methods that rely on supervised learning and large datasets, which fail at tasks requiring skilled improvisation. Our product is intended for autonomous robots that need to operate in complex, dynamic environments like skilled trades - electricians, machinists, nurses - where every problem and goal can be new.

Where do you live now, and where would the company be based after YC?

We live in St. Louis, Missouri, and our company is based here after YC.

Explain your decision regarding location.

We are based in St. Louis because it's home to the founders and provides an environment suited to our small team and focused research. We plan to remain here after YC, taking advantage of the local context and building from our roots.

21 dodatkowych odpowiedzi w pełnej aplikacji

Są w pełnej wersji. Utwórz darmowe konto, aby otworzyć je w YC Insights, obok każdego innego batcha YC.

Zobacz pełną aplikację

Często zadawane pytania

Czy to jest prawdziwa aplikacja Well Principled do YC?

Nie. Y Combinator utrzymuje prywatność złożonych aplikacji. Jest to rekonstrukcja: prawdziwe pytania z formularza YC, na które odpowiedziano na podstawie publicznych danych Well Principled (notatki o premierze, tło founderów, opis produktu). Pokazuje, jak firma taka jak Well Principled przedstawiłaby się YC, a nie tekst, który złożyli.