Pranav Kanchi
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on the atlas · 34
- Software Has Made Us Soft - by Nikunj Kothari1 savers
- 2024 AGM Meritech Market Section (External).pdf - Google Drive1 savers
- Pranav's Bookshelf / Curius1 savers
- Letter to a friend who may start a new investment platform - Graham Duncan Blog11 savers
- What's going on here, with this human? - Graham Duncan Blog49 savers
- ChatGPT | OpenAI1 savers
- LangChain AI Handbook | Pinecone1 savers
- Red teams. Training AI systems to avoid… | by Paul Christiano | AI Alignment2 savers
- Meet Claude: Anthropic’s Rival to ChatGPT | Blog | Scale AI1 savers
- Stanford Alpaca Model Release4 savers
- TMT Insights GP Bullhound1 savers
- Amazon Founder Jeff Bezos: This Is How Successful People Make Such Smart Decisions | Inc.com2 savers
- How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | Medium2 savers
- Quantum computing for the very curious52 savers
- A student's dream: hacking (then fixing) Gradescope's autograder - Aditya's Blog5 savers
- The Wilderness Period. Can Your SaaS Startup Cross the Penny… | by David Sacks | Craft Ventures | Medium1 savers
- Aleo: Can You Keep a Secret?2 savers
- The way SoftBank invests in startups just doesn’t work, says Khosla Ventures’ Keith Rabois - Vox2 savers
- The Future Is Federated (Learning) » Nicole (Williams) Ruiz1 savers
- "bubbles are good, because they leave productive infrastructure in their wake" a tweer1 savers
- Who Owns the Generative AI Platform? | Andreessen Horowitz5 savers
- "20 things I wish I could tell my 18-year-old self:" / Twitter1 savers
- Enterprises vs SMBs - Bottom Up by David Sacks3 savers
- The Illusion of Knowledge6 savers
- Resources — Banking at Michigan1 savers
- Joshua's World - landing.love1 savers
- inovo_erc721_pbt.pdf1 savers
- Cranking The Learning Machine Up To 111 savers
- Jump Executes Counter Exploit Against Wormhole Exploiter | Blockworks Research1 savers
- Curius / Bookmarks for the extremely curious190 savers
- Curius / Onboarding2704 savers
- transformer_attention.pdf23 savers
- gpt-4.pdf13 savers
- Constitutional AI: Harmlessness from AI Feedback5 savers
highlights · 101
Vista Private Equity has a strategy of buying software businesses and then firing the more expensive, senior software sales people and hiring younger, cheaper ones using Insights Discovery’s ability to successfully identify good sales people (Insights Discovery is based on Jungian archetypes).
What's going on here, with this human? - Graham Duncan Blogwhat’s a system or game you’ve hacked in the last year?
What's going on here, with this human? - Graham Duncan BlogResourcefulness is the single most important competency, so here’s my advice: look for evidence of Resourcefulness 100% of the time as you evaluate candidates.
What's going on here, with this human? - Graham Duncan BlogFor instance in the investment management context, often a portfolio manager will run a large idea by their boss and subtle reactions (a raised eyebrow, a long pause) will cause them to actually size the position smaller. That constant tension is constructive, and if you take the portfolio manager out of that container they will not perform in the same way in the absence of the tension.
What's going on here, with this human? - Graham Duncan BlogHow much of their success depends on the water in the first ecosystem? Was there someone there who believed in them that set a positive feedback loop in motion that may not persist across systems?
What's going on here, with this human? - Graham Duncan Blogwhen you saw some older person doing an activity and you intuited that they were wired the same way you were, and you said to yourself ‘I want to be that’
What's going on here, with this human? - Graham Duncan BlogImagine that you want to show another person how a window can also function like a mirror. As it happens, your friend has never seen this effect and is quite skeptical of your claims. You direct her attention to the largest window in your house, and although the conditions are perfect for seeing her reflection, she immediately becomes captivated by the world outside. What a beautiful view! Who are your neighbors? Is that a redwood or a Douglas fir? You begin to speak about there being two views and about the fact that your friend’s reflection stands before her even now, but she notices only th…
What's going on here, with this human? - Graham Duncan BlogIt can be useful, when interviewing someone, to take Rumelt’s cue and ask explicitly: what’s going on here with this person in front of me?
What's going on here, with this human? - Graham Duncan BlogThe philosopher Kwame Appiah writes that “in life, the challenge is not so much to figure out how best to play the game; the challenge is to figure out what game you’re playing.”
