Amber Grewal

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Amber Grewal

Amber Grewal

@AmberGrewal

Talent Leader, Change Agent, Innovator , Strategic Big Thinker, - Making great things happen.

San Francisco, CA Katılım Eylül 2014
218 Takip Edilen657 Takipçiler
Amber Grewal
Amber Grewal@AmberGrewal·
Verifiability is a powerful way to explain the early phase of AI automation but it won’t fully describe the middle or later phases. It’s a first-order principle, not a sufficient one. As agents debate, simulate outcomes, call tools, and self-audit,they start creating their own verifiability collapsing some of today’s boundaries.
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Andrej Karpathy
Andrej Karpathy@karpathy·
Sharing an interesting recent conversation on AI's impact on the economy. AI has been compared to various historical precedents: electricity, industrial revolution, etc., I think the strongest analogy is that of AI as a new computing paradigm (Software 2.0) because both are fundamentally about the automation of digital information processing. If you were to forecast the impact of computing on the job market in ~1980s, the most predictive feature of a task/job you'd look at is to what extent the algorithm of it is fixed, i.e. are you just mechanically transforming information according to rote, easy to specify rules (e.g. typing, bookkeeping, human calculators, etc.)? Back then, this was the class of programs that the computing capability of that era allowed us to write (by hand, manually). With AI now, we are able to write new programs that we could never hope to write by hand before. We do it by specifying objectives (e.g. classification accuracy, reward functions), and we search the program space via gradient descent to find neural networks that work well against that objective. This is my Software 2.0 blog post from a while ago. In this new programming paradigm then, the new most predictive feature to look at is verifiability. If a task/job is verifiable, then it is optimizable directly or via reinforcement learning, and a neural net can be trained to work extremely well. It's about to what extent an AI can "practice" something. The environment has to be resettable (you can start a new attempt), efficient (a lot attempts can be made), and rewardable (there is some automated process to reward any specific attempt that was made). The more a task/job is verifiable, the more amenable it is to automation in the new programming paradigm. If it is not verifiable, it has to fall out from neural net magic of generalization fingers crossed, or via weaker means like imitation. This is what's driving the "jagged" frontier of progress in LLMs. Tasks that are verifiable progress rapidly, including possibly beyond the ability of top experts (e.g. math, code, amount of time spent watching videos, anything that looks like puzzles with correct answers), while many others lag by comparison (creative, strategic, tasks that combine real-world knowledge, state, context and common sense). Software 1.0 easily automates what you can specify. Software 2.0 easily automates what you can verify.
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Amber Grewal
Amber Grewal@AmberGrewal·
The People You Surround Yourself With Shape Your World We often hear the saying, "You are the average of the five people you spend the most time with." But what does this really mean for our daily lives, our mindset, and our personal growth? 1. Mindset Matters: The energy and attitudes of those around us are contagious. When you're with individuals who are positive, goal-oriented, and supportive, you'll find yourself naturally adopting a similar outlook. Their optimism can fuel your own ambitions, making challenges seem like opportunities. 2. Expansion over Limitation: Engaging with people who challenge your ideas, introduce new perspectives, or share knowledge, pushes you to grow. This intellectual stimulation is like mental gym exercise, helping you expand your views and capabilities. 3. Emotional Uplift: Positive company doesn't just boost your mood; it can enhance your emotional intelligence. Being around people who uplift rather than drain you fosters an environment where you feel safe to express yourself, learn from others, and develop empathy. 4. Behavioral Reflection: We mimic behaviors, often subconsciously. Surround yourself with those who exhibit the traits you admire, and you'll find these traits reflecting in you. Whether it's discipline, kindness, or resilience, proximity to these qualities encourages their development within us. 5. Opportunities and Networks: The people you associate with can open doors. From career opportunities to new experiences, your network is often your net worth. Being around those who are proactive can lead to mutual growth and shared success. So, why is this important? Because who we choose to spend our time with isn't just about companionship; it's about crafting the life we want to live. If you find yourself feeling drained, it might be time to audit your circle. Aim for a group that not only supports you but also inspires you to be your best self. Surround yourself with sunlight, not shadows. Let the light of positive, expansive minds illuminate your path, and watch how your world transforms. How are the people you are around making you feel?
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Amber Grewal
Amber Grewal@AmberGrewal·
Love transcends all—binding us in family, partnership, community, and spirituality. It's the force that heals, unites, and empowers us to move forward together. In love, we find our common humanity. #LoveUnites #HumanityFirst 🌍❤️
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Amber Grewal
Amber Grewal@AmberGrewal·
Taking a moment to truly listen and understand others isn't just empathy; it's innovation. By tuning into the collective, we not only enrich our lives but also fuel our productivity and creativity. #ListenToConnect #InnovationThroughUnderstanding"
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Amber Grewal
Amber Grewal@AmberGrewal·
Generative AI is revolutionizing industries—expected to add $7 trillion to the global economy by 2030. But with this power comes responsibility. How we harness AI alongside human creativity will define the next decade. Are we ready to lead in this GenAI era? #GenAI #FutureOfWork #Innovation #HumanCapital
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Amber Grewal
Amber Grewal@AmberGrewal·
Decoding Global Talent, Onsite, and Virtual showcases thoughtful findings of a new survey of almost 209,000 people in 190 countries that shows a very different set of attitudes toward mobility than the one that prevailed a few years ago. lnkd.in/g8hPBui
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Amber Grewal retweetledi
Boston Consulting Group
The fight for racial equity is an ongoing battle; we commit to holding ourselves accountable in that fight.
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Amber Grewal
Amber Grewal@AmberGrewal·
At the current rate of progress, the global gender gap will take 108 years to close and economic gender parity will take 202 years to achieve. We must make this change we want to see. #BeTheChange
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Amber Grewal
Amber Grewal@AmberGrewal·
I’m constantly inspired by my colleagues and the good they do both in and outside of work. Meet Rachael, a principal engineer who balances circuit design with supporting LGBTQ+ rights. Learn how you could join our #inclusive team: intel.ly/2QBTwr3 #IAmIntel
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Amber Grewal
Amber Grewal@AmberGrewal·
International Women’s Day is important to me because of my two daughters.  I want them to grow up in a world where they believe anything is possible, which is the gift that my mother gave me. #IWD19
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Amber Grewal
Amber Grewal@AmberGrewal·
Talent leadership summit 2019. Amazing group of talent solving some of the toughest talent challenges. #talentfirst #intelHR anything is possible!
Amber Grewal tweet mediaAmber Grewal tweet mediaAmber Grewal tweet mediaAmber Grewal tweet media
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Martin Hallworth
Martin Hallworth@MartinHallworth·
@AmberGrewal can't open this link? An error occurred while processing your request. Reference #50.35e41602.1548775747.6c96dd0
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