AI and Humanity: Navigating the Future

SS PODCASTS
23 Feb 202420:54

Summary

TLDRSish, a founding engineer at a startup, discusses AI and its potential to transform software development. He explains how AI helps quickly build customized software to solve problems at scale. He believes AI combined with software creates efficient solutions. As an example, AI can analyze complex board games that are impossible for software alone. Sish emphasizes that AI augments human capabilities rather than replaces them. He predicts AI will eliminate routine mental tasks, allowing people to focus on more meaningful work. Overall he's optimistic about AI's impact on jobs, expecting short-term displacement but long-term benefits as new roles emerge designing these AI systems.

Takeaways

  • ๐Ÿ˜Š Sish discusses how AI is fundamentally changing software development and solving problems faster
  • ๐Ÿ˜ฎ AI is able to build customized software solutions quickly based on specific needs and workflows
  • ๐Ÿค” AI and software should not be viewed separately; rather AI enhances software capabilities
  • ๐Ÿง Sish believes only 10% of his engineering education is actually useful in his current work
  • ๐Ÿ‘ Sish emphasizes being aware of latest industry trends and having an open mindset to adapt to new technologies
  • ๐Ÿ’ก Sish talks about the role internet and open education resources played in shaping his interests and passion
  • ๐ŸŒŸ Sish highlights that breakthrough innovations are often passion projects that go against the system
  • ๐Ÿ˜€ Sish expects AI to take over repetitive and mentally boring jobs, freeing up human potential
  • ๐Ÿ˜Ž Sish foresees AI acting as co-pilots and assistants in decision making roles requiring unbiased judgments
  • ๐Ÿ’ช The host is advised to share strong opinions publicly to organically attract podcast guests

Q & A

  • What is the difference between AI and normal software according to Sish?

    -Sish explains that AI helps create software faster and more efficiently to solve problems, while normal software requires manual coding for each new problem or requirement. So AI augments software capabilities.

  • What does a founding engineer do in a startup?

    -A founding engineer plays a key role in a startup, working across functions beyond just engineering such as strategizing with stakeholders, making key decisions etc. They take on more responsibility compared to later employees.

  • How can professionals adapt to the AI-driven future according to Sish?

    -Sish suggests being aware of latest advancements in your domain that leverage AI, and having an open mindset to adapt and leverage these new technologies.

  • What changes does Sish suggest in the education system?

    -Sish advocates moving away from rote learning of outdated concepts in engineering. Instead education should focus more on applying knowledge, building solutions with passion.

  • How will AI impact jobs according to Sish?

    -While some jobs may be disrupted, Sish believes AI will create many new jobs around designing these AI systems. It will enhance jobs by taking over repetitive tasks and freeing up human potential.

  • What role does Sish envision for AI in governance and policymaking?

    -Sish suggests having AI systems as advisors for decision makers like politicians to counter human biases and limitations in processing large amounts of information.

  • Why does the host want to grow his YouTube subscribers?

    -To establish credibility so he can get interviews with education system directors and deans for his podcast interviews.

  • What advice does Sish give the host regarding YouTube growth?

    -Put out interesting opinions online to gain some traction, so stakeholders reach out to be interviewed rather than cold contacting.

  • What are the pros and cons of the 30 minute podcast format according to Sish?

    -Pros are concise, prevents overly long segments. Cons are cannot get too in-depth into any one topic.

  • When does Sish expect to meet the host in person?

    -Sish hopes to meet the host soon in person after the podcast recording.

Outlines

00:00

๐Ÿ˜€ Introducing the guest Sish and starting the conversation

The host introduces the guest Sish, mentioning his academic background and achievements. They begin discussing AI and its potential, comparing it to traditional software. Sish explains how AI is fundamentally helping software solve problems faster rather than being a separate entity.

05:01

๐Ÿ˜Š Explaining the role of a founding engineer

Sish explains what a founding engineer is - someone who joins a startup very early when there is no product or money yet. They take on diverse responsibilities and get more equity than later employees. He shares how his personality fits this role of handling ambiguity but moving fast.

10:02

๐Ÿค” Rethinking engineering education for an AI future

They discuss how engineering education needs to change to prepare students for an AI future instead of focusing on outdated concepts. Sish advocates for passion-driven learning using internet resources rather than only relying on formal education systems.

15:02

๐Ÿ˜Ž AI's impact on jobs and needing an AI co-pilot

Sish shares historical examples demonstrating jobs change but don't disappear with new technologies. He predicts boring repetitive jobs will be taken over by AI, creating demand for roles designing these AI systems. He suggests having an AI assistant for decision-makers to reduce biases.

