flâneur

anka hu

20 followers · 15 following · 1170 views

on the atlas — 110

highlights — 387

  • OKC Thunder Championship Pin On June 22, 2025, the Oklahoma City Thunder basketball team won the National Basketball Association Championship by beating the Indiana Pacers in a seven-game series.
    Capsule Contents - America250
  • Avoid unnecessary absolute rules. Older prompts often use strict instructions like ALWAYS, NEVER, must, and only to control model behavior. Use those words for true invariants, such as safety rules, required output fields, or actions that should never happen. For judgment calls, such as when to search, ask for clarification, use a tool, or keep iterating, prefer decision rules instead.
    Prompt guidance | OpenAI API
  • With Fable the spell has gotten powerful enough that I am no longer sure I am the wizard. I am closer to a patron. I describe what I want, I pay for it, and I judge the result. The conjuring happens somewhere I cannot watch, in hundreds of small choices I never get a vote on. The work has shifted from process to outcome. I no longer steer; I commission.
    What it feels like to work with Mythos - by Ethan Mollick
  • We need to erect a much expanded commons on the Internet. We need to realize popular services in a secure, distributed, and decentralized way, powered by free software and free/open hardware. We need to build systems beyond the reach of super-sized companies and spy agencies. Such services must be based on strong cryptography. Emphasizing that prerequisite, we need to expand our cryptographic commons . Dreams for such a commons go back to the cypherpunks, who built remailers, for example, as a communitarian service to enable secure communications. More recently, Feigenbaum and Koenig articulat…
    moral-fn.pdf
  • so packed with clip-art you can hardly find the content.
    moral-fn.pdf
  • see at a different set of problems to work on than if we see things in the other. Whimsical adversaries engender a chimerical field. 184 As a graduate student, I wanted our field to feel fantastical. I wanted a discipline full of space aliens and communicating millionaires. Not only was it fun, but it stroked my ego, effectively embodying the sentiment: I am a scientist too smart to have to deal with small-minded concerns. At this point, I think we would do well to put ourselves in the mindset of a real adversary, not a notional one: the well-funded intelligence agency, the profit- obsessed mu…
    moral-fn.pdf
  • To achieve this aim, computing the hash function shouldn’t just take lots of time, but lots of (sequentially accessed) memory. This insightful idea comes from Abadi, Burrows, Manasse, and Wobber, who wanted to make sure that, for a variety of settings, computing an intentionally-slow hash function on a high-end system would take roughly as long as computing it on a low-end system
    moral-fn.pdf
  • So you grab the p bits at those locations and hash them, along with R , to get a derived key K :
    moral-fn.pdf
  • When a party wants to retrieve his i th message, he’ll interact with the same server, which gives him a string computed from the database contents. The value permits the receiver to recover the intended messag
    moral-fn.pdf
  • If we behave morally, it is not because of rational analyses, but an instinctual preference for liberty, empathy, or companionship. 129 As Schneier points out, animals don’t like to be surveilled because it makes them feel like prey, while it makes the surveillor feel like—and act like—a predator. 1
    moral-fn.pdf
  • f we behave morally, it is not because of rational analyses, but an instinctual preference for liberty, empathy, or companionship. 129 As Schneier points out, animals don’t like to be surveilled because it makes them feel like prey, while it makes the surveillor feel
    moral-fn.pdf
  • As civil-rights attorney Frank Donner and the Church Commission reports thoroughly document, domestic surveillance under U.S. FBI director J. Edgar Hoover served as a mechanism to protect the status quo and neutralize change movements. 116 Very little of the FBI’s surveillance-related efforts were directed at law-enforcement: as the activities surveilled were rarely illegal, unwelcome behavior would result in sabotage, threats, blackmail, and inappropriate prosecutions, instead. For example, leveraging audio surveillance tapes, the FBI’s attempted to get Dr. Martin Luther King, Jr., to kill hi…
    moral-fn.pdf
  • The law-enforcement narrative is wrong to position privacy as an individual good when it is, just as much, a social good. It is equally wrong to regard privacy and security as conflicting values, as privacy enhances security as often as it rubs against it.
    moral-fn.pdf
  • The law-enforcement narrative is wrong to position privacy as an individual good when it is, just as much, a social good. It is equally wrong to regard privacy and security as conflicting values, as privacy enhances security as often as it rubs against it.
    moral-fn.pdf
  • Bob’s secret key is no longer self-selected. It is issued by a trusted authority. That authority knows everyone’s secret key in the system. IBE embeds key escrow— indeed a form of key escrow where a single entity implicitly holds all secret keys—even ones that haven’t yet been issued. And even if you do trust the key- generating authority, a state-level adversary now has an extremely attractive locus to subpoena or subvert
    moral-fn.pdf
  • To work, cryptographic primitives must be embedded into systems, and those systems can realize arrangements of power that don’t trivially flow from the nature of the tool.
    moral-fn.pdf
  • While the defense repeatedly proffered that the accused were simply following orders, this view was almost universally rejected : following orders did not efface legal or moral culpability.
    moral-fn.pdf
  • We appeal, as human beings, to human beings: Remember your humanity, and forget the rest.
    moral-fn.pdf
  • how could it not be a colossal failure of our field when ordinary people lack even a modicum of communication privacy when interacting electronically?
    moral-fn.pdf
  • Writing purely for the AI has no stakes. It’s text without audience, motive, purpose.
    32 notes on AI & writing - by Jasmine Sun - @jasmine
  • Yet neuroscience suggests that memory and imagination are one and the same. As Demis Hassabis’s PhD thesis found, amnesiacs make shoddy novelists.
    32 notes on AI & writing - by Jasmine Sun - @jasmine
  • The way that I think about it is: there’s no other time when you could understand this thing. Devastating problems in your life can also be interesting, and they can interest you as they’re happening to you and as they’re causing you intense pain.
    Agnes Callard’s Marriage of the Minds | The New Yorker
