The new US administration is making changes to AI policy, which might affect tech companies and regulations. These changes could ease some restrictions, but their real impact is still unclear.
NVIDIA remains a strong player in AI hardware, especially as demand for Chinese chips grows. However, there's skepticism around whether newer companies can truly compete with established ones like NVIDIA.
Europe is pushing to increase AI adoption and innovation, but there are concerns about their regulations stifling progress. Meanwhile, big investments are happening in AI startups across various sectors.
AI is really growing fast, and new companies are getting lots of funding to develop more advanced tools. This is creating a competitive environment.
The politics around AI are uncertain after the recent US elections. It's hard to predict how new leaders will affect AI regulations and policies.
There's ongoing debate about the quality of AI models from both US and Chinese labs. They are working hard to innovate and improve, showing that competition is fierce on a global scale.
The US has introduced a National Security Memorandum on AI. This aims to boost collaboration in AI research and improve the chip supply chain, reflecting AI's role in global politics.
There's a growing debate over copyright and AI, with many creators worried about unlicensed use of their works. Some groups are pushing for stricter regulations to protect creators' rights.
Big tech companies are making big moves, like OpenAI raising $6.6 billion. This shows that investments in AI startups are still strong despite the challenges in the industry.
The (geo)politics of AI discussed with the Mistral/Microsoft partnership sparking controversy in Europe, UK's stance on AI regulation, and India's restrictive measures on AI models.
Developments in hardware: NVIDIA's market cap crossing $2T, their new robotics and embodied AI lab GEAR, and China providing compute vouchers for start-ups amidst US sanctions.
Insights into big tech start-ups like OpenAI facing drama, Anthropic unveiling Claude 3 as a GPT-4 challenger, and Mistral launching Le Chat multilingual assistant.
Data acquisition is crucial for AI startups. It's important to know different methods like using synthetic data and scraping from various sources.
Strong storytelling helps tech companies succeed. Good story-telling is needed to explain technology and attract support.
AI's energy needs are growing, making nuclear energy a potential solution. However, the speed of building new infrastructure to support it must improve.
In 2024, a lot of money continued to flow into AI companies, with new investments and mergers happening across the industry. This shows that AI is still a hot topic and technology is growing quickly.
Air Street had a very busy year, releasing new reports and hosting many events that brought together people interested in AI. These events helped foster connections and share knowledge among researchers and entrepreneurs.
The community is excited for the future of AI, as they believe we're just at the beginning of its potential. People are looking forward to seeing what new ideas and advancements will come in 2025.