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travle_challenge

Travle Challenge: Weekly bonus Travle challenges

Problem Framing

Explore a problem space and formulate a robust problem statement to ensure you’re solving the right problem. Time: 45+minutes Group Size: 2+ people Level: Intermediate

The Wolfram S Combinator Challenge

Wolfram is offering a total of $20,000 in prize money to determine if the S combinator is universal. Statement of problem to be solved, full guidelines, committee of judges and submission guidelines.

STAMINA Working Group

STAMINA Working Group - Social Tech And ModellIng for kNowledge & Action

Feedbackmaxxing

You know the TV gameshow Play Your Cards Right? Contestants are shown a sequence – in two rows – of giant playing cards presented face-down. The host turns over the first card. The cont…

Quality Wednesdays: How we trained our team to see what doesn’t work - Linear

In early 2023 at an offsite in Tenerife, our European engineering team did a series of exercises that ended up changing the way we work.

The Task Space: An Integrative Framework for Team Research

Research on teams spans many contexts, but integrating knowledge from heterogeneous sources is challenging because studies typically examine different tasks that cannot be directly compared. Most investigations involve teams working on just one or a handful of tasks, and researchers lack principled ways to quantify how similar or different these tasks are from one another. We address this challenge by introducing the “Task Space,” a multidimensional space in which tasks—and the distances between them—can be represented formally, and use it to create a “Task Map” of 102 crowd-annotated tasks from the published experimental literature. We then demonstrate the Task Space’s utility by performing an integrative experiment that addresses a fundamental question in team research: when do interacting groups outperform individuals? Our experiment samples 20 diverse tasks from the Task Map at three complexity levels and recruits 1,231 participants to work either individually or in groups of three or six (180 experimental conditions). We find striking heterogeneity in group advantage, with groups performing anywhere from three times worse to 60% better than the best individual working alone, depending on the task context. Critically, the Task Space makes this heterogeneity predictable: it significantly outperforms traditional typologies in predicting group advantage on unseen tasks. Our models also reveal theoretically meaningful interactions between task features; for example, group advantage on creative tasks depends on whether the answers are objectively verifiable. We conclude by arguing that the Task Space enables researchers to integrate findings across different experiments, thereby building cumulative knowledge about team performance. This paper was accepted by Sameer Srivastava, organizations. Funding: The authors thank the Alfred P. Sloan Foundation [Grant #202-13924] and the MIT Wade Fund for their generous support of this research. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03544 .

4 - Kanjun Qiu - Foo Camp Lightning Talk_ AI\x27s Incentive Problem

AI’s Incentive Problem Kanjun Qiu CEO, Imbue June 27, 2026 1

Inkling: Our open-weights model

Mira Murati's Thinking Machines Lab just released their first open-weights model. Inkling is "a Mixture-of-Experts transformer with 975B total parameters, 41B active" - an Apache-2.0 licensed multimodal model trained on …

Inkling: Our Open-Weights Model

Our first open-weights model: multimodal, Mixture-of-Experts, with controllable reasoning effort. Available to fine-tune on Tinker.

Home - FLI Worldbuilding Contest

It is frequently practiced by creative writers and scriptwriters, providing the context and backdrop for stories that take place in future, fantasy or alternative realities. Worldbuilding is a tool that can help us explore possible futures for our own world. It helps us better understand what sorts of worlds we may find more or less desirable, and how we might get to there. World builds don’t always have to be grounded in reality, but for our worldbuilding contest we asked contestants to make their imagined worlds plausible and aspirational. To better understand the constraints and ground rules that were used for this contest, visit the Rules page prior to exploring the worlds.

The Winning Variant

A/B testing, algorithmic optimization, and the small act of ignoring both — and what it means to make something by hand when a number can tell you what would have worked better.