  • It’s just that there’s some way in which philosophy could stand up to the task of making you able to deal with death when it comes.” “The corresponding claim,” Agnes said, “would be that somehow the project of marriage would make you capable of being alone.”
    Agnes Callard’s Marriage of the Minds | The New Yorker
  • She added that, when she and Arnold fought, they could rely on Ben to provide an objective perspective.
    Agnes Callard’s Marriage of the Minds | The New Yorker
  • “It’s a very narrative, novelistic approach to my life, and the only area of my life that I see in such a progressive way is the pursuit of knowledge.” The proof of success or failure is her insights, she said, not the plot of her life.
    Agnes Callard’s Marriage of the Minds | The New Yorker
  • for me loneliness is almost like an internal problem. How can I manage to find reasons to tell the truth? Or how can I make contact with the idea of being honest?”
    Agnes Callard’s Marriage of the Minds | The New Yorker
  • The ineffable wisdom they wrote of—inaccessible to others, because it was so mysterious and private—sounded to Socrates a lot like ignorance, she said. The idea that a marriage should hold space for each person’s incommunicable core, she believed, “comes from this pessimism where it’s, like, Look, at the end of the day we know we can’t really help one another, so the best thing we can do is not interfere too much.”
    Agnes Callard’s Marriage of the Minds | The New Yorker
  • “I’ll be, like, ‘Why can’t we get back to that?’ ” Agnes said. “And Arnold will be, like, ‘That was never there.’ He is offended by my attempt to go back in time. And I feel like he is taking away the foundation of our relationship and telling me that our lives are built on a lie.”
    Agnes Callard’s Marriage of the Minds | The New Yorker
  • prevent positions from attending to subsequent positions.
    1706.03762
  • which performs multi-head attention over the output of the encoder stack
    1706.03762
  • The cross-feature transformation in the wide model component can memorize all those sparse, specific rules, while the deep model component can generalize to similar items via embeddings.
    Wide & Deep Learning: Better Together with TensorFlow
  • how the co-occurrence of a query-item feature pair correlates with the target label (whether or not an item is consumed)
    Wide & Deep Learning: Better Together with TensorFlow
  • preference-aware mask based on self-attention for
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • Instead, they discretize the elapsed time between interactions at the log scale, and represent it as a categorical feature embedding.
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • While BERT used MLM as a pre-training phase to learn words representation vectors and then fine-tuned the pre- trained model for downstream tasks evaluation, BERT4Rec used MLM as an end-to-end task for training and evaluation.
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • ecause this approach leaks future information on training, they ensured that during inference only the last item of the sequence is masked, making it compatible with the next-click prediction task.
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • utilizing the self-attention mechanism to infer the item-item relationship from the user’s historical interactions and estimate weights of each item in the user’s trajectories.
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • The evaluation of sequential recommendation and session-based recommendation is performed using traditional Top-N ranking met- rics such as NDCG@N, Recall@N, Precision@N, MAP@N,
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • he set of items in recommender systems is often very large and fast training of a scalable model is important
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • to learn item, user or context embeddings by taking their co-occurrence into account within the users’ history of interactions.
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • which explicitly model sequences of user interactions to better infer preference or context changes over time. In a number of these settings only the most recent interactions are available, and in all domains for fresh or anonymous users only the interactions from the current user session are available.
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • in next-click prediction for user sessions, where sequence lengths are much shorter than those commonly found in NLP,
    Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
  • Sometimes I show up at dinner thinking, what are we going to talk about? But we always have something to talk about. I am on your side during the good times and the bad. The people you hate are the people I hate. I love when you send me crazy emails and crazy texts and when you call me at weird times. I would never let anyone say a single bad thing about you in front of me. Only I am allowed to complain about you. And our other friends who love you, because you have to love someone before you’re allowed to hate them.
    always on your side - by Ava - bookbear express
  • The computational complexity of our preprocessing phase is dominated by the public-key operations, we need O ( n 2 /s ) operations per secure multiplication
    535.pdf
  • work done by each player is only a small constant factor larger than what one would need to compute the circuit in the clear.
    535.pdf
  • they are allowed to handshake on arbitrary orders, not just ones that have been registered in your wallet.
    Super Relayers | Renegade
  • This allows the relayer to view, match, and settle your trades, but does not allow the relayer to place new trades or cancel old ones. To update orders, you must mutate the wallet itself with your root keypair.
    Super Relayers | Renegade
  • VALID MATCH MPC has been computed, either party can submit it to the smart contract, thereby actually swapping the tokens. Instead of just running matching engine execution directly, collaborative proving gives both parties assurance that matching (i.e., determining what tokens are swapped) is atomic with settlement (i.e., actually swapping the tokens).
    The MPC-ZKP Architecture | Renegade
  • the relayers to collaboratively prove a particular NP statement, VALID MATCH MPC. This statement essentially claims that given the publicly-known commitments to order information and a public commitment to a matches tuple, both traders do indeed know valid input orders.
    The MPC-ZKP Architecture | Renegade
  • If either party could learn the MPC output and hangup the connection before actually swapping tokens, then the protocol would leak order information.
    The MPC-ZKP Architecture | Renegade