20:03

๐Ÿ‘ Advice for improving the YouTube channel

When asked for suggestions to improve his channel, Sish appreciates the diversity of guests but advises having a more memorable name. He suggests putting out opinions to stand out and get prominent guests interested rather than cold outreach.

Mindmap

Keywords

๐Ÿ’กArtificial Intelligence

AI refers to the simulation of human intelligence in computer systems. In the video, the host asks the guest to explain the difference between AI and normal software. The guest responds that AI helps create software faster by building customized solutions, as opposed to an engineer manually coding software features from scratch.

๐Ÿ’กFounding Engineer

A founding engineer is one of the first software engineers to join a startup. As the guest explains, founding engineers take on diverse responsibilities in areas like backend, frontend, and AI because startups lack dedicated roles and resources in the early stages.

๐Ÿ’กEducation System

They discuss how the current Indian education system is not preparing students adequately for an AI-driven future. The guest criticizes the outdated, passive learning and advocates for more passion-driven, hands-on learning enabled by internet resources.

๐Ÿ’กInternet Impact

The guest argues the impact of the internet over the next decade will be 10 times that of AI. He gives his personal example of how discovering online learning resources outside the formal education system transformed his interests and ambitions.

๐Ÿ’กBiases

When discussing AI's impact on jobs, the guest states AI has no inherent biases that humans do based on upbringing, religion etc. So AI can be useful for unbiased decision-making in fields like politics.

๐Ÿ’กJob Automation

The speakers discuss which categories of jobs are most at risk of automation by AI. The guest asserts repetitive administrative jobs and emotionally exhausting jobs will likely be automated. But AI will also create many new human jobs designing these AI systems.

๐Ÿ’กHistorical Examples

When discussing potential job losses from AI, the guest cites historical examples - e.g. while oil discovery eliminated many horse-riding jobs, it led to new jobs like driving cars. He argues a similar rebalancing will happen with AI's emergence.

๐Ÿ’กCo-Pilot

The guest suggests having AI systems as "co-pilots" for human decision-makers like politicians to minimize biases and enhance the decision quality. This indicates AI playing an assisting rather than replacing role for certain critical occupations in the future.

๐Ÿ’กRecession Fears

While discussing AI's impact on the job market, the guest acknowledges there may be short-term economic shocks and recessions as humans struggle to adapt. But he remains broadly optimistic about net job creation rather than losses from AI.

๐Ÿ’กPodcast Improvement

When asked how to improve his podcast, the host is advised to make it more discoverable through search-friendly naming and posting opinions openly on social media to attract expert guests seeking his unique perspectives.

Highlights

AI will create software and software will leverage AI to create more AI

AI is good at creating software customized for each user's needs

Founding engineers have more diverse responsibilities compared to later employees

Education should leverage AI more instead of focusing on old computing concepts

Passion drives creation of great things, not just following system instructions

Internet allows connecting with people globally who share your interests

AI will take over mentally boring and emotionally draining jobs

AI can provide unbiased assistance to decision makers

People from humanities will design AI systems, not just computer scientists

Jobs involving human potential will remain

Initially AI may cause economic recession but long term is positive

AI will make drug discovery 100x more efficient

Podcast name needs to be more memorable

Podcast format allows touching diverse topics

Goal of podcast is connecting with leaders, not just getting views

Transcripts

play00:04

Hi sish how are you hey hi great man

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great

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yeah doing good yeah doing good yeah

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welcome to SS podcast uh so coming on to

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our guest this is sish he completed his

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Bachelor from s University that is Sri

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wadeshwar University kupati and was a

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founder and head of the coding help in

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the University itself and he is one of

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the finalist of the TCS human ion

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finalist in National level a series

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contest and product development which

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was around 30,000 students participated

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from thousand colleges around across

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India and currently working as a

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founding engineer from work welcome

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sadish welcome to SS podcast it's nice

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to see you on the other

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side it's yeah it's super fun yeah

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thanks for the intro and how would you

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would like to start this

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yeah actually you know I there's a lot

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to discuss with you actually I just want

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to die with you uh so nowadays there's a

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lot of discussion around AI potential

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right uh we can see in every field the a

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is developing rapidly even in academics

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itself while writing articles scientific

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articles for research Publications

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before itself it was very difficult for

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us like editing the text and English

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everything now it has even references a

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potential have been seeing since two

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years in research field how the

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potential has been developing so I just

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want to know explain this difference

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what's difference basically between a

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and normal

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software

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yeah oh yeah okay

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you as like I would approach this as

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like I don't put them in two different

