From: mk_thisisit
ChatGPT was made available to the world in November 2022 [00:00:02]. The team at OpenAI, led by Wojtek Zaręba, spearheaded this revolution in 2022 [00:00:19], [00:00:25]. At the time of its release, OpenAI was valued at over 100 billion dollars [00:00:16]. The launch of ChatGPT garnered attention from the biggest press titles worldwide [00:00:29].
Founding of OpenAI
Wojtek Zaręba, a scientist who co-founded OpenAI [00:01:12], [00:01:25], began his career with a meeting involving Elon Musk [00:00:33]. Before OpenAI was founded, Zaręba was studying in New York, pursuing a PhD in artificial intelligence [00:01:43], [00:01:45]. He had published strong publications in the field [00:01:48], [00:01:51].
Zaręba met Greg (likely Greg Brockman, co-founder of OpenAI) in New York, where Greg presented the idea of creating OpenAI [00:01:55], [00:01:57], [00:02:00]. Zaręba was among a group of people with technical skills who were also aware of the potential ramifications of AI technology [00:04:10], [00:04:13], [00:04:14], [00:04:16], [00:04:20]. He wanted to be involved in building this technology to influence its future [00:04:22], [00:04:26], [00:04:28].
Impact and Discussion
The launch of ChatGPT in November 2022 sparked extensive global discussions from diverse perspectives [00:05:03], [00:05:08], [00:05:13]. This dialogue is considered valuable [00:05:18]. Prior to this, artificial intelligence was often discussed abstractly or within the realm of science fiction [00:05:22], [00:05:27], [00:05:30], [00:05:33]. Now, many people are involved in the discussion from various viewpoints [00:05:37], [00:05:39], [00:05:41].
AI Capabilities and Generalization
There is a common misconception that AI is merely statistics [00:05:44], [00:05:48], [00:05:52]. However, models like ChatGPT are able to solve problems requiring reasoning that they have never explicitly seen before [00:06:03], [00:06:05], [00:06:07], [00:06:09]. These models demonstrate generalization, meaning they were trained on specific data but can behave intelligently in new situations [00:06:20], [00:06:23], [00:06:25], [00:06:28]. Unlike some algorithms (e.g., decision trees) that struggle when moving away from training data [00:06:36], [00:06:39], [00:06:43], [00:06:46], [00:06:50], the transformer architecture used in ChatGPT shows robust performance [00:06:54], [00:07:01]. The trends observed in these models are deeply understood empirically, though a full theoretical explanation is still lacking [00:07:07], [00:07:10], [00:07:12].
Redefining Artificial General Intelligence (AGI)
The concept of Artificial General Intelligence (AGI) is often misunderstood as a single point of achievement [00:13:00], [00:13:02], [00:13:06], [00:13:08]. However, AGI should be viewed as a class of technology, similar to how computers exist in various forms (small, large, in watches, phones) [00:13:12], [00:13:15], [00:13:17], [00:13:21], [00:13:24], [00:13:26]. There will not be a single moment when a specific AGI is declared [00:13:29], [00:13:32].
ChatGPT, for example, has already passed the Turing Test [00:13:39], [00:13:42], [00:13:44]. Historically, the Turing Test was considered a benchmark for machine intelligence [00:13:47], [00:13:52], [00:13:56]. However, this achievement went largely unnoticed [00:13:58], [00:14:00].
Current AI models can perform tasks requiring “superhuman” capabilities, such as writing high-quality poems where each line starts with a specific letter [00:14:16], [00:14:18], [00:14:21], [00:14:34], [00:14:38], [00:14:40], [00:14:44], [00:14:46], [00:14:49]. While human-level performance will be achieved faster in some areas than others, models’ competence is increasing across all domains, and in some areas, this level will quickly become superhuman [00:15:13], [00:15:16], [00:15:19], [00:15:22], [00:15:23], [00:15:25], [00:15:27], [00:15:29].