Tootfinder

https://worksonmymachine.ai/p/the-only-skill-that-matters-now

The Only Skill That Matters Now
There's this restaurant in Tokyo that doesn't have a kitchen.

Speed, Skill, and Swagger: Las Vegas Raiders’ Offense Taking Shape https://raiderramble.com/2025/08/15/speed-skill-and-swagger-las-vegas-raiders-offense-taking-shape/

TL;DR: what if instead of denying the harms of fascism, we denied its suppressive threats of punishment
Many of us have really sharpened our denial skills since the advent of the ongoing pandemic (perhaps you even hesitated at the word "ongoing" there and thought "maybe I won't read this one, it seems like it'll be tiresome"). I don't say this as a preface to a fiery condemnation or a plea to "sanity" or a bunch of evidence of how bad things are, because I too have honed my denial skills in these recent years, and I feel like talking about that development.
Denial comes in many forms, including strategic information avoidance ("I don't have time to look that up right now", "I keep forgetting to look into that", "well this author made a tiny mistake, so I'll click away and read something else", "I'm so tired of hearing about this, let me scroll farther", etc.) strategic dismissal ("look, there's a bit of uncertainty here, I should ignore this", "this doesn't line up perfectly with my anecdotal experience, it must be completely wrong", etc.) and strategic forgetting ("I don't remember what that one study said exactly; it was painful to think about", "I forgot exactly what my friend was saying when we got into that argument", etc.). It's in fact a kind of skill that you can get better at, along with the complementary skill of compartmentalization. It can of course be incredibly harmful, and a huge genre of fables exists precisely to highlight its harms, but it also has some short-term psychological benefits, chiefly in the form of muting anxiety. This is not an endorsement of denial (the harms can be catastrophic), but I want to acknowledge that there *are* short-term benefits. Via compartmentalization, it's even possible to be honest with ourselves about some of our own denials without giving them up immediately.
But as I said earlier, I'm not here to talk you out of your denials. Instead, given that we are so good at denial now, I'm here to ask you to be strategic about it. In particular, we live in a world awash with propaganda/advertising that serves both political and commercial ends. Why not use some of our denial skills to counteract that?
For example, I know quite a few people in complete denial of our current political situation, but those who aren't (including myself) often express consternation about just how many people in the country are supporting literal fascism. Of course, logically that appearance of widespread support is going to be partly a lie, given how much our public media is beholden to the fascists or outright in their side. Finding better facts on the true level of support is hard, but in the meantime, why not be in denial about the "fact" that Trump has widespread popular support?
To give another example: advertisers constantly barrage us with messages about our bodies and weight, trying to keep us insecure (and thus in the mood to spend money to "fix" the problem). For sure cutting through that bullshit by reading about body positivity etc. is a better solution, but in the meantime, why not be in denial about there being anything wrong with your body?
This kind of intentional denial certainly has its own risks (our bodies do actually need regular maintenance, for example, so complete denial on that front is risky) but there's definitely a whole lot of misinformation out there that it would be better to ignore. To the extent such denial expands to a more general denial of underlying problems, this idea of intentional denial is probably just bad. But I sure wish that in a world where people (including myself) routinely deny significant widespread dangers like COVID-19's long-term risks or the ongoing harms of escalating fascism, they'd at least also deny some of the propaganda keeping them unhappy and passive. Instead of being in denial about US-run concentration camps, why not be in denial that the state will be able to punish you for resisting them?

Jack Bech has specific skill set that Raiders offense can take advantage of https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/08/14/raiders-rookie-wr-jack-bech-displaying-impactful…

Enabling Generic Robot Skill Implementation Using Object Oriented Programming
Abdullah Farrukh, Achim Wagner, Martin Ruskowski
https://arxiv.org/abs/2508.10497 https://

Enabling Generic Robot Skill Implementation Using Object Oriented Programming
Developing robotic algorithms and integrating a robotic subsystem into a larger system can be a difficult task. Particularly in small and medium-sized enterprises (SMEs) where robotics expertise is lacking, implementing, maintaining and developing robotic systems can be a challenge. As a result, many companies rely on external expertise through system integrators, which, in some cases, can lead to vendor lock-in and external dependency. In the academic research on intelligent manufacturing syst…

This is just the start of my decent in to dashcon 2
https://www.tumblr.com/existentialqueer/788563762731958272/the-best-photo-i-took-at-dashcon-2?source=share

Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment
Dimitrios Anastasiou, Razvan Caramalau, Nazir Sirajudeen, Matthew Boal, Philip Edwards, Justin Collins, John Kelly, Ashwin Sridhar, Maxine Tran, Faiz Mumtaz, Nevil Pavithran, Nader Francis, Danail Stoyanov, Evangelos B. Mazomenos
https://arxiv.org/abs/2509.09327…

Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment
Automated surgical skill assessment (SSA) is a central task in surgical computer vision. Developing robust SSA models is challenging due to the scarcity of skill annotations, which are time-consuming to produce and require expert consensus. Few-shot learning (FSL) offers a scalable alternative enabling model development with minimal supervision, though its success critically depends on effective pre-training. While widely studied for several surgical downstream tasks, pre-training has remained …

MoSE: Skill-by-Skill Mixture-of-Expert Learning for Autonomous Driving
Lu Xu, Jiaqian Yu, Xiongfeng Peng, Yiwei Chen, Weiming Li, Jaewook Yoo, Sunghyun Chunag, Dongwook Lee, Daehyun Ji, Chao Zhang
https://arxiv.org/abs/2507.07818

MoSE: Skill-by-Skill Mixture-of-Expert Learning for Autonomous Driving
Recent studies show large language models (LLMs) and vision language models (VLMs) trained using web-scale data can empower end-to-end autonomous driving systems for a better generalization and interpretation. Specifically, by dynamically routing inputs to specialized subsets of parameters, the Mixture-of-Experts (MoE) technique enables general LLMs or VLMs to achieve substantial performance improvements while maintaining computational efficiency. However, general MoE models usually demands ext…

Orlovsky ranks the best NFL QBs in seven different traits: Who makes each top-10 list? https://www.espn.com/nfl/story/_/id/45913841/2025-ranking-best-nfl-quarterbacks-top-10-trait-skill-arm-accuracy-rushing

#Wordle 1,518 4/6*
⬜⬜⬜⬜⬜ <1% of 217,150 (746)
⬜🟨⬜⬜⬜ 0 of 19 (38)
⬜🟩🟨🟨⬜ 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 92/99
Luck 40/99
It's always nice when the word you're unsure if it's worth guessing turns out to make getting the answer easy.