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buckets like software versus a or

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differences like that it's like AI will

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create software software will leverage

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Ai and like to create a if you need

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software and like the best uh a there is

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also uh so like it's uh the way how we

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get things done like fundamentally like

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we were able to like you know articulate

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our decisions all the mental models and

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practices by very structured code very

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uh you know like very condition

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predefined uh blocks of code and now

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what it happens is like the moment you

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have an idea and to get that idea into

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reality the AI is just like helping you

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get it as fast as possible so for every

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new sort of uh workflow or problem or uh

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you know like need you have with

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software like someone doesn't have to

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sit with you and create a dedicated

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software to you so is something like

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it's just good at creating software

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right now so so it is able to like

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uniquely build software for you so that

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is how we put like a is helping software

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uh you know like solve all those

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problems where like uh it's like very

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unscalable right now so if I am as a

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engineer solving a problem for one user

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using one app and if I have to you know

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like solve another problem I will have

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to like do it as manually as possible

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and then like write all the code

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sometimes from scratch so that is

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something like a just like simply you

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know

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uh making sure like whatever we are

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doing it just like way faster I me like

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I I I can give you my favorite example

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uh so there is this game called uh

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diplomacy uh it's by uh it's like

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diplomacy is like what is like basically

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a board game where there will be seven

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or eight players and what we have to do

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is at the end of the day you will have a

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country I will have a country other have

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a country and then you have to win the

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majority more than 50% of the countries

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you have to get it if if we would

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approach it by a software where it's

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impossible it's like just like there are

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like billions of millions of all the

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paths that are possible in the game so

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that is something software can do and

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then humans are natural like you just

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practice couple of hours and then you

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will get all the things all the tricks

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and all so those are things like only

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software can do those are mission

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critical things for example surgery or

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you know like missile guidance all these

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things like Precision is really

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important and then like you can't know

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like let a take control over there like

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so like it's like software versus it's

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not vers it's like combined together uh

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it's just like another efficient way for

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us to solve the

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problems yeah it's nice but you know I

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really doesn't know I have zero

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knowledge on this matters like because

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my background totally was biology senses

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and as I divided latter then so so I but

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seeing this potential from a it's really

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nice to feel and uh and what's your role

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basically as a founding engineer I I I

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was listening this ter for the first

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time like founding

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engineer I made up made up word this is

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like to attract I think uh Engineers to

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say likey you not just an engineer you

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are founding engineer you are important

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so like some ego boost but like yeah

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like essentially the difference would be

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uh coming like if you are an engineer at

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a startup versus if you're engineer at a

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company so that is like right now for

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folks it is very clear like at startups

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you know you would be doing a lot of

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things uh and you won't be like very

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specifically focusing on like uh

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implementing One requirement requirement

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is basically like let say a screen or a

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page or an app or something like that so

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in startups it's more like you will be

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working with a lot of diverse St holders

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uh and then like you will be doing like

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a little bit of everything so you won't

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be confined basically so that is like

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engineering startup but like basically

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foring engineer it just a difference in

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the timing so you are the company

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where there is no money there is no idea

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there's no product uh you know like you

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just join because you believe in the

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team or you believe in the you know like

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the passion in them or you believe in

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the space right now like that like

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nothing will be uh you know like set in

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stone like it's a high risk with like a

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little bit of reward also obviously

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because why would anyone take uh that

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much risk so yeah like some mths are

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also there like uh founding Engineers

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are not co-founders uh you know like we

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don't get like uh super Equity also but

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like we will get the QD uh much better

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than any other employee joining uh in

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startups in a later stes let's say like

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after getting the funding or after you

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know getting that first dollar of

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Revenue so yeah it's like personally for

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me it just like fits into my personality

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like I will get to do like lot of lot of

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things I will have fun in this startups

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just what's your role like you design

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something or you do a kind of stuff or

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youy new

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things

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it's a little bit of everything but not

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like design and marketing so that is

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something like I'm not proficient in so

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even if I do they will be bad but like

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some back end some front end uh most but

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mostly like let's say 60% would be going

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into a yeah like thinking about a

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building actual a experiences like that

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and yeah so you basically like onto the

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every software part as a founding

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engineer yeah

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it's it's like not because like that's

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school or something but it's lack of

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resources basically like we wouldn't be

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having like you know one dedicated

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person just you know like deploying

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something like that it's like you will

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get to do everything because you have to

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do everything and yeah it's just like we

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just want to move faster the more people

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involved it's uh like you know like

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upskilling them training them or you

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know like communicating the vision with

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them it's just like it will slow down

