The year 2023 has been a defining moment for artificial intelligence (AI), witnessing its permeation into the mainstream. This article explores the pivotal trends that have emerged throughout the year, setting the stage for what is anticipated to be an even more transformative year in 2024.
In a world transformed by AI, the process of creating software would become profoundly more accessible. Amjad Masad envisions people conversing with AI assistants, brainstorming, and strategizing in real-time.
The episode delved into the potential impact of AI on the economy, the excitement around technology trends, and the anticipation surrounding the approval of a Bitcoin ETF.
Guillaume Verdon, a physicist, applied mathematician, and quantum machine learning researcher, has been revealed as the man behind the previously anonymous account Based Beth Jezos, the creator of the Effective Accelerationism movement (e/acc).
Different language models have different capabilities, and different approaches yield very different results. Understanding the limitations and how these models are trained will be increasingly important, especially as it comes time to navigate which tools to use, when and how.
People talk about “data quality” a lot, which is fundamentally what good training is all about, yes, but rarely does anyone define what quality actually means. If you’re a Bitcoiner, you’re probably familiar with ideas like “subjective value”, and it applies in this case.
If you trust the average ‘AI bro’ on Twitter, you’ll believe that you can just upload a few PDF’s, a couple of books, a podcast or company’s financial report, to “train your own AI”. This is completely false.
There are myths and misconceptions in every industry. The AI space is near the top, due to its potential, and the poorly understood nature of intelligence. People are either over or underestimating things, and simply misconstruing capabilities, every single day.
The year 2023 has been a defining moment for artificial intelligence (AI), witnessing its permeation into the mainstream. This article explores the pivotal trends that have emerged throughout the year, setting the stage for what is anticipated to be an even more transformative year in 2024.
In a world transformed by AI, the process of creating software would become profoundly more accessible. Amjad Masad envisions people conversing with AI assistants, brainstorming, and strategizing in real-time.
The episode delved into the potential impact of AI on the economy, the excitement around technology trends, and the anticipation surrounding the approval of a Bitcoin ETF.
Guillaume Verdon, a physicist, applied mathematician, and quantum machine learning researcher, has been revealed as the man behind the previously anonymous account Based Beth Jezos, the creator of the Effective Accelerationism movement (e/acc).
Different language models have different capabilities, and different approaches yield very different results. Understanding the limitations and how these models are trained will be increasingly important, especially as it comes time to navigate which tools to use, when and how.
People talk about “data quality” a lot, which is fundamentally what good training is all about, yes, but rarely does anyone define what quality actually means. If you’re a Bitcoiner, you’re probably familiar with ideas like “subjective value”, and it applies in this case.
If you trust the average ‘AI bro’ on Twitter, you’ll believe that you can just upload a few PDF’s, a couple of books, a podcast or company’s financial report, to “train your own AI”. This is completely false.
There are myths and misconceptions in every industry. The AI space is near the top, due to its potential, and the poorly understood nature of intelligence. People are either over or underestimating things, and simply misconstruing capabilities, every single day.
Midjourney Version 6 represents a significant leap forward in AI-driven image generation. Although in its Alpha stage, the improvements in realism and accuracy are substantial.
In a controversial move, the Biden administration aims to tighten its grip on artificial intelligence, raising alarms over potential censorship, financial system vulnerabilities, and the redirection of investment funds for political agendas.
Language models have become increasingly sophisticated, with companies and researchers striving to create the most efficient and capable AI for natural language processing tasks.
In this article, we delve into the foundational ideas behind Bitcoin as envisioned by its creator, Satoshi Nakamoto, and explore the implications of a Bitcoin-powered internet, from the perspective of Unchained co-founder Dhruv Bansal.
Aleks Svetski joins the show to discuss the work he's been doing on Spirit of Satoshi, how AI models actually work based on his experience building one and whether or not AGI is an existential threat.
Tether is making a lot of money by speculative attacking the US government.
