Tootfinder

"The Art of a Good #Poster" by @… https://errantscience.com/blog/2…

The initial example is based of my current character and it's looking decent. I'm not happy with the skill section, but this should get the job done. Still have to figure out how I want the damage to look on weapons. I also need to get spells into the schema, but I'll leave that alone for the time being.
#pathfinder2e

Git merge flatten is a mistake and a skill issue from those with bad git history visualisers.
#git

#Wordle 1,585 3/6*
⬜⬜🟨🟨⬜ <1% of 222,357 (81)
⬜⬜🟩🟩⬜ 0 of 36 (3)
🟩🟩🟩🟩🟩
WordleBot
Skill 78/99
Luck 67/99
Hah, nice 3 today, good cause I'm in a rush.

Fascinating. #beatbox
https://www.instagram.com/reel/DQ7Lx-Gjvpn/?igsh=YWhqbzdvN2EzeXZ0

Songs That Should Not Work on Instagram: "Beatboxing is the art of creating music and rhythm using only your mouth, lips, tongue, and voice. It’s often used to imitate drum sounds, basslines, and other musical effects — all without instruments. Skilled beatboxers can layer sounds to mimic a full band, producing beats, melodies, and even sound effects at the same time. Beatboxing started as part of hip-hop culture in the 1980s, with artists using it to keep rhythm for rap performances. Over time, it’s evolved into its own global art form, blending music, creativity, and vocal control into one impressive performance skill."
13K likes, 200 comments - songsthatshouldnotwork on November 11, 2025: "Beatboxing is the art of creating music and rhythm using only your mouth, lips, tongue, and voice. It’s often used to imitate drum sounds, basslines, and other musical effects — all without instruments. Skilled beatboxers can layer sounds to mimic a full band, producing beats, melodies, and even sound effects at the same time. Beatboxing started as part of hip-hop culture in the 1980s, with artists using it to keep rh…

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

#Wordle 1,616 5/6*
⬜⬜🟨⬜⬜ <1% of 228,734 (328)
⬜🟨⬜⬜🟨 0 of 114 (46)
🟨⬜⬜🟩⬜ 0 of 0 (10)
⬜🟩🟨🟩⬜ 0 of 0 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 83/99
Luck 38/99
Seems this is my 1000th Wordle played. Oops user error on guess 2.

Reference Grounded Skill Discovery
Seungeun Rho, Aaron Trinh, Danfei Xu, Sehoon Ha
https://arxiv.org/abs/2510.06203 https://arxiv.org/pdf/2510.06203…

Reference Grounded Skill Discovery
Scaling unsupervised skill discovery algorithms to high-DoF agents remains challenging. As dimensionality increases, the exploration space grows exponentially, while the manifold of meaningful skills remains limited. Therefore, semantic meaningfulness becomes essential to effectively guide exploration in high-dimensional spaces. In this work, we present Reference-Grounded Skill Discovery (RGSD), a novel algorithm that grounds skill discovery in a semantically meaningful latent space using refer…

The Cowboys' Offensive Skill Players the Gold Standard https://insidethestar.com/the-cowboys-offensive-skill-players-the-gold-standard

#Wordle 1,584 5/6*
⬜⬜⬜⬜🟨 <1% of 213,807 (150)
🟨🟨🟨⬜⬜ 0 of 29 (3)
⬜🟨🟨🟨⬜ 0 of 0 (1)
⬜🟩🟨🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 63/99
Luck 59/99
Killer wordle for me today. 1st user error on guess 3, then I could not think of ANY word for guess 4, was trying things at random, and it took what I would have thought was a proper name, and that got me the answer in guess 5!
Looked up guess 4 found other meanings, still not a wordle word.