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actually the more number of people you

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add into the process early on it will

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like just slow how fast you are

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executing basically I was in academy

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sport a year so my education plays a

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vital role I guess in these preparing

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individuals for driven future as you

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know so the upcoming future will be of

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totally when I was in bform I wasn't

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known about this future but in during a

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drug Discovery process now we had to do

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some had to learn stuff about e how the

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drug work and everything so what

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basically you think how people from

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background such as BC or any other like

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normal not a professional course so

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would take up the

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skills that are necessary but the AI

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feure right uh it's necessarily nothing

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it has to do with a actually it's just

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like every new technology we have our

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the way we do things the way we learn

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some things we just have to unlearn them

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so it comes with like some sort of

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mindset like hey I just need to be uh

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aware of what is going on so in case

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let's say in your case you might be like

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uh you know have to be aware of all the

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recent ml leveraging drug Discovery

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papers you know what are the like let's

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say what is Silicon Valley doing with

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latest drug Discovery things so like

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some little bit of awareness but like

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just being open like hey this thing

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worked well so far but like I have to

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adapt no uh and then like it's basically

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the learning the specific Technologies

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languages all these things doesn't

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matter like uh it's just like they will

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always change and uh it just like mostly

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the Delta will come from you being more

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aware and open but like yeah to get into

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space

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fix yeahor was just want to like Bas so

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you did your btech so in your btech you

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think that education system must

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ad so

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that working professional so you might

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have some like education system must be

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changed like this so that in the future

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a driven future is there so I take a

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place in the job

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market yeah it's like uh we are like

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severely under leveraging AI especially

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I think like in education we are like

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still doing very low level upat low

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level

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uh you know like practicing low level

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things to say

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uh uh yeah like basically right now we

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just have to be like focusing on like

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hey what all can I do how can I make

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things better uh and then like we should

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start from there uh instead of you know

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like me learning something that happened

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from 1980s back so that is how like at

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least in engineering education is like

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you just have to learn what happened in

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Computing from from 1980 1990 all those

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uh you know like they were fundamentally

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impactful things but like those are the

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things like I think like I have little I

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got little value out of them like all

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the education let's say like only 10%

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I'm reusing right now and the 10% is

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probably because someone with the

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passion to change education put them in

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the

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syllabus

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yes I don't believe in this I don't

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believe in this University based

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education should come from within like

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okay so you just say like it has to be

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from Passion for a student yeah yeah I

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mean like that that's how like nothing

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in world is actually came from a system

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and then a person trying to know follow

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the rules in the system like everything

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you see is like that's a beautiful quote

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like every beautiful thing you see is a

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passion project for someone and they are

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not merely you know like following

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instructions from a system like whatever

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you see like like that partk of that or

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a building you appreciated uh or a

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beautiful software you you are using to

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research like nothing is like okay let

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me just do my

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job yeah they do out of

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passion yeah it's like they they really

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have to go against everything that was

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said

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right we di a lot but like education

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yeah I so still I think for an average

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uh student coming out uh right now like

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I can say I can put myself as an average

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person right like till engineering first

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year I was not aw like this much of

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beautiful resources are there in

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Internet so it was like plus one plus

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two hosle uh only resource we have is

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the immediate teacher you can talk to

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and the couple of books you have bought

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in second hand and in t especially you

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know like it's like they consider it as

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like you know some sort of sin to go and

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use computer I think like they might

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have like time waste or something but we

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mostly use it to play games but the

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mindset shift happened to me discovering

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that like hey there are amazing people

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across the globe who share similar

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passion to me who like you know like

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nerd about the things I only I thought

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only I care about so like let's say like

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you have a very specific interest none

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of you your classmates will you know

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like resonate with you but there will be

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thousand people across the globe that

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only internet can connect so right now

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like India like

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still a lot uh we have to leverage there

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like yeah I think like still people are

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discovering like you know corera uh

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YouTube

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courses open course like lot of courses

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are there uh the same with the there are

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lot of tools lot of knowledge sharing

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happening this this just happening a we

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are like seeing the tip right now A I

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think personally sucks like you really

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can't like you know like uh give a goal

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and then like it will help you bring a

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research report you have to like you

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know manually babyit like every line of

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coding but but like we are just just two

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years down the line yeah like internet

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nothing with actually like yeah of

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course yeah like you know like there

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is there are like cooler tools that are

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purposefully built for your profession

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so we just have to like you know like

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use and then sit on top of them uh

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instead of like going back again to the

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roots and then you know like our

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University education will basically be

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like hey you have to write this thing on

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paper from me passing so what your views

