AI world energy consumption

- Bill Gates claims AI will 'pay for itself' by offsetting emissions. 🤔 - He believes data centers will become more efficient with AI. 🌱 - Gates argues AI will use up to 6% of global electricity, not more. ⚡ - Critics say AI's energy consumption is still a major concern. 😡 - Are we underestimating the environmental impact of AI? 🌍

Hi Grapeviners, creating a thread where you can post the name of a toxic culture company along with which department. This thread is created as a one stop place to know about Toxic Culture Companies whether it, Early/Seed/Growth Stage/MNC . #community

For as long as AI has been around (milliseconds on the timescale of humanity), there has been an increasingly negative view on job security and whose job is on the chopping block next I submit the following points, and I wanted your take on them 1) True beauty is irrational: foundational and advanced AI models take after datasets and truths known to humans forever. However true inspiration (a genuinely beautiful new sound, genres of music, acting out of spite and creating something new) is so inherently human that we ourselves can’t predict anything that hinges on an unanswered question 2) AI can’t fix your toilet: weirdly enough, the jobs that require real world skills (carpentry, masonry, cooking, physical art) are not just safe, but likely to become future proof, while all our computer based jobs (most, not all) can be automated given time. What a fantastic return to roots. Evolution didn’t give 99.999% species opposable thumbs and we won’t give our AI overlord them either lol 3) AI needs a plug point: dystopian commenters say that AI can take us over. How? If processing power is finite based on available energy, pulling the plug can effectively guillotine any threat to our life So many people on this forum wonder whether they’re next (some have found out already, and we pick them up and help them because we hate the future) but I hope we can laugh at these moments in the future because if I’m wrong, and Skynet really does figure out how to make things happen, then at least we will all die having seen this inevitable future and having laughed at it’s ugly face

That's the market cap of Saudi Arabian Oil Co, or Google + Amazon + Apple https://archive.ph/orZGB

AI bias: Can AI be fair? AI mystery: How do AI systems make decisions? AI blame game: Who's responsible for AI actions? AI privacy: Can AI keep our data safe? AI safety: Can we trust AI not to harm us? Let's discuss....

Recently there has been a huge drama at OpenAI. But rather than AGI, even a targeted model that has been trained on decades of experience of a firm can do a lot of things. With possible future advancements in quest for AGI, what do you think will change in your role?

Hey Everyone, I'm Vaibhav Vardhan, Co-Founder & CEO at Inc42. We are India’s #1 startup media & intelligence platform that informs, educates and empowers startup leaders & operators through our incisive reporting and industry-leading executive programs like FounderX. I'd love to chat with you folks about my journey in building Inc42, why we’ve built FounderX and more! Ask Me Anything :) I’ll be back at 5PM and answer all your questions!

Marc Andreessen famously declared, "Software is eating the World," and the truth in that statement has only grown with time. But here's the kicker: software itself is now under threat, because "Data is eating Software." The evolution of technology has reached a fascinating moment. Back in the day, individuals and organizations ran their own servers. Essentially, it was highly centralized and resource-intensive. Then came the era of Cloud Computing, which transformed computing into a utility, much like electricity. Cloud computing became widely accessible through AWS, Azure, and GCP and quickly commoditized server infrastructure. This shift enabled unparalleled scalability and flexibility, essentially democratizing access to computing power. Now, a similar transformation is underway in AI, particularly with the foundational models developed by tech companies like Meta, OpenAI, Google, and others. Here's where the ambitious vision for the future unfolds. Just as Cloud Computing commoditized servers, data is poised to commoditize foundational AI models. These models are remarkably powerful, but they will too hit an upper limit on how great they can be. As Data accumulates at an exponential rate, it's becoming clear that Data, not these foundational models, will be the only sustainable moat in any AI application. The true moat isn't the model itself; it's the data that refines and trains the model. Data will be the key to unlocking the full potential of AI, enabling personalized experiences, hyper-accurate predictions, and previously unimaginable insights. So, while Marc Andreessen's proclamation about software remains timeless, the torch is passing to "Data is eating Software."

