Check out [[Daily Reading]] for context.
## Today's Picks of the Internet
#### [Can a Startup Kill ChatGPT?](https://every.to/chain-of-thought/can-a-startup-kill-chatgpt)
- Disruption in tech in the age of Chatbots powered by Generative AI
- The battle between the giants is popularised. But, equally important is the battle between the "smaller guys" looking to infiltrate sectors
- Building an AI product has become massively easier for a "startup" or "solopreneuer" now due to the commoditisation of AI, ironically due to the clash between big corps (everyone trying to outshine each other, eg: the OpenAI vs Google battle) - Reminds me of the sheep and wolf story ;)
- The biggest area where a startup can go ahead is in how they handle "risk" - Chatbots are risky as any info they provide will make them responsible for it
- Ways to distribute this risk
- Open source
- APIs to enable 3rd party apps
- Custom chatbot personalities
#### [Introducing Dev, the first AI software engineer](https://www.cognition-labs.com/introducing-devin)
I am just mind blown to be honest.
#### [How Do They Know This?](https://quillette.com/2022/12/08/how-do-they-know-this/)
- A brief review of Georgina Sturge's book - "bad data"
- Talks about statistics in the realm of politics
- Numbers released by politicians are always supposed to be taken with a pinch of salt
- Misinterpretation of stats is a key issue
- "If you take one point away from _Bad Data_ it should be that the vast majority of statistics are estimates, some of them are very rough estimates, and statisticians are constrained by limited resources and bounded knowledge."
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