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한국어(KO) Lila Sciences (@LilaSciences) Periodic Labs의 Andrew L. Beam CTO와 Rafa Gomez Bombarelli 물리과학 CSO가 인터넷 학습 데이터의 고갈 이후, 과학 실험·시뮬레이션·물리 세계 데이터가 다음 ‘인터넷 규모’ AI 학습 데이터

Periodic Labs execs: Scientific data to power next-gen AI training

By PulseAugur Editorial · [1 sources] ·

Lila Sciences' CTO Andrew L. Beam and CSO Rafa Gomez Bombarelli suggest that scientific data from experiments, simulations, and the physical world could become the next large-scale dataset for AI training, following the depletion of internet-based data. This perspective highlights the growing importance of AI agents and laboratory infrastructure for automating scientific research. AI

IMPACT Suggests a shift in AI training data sources, potentially driving demand for scientific simulation and experimental data infrastructure.

RANK_REASON The item discusses a perspective on future AI training data, not a direct release or event.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Periodic Labs execs: Scientific data to power next-gen AI training

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The item discusses a perspective on future AI training data, not a direct release or event.
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 한국어(KO) · [email protected] ·

    Andrew L. Beam, CTO of Periodic Labs at Lila Sciences (@LilaSciences), and Rafa Gomez Bombarelli, CSO of Physical Sciences, discuss how scientific experiment, simulation, and real-world physics data will be the next 'internet-scale' AI training data after the depletion of internet learning data.

    Lila Sciences (@LilaSciences) Periodic Labs의 Andrew L. Beam CTO와 Rafa Gomez Bombarelli 물리과학 CSO가 인터넷 학습 데이터의 고갈 이후, 과학 실험·시뮬레이션·물리 세계 데이터가 다음 ‘인터넷 규모’ AI 학습 데이터셋이 될 수 있다는 관점을 공유한다. 과학 연구를 자동화하는 AI 에이전트와 실험실 인프라의 중요성을 시사한다. https:// x.com/LilaSciences/status/2077 773402501513438 #…

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