The OpenAI Saga

The Economy’s Weekly Recap 11/17/23 - 11/24/23

The Economy’s Weekly Recap

11/17/23 - 11/24/23

Raymond Lin

Dylan Horton/Phi Fiscal

This Week’s Prominent Events

Pierre Bamin/Unsplash

The OpenAI Saga

Nvidia

Nvidia’s Astounding Growth

Dado Ruvic/Reuters

Another Crypto Scandal

Dado Ruvic/Reuters

Broadcom Completes $69 Billion Acquisition 

Wolfgang Rattay/Reuters

Bayer’s Troubles

Future Events

Google

AI’s Role In Weather Forecasting

  • While one can easily expect the usage of AI in some industries, such as healthcare, retail, etc, it can be hard to understand that it will become practically ubiquitous in the future. Something that may assist the comprehension of AI’s soon-to-be scale is its usage in weather forecasting. 

  • Google DeepMind’s model GraphCast was able to predict weather in a 10 day forecast more accurately and faster than traditional methodology. To be more specific, it beat the European Centre for Medium-Range Weather Forecasts (ECMWF) in over 90% of 1300 test areas. Additionally, it outperformed the ECMWF in 99% of weather variables in the troposphere, which is where most weather happens anyways.

  • Besides being more accurate, GraphCast is also more efficient. It can run on a laptop and perform forecasts in under a minute, whereas traditional methods require a supercomputer and several hours. For example, while GraphCast predicted that Hurricane Lee would make landfall in Nova Scotia 9 days in advance, traditional methods only predicted it 6 days in advance. 

  • GraphCast is so much more efficient and accurate because it utilizes historic data and has undergone extensive training. However, its usage of historic data and extensive training based on that may also be a big weakness. If weather patterns change, which is plausible thanks to climate change, GraphCast could struggle to accurately forecast. 

  • So, until GraphCast becomes even better, traditional methods will still be used alongside it. Regardless, the usage of AI in weather forecasting is a demonstration of AI’s abilities and propensity to bring change.

Vincent West/Reuters

Slowing EV Growth

  • While EVs are the future and still a market with significant growth, they have recently slowed down. EV sales increased 49% through October, whereas they increased 69% during the same time last year. This is likely due to factors like the relatively high price of EVs and high interest rates limiting consumer spending. 

  • As a result of this slowing growth, automakers have begun to temper investor expectations and actual investments. Tesla’s earnings call last month noted this fact and suggested investors lower expectations and expect difficulty continuing to grow rapidly

  • This attitude can also be seen in Ford, which has postponed $12 billion in EV investments. This doesn’t mean it won’t be bolstering its production capabilities though. Rather, it means expansion will be more piecemeal and conservative to match consumer demand. 

  • Recently, Ford also scaled back plans for a $3.5 billion battery plant by cutting production capacity by about 43% and decreasing expected employment from 2,500 jobs to 1,700 jobs.

Getty Images

ESG Investing’s Decline

  • The idea behind ESG(environmental, social, and corporate) investing is initially quite appealing. By investing in companies with solid ESG factors, investors can support responsible and sustainable companies that, due to their good practices and reputation, should also yield strong returns. 

  • Societal and climatic pressure combined with this idea of possible returns to lead to tens of billions entering ESG factor utilizing funds. However, in the last year, these funds have experienced an outflow of $14 billion dollars due to disappointing returns. Additionally, for the first time ever, the third quarter saw more ESG funds removed or liquidated than created. 

  • Besides poor returns, ESG funds and investing may also be turning sour due to political opposition to ESG among conservatives, some of whom believe ESG is being needlessly pedaled. 

Weekly Question

How much has Microsoft invested into OpenAI?

  • A: $6 billion

  • B: $32 billion

  • C: $13 billion

  • D: $2 billion

Jakub Porzycki/Reuters/NurPhoto

Answer: C. Microsoft has sunk an enormous $13 billion into OpenAI, which has almost certainly paid off given share appreciation and their close business cooperation.