Not all generative AI models are created equal, particularly when it comes to how they treat polarizing subject matter.
They found that the models tended to answer questions inconsistently, which reflects biases embedded in the data used to train the models, they say.
“Our research shows significant variation in the values conveyed by model responses, depending on culture and language.”Text-analyzing models, like all generative AI models, are statistical probability machines.
Instrumental to an AI model’s training data are annotations, or labels that enable the model to associate specific concepts with specific data (e.g.
Other studies have examined the deeply ingrained political, racial, ethnic, gender and ableist biases in generative AI models — many of which cut across languages, countries and dialects.
Scores of accelerator programs run every year with the aim of identifying and cultivating founders in the earliest stages of building a company.
Only a fraction seek out founders who are explicitly aligned with some set of values — let alone classically conservative values like family, patriotism and faith.
Discipulus Ventures, which kicked off its first 10-person cohort yesterday, is a singular exception.
“You can’t say what matters, you can’t say what you think is true, and that’s obviously not going to be good if you want to solve these problems,” he said.
The city’s reputation has grown in recent months as a breeding ground for a new type of hard tech founder, one very much like the type Discipulus is trying to attract.
Scores of accelerator programs run every year with the aim of identifying and cultivating founders in the earliest stages of building a company.
Only a fraction seek out founders who are explicitly aligned with some set of values — let alone classically conservative values like family, patriotism and faith.
Discipulus Ventures, which kicked off its first 10-person cohort yesterday, is a singular exception.
“You can’t say what matters, you can’t say what you think is true, and that’s obviously not going to be good if you want to solve these problems,” he said.
The city’s reputation has grown in recent months as a breeding ground for a new type of hard tech founder, one very much like the type Discipulus is trying to attract.
Sarah Kreps is a political scientist, U.S. Air Force veteran and analyst who focuses on U.S. foreign and defense policy.
She’s a professor of government at Cornell University, adjunct professor of law at Cornell Law School and an adjunct scholar at West Point’s Modern War Institute.
Kreps’ recent research explores both the potential and risks of AI tech such as OpenAI’s GPT-4, specifically in the political sphere.
In an opinion column for The Guardian last year, she wrote that, as more money pours into AI, the AI arms race not just across companies but countries will intensify — while the AI policy challenge will become harder.
Developing AI in these publicly interested way seemed like a valuable contribution and interesting interdisciplinary work for political scientists and computer scientists.
Baron Capital, an investor in Indian food delivery startup Swiggy, has increased the value of its stake in the Indian firm, implying a valuation of $12.16 billion, surpassing the $10.7 billion post-money valuation at which Swiggy secured funding in early 2022.
The valuation uptick at the end of December is a noteworthy development for Swiggy and, more broadly, the Indian startup ecosystem.
This is particularly significant given that Swiggy’s valuation had previously been marked down to a low of $5.5 billion.
Swiggy commands roughly 45% market share in the Indian food delivery sector and is “well positioned to benefit from structural growth in online food delivery in India,” Baron Capital wrote in a separate filing.
Swiggy, which is also a key player in the instant-grocery delivery space in India, is increasingly broadening its offerings.
The following is a compilation of 12 “dos and don’ts” for how innovators should pitch and partner with a new class of technology venture investors who balance market realism with optimism in driving a vision with substance.
Early-stage venture capital requires a team effort to find product-market fit and accelerate revenue growth.
DON’T give upLike many activities in the startup world, success finds those who have grit, courage, persistence, durability, and adaptability.
Venture capital often finds nonconsensus and nonobvious deals, but the process may take hundreds of meetings before the first yes.
Almost every company is better serviced by not raising venture capital and instead relying on profitable growth and other sources of capital.
Taking on meal replacements such as Nutritional Yeast and Soylent, Yfood is looking to build an end-to-end foodtech solution that includes their own line of meal replacement drinks, cooking tools…
