Artificial intelligence (AI) is one of the most powerful technologies of our time, and the
President has been clear that we must seize the opportunities AI presents while managing its
risks. Consistent with the AI in Government Act of 2020, the Advancing American AI Act,
and Executive Order 14110 on the Safe, Secure, and Trustworthy Development and Use of Artificial
Intelligence, this memorandum directs agencies to advance AI governance and innovation while
managing risks from the use of AI in the Federal Government, particularly those affecting the
rights and safety of the public. — Read More
Monthly Archives: March 2024
OpenAI Heading To Hollywood To Pitch Revolutionary “Sora”
Some of the most important meetings in Hollywood history will take place in the coming week, as OpenAI hits Hollywood to show the potential of its “Sora” software to studios, talent agencies, and media executives.
Bloomberg is reporting that OpenAI wants more filmmakers to become familiar with Sora, the text-to-video generator that potentially could upend the way movies are made.
Producer Tyler Perry has already seen it in action, and was so impressed that he put on hold plans for an $800 million studio expansion in his Atlanta base. — Read More
Forget OpenAI’s ChatGPT, Hume AI’s Empathetic Voice Interface (EVI) Might Be the Next Big Thing in AI!
Hume AI has introduced a conversational AI named Empathic Voice Interface (EVI), with emotional intelligence. EVI sets itself apart by comprehending the user’s tone of voice, adding depth to every interaction and tailoring its responses accordingly.
Interestingly, it almost feels like you are talking to a human.
Click here to check it out for yourself. — Read More
AI-washing: What it is, and how to spot it?
A great deal of innovation has happened since AI exploded into the mainstream with the advent of ChatGPT. However, the AI boom has not come without its own inopportune side effects. One such side effect has been companies selling false promises and vaporware in the name of AI—a trend called “AI-washing”.
AI-washing can be explained by looking at its predecessor, “greenwashing”. This is when an organization gives misleading information about whether its product, services, supply chain or practices are ethically and environmentally sound. Greenwashing has become a known red flag to look out for, among consumers and enterprises alike. AI-washing, by comparison, is far newer and so is currently harder to spot. But there are a few things buyers can look out for along their AI investment journey. — Read More
Databricks launches DBRX, challenging Big Tech in the open source AI race
Databricks, a fast-growing enterprise software company, announced today the release of DBRX, a new open source artificial intelligence model that the company claims sets a new standard for open source AI efficiency and performance.
The model, which contains 132 billion parameters, outperforms leading open source alternatives like Llama 2-70B and Mixtral on key benchmarks measuring language understanding, programming ability, and math skills. — Read More
How AI could explode the economy
And how it could fizzle.
Artificial intelligence is already making people rich. Jensen Huang, the co-founder and CEO of chip company Nvidia, which controls 80 percent of the data-center AI chip market, has seen his net worth explode from a mere $4 billion five years ago to a staggering $83.1 billion as of March 24 on the back of bottomless demand for his company’s product.
ChatGPT maker OpenAI is reportedly valued at $86 billion, with rivals Anthropic and Inflection at $15 billion and $4 billion as of their most recent funding rounds. While OpenAI CEO Sam Altman says he owns no shares in the company, it’s possible, even likely, that other AI founders and execs have joined the three commas club by now, at least on paper.
But some researchers think this is only the beginning — that AI won’t just make a few techies wildly rich, the way social networking, smartphones, and personal computers did before. Believers in a growth explosion argue that AI is set to make society much, much richer by causing economic growth at a scale it has never experienced before. — Read More
Facebook Is Filled With AI-Generated Garbage—and Older Adults Are Being Tricked
As AI-generated content proliferates online and clutters social media feeds, you may have noticed more images cropping up that invoke the uncanny valley effect—relatively normal scenes that also carry surreal details like excess fingers or gibberish words.
Among these misleading posts, young users have spotted some obviously faux images (for example, skiing dogs and toddlers, baffling “hand-carved” ice sculptures and massive crocheted cats). But AI-made art isn’t evident to everyone: It seems that older users—generally those in Generation X and above—are falling for these visuals en masse on social media. It’s not just evidenced by TikTok videos and a cursory glance at your mom’s Facebook activity either—there’s data behind it.
This platform has become increasingly popular with seniors to find entertainment and companionship as younger users have departed for flashier apps like TikTok and Instagram. Recently, Facebook’s algorithm seems to be pushing wacky AI images on users’ feeds to sell products and amass followings, according to a preprint paper announced on March 18 from researchers at Stanford University and Georgetown University. — Read More
Read the Paper
Inflection’s implosion and ChatGPT’s stall reveal AI’s consumer problem
Last year, Garry Tan, one of the most successful tech investors in Silicon Valley, questioned the business case for consumer-facing AI technology like ChatGPT.
… Less than a year later, his concerns are coming true.
This week, startup Inflection AI partially imploded. The startup’s two main founders decamped to Microsoft, taking a sizable team with them. — Read More
Large Language Models’ Emergent Abilities Are a Mirage
Two years ago, in a project called the Beyond the Imitation Game benchmark, or BIG-bench, 450 researchers compiled a list of 204 tasks designed to test the capabilities of large language models, which power chatbots like ChatGPT. On most tasks, performance improved predictably and smoothly as the models scaled up—the larger the model, the better it got. But with other tasks, the jump in ability wasn’t smooth. The performance remained near zero for a while, then performance jumped. Other studies found similar leaps in ability.
The authors described this as “breakthrough” behavior; other researchers have likened it to a phase transition in physics, like when liquid water freezes into ice. In a paper published in August 2022, researchers noted that these behaviors are not only surprising but unpredictable, and that they should inform the evolving conversations around AI safety, potential, and risk. They called the abilities “emergent,” a word that describes collective behaviors that only appear once a system reaches a high level of complexity. — Read More
The Global AI Talent Tracker 2.0
Since launching our talent tracker in 2020, artificial intelligence (AI) has taken the world by storm. Ostensible breakthroughs in large language models and machine learning methods, as well as staggering improvements in compute capabilities, have made the power and potential of AI demonstrably clear.
While companies and institutions are racing to monetize the power of AI, the prospect of its full potential is also giving pause to governments around the world. Much uncertainty centers on how to balance AI’s power to solve a range of economic and social problems with curtailing the downsides of its potential.
But what’s certain is that a large chunk of the tech world’s capital and talent will be deployed toward bringing AI applications to the real world. If anything, the competition among countries in this arena will be fiercer than ever—and much of that competition will be over the indispensable input of an AI ecosystem: talent. — Read More
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