What's going on here, with this human? - Graham Duncan BlogType 1: Almost impossible to reverse. Bezos calls them "one-way doors." Think selling your company. Or quitting a job. In short, figuratively jumping off a cliff. Once you make a Type 1 decision, there's no going back. Type 2: Easy to reverse. Bezos calls these decisions "two-way doors." Like starting a side hustle. Or offering a new service. Or introducing new pricing schemes. While Type 2 decisions might feel momentous, with a little time and effort (often a lot less than you think) they can be reversed.
Amazon Founder Jeff Bezos: This Is How Successful People Make Such Smart Decisions | Inc.comCheck in with them often, and spend time investing in them as people outside of the work they are directly responsible for. Find out what makes them tick. If your employees feel like you have their back, they can focus on what’s ahead.
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumIkigai is a Japanese concept that defines the intersection between that which you love, what which you are good at, what which the world needs, and that which you can be paid for.
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | Mediumexecution is what matters
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | Mediumhis requires being comfortable making decisions under uncertainty. There are many frameworks here — like defining Type 1 vs. Type 2 decisions. The most important strategy is pushing decision making to the lowest level of the organization as possible.
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumHave extremely focused goals and agendas. Avoid recurring meetings other than decision making meetings like sprint planning
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumReward impact, not politics. This is much simpler to state than implement — but it’s worth stating nonetheless.
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumBeing a pacemaker is tiring and provides leverage for the rest of the team who can simply follow. Assign pacemaker duties to the most driven and organized individual on the team
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumMake each individual understand how their effort contributes to the company’s success and therefore their success. If you can’t, it likely means the work is not important — cut it out.
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumWhile we are all born to run, some of us were born to run faster.
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumSimply put, having the best product is not a competitive advantage. Everything can, and will, be bested. Having the best product development velocity and culture is what it’s all about.
How to Increase Product Velocity. In today’s startup environment, speed… | by Geoff Charles | MediumEinstein was right: the fact that the world is comprehensible at all is a miracle.
Quantum computing for the very curiousYet exploring such radical counterfactuals is often an excellent strategy for better understanding our own universe.
Quantum computing for the very curiousBut there’s no a priori logical reason there should be a single machine that can efficiently simulate every other physical system. It’s like being able to use your car also as a surfboard, a supermarket trolley, and a rainforestIn fact, there’s a sense in which this is possible, within limits: if you could rearrange protons, neutrons, and electrons arbitrarily well, you could turn a car into a surfboard, a supermarket trolley, or a (small) part of a rainforest. So matter does have intriguing universality properties. This is also remarkable, of course.. Yet the evidence so far suggests our univ…
Quantum computing for the very curiousGeneral relativity supports the existence of closed timelike curves, which can be used in some sense to send information back in time. This has interesting consequences for computation: there’s a way in which the computer can know the results of future computations
Quantum computing for the very curiousModern physics is based on two astonishingly effective theories: Einstein’s general theory of relativity, which describes how gravitation works; and the standard model of particle physics, which explains how pretty much everything else (electromagnetism, the strong and weak nuclear forces) work.
Quantum computing for the very curiousPeter Shor’s beautiful quantum factoring algorithm
Quantum computing for the very curiousThere are also much more exotic variations, ideas such as measurement-based quantum computation, topological quantum computation, and others.
Quantum computing for the very curiousWe can summarize the three steps in a quantum computation as follows: Start in a computational basis state. Apply a sequence of CNOT and single-qubit gates. To obtain the result, measure in the computational basis. The probability of any result, say 00 … 0 00…0, is just the square of the absolute value of the corresponding amplitude.
Quantum computing for the very curiousThe � m is a classical bit denoting the measurement result – either 0 0 or 1 1 – and we use the double wire to indicate the classical bit � m going off and being used to do something else.
Quantum computing for the very curiousOne reason this is important is because it means you can’t store an infinite amount of classical information in a qubit. After all, � α is a complex number, and you could imagine storing lots of classical bits in the binary expansion of the real component of � α. If there was some experimental way you could measure the value of � α exactly, then you could extract that classical information. But without a way of measuring � α that’s not possible.
Quantum computing for the very curiousSuppose a qubit is in the state � ∣ 0 ⟩ + � ∣ 1 ⟩ α∣0⟩+β∣1⟩. When you measure this qubit in the computational basis it gives you a classical bit of information: it gives you the outcome 0 0 with probability ∣ � ∣ 2 ∣α∣ 2 , and the outcome 1 1 with probability ∣ � ∣ 2 ∣β∣ 2 .
