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Image Credits:Tetsuwan Scientific

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Tetsuwan Scientific founders Cristian Ponce, Théo Schäfer

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Tetsuwan Scientific robotic AI scientist

Tetsuwan Scientific’s robotic AI scientist looks more like a glass cube.Image Credits:Tetsuwan Scientific

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Cristian Ponce was wearing an Indiana Jones costume when he meet his co - laminitis Théo Schäfer . It was at a Halloween company in 2023 thrown by Entrepreneur First , a inauguration program that introduces father to one another before they launch an mind .

The two hit it off , Ponce remembers . Schäfer had meditate at MIT with a master ’s in underwater independent robots and work at NASA ’s Jet Propulsion Lab search Jupiter ’s moons for foreign sprightliness . “ Crazy stuff , ” Ponce said , grin . “ I was coming from Cal Tech , doing bioengineering , ” where he work on E. coli .

The two bind over story about the grind of being a lab technician . Ponce ( see above leftfield ) especially complained about all the manual labor involved in familial engineering . The petty science laboratory tech can expend hours with a scientific syringe “ pipette , ” manually moving liquid from thermionic tube to tube .

attempt to automatise the process have not taken off because the robots capable of doing it are specialized , expensive , and ask exceptional programming attainment . Every time the scientist need to change an experimentation ’s parameters — which is all the sentence — they ’d have to wait for the software engineer to program the bot , debug it , and so on . In most cases , it ’s easier , cheaper , and more precise to practice a human .

The company they founded , Tetsuwan Scientific , limit out to treat this problem by modifying lower - cost whitened label lab robots .

But then in May 2024 , the co - founders were see OpenAI ’s multi - model product launching ( the one thatticked off Scarlett Johanssonwith a sound - alike voice ) . OpenAI showed people talk to the model .

It was the miss link Tetsuwan Scientific take . “ We ’re look at like this demented breakneck progress of prominent spoken communication modelling right before our eyes , their scientific reasoning potentiality , ” Ponce said .

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After the demonstration , Ponce fire up GPT-4 and showed it an image of a DNA colloidal gel . Not only did the manakin successfully interpret what the paradigm was , but it in reality also identified a problem — an unintended desoxyribonucleic acid fragment lie with as a “ primer dimer . ” It then offered a very detailed scientific suggestion on what caused it and how to alter the conditions to prevent it .

It was a “ faint incandescent lamp moment , ” Ponce described , where LLM models were already capable of diagnosing scientific output but had “ no physical bureau to actually perform the suggestions that they ’re making . ”

The co - founders were not alone in exploring AI ’s usance in scientific discovery . Robotic AI scientists can be trace back to1999 with Ross King ’s robots “ Adam ” and “ Eve,”butreally kickedoffwith a seriesofacademic papersstarting in 2023 .

But the trouble , Tetsuwan ’s research showed , was that no computer software existed that “ interpret ” scientific intent — what the experimentation is look for — into machinelike slaying . For instance , the robot has no way to understand the physical qualities of the liquids it is pipetting .

“ That automaton does n’t have the context to have it off . peradventure it ’s a viscous liquid . Maybe it   … is going to crystallize . So we have to recount it , ” he said . Audio LLMs , with hallucinations tamped down by RAG , can work with thing “ that are hard to code . ”

Tetsuwan Scientific ’s robots are not humanoid . As the photo shows , they are a square glass construction . But they are being progress to evaluate issue and make modifications on their own , just like a human would do . This necessitate building software system and sensors so the robots can empathise thing like calibration , melted class characterization , and other properties .

Ponce ’s eye light up when he talks about the ultimate name and address of this work : sovereign AI scientist that can be used to automate the whole scientific method , from hypothesis through repeatable termination .

“ It is the craziest affair that we could perhaps solve on . Any technology that automates the scientific method , it is the catalyst to inflated growth , ” he says .

He ’s not the only one to conceive this direction . Others working on AI scientists include non - profit orgFutureHouseand Seattle - basedPotato AI .