FutureHouse releases AI tools it claims can accelerate science

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LiverAn Eric Schmidt, which aims to build a “AI scientist” for the next decade, launched a non-profit non-profit, the first basic product: a platform and API that is designed to support scientific works.

Lots, many start Races to develop AI research for the scientific domain, some are by financing behind their backs. Tech giants also appear in the AI ​​in AI for science. He presented Google earlier this year “AI counterparts“EU’s company said he could help scientists in creating assumptions and experimental research plans.

Peos of AI companies are Openai and anthropic confirmed This can accelerate AI tools, especially the scientific discovery medicine. However, many researchers do not consider AI especially useful today To lead the scientific processThe reason for this is in a big part collapse.

Four EU tools for future in Thursday: Crow, hawk, owls and phofs. Crow can look for scientific literature and answer questions about it; Sahin can search for more depth literature, including scientific databases; Owl, looking for previous job in a topic area in advance; and Phoenix uses tools to plan their chemistry experiences.

“The other is different [AIs]The future has access to a large corps of high-quality opening documents and specialized scientific tools ” writes The future home in a blog post. “They are [also] Own transparent thoughts and use a multi-stage process to consider each resource deeper […] Them with chains [AI]Together, scientists can accelerate the pace of scientific discovery. “

However, with the means of intention to make a future scientific progress, or a Roman with AI instruments.

Part of the problem in the development of the “AI scientist” is to expect an unusual number of perplexing factors. AI can occur in areas where there is a wide exploration in the regions, where there is a list of wide opportunities. However, it is less clear whether the AI ​​is capable of the type of out-of -ered problems, which causes bonafide progress.

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To date, the results of the AI ​​systems designed for science have been mainly died. In 2023, Google said there were about 40 new items synthesis It is called Gnome with the help of one of AIS. Even an analyzed analysis None of the items, in fact, the net was new.

Risks such as technical shortcomings and trends of AI set a managementBe careful not to confirm scientists for serious work. Even well-designed studies can end with the staining of AI against AI, which is fighting for the implementation of high-precision.

Indeed, future home, AI tools – especially the phoenix acknowledgment.

“We are free [this] Now in the spirit of fast iteration, the company is written in his blog entries. ” Please give feedback as you use it. “



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