8legs: Startups

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#1 out of 2

Musk warned that a Turing-related name for OpenAI could invite negative PR and mislead the public.
Altman proposed a Turing-related name in 2015, which Musk deemed potentially ominous for public relations.
The Verge reports the exchange is part of Musk v. Altman court materials and reflects attention to branding decisions.
The article situates OpenAI naming debates within broader AI governance and media scrutiny.
The Verge coverage includes background on OpenAI's litigation and ongoing AI-related reporting.
The story underscores how branding choices intersect with public perception of AI.
The reference notes the origin of the company name discussions dates to 2015.
The piece references a court exhibit and indicates official documentation of the exchange.
The Verge article is part of ongoing coverage of OpenAI and AI industry developments.
The article emphasizes caution in branding to avoid misinterpretations about AI capabilities.

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#2 out of 2

Standard Intelligence pursues general computer agents through raw video pre-training on computer use.
The team built an 11-million-hour computer action dataset, the largest in the industry.
A video encoder is about 50 times more token-efficient, enabling two hours of 30 FPS video in a 1-million-token window.
The team operates a 30-petabyte storage cluster in San Francisco costing under $500K.
FDM-1 is the first foundation model trained on computer-use video at scale.
Founders Galen Mead and Devansh Pandey started out as teenagers and left college to pursue AI safety with urgency.
The company positions itself as an unconventional approach in the AGI race, focusing on video rather than text.
Series A funding for Standard Intelligence is led by investors including Spark Capital's Miko and Yasmin.
The team envisions general models capable of editing tools and software states after brief fine-tuning.

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