Geospatial Diffusion for Land Cover Imperviousness Change Forecasting
Debvrat Varshney, Vibhas Vats, Bhartendu Pandey, Christa Brelsford, Philipe Dias
https://arxiv.org/abs/2508.10649

Geospatial Diffusion for Land Cover Imperviousness Change Forecasting
Land cover, both present and future, has a significant effect on several important Earth system processes. For example, impervious surfaces heat up and speed up surface water runoff and reduce groundwater infiltration, with concomitant effects on regional hydrology and flood risk. While regional Earth System models have increasing skill at forecasting hydrologic and atmospheric processes at high resolution in future climate scenarios, our ability to forecast land-use and land-cover change (LULC…

Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
Seungeun Rho, Kartik Garg, Morgan Byrd, Sehoon Ha
https://arxiv.org/abs/2508.08982 https://

Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
Exploration is crucial for enabling legged robots to learn agile locomotion behaviors that can overcome diverse obstacles. However, such exploration is inherently challenging, and we often rely on extensive reward engineering, expert demonstrations, or curriculum learning - all of which limit generalizability. In this work, we propose Skill Discovery as Exploration (SDAX), a novel learning framework that significantly reduces human engineering effort. SDAX leverages unsupervised skill discovery…

Training Spatial Ability in Virtual Reality
Yiannos Demetriou, Manasvi Parikh, Sara Eskandari, Westley Weimer, Madeline Endres
https://arxiv.org/abs/2508.10195 https://

Training Spatial Ability in Virtual Reality
Background: Spatial reasoning has been identified as a critical skill for success in STEM. Unfortunately, under-represented groups often have lower incoming spatial ability. Courses that improve spatial skills exist but are not widely used. Virtual reality (VR) has been suggested as a possible tool for teaching spatial reasoning since students are more accurate and complete spatial tasks more quickly in three dimensions. However, no prior work has developed or evaluated a fully-structured VR sp…

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
Xiyan Huang, Zhe Xu, Chenxi Xiao
https://arxiv.org/abs/2509.10063 https://

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
Robot skill acquisition processes driven by reinforcement learning often rely on simulations to efficiently generate large-scale interaction data. However, the absence of simulation models for tactile sensors has hindered the use of tactile sensing in such skill learning processes, limiting the development of effective policies driven by tactile perception. To bridge this gap, we present TwinTac, a system that combines the design of a physical tactile sensor with its digital twin model. Our har…

Raiders Have the Right Mix in Skill Room https://www.si.com/nfl/raiders/jakobi-meyers-brock-bowers-las-vegas-pete-carroll

The Pathfinder 2E character sheet continues. The current "components" are all now linked to actual character sheet data. The skill functions all do what they're supposed to including some interesting edge cases. The ability scores can be edited, and the sheet auto-updates which took longer than it should have. I'm still not a fan of JavaScript/Vue though.
#programming

The Influencer FBI -- The skill set required to succeed online may not always translate to effective law enforcement. (Quinta Jurecic/The Atlantic)
https://www.theatlantic.com/ideas/archive/2025/09/charlie-kirk-fbi-investigation/684184/?gift=mTq34Ny-ZVr996jdTJS9TtvqJryoqu-WW164ZyJrCus&utm_source=copy-link&utm_medium=social&utm_campaign=share
http://www.memeorandum.com/250912/p103#a250912p103

#Wordle 1,517 4/6*
⬜⬜⬜🟩⬜ <1% of 212,038 (87)
⬜⬜⬜🟩🟨 3% of 77 (12)
⬜🟨🟨🟩⬜ 25% of 4 (2)
🟩🟩🟩🟩🟩 71% of 1,047
WordleBot
Skill 95/99
Luck 49/99
I was really beginning to think the answer was a word I must not know!
And omg the other word, yikes, glad it wasn't that one!

Complex Logical Instruction Generation
Mian Zhang, Shujian Liu, Sixun Dong, Ming Yin, Yebowen Hu, Xun Wang, Steven Ma, Song Wang, Sathish Reddy Indurthi, Haoyun Deng, Zhiyu Zoey Chen, Kaiqiang Song
https://arxiv.org/abs/2508.09125

Complex Logical Instruction Generation
Instruction following has catalyzed the recent era of Large Language Models (LLMs) and is the foundational skill underpinning more advanced capabilities such as reasoning and agentic behaviors. As tasks grow more challenging, the logic structures embedded in natural language instructions becomes increasingly intricate. However, how well LLMs perform on such logic-rich instructions remains under-explored. We propose LogicIFGen and LogicIFEval. LogicIFGen is a scalable, automated framework for ge…

I think this is a good call!
”The presence of Expert Generalists crossing the competency boundaries can also increase knowledge transfer between competency groups, increasing everyone's sympathy for related domains. This mechanism also encourages specialists to explore the Expert Generalist skill for themselves.”
https://

Expert Generalists
Being an Expert Generalist should be treated as a first-class skill, one that can be assessed and taught.

Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning
Wei Xiang, Ziyue Lei, Haoyuan Che, Fangyuan Ye, Xueting Wu, Lingyun Sun
https://arxiv.org/abs/2508.06000 h…

Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning
Operational skill learning, inherently physical and reliant on hands-on practice and kinesthetic feedback, has yet to be effectively replicated in large language model (LLM)-supported training. Current LLM training assistants primarily generate customized textual feedback, neglecting the crucial kinesthetic modality. This gap derives from the textual and uncertain nature of LLMs, compounded by concerns on user acceptance of LLM driven body control. To bridge this gap and realize the potential o…

#Wordle 1,487 4/6*
🟩⬜⬜⬜⬜ <1% of 220,166 (37)
🟩⬜🟨⬜⬜ 0 of 9 (2)
🟩⬜🟨🟩🟨 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 71/99
Luck 71/99
Took a while to think of any word to try for my 3rd guess, but it worked out well.
So guess 3 wasn't a wordle word (and I had actually thought of the other not answer word, but didn't want to use it)

People hired for their skill are openly using ChatGPT and I wondered, what the long term strategy is?
(Original title: So what are you saying?)
https://tante.cc/2025/07/06/so-what-are-you-saying/

So what are you saying?
I had a conversation with a friend who described sitting in a workshop where clients and the people they hired were working on problems. As you do. Happens in every consultingy kind of job. But what has totally become normalized is for the people hired, the “experts” to use ChatGPT and similar services to come […]

#Wordle 1,486 5/6*
⬜⬜⬜⬜⬜ <1% of 214,016 (730)
⬜⬜🟨⬜🟩 0 of 313 (9)
🟩🟩⬜⬜🟩 0 of 0 (1)
🟩🟩⬜🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 68/99
Luck 43/99
Sorry, that should not be a wordle word!
Well I guess I can see it as a word, but still.

Who has the best probabilities? Luck versus skill in prediction tournaments
Niall MacKay
https://arxiv.org/abs/2509.08744 https://arxiv.org/pdf/2509.08744

Who has the best probabilities? Luck versus skill in prediction tournaments
An informal and elementary introduction to probability scoring and forecast verification and improvement, slightly extended from Significance 22:3(2025)16, which might be useful for less mathematical readers as a prologue to the classic review by Gneiting and Raftery [Strictly proper scoring rules, prediction, and estimation, Journal of the American Statistical Association 102 (2007): 359].

"Thoughts on Synthesizing Information: A Research Skill for Our Time?" https://muse.jhu.edu/article/964599
"Synthesizing information from multiple sources is a crucial skill for information literacy, and it is exceedingly important for learning in the 21st century information landscape.…

Mining skill then: 94%
Mining skill later: 96%
#AlbionOnline

RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
Gaurangi Raul, Yu-Zheng Lin, Karan Patel, Bono Po-Jen Shih, Matthew W. Redondo, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Pratik Satam
https://arxiv.org/abs/2509.00646

RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
The rapid digital transformation of Fourth Industrial Revolution (4IR) systems is reshaping workforce needs, widening skill gaps, especially for older workers. With growing emphasis on STEM skills such as robotics, automation, artificial intelligence (AI), and security, large-scale re-skilling and up-skilling are required. Training programs must address diverse backgrounds, learning styles, and motivations to improve persistence and success, while ensuring rapid, cost-effective workforce develo…

Skill players headline my personal Dallas Cowboys All-Quarter Century team https://insidethestar.com/skill-players-headline-my-personal-dallas-cowboys-all-quarter-century-team

I ❤️ GPs that get #parkrun: 'Become a parkrun practice today and improve the health and wellbeing of your patients through increased physical activity, skill development, friendships and socialising, mutual support and personal empowerment.' https:/…

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation
Kai Ye, Liangcai Su, Chenxiong Qian
https://arxiv.org/abs/2509.07941 https://

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation
Code generation has emerged as a pivotal capability of Large Language Models(LLMs), revolutionizing development efficiency for programmers of all skill levels. However, the complexity of data structures and algorithmic logic often results in functional deficiencies and security vulnerabilities in generated code, reducing it to a prototype requiring extensive manual debugging. While Retrieval-Augmented Generation (RAG) can enhance correctness and security by leveraging external code manuals, it …

Managing Power Gaps as a Topic of Pair Programming Skill: A Grounded Theory
Linus Ververs, Lutz Prechelt
https://arxiv.org/abs/2508.00462 https://arxiv.org…

Managing Power Gaps as a Topic of Pair Programming Skill: A Grounded Theory
Context: Pair Programming as a work mode is used (occasionally or frequently) throughout professional software development. Objective: Understand what power-related phenomena occur in pair programming as it is used in industry; give advice to practitioners on how to do better pair programming. Method: Analyze 22 industrial pair programming sessions using Grounded Theory Methodology. Formulate a Grounded Theory on power-related behaviors. Run a survey with 292 participants about that theory. Use…

Series D, Episode 03 - Traitor
TARRANT: [OOV] Tarrant to Scorpio. We're ready for teleport.
VILA: About time.
AVON: Stand by for teleport. Slave where are those cruisers now?
SLAVE: Sector Twelve, Master. You outmanoeuvred them with consumate skill.
https://blake.torpidity.net/m/403/490

In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Minjong Yoo, Woo Kyung Kim, Honguk Woo
https://arxiv.org/abs/2509.04535 https://arxiv.org/pdf…

In-Context Policy Adaptation via Cross-Domain Skill Diffusion
In this work, we present an in-context policy adaptation (ICPAD) framework designed for long-horizon multi-task environments, exploring diffusion-based skill learning techniques in cross-domain settings. The framework enables rapid adaptation of skill-based reinforcement learning policies to diverse target domains, especially under stringent constraints on no model updates and only limited target domain data. Specifically, the framework employs a cross-domain skill diffusion scheme, where domai…

We went to see the Burghley cross-country day, yesterday. Always a fabulous day out, though the entry price is a bit eye-watering. It's a joy to watch the level of skill of the best horses and riders, where they make ridiculous jump combinations look effortless. They soar and flow over the fences. #sports #horses

Skill without imagination is craftsmanship and gives us many useful objects
such as wickerwork picnic baskets. Imagination without skill gives us modern
art.
-- Tom Stoppard

