Jennifer Zhao
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on the atlas — 130
- College Is Coming Apart - The Atlantic3 savers
- Provable Benefits of Representational Transfer inReinforcement Learning1 savers
- Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling1 savers
- banteg on X: ">be me >discover effective altruism >apparently normal charity is inefficient >why donate to random sad thing when spreadsheet can tell you optimal sad thing >fair enough >buy mosquito nets >save lives >numbers look good >feel powerful >couple years later >someone asks an" / X1 savers
- CAD Arena · Normal Research1 savers
- Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization1 savers
- Principal–agent problem4 savers
- Write the Paper First2 savers
- rtmccoy.com/posts/theory_of_mind.html2 savers
- Robot-use agents5 savers
- My PhD Grind (1): - Jinyan1 savers
- Contrastive Learning as Goal-Conditioned Reinforcement Learning1 savers
- Decoupling Representation Learning from Reinforcement Learning1 savers
- A Free Lunch from the Noise:Provable and Practical Exploration for Representation Learning1 savers
- Data-driven Inverse Kinematics using Laban Movement Analysis - ScienceDirect1 savers
- Task-Optimal Exploration in Linear Dynamical Systems1 savers
- Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement Learning1 savers
- First return, then explore | Nature1 savers
- Bang–bang control1 savers
- Completeness, Ancillarity, and Basu’s Theorem1 savers
- Sufficiency1 savers
- Robust Regression for Safe Exploration in Control1 savers
- Kinematic pair1 savers
- Generating Robot Hands from Human Demonstrations1 savers
- 2026 Fields and Abacus Medals | Quanta Magazine1 savers
- Our Community | The Institute1 savers
- How Claude Performs on Robotics Tasks \ Anthropic6 savers
- Understanding Trigger-Action Programs Through Novel Visualizations of Program Differences1 savers
- There’s no speed limit56 savers
- Our Plastic-Surgery Nightmare | The New Yorker1 savers
- Hyperland1 savers
- Can You Just Do Things?—Asterisk16 savers
- Why China got rich and India didn't - David Oks17 savers
- The independent writer’s advantage in the age of AI1 savers
- The Running Novelist | The New Yorker2 savers
- Shrew (stock character)1 savers
- Ch. 23 - Multi-Body Dynamics1 savers
- The Blobby, Drippy Maximalist Design You’re Seeing Everywhere - The New York Times3 savers
- Understanding Sensor Interfaces - UART, I2C, SPI and CAN1 savers
- Gompertz–Makeham law of mortality1 savers
- Craquelure1 savers
- principles - Nabeel S. Qureshi41 savers
- Wabi-sabi1 savers
- 9 Open Problems and Directions about Intelligence1 savers
- What happens if you put .gitignore into a .gitignore file? : r/shittyprogramming1 savers
- Hysteresis4 savers
- Alex Tamkin - Tips for New Researchers3 savers
- Homography1 savers
- Perspective-n-Point1 savers
- IKEA effect2 savers
- Learn to love the Moat of Low Status - by Cate Hall5 savers
- Why Are There So Many Rationalist Cults?—Asterisk7 savers
- Uses This / Interviews3 savers
- Were classical statues painted horribly? - Works in Progress Magazine4 savers
- The roots of female emancipation: Initializing role of Cool Water - ScienceDirect1 savers
- Oscillating hypothyroidism and hyperthyroidism – a case-based review - PMC1 savers
- Photos: Reclaimed by Nature - The Atlantic1 savers
- I Hate Jim Halpert - by The Philosopher Historian1 savers
- Tracing the thoughts of a large language model \ Anthropic18 savers
- (Data ∩ Water) Terms. All at sea, exploring the data… | by Pardis Noorzad | Medium1 savers
- Sardines and anchovies cycle with climate | Nature1 savers
- Talk:Sweet corn1 savers
- Sweet corn1 savers
- Mind Everywhere: A Framework for Conceptualizing Goal-Directedness in Biology and Other Domains—Part One | Biological Theory | Springer Nature Link1 savers
- Real-time inference for robots at Physical Intelligence1 savers
- cogtoolslab.github.io/pdf/hertzmann_paca_2026.pdf1 savers
- Heuristically Adaptive Diffusion‐Model Evolutionary Strategy - Hartl - Advanced Science - Wiley Online Library1 savers
- How to Explore to Scale RL Training of LLMs on Hard Problems? – Machine Learning Blog | ML@CMU | Carnegie Mellon University1 savers
- Animating Agency: Robots, Humans, and the Art of Unexpected Roles | animationstudies 2.01 savers
- A Model of Biological Motion Perception from Configural Form Cues - PMC1 savers
- Biological motion perception in the theoretical framework of perceptual decision-making: An event-related potential study - ScienceDirect1 savers
- Ch. 21 - Imitation Learning2 savers
- How Browsers Work1 savers
- The Bay Area is cursed - by Sasha Chapin3 savers
- Josh Safdie on Marty Supreme: ‘One dream has to end for another to begin’ | Dazed2 savers
- Some thoughts on writing6 savers
