The effort to give robots AI brains is revealing big practical challenges—and bigger ethical concerns.
Artificial intelligence startup Symbolica AI launched today with an original approach to building generative AI models.
The company is aiming to tackle the expensive mechanisms behind training and deploying large language models such as OpenAI’s ChatGPT that are based on Transformer architecture.
Alongside that news, it also revealed today that it has raised $33 million in total funding combined from a Series A and seed funding round led by Khosla Ventures. Other investors included Day One Ventures, Abstract Ventures Buckley Ventures and General Catalyst.
Fascinating vision/plan by the one and only Sam Altman of how to update our economic systems to benefit everyone in the context of rapidly accelerating technological change.
My work at OpenAI reminds me every day about the magnitude of the socioeconomic change that is coming sooner than most people believe. Software that can think and learn will do more and more of the work that people now do. Even more power will shift from labor to capital. If public policy doesn’t adapt accordingly, most people will end up worse off than they are today.
We need to design a system that embraces this technological future and taxes the assets that will make up most of the value in that world–companies and land–in order to fairly distribute some of the coming wealth. Doing so can make the society of the future much less divisive and enable everyone to participate in its gains.
When it comes to achieving success, Huang knows more than most. In 1993, he co-founded computer chip company Nvidia, where he’s served as CEO for more than three decades. The company’s success turned Huang into a billionaire. Now, with Nvidia’s chips in high demand for building AI software, it’s become one of the world’s most valuable companies with a valuation north of $2 trillion.
Huang himself is one of the world’s wealthiest individuals, with an estimated net worth of $77.6 billion, according to Bloomberg.
From opennlplab, shanghai #AI lab, & MIT CSAIL
HGRN2
Gated Linear RNNs with State Expansion.
Continue reading “HGRN2: Gated Linear RNNs with State Expansion” »
Neuroprosthetics, a technology that allows the brain to control external devices such as robotic limbs, is beginning to emerge as a viable option for patients disabled by amputation or neurological conditions such as stroke.
META, a leading technology company at the forefront of innovation, has unveiled its next-generation custom silicon chip.
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Generative AI is quite impressive and has been the common denominator (in most cases) when tapping into new opportunities and unlocking new heights in the tech landscape. Microsoft has significantly benefited from the technology and is currently ranking as the world’s most valuable company, ahead of Apple with over $3 trillion in market capitalization. Market analysts attribute part of this success to its early investment and adoption of AI across its products and services.
Still, AI encounters its fair share of setbacks coupled with controversies and rumors. Perhaps one of the main challenges facing the technology is the lack of elaborate measures and guardrails to prevent it from spiraling out of control.
While relevant parties continue to try to establish control over the technology, billionaire Elon Musk predicts AI will be more intelligent than humans by the end of 2026 (via Business Insider). Musk shared these sentiments in an interview with Norges Bank CEO Nicolai Tangen on X (formerly Twitter).