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on AI on job market so whether it you

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think whether it will enhance the job

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market or disrupt the job market and

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create more

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unemploy I will have to borrow this

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answer from history lake so there

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happened they like what is this there

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was uh oil Discovery 189 or something

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like that what happened to the jobs that

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used to like people who used to ride

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horses like yeah they the specific job

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had died but then they moved on to

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driving cars then came the internet I

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don't know the impact of the internet is

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like very huge that like a lot of

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fundamentally jobs have like changed the

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same but like 10 ex that like oil into

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10 is internet impact internet impact

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into 10 is the a impact like all the

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jobs that are you know like very

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mentally boring to

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do you just have to like you know copy

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your research report to excel put them

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back back foot mentally boring job are

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you know like some jobs are there like

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that are emotionally very very very very

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hard uh like so those are the jobs I

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think

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like have to take out of us like all

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these things then there are jobs that

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like uh let's say like some decision

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making or something like that so

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something like I personally want is a

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co-pilot or you know like e assistant

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for all the politicians Etc so you and I

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will have biases like the background we

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grew up from the religion and the Cults

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all that influen with us like

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subconsciously like we don't know we

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think we have smart but we will have lot

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of biases we will have a lot of

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emotionally attached things like these

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are the things a doesn't have it doesn't

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like you know even if you ask it to do a

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same thing 10,000 times it won't get B

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out of that it won't like try to change

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jobs or anything like that there there

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are no such things for a so those are

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the jobs uh that first I think like it

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will create those new jobs so whoever

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has to design these systems like bass

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free decision making systems so those

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will be the people not like the

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engineers coming from Computer Sciences

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it will be a Humanities people who will

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like you know like uh okay now I am

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researching how to make best decisions

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then they will like okay let me like uh

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B this into whatever I learned into a AI

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system or it will be the drug Discovery

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folks like you know whatever the process

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you are doing you will just make it 100x

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better by because you can't keep up with

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100 papers a day that are getting

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released but can just shift them all

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through and give you the this is the

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paper you have to ignore the rest of

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them

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yeah but like it will fundamentally

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change some of the jobs that are uh that

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are not getting used of the best human

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potential and I think it's for the best

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there will be a setback like 5 years 10

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years like human have to adopt and then

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like you know like maybe like it will be

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very uh recession level set backs but if

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we not at that stage like still

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yeah that's nice uh so and I have a last

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question for you so okay how do you

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think I can improve my

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channel yeah I

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actually I mean

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like like lowest B like your channel

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name is not

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rememberable yeah okay then yeah but

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like I try to search then like lot of

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other podcast Domin you and then like

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they are slightly rememberable but in

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general like I believe like since I'm

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not a Aid podcast consumer or a podcast

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post or something like that I like you

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you are smart enough to figure out and

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then you just have to do like 100 more

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exts to figure out like what is just

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just go on like yeah you just say like

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just whatever it might be right yeah

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just stick to them

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yeah yeah obviously yeah I'll try my

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best for that yeah it's very nice yeah I

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will sorry you were just saying

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something yeah I mean like it's it's

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cool actually yeah like uh right now

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doing couple of things good I think like

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the format is very restrictive 30 30

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minutes I can get to deep of anything

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but like I can barely touch all of them

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but it's also a good format because no

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one would watch to our podcast and the

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other guest I saw like like very diverse

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like so that is Al something cool uh

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yeah you'll you'll figure

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out yeah figure out no actually my

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main uh so I not like to get views or

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something like subscribers I just want

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to connect with individuals so for

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example I just need subscribers for

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example when I contact with other

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directors like educational system

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directors or Deans team to studing so

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when they will think like yeah this is a

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very small Channel I couldn't just

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connect with

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you I don't get much view so I just need

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subscribers and viewers for this content

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just to contact with the persons to

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bring on yeah that was my main Moto to

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learn something from

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them oh I think you can borrow the

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Playbook of uh you know all these 18

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year 20 year old value US based podcasts

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what they do is like they go online and

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then like they will tweet something

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opinions that are super interesting that

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they will eventually you know like

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resonate with someone and then like they

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will connect the

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folks uh like hey SI is interesting you

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has super opinions he's not hey like let

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me just ask him to come on to this

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channel that is how it will work like we

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not reaching out but like you will you

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uh putting the content out there putting

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your skin in the game then they will be

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like oh damn this person is will go

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places I have to like be on the train

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first early on like that yeah yeah yeah

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yeah nice meeting with you s thanks

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thanks once again for coming conneting

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with me today yeah hope to see you in

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person soon

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then see

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okay

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cool