- The Market for Lemons - Wikipedia4 savers
- AI makes the humanities more important, but also a lot weirder2 savers
- Your Courses | Gradescope3 savers
- Twilight | ContraPoints - YouTube3 savers
- Why Success Won't Make You Happy - The Atlantic3 savers
- Curius / Onboarding2621 savers
- The Bitter Lesson78 savers
- 95%-ile isn't that good44 savers
- Calvin and Hobbes at Martijn's - Bill Watterson30 savers
- Impact, agency, and taste | benkuhn.net30 savers
- Face it: you're a crazy person - by Adam Mastroianni27 savers
- Why We Think | Lil'Log25 savers
- why are we lying to young people about work? - by Maalvika24 savers
- Principles of Effective Research | Michael Nielsen23 savers
- The Third Thing by Donald Hall | Poetry Magazine21 savers
- Circuit Tracing: Revealing Computational Graphs in Language Models20 savers
- How to make friends over the internet20 savers
- Asymmetry of verification and verifier’s law — Jason Wei15 savers
- IMG_000114 savers
- Find Your People - Jessica Livingston12 savers
- Don't End The Week With Nothing11 savers
- What every computer science major should know11 savers
- Project Vend: Can Claude run a small shop? (And why does that matter?) \ Anthropic11 savers
- Open Syllabus: Galaxy11 savers
highlights — 1524
The design term discourages unnecessarily long links and, for mimic-joint hands, regularizes the linkage parameters.
Generating Robot Hands from Human Demonstrationsbut it cannot remove the underlying kinematic mismatch introduced by the chosen embodiment.
Generating Robot Hands from Human Demonstrationswe optimize robot hands so that human thumb-index fingertip motions are reproducible under inverse kinematics, rather than learning a separate complex policy for every candidate design.
Generating Robot Hands from Human DemonstrationsChanging the geometry of a hand changes the controller that best fits a motion, and changing the controller changes which designs appear useful.
Generating Robot Hands from Human Demonstrationsthe body determines what motions are reachable, what contacts are stable, what forces can be transmitted, and which behaviors are easy or difficult to realize
Generating Robot Hands from Human DemonstrationsOlder Claude models perform better when images are replaced with text descriptions, which indicates that they have trouble reading enough precise spatial detail from pixels alone.
How Claude Performs on Robotics Tasks \ AnthropicNearly all models performed worse when training an RL policy than they did when creating a Pythonic controller.
How Claude Performs on Robotics Tasks \ Anthropicraise models’ manipulation performance far above direct control
How Claude Performs on Robotics Tasks \ Anthropictasks that require stable spatial memory, self-localization, or long open-loop plans.
How Claude Performs on Robotics Tasks \ AnthropicA factor is any element relevant to the smart home system, including smart devices, the users, and the environment (e.g., weather, time of day). An attribute is an aspect of a factor. Example attributes of a user are whether they are asleep and whether they are at home. We will refer to the pair of a factor and an attribute as a variable (e.g., “whether the front door is locked” and “whether Alice is asleep”). A state is a statement that is true about the variable over some period of time (e.g., “Alice is asleep”), while an event is an instantaneous change in the variable's state (e.g., “Alice…
Understanding Trigger-Action Programs Through Novel Visualizations of Program Differencesit has been reconfigured as a consumer guide and a disciplinary manual
Our Plastic-Surgery Nightmare | The New Yorkerhe posted an unselfconsciously tragic prompt—“She smiles and says ‘I will always love you’ ”
Our Plastic-Surgery Nightmare | The New Yorkerthat essentially self-interested actions can be part of a progressive journey toward personal actualization
Our Plastic-Surgery Nightmare | The New Yorkerwhich broadcast to millions of women the tantalizing idea that enriching yourself could be, in itself, a feminist act.
Our Plastic-Surgery Nightmare | The New Yorkercan only develop in the absence of real intimacy, of regular exposure to women in their actual natural state.
Our Plastic-Surgery Nightmare | The New Yorkerin perpetual psychological reference to other putatively straight men.
Our Plastic-Surgery Nightmare | The New Yorkerit is disembodied attention, mediated by the screen, that many young people, both men and women, seem to eroticize today.
Our Plastic-Surgery Nightmare | The New Yorkeromething typically said before another act of perpetuating the system identified as unjust.
Our Plastic-Surgery Nightmare | The New YorkerThe idea that intelligence is not what matters — because intelligence is becoming cheap — is growing.