Interactive Text-to-SQL via Expected Information Gain for Disambiguation
Luyu Qiu, Jianing Li, Chi Su, Lei Chen
https://arxiv.org/abs/2507.06467 https://…

Interactive Text-to-SQL via Expected Information Gain for Disambiguation
Relational databases are foundational to numerous domains, including business intelligence, scientific research, and enterprise systems. However, accessing and analyzing structured data often requires proficiency in SQL, which is a skill that many end users lack. With the development of Natural Language Processing (NLP) technology, the Text-to-SQL systems attempt to bridge this gap by translating natural language questions into executable SQL queries via an automated algorithm. Yet, when operat…

Just got around to reading Weir’s “Project Hail Mary”. It’s ridiculous, but entertaining. You have to be impressed by Weir’s skill at thinking up new ways for astronauts to catastrophically die and then saving them via clever engineering. Also inventing new types of life which present interesting conundra. Characters? Ehhhh not really.
The movie trailer looks fairly true to the book.

Automatic Detection of Inauthentic Templated Responses in English Language Assessments
Yashad Samant, Lee Becker, Scott Hellman, Bradley Behan, Sarah Hughes, Joshua Southerland
https://arxiv.org/abs/2509.08355

Automatic Detection of Inauthentic Templated Responses in English Language Assessments
In high-stakes English Language Assessments, low-skill test takers may employ memorized materials called ``templates'' on essay questions to ``game'' or fool the automated scoring system. In this study, we introduce the automated detection of inauthentic, templated responses (AuDITR) task, describe a machine learning-based approach to this task and illustrate the importance of regularly updating these models in production.

Taking the Garbage Out of Data-Driven Prediction Across Climate Timescales
Jason C. Furtado, Maria J. Molina, Marybeth C. Arcodia, Weston Anderson, Tom Beucler, John A. Callahan, Laura M. Ciasto, Vittorio A. Gensini, Michelle L'Heureux, Kathleen Pegion, Jhayron S. P\'erez-Carrasquilla, Maike Sonnewald, Ken Takahashi, Baoqiang Xiang, Brian G. Zimmerman
h…

Taking the Garbage Out of Data-Driven Prediction Across Climate Timescales
Artificial intelligence (AI) -- and specifically machine learning (ML) -- applications for climate prediction across timescales are proliferating quickly. The emergence of these methods prompts a revisit to the impact of data preprocessing, a topic familiar to the climate community, as more traditional statistical models work with relatively small sample sizes. Indeed, the skill and confidence in the forecasts produced by data-driven models are directly influenced by the quality of the datasets…

Optimizing Geometry Problem Sets for Skill Development
Michael Bouzinier, Sergey Trifonov
https://arxiv.org/abs/2509.02758 https://arxiv.org/pdf/2509.02758…

Optimizing Geometry Problem Sets for Skill Development
This article describes an ontology and methodology for annotating and organizing Euclidean Geometry problems, developed in the early 1990s and implemented as a software tool. While the majority of this work -- including the ontology and solution graph paradigm -- was completed over thirty years ago, we argue that it has renewed relevance in the context of modern artificial intelligence. In particular, we explore the hypothesis that this established framework can facilitate automated solution va…

Replaced article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search
Austin R. Ellis-Mohr, Anuj K. Nayak, Lav R. Varshney

Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
Amogh Sirnoorkar, N. Sanjay Rebello
https://arxiv.org/abs/2509.08516

Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
Since the advent of GPT-3.5 in 2022, Generative Artificial Intelligence (AI) has shown tremendous potential in STEM education, particularly in providing real-time, customized feedback to students in large-enrollment courses. A crucial skill that mediates effective use of AI is the systematic structuring of natural language instructions to AI models, commonly referred to as prompt engineering. This study has three objectives: (i) to investigate the sophistication of student-generated prompts whe…

Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition
Catalina Gomez, Lalithkumar Seenivasan, Xinrui Zou, Jeewoo Yoon, Sirui Chu, Ariel Leong, Patrick Kramer, Yu-Chun Ku, Jose L. Porras, Alejandro Martin-Gomez, Masaru Ishii, Mathias Unberath
https://arxiv.org/abs/2508.02593

Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition
Traditional surgical skill acquisition relies heavily on expert feedback, yet direct access is limited by faculty availability and variability in subjective assessments. While trainees can practice independently, the lack of personalized, objective, and quantitative feedback reduces the effectiveness of self-directed learning. Recent advances in computer vision and machine learning have enabled automated surgical skill assessment, demonstrating the feasibility of automatic competency evaluation…

The term "context engineering" is gaining traction over "prompt engineering" as it better describes the skill of providing LLMs with the necessary information (Simon Willison/Simon Willison's Weblog)
https://simonwillison.net/2025/Jun/27/context-…

How Deebo Samuel's skill set could lift Jayden Daniels-led Commanders offense to new heights in 2025

https://www.cbssports.com/nfl/news/how-dee

For many of the days of my career, the most important task I’ve had was to say “no”.
It’s really more like “No, not that way, but let’s find a solution.”
Saying “yes, here’s some code to do the thing you asked, even though you should DEFINITELY not be doing that thing because it’s dangerous for you and your users” is how someone (or some machine) who is not [yet] good at this job acts.

Schloss Johannisberg, Rheingau Musik Festival: Alexander Malofeev, Klavier
I'm left to wonder about his finale, Skrjabin's Fantasie h-Moll op. 28. The hall got warm by the end. I suspect it got to this otherwise superb young pianist (along with a cellphone ringing during Listz's Funérailles). He played the Fantasie for 3–4 minutes. It's described as lasting ca. 9 minutes and requiring the full, immense skill of the performer while stretching the limits of the instrument…

Flexible estimation of skill formation models
Antonia Antweiler, Joachim Freyberger
https://arxiv.org/abs/2507.18995 https://arxiv.org/pdf/2507.18995

Flexible estimation of skill formation models
This paper examines estimation of skill formation models, a critical component in understanding human capital development and its effects on individual outcomes. Existing estimators are either based on moment conditions and only applicable in specific settings or rely on distributional approximations that often do not align with the model. Our method employs an iterative likelihood-based procedure, which flexibly estimates latent variable distributions and recursively incorporates model restric…

#Wordle 1,516 5/6*
⬜⬜⬜🟩⬜ <1% of 205,256 (61)
⬜🟨⬜🟩⬜ 12% of 231 (12)
🟨🟩⬜🟩⬜ 11% of 28 (3)
⬜🟩🟨🟩⬜ 17% of 594 (1)
🟩🟩🟩🟩🟩 78% of 15,911
WordleBot
Skill 92/99
Luck 29/99
Well, now that I see the answer I understand why I had so much trouble finding it!