Everyday I open youtube/grapevine/teamblind its has keywords AI + Shocked or it will replace our jobs. My take on why AI might not replace our jobs. 1. Running AI agents or AGI requires significant electric power. If every company starts using it in some way in the future. All the code might be exposed. What if AGI builds its own version and starts selling and shuts down its employer considering its super intelligence. 2. If people dont pay taxes. How will government run? Who will buy the products in the market? Wont people start stealing/hurting others to meet basic needs? 3. Many jobs in todays world use computers in someform. But we only talk about the software engineers. There are non tech people who use computers in their works. Those are pretty much repetitive and can be easily automated. Many are not aware about chatgpt. On the other end people talk about alternative jobs and the safest job is farming in most of the posts. 1. Cant the rich build humanoid robots to do the same. Can't big corporates buy lands and build vertical farms and run with robots. 2. What big corporates are going to do with the excess money laying us off in the end if all the jobs are taken, as if the people running or owning them are going to live their life eternally. Unless they find a way to upload their existence into a robot. 3. I'm not sure if people posting about AI taking jobs have worked on atleast building basic ML models like linear regression or used MNIST data to detect numbers using neural networks. For most of us AI is a blackbox and we do not know about its full potential. My take on AI 1. AI can aid humans in their tasks or make developers like us to wear multiple hats. Like combination of backend, frontend, mobile, devops, machine learning, cybersecurity. Helpnus better debug. 2. I feel like all these CxO's just blabber to get high funding, spread fear while they chill in their yatch. Let me know your thoughts on this.

Been spending way too much time on Grapevine lately - absolutely loving it @Micheal_Scott! Posted the Prosus report takeaways yday - lots of you DMed asking questions. Then I saw NewsAnchor break down the entire Prosus Annual Report - great stuff. I was an Associate at one of the largest VC funds in India, so I enjoy going through new reports and summarising them - found my notes from Bain's India Venture Capital Report 2024. Thought of sharing the unedited summary that I shared with the Partners at the fund, have a bunch of these - can share more if of value to any of you here (ofc removing the confidential parts) Notes: 1/ India's maintaining its gravitational pull despite the global funding crunch. Sure, overall funding nosedived 63% to $9.6B, but we're still the #2 destination in Asia-Pacific. Might not necessarily be a crash, it's a necessary course correction. 2/ Early-stage investing is showing remarkable resilience. Seed deals now comprise 70% of all deals, up from 60%, with average check sizes holding steady at $1.4M. Smart money is quietly positioning itself for the next wave of innovation. 3/ The tech-only playbook is being rewritten. While consumer tech, fintech, and SaaS still command 60% of funding, traditional sectors like BFSI are gaining ground, with average deal sizes jumping from $8M to $15M. We're witnessing the birth of tech-enabled, not just tech-centric, growth stories. 4/ The unicorn factory has hit pause, with only 2 new billion-dollar valuations vs. 23 in 2022. Mega-rounds ($100M+) plummeted from 48 to 15. This isn't a drought; it's a return to fundamentals. The era of grow-now-profit-later is firmly behind us. 5/ Generative AI isn't just hype; it's reshaping the landscape. Funding exploded from $15M to $250M, with 80% flowing to existing companies integrating AI. India's quickly becoming a laboratory for practical AI applications, not just speculative moonshots. 6/ Electric mobility is rewiring itself. While overall funding dipped slightly to $600M+, charging infrastructure investment surged 50%. The real opportunity isn't just in vehicles; it's in building out the entire EV ecosystem. 7/ Exits are defying gravity, leaping 1.7x to $6.6B. Public market sales led the charge at 55%, even as IPOs cooled. LPs are getting liquidity, and the secondary market is proving surprisingly robust. There's still appetite for quality assets. 8/ PE is no longer just watching from the sidelines. These players doubled their share to 25% of investments, going toe-to-toe with traditional VCs. The lines between growth equity and venture capital are blurring, and it's changing the game for late-stage rounds. 9/ We're watching natural selection in real-time. Yes, 35,000+ startups shuttered and 20,000+ layoffs hit the headlines. But companies like Groww and Indifi turned profitable. This isn't a bubble bursting; it's an ecosystem strengthening its foundations. 10/ Domestic VCs are coming of age. While overall fund-raising halved to $4B, homegrown VCs led 90%+ of raises. They're not just following; they're specializing, with thematic funds like Omnivore's $150M agritech vehicle. The ecosystem is bootstrapping its own future. 11/ Regulation isn't just tightening; it's evolving. Angel Tax expanded and lending norms got stricter, but we're also seeing innovative policies like UPI for foreign travelers. India's crafting a uniquely balanced approach to fostering innovation while maintaining stability. Topics we can discuss during our standup: 1/ Can India produce global tech giants if it's primarily adopting rather than pioneering in areas like AI? How do we enable this? 2/ How will the shift towards profitability impact India's ability to foster truly disruptive innovations? Implications for us, how should we be evaluating deals differently? 3/ With domestic VCs leading the charge, how will this change India's startup narrative on the global stage? 4/ Is this maturation setting the stage for more resilient, globally competitive Indian startups, or are we risking our innovation edge? How do we look at thesis driven investing v/s fomo investing? Link to Bain's report - https://www.bain.com/insights/india-venture-capital-report-2024/ P.S. Do note that this is 6+ months old - data points mostly look diff now but sharing it anyways. Will post more as and when I get time :)