Can You Just Do Things?—AsteriskThe influence of interest groups (like a traditional landowning class) over policies is real and often sustains cycles that are hard to break.
Why China got rich and India didn't - David Okseven today, India’s elite technical universities receive the majority of government funding for higher education, while educating only 2.6 percent of the university population.
Why China got rich and India didn't - David OksBetween 1999 and 2016, dowry-related murders accounted for 40 to 50 percent of all female homicides recorded in India.
Why China got rich and India didn't - David OksAnd companies are also getting much smaller because one person at the very early stages can be their own data scientist, programmer, marketer all at the same time.
The independent writer’s advantage in the age of AIthey want to see all the proof of work behind it.
The independent writer’s advantage in the age of AIThere are all these details and tacit knowledge that you only know by doing, that AI hasn’t had access to yet because it’s just not in the data.
The independent writer’s advantage in the age of AII simply had the idea to be one, and that’s what I did.
The Running Novelist | The New Yorker“I always use the term ‘the Sweetgreenificiation of Manhattan,’” he said. “Everything was designed to look like an app.”
The Blobby, Drippy Maximalist Design You’re Seeing Everywhere - The New York TimesCAN bus signaling works via the differential voltage between the CAN-H and CAN-L lines, each of which idles at 2.5V.
Understanding Sensor Interfaces - UART, I2C, SPI and CANThis additional expense and circuit complication often means this protocol is pushed aside in favor of other options.
Understanding Sensor Interfaces - UART, I2C, SPI and CANToday many applications for UART have been replaced by technologies like USB and Ethernet, but UART is still very much in use for many short-distance applications.
Understanding Sensor Interfaces - UART, I2C, SPI and CANThus, in this example, the probability of being alive at 60 is Pr ( 𝑋 > 60 ) = 𝑆 ( 60 ) ≈ 0.89 , and the probability of having died before 60 is 𝐹 ( 60 ) = 1 − 𝑆 ( 60 ) ≈ 0.11.
Gompertz–Makeham law of mortalityItalian painters usually used a thin ground surface, which led to their work developing skinny, thin cracks, while French painters have swirling cracks because of a much thicker ground surface.
CraquelureReality is endlessly surprising.
principles - Nabeel S. Qureshiif you can get by being average, you probably will.
principles - Nabeel S. QureshiThe field of user interface design has borrowed the term hysteresis to refer to times when the state of the user interface intentionally lags behind the apparent user input.
HysteresisHysteresis is the dependence of the state of a system on its history.
HysteresisAs all the projective spaces of the same dimension over the same field are isomorphic, the same is true for their homography groups. They are therefore considered as a single group acting on several spaces, and only the dimension and the field appear in the notation, not the specific projective space.
HomographyPerspective-n-Point[1] (PnP) is the problem of estimating the pose of a camera given a set of n 3D points in the world and their corresponding 2D projections in an image. The camera pose consists of 6 degrees of freedom (DOF) which are made up of the rotation (roll, pitch, and yaw) and 3D translation of the camera with respect to an origin point in the world.
Perspective-n-Pointpeople often engage in theoretical learning even in domains where experiential learning is obviously faster.
Learn to love the Moat of Low Status - by Cate HallThere is no reason to posit that ancient Europeans had tastes radically unlike ours to explain our dislike of the reconstructions.
Were classical statues painted horribly? - Works in Progress MagazineAs a result, we internalized a deep-seated attachment to an unblemished white image of Greek and Roman art. We became, to use David Bachelor’s term, chromophobes.
Were classical statues painted horribly? - Works in Progress MagazineCool Water areas still exhibit later female marital ages and more gender equality.
The roots of female emancipation: Initializing role of Cool Water - ScienceDirectsees the transition to agriculture in and by itself as the origin of greater gender inequality
The roots of female emancipation: Initializing role of Cool Water - ScienceDirectThis indicates that the model is using the intermediate step to determine its answer.
Tracing the thoughts of a large language model \ AnthropicThat you are special simply for being unremarkable, or that playing it safe is more virtuous than taking risks and failing. Finally, that being socially adjusted is more important than having fun and aspiring to greatness.
I Hate Jim Halpert - by The Philosopher Historianthat is shared between languages, suggesting it has a kind of universal “language of thought.”
Tracing the thoughts of a large language model \ Anthropichow to mechanize the dough-kneading process, a process that takes a master baker years of practice to perfect.
Tacit knowledgetacit knowledge can only be acquired through practical experience in the relevant context.
Tacit knowledgeThere is a wealth of discussion about whether data is more like oil or water.
(Data ∩ Water) Terms. All at sea, exploring the data… | by Pardis Noorzad | MediumLikewise, if you want to "verify" that corn can also be used in salads, just look in Wikipedia for the entry salad!
Talk:Sweet corn