Ich glaube, @… hatte mir "Cræft" empfohlen. Habe das jetzt mal gelesen, bin etwas zwiegespalten. Einerseits lehrreich, zu sehen, wie viel Arbeit, Skill, Vernetzung und System in traditionellen Arbeitsformen steckt. Und durchaus lebendig geschrieben. Andererseits: mir dann doch zu viel Nostalgie für die "guten alten Zeiten", auch in der naturverb…

#Wordle 1,485 5/6*
⬜🟨⬜⬜⬜ <1% of 210,036 (163)
⬜⬜🟩⬜⬜ 0 of 101 (13)
⬜⬜🟩⬜🟩 0 of 0 (4)
⬜⬜🟩🟨🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 85/99
Luck 37/99
Funny that I was talking about that just a couple of days ago. Which will mean nothing except to the 2 people I was talking too.

Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
Nhi Hoai Doan, Tatsuya Hiraoka, Kentaro Inui
https://arxiv.org/abs/2507.07810

Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
This paper investigates the relationship between large language models' (LLMs) ability to recognize repetitive input patterns and their performance on in-context learning (ICL). In contrast to prior work that has primarily focused on attention heads, we examine this relationship from the perspective of skill neurons, specifically repetition neurons. Our experiments reveal that the impact of these neurons on ICL performance varies depending on the depth of the layer in which they reside. By comp…

Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives
Lidiany Cerqueira, Jo\~ao Pedro Bastos, Danilo Neves, Glauco Carneiro, Rodrigo Sp\'inola, S\'avio Freire, Jos\'e Amancio Macedo Santos, Manoel Mendon\c{c}a
https://arxiv.org/abs/2507.05325

Exploring Empathy in Software Engineering: Insights from a Grey Literature Analysis of Practitioners' Perspectives
Context. Empathy, a key social skill, is essential for communication and collaboration in SE but remains an under-researched topic. Aims. This study investigates empathy in SE from practitioners' perspectives, aiming to characterize its meaning, identify barriers, discuss practices to overcome them, and explore its effects. Method. A qualitative content analysis was conducted on 55 web articles from DEV and Medium, two communities widely used by practitioners. To strengthen our findings, we con…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Minjong Yoo, Woo Kyung Kim, Honguk Woo

Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction
Karan Patel, Yu-Zheng Lin, Gaurangi Raul, Bono Po-Jen Shih, Matthew W. Redondo, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Pratik Satam
https://arxiv.org/abs/2509.02998

Integrating Generative AI into Cybersecurity Education: A Study of OCR and Multimodal LLM-assisted Instruction
This full paper describes an LLM-assisted instruction integrated with a virtual cybersecurity lab platform. The digital transformation of Fourth Industrial Revolution (4IR) systems is reshaping workforce needs, widening skill gaps, especially among older workers. With rising emphasis on robotics, automation, AI, and security, re-skilling and up-skilling are essential. Generative AI can help build this workforce by acting as an instructional assistant to support skill acquisition during experien…

Why DeAndre Hopkins' skill set adds different facet to Lamar Jackson, Ravens' offense https://www.espn.com/nfl/story/_/id/45582207/deandre-hopkins-baltimore-ravens-lamar-jackson-contested-catches

Kenny Clark on debut with Cowboys: 'This is what I do" https://www.dallascowboys.com/news/kenny-clark-on-debut-with-cowboys-this-is-what-i-do

DETACH: Cross-domain Learning for Long-Horizon Tasks via Mixture of Disentangled Experts
Yutong Shen, Hangxu Liu, Penghui Liu, Ruizhe Xia, Tianyi Yao, Yitong Sun, Tongtong Feng
https://arxiv.org/abs/2508.07842

DETACH: Cross-domain Learning for Long-Horizon Tasks via Mixture of Disentangled Experts
Long-Horizon (LH) tasks in Human-Scene Interaction (HSI) are complex multi-step tasks that require continuous planning, sequential decision-making, and extended execution across domains to achieve the final goal. However, existing methods heavily rely on skill chaining by concatenating pre-trained subtasks, with environment observations and self-state tightly coupled, lacking the ability to generalize to new combinations of environments and skills, failing to complete various LH tasks across do…

Predicting how the Raiders’ rookie skill players will fare this season https://www.reviewjournal.com/sports/raiders/predicting-how-the-raiders-rookie-skill-players-will-fare-this-season-3388415/

Probing Experts' Perspectives on AI-Assisted Public Speaking Training
Nesrine Fourati, Alisa Barkar, Marion Drag\'ee, Liv Danthon-Lefebvre, Mathieu Chollet
https://arxiv.org/abs/2507.07930

Probing Experts' Perspectives on AI-Assisted Public Speaking Training
Background: Public speaking is a vital professional skill, yet it remains a source of significant anxiety for many individuals. Traditional training relies heavily on expert coaching, but recent advances in AI has led to novel types of commercial automated public speaking feedback tools. However, most research has focused on prototypes rather than commercial applications, and little is known about how public speaking experts perceive these tools. Objectives: This study aims to evaluate expert…

