Tootfinder

Q&A with Airbnb CEO Brian Chesky on Airbnb Experiences, its push into services, OpenAI, AI agents, making decisions at Airbnb, cutting PMs, Jony Ive, and more (Nilay Patel/The Verge)
https://www.theverge.com/decoder-podcast-w

Airbnb CEO Brian Chesky wants to build the everything app
The head of Airbnb on expanding beyond travel, AI and design, and the future of real-world experiences.

Niech ktoś mi wytłumaczy, czemu hotele i airbnb projektują kabiny prysznicowe tak, aby natychmiast zmieniały łazienkę i pokój w park wodny xd
I jakim cudem nikt na żadnych bookingach itp na to nie narzeka? Może to lubią?
A właściciele wiedzą o problemie, bo w kabinie prysznicowej jest standardowy zestaw: żel pod prysznic mop.
I to jeszcze nie jakiś dobry mop do wysuszania podłogi, tylko jakaś nędzna Vileda, którą co najwyżej można wodę poprzesuwać z jednego kąta w drugi x…

Teknologiakritiikin ja -kriitikoiden tarpeesta. Taiteessa on kriitikoilla ja kritiikillä tärkeä rooli. (...) Teknologian maailmassa ei juurikaan ole tuollaista kritiikkiä, vaan arviointi on analyysiä jostain näkökulmasta (...) No niin, voisi miettiä olisiko teknologiakritiikissä ideaa. Se voisi kohdistua suoraan teknologiaan, kuten tekoäly, tai teknologiahypetykseen. Sellaisen sisältöjä jälkimmäisessä tapauksessa olisivat esim.
Jatkuu...

Teknologiakritiikin ja -kriitikoiden tarpeesta. | Matti Vuori
Teknologiakritiikin ja -kriitikoiden tarpeesta. Taiteessa on kriitikoilla ja kritiikillä tärkeä rooli. Kaikkihan nykyään jo tietävät, että taidekritiikki ei ole negatiivista virheiden etsimistä, vaan prosessi ja tuotos, jolla etsitään teoksen olennaisuuksia, laatuja, erityisyyksiä liittämällä se taidelajin historiaan ja nykykenttään, genreihin jne., ymmärtäen taiteilijan pyrkimyksiä, teosten myötä paljastuvaa identiteettiä. Samalla kritiikki itsessään on kriitikon teos …

Elad Gil, backer of Perplexity, Character.AI, Airbnb, Coinbase, and Stripe, invested in Enam Co., which aims to transform businesses with AI via PE roll-ups (Connie Loizos/TechCrunch)
https://techcrunch.com/2025/06/01/early-a…

Early AI investor Elad Gil finds his next big bet: AI-powered rollups | TechCrunch
Elad Gil started betting on AI before most of the world took notice. By the time investors began grasping the implications of ChatGPT, Gil had already

Verifiable Weighted Secret Sharing
Kareem Shehata, Han Fangqi, Sri AravindaKrishnan Thyagarajan
https://arxiv.org/abs/2505.24289 https://

Verifiable Weighted Secret Sharing
Traditionally, threshold secret sharing (TSS) schemes assume all parties have equal weight, yet emerging systems like blockchains reveal disparities in party trustworthiness, such as stake or reputation. Weighted Secret Sharing (WSS) addresses this by assigning varying weights to parties, ensuring security even if adversaries control parties with total weight at most a threshold $t$. Current WSS schemes assume honest dealers, resulting in security from only honest-but-curious behaviour but not …

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
Aravinda Jatavallabha, Prabhanjan Bharadwaj, Ashish Chander
https://arxiv.org/abs/2506.00048

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
Graph Neural Networks (GNNs) are powerful tools for recommendation systems, but they often struggle under data sparsity and noise. To address these issues, we implemented LightGCL, a graph contrastive learning model that uses Singular Value Decomposition (SVD) for robust graph augmentation, preserving semantic integrity without relying on stochastic or heuristic perturbations. LightGCL enables structural refinement and captures global collaborative signals, achieving significant gains over stat…

Controlling the Spread of Epidemics on Networks with Differential Privacy
Dung Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu
https://arxiv.org/abs/2506.00745

Controlling the Spread of Epidemics on Networks with Differential Privacy
Designing effective strategies for controlling epidemic spread by vaccination is an important question in epidemiology, especially in the early stages when vaccines are limited. This is a challenging question when the contact network is very heterogeneous, and strategies based on controlling network properties, such as the degree and spectral radius, have been shown to be effective. Implementation of such strategies requires detailed information on the contact structure, which might be sensitiv…

Energy-dependent temporal study of GX 13 1 with AstroSat observation
Arbind Pradhan, Sree Bhattacherjee, Biplob Sarkar
https://arxiv.org/abs/2507.00626 htt…

Energy-dependent temporal study of GX 13+1 with AstroSat observation
In this work, we performed an energy-dependent study of low-frequency oscillations observed in GX 13+1 using \textit{AstroSat} (Large Area X-ray Proportional Counter and Soft X-ray Telescope). The hardness-intensity diagram (HID) of the observation resembles a `$ν$'-shaped track, while the color-color diagram exhibits a `$<$'-shaped track, similar to the horizontal and normal branches of the Z source. We conducted flux-resolved temporal studies focusing on low-frequency variability and divided…

Netflix's board keeps Jay Hoag as a director after shareholders voted to oust him, and appoints Airbnb CFO and former Netflix exec Ellie Mertz as a new member (Todd Spangler/Variety)
https://variety.com/2025/tv/news/netfl

Netflix Board Rejects Jay Hoag Resignation, Names Ellie Mertz to Board
Netflix's board decided to keep Jay Hoag as a director and is adding Ellie Mertz, Airbnb CFO and former Netflix exec, as a director.

The Promise of Spiking Neural Networks for Ubiquitous Computing: A Survey and New Perspectives
Hemanth Sabbella, Archit Mukherjee, Thivya Kandappu, Sounak Dey, Arpan Pal, Archan Misra, Dong Ma
https://arxiv.org/abs/2506.01737

The Promise of Spiking Neural Networks for Ubiquitous Computing: A Survey and New Perspectives
Spiking neural networks (SNNs) have emerged as a class of bio -inspired networks that leverage sparse, event- driven signaling to achieve low-power computation while inherently modeling temporal dynamics. Such characteristics align closely with the demands of ubiquitous computing systems, which often operate on resource- constrained devices while continuously monitoring and processing time - series sensor data. Despite their unique and promising features, SNNs have received limited attention an…