China is ahead at AI/Robotics/Tech adoption

..unless either of the two mess up insanely bad We'll probably get to the #3 spot if things go well. But it seems impossible that we'll ever go beyond that. Internal reasons that are very hard to fix:- (1) Our population TFR fell below standard replacement rate in 2023. This means we will not be able to follow the same economic growth trajectory required to reach developed status before population stagnation or declination. This is not a death knell but definitely very VERY bad news. (2) Our blue-collar workforce skill levels are not only subpar but are slowly falling behind the world standards every year. Much of our youth aim to join government orgs like the Army or the Railways which train for the job later, not before. Despite a national shortage of skilled plumbers, electricians etc, our vocational training orgs have been unsuccessful in attracting people towards these careers as well as churning out skilled workers. (3) Our bureaucratic environment is extremely slow with pathetic turnaround times on initiatives. This is not government specific and has always been the case so it seems like this will always be. This is not even a problem unique to India as many other countries have been facing this too but it is still a factor that negatively impacts our growth massively. I wish it was just internal reasons but a large part of it also comes down to both China and US being aggressively great at ensuring their successes:- (1) Chinese manufacturing seems nearly impossible to overcome - not just for India but also for the US. Yes, we might win over some industries and companies like the US, Vietnam, Thailand etc. have been doing but the amount of autocratic control in China allows them to crush competition easily. Case in point - the recent tussle between India and China on solar manufacturing which China won by autocratically lowering their prices. (2) If de-dollarisation succeeds, it will benefit China the most because (contd. in comments)

- China is pushing to mass-produce humanoid robots by 2025, with nearly 30 companies showcasing models in Beijing this week. - Tesla plans to deploy 1,000 Optimus robots in factories next year, aiming to revolutionize EV production. - The Chinese government supports the robotics industry with significant funding, including a $1.4 billion state-backed fund in Beijing. - Analysts predict the global market for humanoid robots could reach $38 billion by 2035, with costs dropping significantly. - Despite Tesla's early lead in AI, Chinese companies are rapidly iterating and reducing production costs. Source: [Reuters](https://www.reuters.com/technology/chinas-robot-makers-chase-tesla-deliver-humanoid-workers-2024-08-23/)

VC funding based on revenue multiples and profit (😂😂😂) multiples is soon going to be obsolete. Common sense says company's valuation should be summation of yearly profits it can generate till the company exists... So if reliance has profit of 8 billion $ , market estimates that it's valuation should be around 25x multiple of its profit that is to say that if reliance keeps on generating same amount of profit for year on year, it will not exist after 25 years. Now tell me, what shelf live does these VC funded startup have? I honestly don't see all these tom dick and Harry mobile based and web based startups existing by end of this decade thanks to AI revolution. People are still oblivion to what AI will do to white collar jobs Just out of curiosity, is there any single VC funded Indian startup in last 10-15 years which is immensely profitable ? Or for that matter any global giants like Amazon, Uber, Airbnb etc. which has turned profitable in Indian territory?

- Chinese government officials are rigorously testing AI models to ensure they align with core socialist values, expanding the country's censorship regime. - The Cyberspace Administration of China (CAC) is conducting mandatory reviews of AI models from major tech companies like ByteDance, Alibaba, and start-ups such as Moonshot and 01.AI. - The review process includes batch-testing AI responses to politically sensitive questions and examining training data and safety protocols. - China's stringent approval process has led AI developers to implement extensive censorship measures, including filtering training data and building sensitive keyword databases. - Despite the strict regulations, Chinese officials aim to avoid AI models that completely dodge political topics, setting limits on the number of questions AI can decline during safety tests. Source: Financial Times

What are you still using AI for? What are all the diverse use cases that people may have not heard of?

Pretty sad imo

Hi everyone, I'm curious to know how your company is using GenAI(like ChatGPT, applications built aroung GPT-4 and other LLMs) in daily operations. Have they started any pilot projects or begun offering GenAI as a service where integrating it with client's workflows? I'm interested to hear your experiences.