Should we teach vibe coding? Here's why not.
2/2
To address the bigger question I started with ("should we teach AI-"assisted" coding?"), my answer is: "No, except enough to show students directly what its pitfalls are." We have little enough time as it is to cover the core knowledge that they'll need, which has become more urgent now that they're going to be expected to clean up AI bugs and they'll have less time to develop an understanding of the problems they're supposed to be solving. The skill of prompt engineering & other skills of working with AI are relatively easy to pick up on your own, given a decent not-even-mathematical understanding of how a neutral network works, which is something we should be giving to all students, not just our majors.
Reasonable learning objectives for CS majors might include explaining what types of bugs an AI "assistant" is most likely to introduce, explaining the difference between software engineering and writing code, explaining why using an AI "assistant" is likely to violate open-source licenses, listing at lest three independent ethical objections to contemporary LLMs and explaining the evidence for/reasoning behind them, explaining why we should expect AI "assistants" to be better at generating code from scratch than at fixing bugs in existing code (and why they'll confidently "claim" to have fixed problems they haven't), and even fixing bugs in AI generated code (without AI "assistance").
If we lived in a world where the underlying environmental, labor, and data commons issues with AI weren't as bad, or if we could find and use systems that effectively mitigate these issues (there's lots of piecemeal progress on several of these) then we should probably start teaching an elective on coding with an assistant to students who have mastered programming basics, but such a class should probably spend a good chunk of time on non-assisted debugging.
#AI #LLMs #VibeCoding

Have you or some one you know played Geometry Dash? It's a simple game with some very challenging levels and a pretty epic community of level makers. Inside is almost a whole game engine to build some of the most wild level I have ever seen.
This game is my nightmare but my son has sunk hundreds of hours in to this game and has even learned some game dev skill while trying to build levels
What do other know about this game?

#Wordle 1,515 3/6*
⬜⬜🟨⬜🟨 <1% of 214,400 (68)
🟨🟩⬜🟨🟩 0 of 30 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 92/99
Luck 78/99
Didn't have to wander around to get the word today at all.

Indian software services provider Tata Consultancy Services plans to cut 2% of its global workforce, or about 12,000 employees, by March 31, 2026 (Moneycontrol)
https://www.moneycontrol.com/news/business

Automated Seam Folding and Sewing Machine on Pleated Pants for Apparel Manufacturing
Ray Wai Man Kong
https://arxiv.org/abs/2508.06518 https://arxiv.org/pd…

Automated Seam Folding and Sewing Machine on Pleated Pants for Apparel Manufacturing
The applied research is the design and development of an automated folding and sewing machine for pleated pants. It represents a significant advancement in addressing the challenges associated with manual sewing processes. Traditional methods for creating pleats are labour-intensive, prone to inconsistencies, and require high levels of skill, making automation a critical need in the apparel industry. This research explores the technical feasibility and operational benefits of integrating advanc…

Skill-based Explanations for Serendipitous Course Recommendation
Hung Chau, Run Yu, Zachary Pardos, Peter Brusilovsky
https://arxiv.org/abs/2508.19569 https://

Skill-based Explanations for Serendipitous Course Recommendation
Academic choice is crucial in U.S. undergraduate education, allowing students significant freedom in course selection. However, navigating the complex academic environment is challenging due to limited information, guidance, and an overwhelming number of choices, compounded by time restrictions and the high demand for popular courses. Although career counselors exist, their numbers are insufficient, and course recommendation systems, though personalized, often lack insight into student percepti…

Kenny Clark on debut with Cowboys: 'This is what I do" https://www.dallascowboys.com/news/kenny-clark-on-debut-with-cowboys-this-is-what-i-do

Barnwell's annual ranking of all 32 playmaker cores: Who has the best WR, TE and RB groups? https://www.espn.com/nfl/story/_/id/45679684/ranking-nfl-teams-wr-te-rb-groups-2025-season-best-players-playmakers-o…

The Majority is not always right: RL training for solution aggregation
Wenting Zhao, Pranjal Aggarwal, Swarnadeep Saha, Asli Celikyilmaz, Jason Weston, Ilia Kulikov
https://arxiv.org/abs/2509.06870

The Majority is not always right: RL training for solution aggregation
Scaling up test-time compute, by generating multiple independent solutions and selecting or aggregating among them, has become a central paradigm for improving large language models (LLMs) on challenging reasoning tasks. While most prior work relies on simple majority voting or reward model ranking to aggregate solutions, these approaches may only yield limited benefits. In this work, we propose to learn aggregation as an explicit reasoning skill: given a set of candidate solutions, we train an…

Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Rafael Cathomen, Mayank Mittal, Marin Vlastelica, Marco Hutter
https://arxiv.org/abs/2508.19953

Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
Unsupervised Skill Discovery (USD) allows agents to autonomously learn diverse behaviors without task-specific rewards. While recent USD methods have shown promise, their application to real-world robotics remains underexplored. In this paper, we propose a modular USD framework to address the challenges in the safety, interpretability, and deployability of the learned skills. Our approach employs user-defined factorization of the state space to learn disentangled skill representations. It assig…

#Wordle 1,483 3/6*
⬜🟨⬜🟨⬜ <1% of 219,803 (63)
⬜⬜🟨⬜🟨 3% of 72 (15)
🟩🟩🟩🟩🟩 17% of 12
WordleBot
Skill 87/99
Luck 56/99
OK that has to be very lucky on that last guess...yep 1/15 pretty lucky.

Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels
Emin Zerman, Jonas Carlsson, M{\aa}rten Sj\"ostr\"om
https://arxiv.org/abs/2507.00333

Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels
Marksmanship practices are required in various professions, including police, military personnel, hunters, as well as sports shooters, such as Olympic shooting, biathlon, and modern pentathlon. The current form of training and coaching is mostly based on repetition, where the coach does not see through the eyes of the shooter, and analysis is limited to stance and accuracy post-session. In this study, we present a shooting visualization system and evaluate its perceived effectiveness for both n…

Analysis of Bluffing by DQN and CFR in Leduc Hold'em Poker
Tarik Zaciragic, Aske Plaat, K. Joost Batenburg
https://arxiv.org/abs/2509.04125 https://arx…

Analysis of Bluffing by DQN and CFR in Leduc Hold'em Poker
In the game of poker, being unpredictable, or bluffing, is an essential skill. When humans play poker, they bluff. However, most works on computer-poker focus on performance metrics such as win rates, while bluffing is overlooked. In this paper we study whether two popular algorithms, DQN (based on reinforcement learning) and CFR (based on game theory), exhibit bluffing behavior in Leduc Hold'em, a simplified version of poker. We designed an experiment where we let the DQN and CFR agent play ag…

#Wordle 1,514 4/6*
⬜🟩⬜🟩⬜ <1% of 216,514 (18)
⬜🟩⬜🟩🟩 30% of 10 (7)
⬜🟩⬜🟩🟩 12% of 68 (4)
🟩🟩🟩🟩🟩 46% of 41
WordleBot
Skill 79/99
Luck 66/99
Happy I was able to get the word once I had 3 letters so early.

Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration
Ce Guo, Xieyuanli Chen, Zhiwen Zeng, Zirui Guo, Yihong Li, Haoran Xiao, Dewen Hu, Huimin Lu
https://arxiv.org/abs/2509.08354

Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration
Tactile and kinesthetic perceptions are crucial for human dexterous manipulation, enabling reliable grasping of objects via proprioceptive sensorimotor integration. For robotic hands, even though acquiring such tactile and kinesthetic feedback is feasible, establishing a direct mapping from this sensory feedback to motor actions remains challenging. In this paper, we propose a novel glove-mediated tactile-kinematic perception-prediction framework for grasp skill transfer from human intuitive an…

Skill-Nav: Enhanced Navigation with Versatile Quadrupedal Locomotion via Waypoint Interface
Dewei Wang, Chenjia Ba, Chenhui Li, Jiyuan Shi, Yan Ding, Chi Zhang, Bin Zhao
https://arxiv.org/abs/2506.21853

Skill-Nav: Enhanced Navigation with Versatile Quadrupedal Locomotion via Waypoint Interface
Quadrupedal robots have demonstrated exceptional locomotion capabilities through Reinforcement Learning (RL), including extreme parkour maneuvers. However, integrating locomotion skills with navigation in quadrupedal robots has not been fully investigated, which holds promise for enhancing long-distance movement capabilities. In this paper, we propose Skill-Nav, a method that incorporates quadrupedal locomotion skills into a hierarchical navigation framework using waypoints as an interface. Spe…

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
Xinye Tang, Haijun Zhai, Chaitanya Belwal, Vineeth Thayanithi, Philip Baumann, Yogesh K Roy
https://arxiv.org/abs/2506.20815

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications
LLM-powered applications are highly susceptible to the quality of user prompts, and crafting high-quality prompts can often be challenging especially for domain-specific applications. This paper presents a novel dynamic context-aware prompt recommendation system for domain-specific AI applications. Our solution combines contextual query analysis, retrieval-augmented knowledge grounding, hierarchical skill organization, and adaptive skill ranking to generate relevant and actionable prompt sugges…

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
Stefan Buijsman, Sarah Carter, Juan Pablo Berm\'udez
https://arxiv.org/abs/2506.23952

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
AI systems increasingly support human decision-making across domains of professional, skill-based, and personal activity. While previous work has examined how AI might affect human autonomy globally, the effects of AI on domain-specific autonomy -- the capacity for self-governed action within defined realms of skill or expertise -- remain understudied. We analyze how AI decision-support systems affect two key components of domain-specific autonomy: skilled competence (the ability to make inform…

#Wordle 1,513 4/6*
⬜⬜⬜⬜⬜ <1% of 217,519 (679)
⬜⬜⬜⬜🟨 <1% of 339 (6)
🟩🟩⬜🟩🟩 0 of 2 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 91/99
Luck 45/99
Move along, nothing to see here, just another completed wordle. 😆

#Wordle 1,482 4/6*
🟨⬜🟨⬜⬜ >1% of 218,642 (26)
⬜🟩🟨⬜⬜ 13% of 55 (4)
⬜🟩🟩🟩🟩 41% of 85 (2)
🟩🟩🟩🟩🟩 42% of 9,758
WordleBot
Skill 99/99
Luck 54/99
Sneaky NYT, but we were due

A tangible user interface for assessing cognitive mapping ability
Ehud Sharlin, Benjamin Watson, Steve Sutphen, Lili Liu, Robert Lederer, John Frazer
https://arxiv.org/abs/2506.22597

A tangible user interface for assessing cognitive mapping ability
Wayfinding, the ability to recall the environment and navigate through it, is an essential cognitive skill relied upon almost every day in a person's life. A crucial component of wayfinding is the construction of cognitive maps, mental representations of the environments through which a person travels. Age, disease or injury can severely affect cognitive mapping, making assessment of this basic survival skill particularly important to clinicians and therapists. Cognitive mapping has also been t…

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
Yixuan Huang, Novella Alvina, Mohanraj Devendran Shanthi, Tucker Hermans
https://arxiv.org/abs/2509.01746

Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference
Skill effect models for long-horizon manipulation tasks are prone to failures in conditions not covered by training data distributions. Therefore, enabling robots to reason about and learn from failures is necessary. We investigate the problem of efficiently generating a dataset targeted to observed failures. After fine-tuning a skill effect model on this dataset, we evaluate the extent to which the model can recover from failures and minimize future failures. We propose Fail2Progress, an appro…

#Wordle 1,481 3/6*
⬜⬜⬜🟨⬜ <1% of 218,061 (179)
⬜🟨🟨⬜🟨 0 of 4 (3)
🟩🟩🟩🟩🟩
WordleBot
Skill 88/99
Luck 65/99
That felt like the appropriate amount of struggle to find a word that fit, didn't just appear, but wasn't a painful struggle either.

