The GPT store was initially seen as a potential game-changer, akin to the Apple Store, but its impact diminished over time. While custom GPTs proved useful for personal workflows, the store aspect for sharing and monetization failed to gain traction. It became more about simplifying repetitive tasks rather than creating a new business model.
OpenAI's Sora preview in February 2024 showcased groundbreaking video generation capabilities, causing immediate industry disruption. Hollywood mogul Tyler Perry even paused an $800 million studio expansion after seeing Sora. Although Sora wasn't released until late 2024, its preview set the tone for significant advancements in video generation throughout the year.
Microsoft's acquisition of Inflection in March 2024 was a strategic hedge against its reliance on OpenAI. Inflection's IP, team, and leader Mustafa Suleiman (ex-Google DeepMind CEO) bolstered Microsoft's internal AI capabilities. This move also highlighted a trend of 'non-acquisition acquisitions,' likely driven by antitrust considerations.
Meta's Llama 3 launch in April 2024 marked a significant milestone in narrowing the gap between open-source and closed-source AI models. By summer, Llama 3.1 405b achieved GPT-4 class performance, demonstrating that open-source AI could rival proprietary models, reshaping the AI landscape.
Ilya Sutskever's departure from OpenAI in May 2024 was significant because it signaled a shift in the frontier AI lab approach. He later founded Safe Superintelligence, focusing solely on achieving superintelligence without a business model. This departure also marked the beginning of a trend of OpenAI executives leaving throughout the year.
NVIDIA's rise to become the world's most valuable company in June 2024 underscored the massive scale of AI infrastructure buildout. This milestone highlighted NVIDIA's dominance in AI hardware and set the stage for debates about ROI and sustainability in AI investments later in the year.
In July 2024, the key debate centered on whether AI investments were yielding sufficient returns. Reports from Sequoia and Goldman Sachs questioned the ROI of the $600 billion spent on AI infrastructure. While these reports sparked discussions, they were seen as less negative upon deeper analysis, with Goldman Sachs' chief economist's comments particularly criticized.
California's SB 1047 legislation in August 2024 sparked national debate due to its focus on theoretical AI risks (X-risk) rather than immediate challenges. Critics argued it could harm California's competitiveness. Although it passed, Governor Gavin Newsom vetoed it, reflecting broader shifts in AI discourse from safety to national security and leadership.
OpenAI's O1 preview in September 2024 introduced a new class of reasoning models designed to 'think longer' before responding. This approach addressed emerging concerns about a plateau in AI scaling methods, setting the stage for future innovations in AI reasoning and problem-solving.
Notebook LM's recognition in October 2024 was significant due to its innovative audio overviews, which created personalized verbal discussions from uploaded materials. This feature, highlighted by former OpenAI leader Andrej Karpathy, marked a new frontier in LLM product formats, sparking widespread interest and discussion.
The US presidential election in November 2024 had a major impact on AI policy, with President Trump appointing an AI czar to oversee AI initiatives. Questions remained about whether Biden's AI executive order would be repealed and what new policies might emerge, making AI a central issue in national discourse.
In December 2024, Ilya Sutskever declared the 'pre-training era' over, highlighting that AI labs were no longer seeing significant gains from traditional training methods. This marked a turning point, sparking renewed experimentation and exploration of alternative approaches like world models for achieving AGI.
From custom GPTs to NotebookLM to SB-1047, NLW reviews the AI year of 2024 through the lens of each month's most important news story.
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