Quantum computing for the very curiousmeasurement in the computational basis
Quantum computing for the very curiousTo put it a slightly different way, the quantum state of any system – whether it be a qubit or a some other system – is not directly observable.
Quantum computing for the very curiousBy expanding the range of states we can access (or, more precisely, the range of dynamical operations we can generate) beyond what’s possible on a classical computer, it becomes possible to take shortcuts in our computation.
Quantum computing for the very curiousmuch work on quantum computing is about attempting to develop ways of moving from low levels of abstraction to higher, more conceptual levels.
Quantum computing for the very curiousThe reason is that quantum states are often incredibly fragile. If your qubit is being stored in some tiny system – perhaps a single photon or a single atom – then it’s very, very easy to disturb that state. It really doesn’t take much to upset an atom or a photon. And so while quantum wires are mathematically trivial, they can be one of the hardest elements to build in real systems.
Quantum computing for the very curiousThere’s a third representation for the � X gate that’s worth knowing about, a representation as a 2 × 2 2×2 matrix:
Quantum computing for the very curiousA quantum logic gate is simply a way of manipulating quantum information, that is, the quantum state of a qubit or a collection of qubits. They’re analogous to the classical logic gates used in ordinary, everyday computers – gates such as the AND, OR, and NOT gates.
Quantum computing for the very curiousSumming up all these ideas in one sentence: the quantum state of a qubit is a vector of unit length in a two-dimensional complex vector space known as state space.
Quantum computing for the very curiousOne of the most common terms is superposition. People will say a state like 0.6 ∣ 0 ⟩ + 0.8 ∣ 1 ⟩ 0.6∣0⟩+0.8∣1⟩ is a superposition of ∣ 0 ⟩ ∣0⟩ and ∣ 1 ⟩ ∣1⟩. All they mean is that the state is a linear combination of ∣ 0 ⟩ ∣0⟩ and ∣ 1 ⟩ ∣1⟩. You may wonder why they don’t just say “linear combination” (and sometimes they do), but the reason is pretty much the same reason English-speakers say “hello” while Spanish-speakers say “hola” – the two terms come out of different cultures and different histories.
Quantum computing for the very curiousAnother common term is amplitude. An amplitude is the coefficient for a particular state in superposition. For instance, in the state 0.6 ∣ 0 ⟩ + 0.8 ∣ 1 ⟩ 0.6∣0⟩+0.8∣1⟩ the amplitude for ∣ 0 ⟩ ∣0⟩ is 0.6 0.6, and the amplitude for ∣ 1 ⟩ ∣1⟩ is 0.8 0.8.
Quantum computing for the very curiousthey’re complex vectors, that is, they can have complex numbers as entries
Quantum computing for the very curiousThis special state ∣ 0 ⟩ ∣0⟩ is called a computational basis state.
Quantum computing for the very curiousit’s best to regard ∣ 0 ⟩ ∣0⟩ as a single symbol, standing for a single mathematical object – that vector we just saw above, [ 1 0 ] [ 1 0 ]. The ∣ ∣ and ⟩ ⟩ don’t really have separate meanings except to signify this is a quantum state
Quantum computing for the very curiousThis notation with ∣ ∣ and ⟩ ⟩ is called the ket notation, and things like ∣ 0 ⟩ ∣0⟩ are called kets. But don’t be thrown off by the unfamiliar terminology – a ket is just a vector, and when we say something is a ket, all we mean is that it’s a vector.
Quantum computing for the very curiousMaybe the state of the qubit is being stored somehow on an electron, or a photon, or an atom
Quantum computing for the very curiousIn a manner similar to the way conventional computers are made up of bits, quantum computers are made up of quantum bits, or qubits. Just like a bit, a qubit has a state. But whereas the state of a bit is a number ( 0 0 or 1 1), the state of a qubit is a vector. More specifically, the state of a qubit is a vector in a two-dimensional vector space. This vector space is known as state space. For instance, here’s a possible state for a qubit:
Quantum computing for the very curiousbit as an abstract entity, whose state is 0 0 or 1 1
Quantum computing for the very curiousbits are most likely stored as tiny electric charges on nanometer-scale capacitors (i.e., little reservoirs of charge), just above the surface of the chip
Quantum computing for the very curiousIts adherents generally believe you can’t know the future; you don’t have to know the future; and the proper goal is to do the best possible job of investing in the absence of that knowledge.
The Illusion of Knowledge