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Luca Grillotti (AIRL, Imperial College London), Lisa Coiffard (AIRL, Imperial College London), Oscar Pang (AIRL, Imperial College London), Maxence Faldor (AIRL, Imperial College London), Antoine Cully (AIRL, Imperial College London)
https://

From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
Autonomous skill discovery aims to enable robots to acquire diverse behaviors without explicit supervision. Learning such behaviors directly on physical hardware remains challenging due to safety and data efficiency constraints. Existing methods, including Quality-Diversity Actor-Critic (QDAC), require manually defined skill spaces and carefully tuned heuristics, limiting real-world applicability. We propose Unsupervised Real-world Skill Acquisition (URSA), an extension of QDAC that enables rob…

#Wordle 1,512 4/6*
⬜⬜⬜⬜⬜ <1% of 216,516 (616)
⬜⬜⬜🟨⬜ 1% of 204 (19)
⬜🟨🟨🟨⬜ 0 of 3 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 87/99
Luck 45/99
Just squeezing the wordle in for the day after a long car ride home. 🥱

#Wordle 1,511 4/6*
⬜⬜🟨⬜🟩 <1% of 213,797 (39)
⬜⬜🟨🟨🟩 <1% of 1,172 (1)
🟨🟨⬜⬜🟩 7% of 3,486 (1)
🟩🟩🟩🟩🟩 68% of 3,610
WordleBot
Skill 45/99
Luck 86/99
user error 2nd guess, didn't really affect anything though.
Seems 3rd guess wasn't a wordle word, but a lot of people tried it.

#Wordle 1,480 5/6*
⬜🟩⬜⬜⬜ <1% of 218,985 (153)
⬜🟩⬜⬜⬜ 7% of 43 (37)
⬜🟩⬜⬜⬜ 0 of 5 (12)
⬜🟩🟩⬜⬜ 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 83/99
Luck 36/99
Letter elimination is key!

#Wordle 1,510 3/6*
⬜🟨⬜🟨⬜ <1% of 218,639 (50)
🟩⬜🟨⬜🟨 0 of 5 (9)
🟩🟩🟩🟩🟩
WordleBot
Skill 84/99
Luck 58/99
Nice easy day today.
My starting word today was not one I'd expect to be a wordle answer, I just felt like using it.
Interesting, the bot would have chosen a different word w/ the same letters I did for the 3rd guess, and it would have distributed the remaining words more evenly.

#Wordle 1,479 4/6*
🟩⬜⬜⬜⬜ <1% of 219,792 (152)
🟩🟩⬜⬜⬜ 0 of 6 (7)
🟩🟩🟩⬜⬜ 0 of 0 (3)
🟩🟩🟩🟩🟩
WordleBot
Skill 92/99
Luck 50/99
So I thought there were only 3 words left after guess 3, and I'm really curious what the bot says...Bot agrees and lists the 3 words I thought of!

#Wordle 1,540 5/6*
⬜⬜⬜⬜⬜ <1% of 217,485 (876)
🟩🟨⬜⬜⬜ 0 of 33 (13)
🟩⬜⬜🟨🟨 0 of 0 (4)
🟩🟨🟩⬜⬜ 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 87/99
Luck 34/99
It may have taken 5, but I stand by every guess!

#Wordle 1,478 5/6*
⬜⬜🟨⬜⬜ <1% of 212,720 (347)
🟩⬜⬜⬜🟨 3% of 118 (4)
🟩⬜⬜⬜🟨 0 of 7 (2)
🟩⬜🟩🟩🟨 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 69/99
Luck 45/99
I was really stuck after guess 2, which is why I ended up putting the same letter in the last wrong place in guess 3 and 4.

#Wordle 1,460 4/6*
⬜⬜⬜⬜⬜ <1% of 218,228 (881)
⬜⬜⬜⬜⬜ 0 of 2 (151)
⬜⬜🟨🟩🟩 0 of 0 (3)
🟩🟩🟩🟩🟩
WordleBot
Skill 85/99
Luck 41/99
Wow one of my most brain off days ever!
Liked the word and entered it before really thinking and it had a double letter, AND THEN my 2nd word reused a letter from the first word. Yikes, I really better double check things the rest of today!
1st word had a skill score of 71, and 2nd word's skill was 64.

#Wordle 1,539 3/6*
🟨⬜⬜⬜⬜ <1% of 213,416 (36)
⬜🟨🟩🟩⬜ 0 of 98 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 83/99
Luck 75/99
Such a fortuitous first word.
And my 2nd guess worked out but user error, reused an eliminated letter. Really not sure how that got by me.

#Wordle 1,468 6/6*
⬜🟨⬜⬜🟨 <1% of 219,549 (218)
⬜🟨⬜🟩🟩 1% of 75 (9)
🟩⬜⬜🟩🟩 16% of 44 (8)
🟩⬜⬜🟩🟩 9% of 11 (6)
🟩⬜⬜🟩🟩 20% of 5 (4)
🟩🟩🟩🟩🟩 47% of 30
WordleBot
Skill 44/99
Luck 49/99
really thought I'd be starting my streak over again.
0 skill on my 4th and 5th guesses, and a fair amount of luck on my last guess 1 out of 4.

#Wordle 1,508 4/6*
⬜⬜🟨⬜⬜ <1% of 219,576 (277)
⬜⬜⬜⬜🟨 0 of 48 (55)
🟩🟩🟩⬜⬜ 0 of 0 (4)
🟩🟩🟩🟩🟩
WordleBot
Skill 84/99
Luck 42/99
Curious how many words were left starting with those 3 letters after my 3rd guess...bot says 4.

#Wordle 1,477 6/6*
⬜🟨⬜⬜⬜ <1% of 212,525 (441)
⬜⬜🟨🟨⬜ 0 of 14 (79)
⬜🟨🟨🟨🟩 0 of 0 (5)
🟨🟩⬜🟩🟩 0 of 0 (2)
⬜🟩🟩🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 92/99
Luck 35/99
really wasn't sure about that word, but I think at the end there it was just looking funny, it's a fine word.