Day 24: Yvonne Adhiambra Owuor
Owuor wrote "Dust", a novel that follows a scattered family's struggles with intergenerational trauma through a vivid tapestry of Kenyan history. Not only is it full of carefully rendered complex characters who both deal with their own issues and who are entangled in larger threads, but it also depicts a series of deeply personal reactions to and interactions with historical moments that give a gestalt sense of the painful history of Kenya both during and after the colonial era.
It's a gripping read despite not having a traditional suspense structure, where in the last third of the book every chapter seems to be tying up one more loose thread you had almost forgotten about, only to leave a little more still to discover, right up to the end. Owuor's skill at constructing such a detailed and complex plot and especially in navigating it to a satisfying conclusion is impressive, and her depictions of human foibles and struggles in the face of grief and not-wanting-to-know are relatable.
CW for domestic abuse, state murder, genocide, torture, etc.
#30AuthorsNoMen

The better #Midjourney gets in correctly generating multiple words in a row the more we lose an ancient skill: pasting an image into Word, typing text on top and saving a screenshot of the result to send as a Christmas card.
I liked the old ways better, mum!

Trajectory Conditioned Cross-embodiment Skill Transfer
YuHang Tang, Yixuan Lou, Pengfei Han, Haoming Song, Xinyi Ye, Dong Wang, Bin Zhao
https://arxiv.org/abs/2510.07773 https:/…

Trajectory Conditioned Cross-embodiment Skill Transfer
Learning manipulation skills from human demonstration videos presents a promising yet challenging problem, primarily due to the significant embodiment gap between human body and robot manipulators. Existing methods rely on paired datasets or hand-crafted rewards, which limit scalability and generalization. We propose TrajSkill, a framework for Trajectory Conditioned Cross-embodiment Skill Transfer, enabling robots to acquire manipulation skills directly from human demonstration videos. Our key …

#Wordle 1,615 X/6*
⬜⬜⬜🟨🟨 <1% of 231,476 (166)
⬜🟩🟨🟨⬜ 0 of 18 (11)
⬜🟩🟩⬜🟩 0 of 0 (5)
⬜🟩🟩⬜🟩 0 of 0 (3)
🟩🟩🟩⬜🟩 0 of 0 (2)
🟩🟩🟩⬜🟩
WordleBot
Skill 88/99
Luck 31/99
Bah there goes my streak, I'm never catching my sister at this rate, wasn't even over 200 yet!
And now looking at those 5 words after guess 3, I picked the worst possible one for narrowing things down, which left getting the answer in 6 up to luck.

We can't trust Trump with regard to BigTech, we can't trust BigTech itself and the USA is breaking down it's cybersecurity capabilities, plenty of reasons to start walking away from hyperscalers where you can....
https://www.cybersecuritydive.com/ne…

Layoffs, reassignments further deplete CISA
Some CISA staffers have been pushed out, while others are being told to move across the country for jobs outside their skill sets.

OpenAI quietly adopted Anthropic's "skills" mechanism in ChatGPT and Codex; ChatGPT's skills include creating and modifying spreadsheets, docx files, and PDFs (Simon Willison/Simon Willison's Weblog)
https://simonwillison.net/2025/Dec/12/openai-skills/

OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI
One of the things that most excited me about Anthropic’s new Skills mechanism back in October is how easy it looked for other platforms to implement. A skill is just …

Skill of Long-Range Forecasts of Ocean Wave Spectra from the Navy ESPC Version 2 System
W. E. Rogers, M. A. Janiga
https://arxiv.org/abs/2510.06484 https://

Skill of Long-Range Forecasts of Ocean Wave Spectra from the Navy ESPC Version 2 System
We report the outcome of evaluations of the skill of long-range forecasts from the ocean wave model component of the Navy's global coupled modeling system. Specifically, the model output is taken from a single member of the ensemble system, and we evaluate the skill of predicting seven model "wave height" parameters, computed from: energy in four frequency bands, energy in all bands combined, swell energy, and wind sea energy. The model is evaluated using two methods of "ground truth". The firs…

New US curb on high-skill immigrant workers ignores evidence of its likely harms | PIIE
https://www.piie.com/blogs/realtime-economics/2025/new-us-curb-high-skill-immigrant-workers-ignores-evidence-its-likely

RefineShot: Rethinking Cinematography Understanding with Foundational Skill Evaluation
Hang Wu, Yujun Cai, Haonan Ge, Hongkai Chen, Ming-Hsuan Yang, Yiwei Wang
https://arxiv.org/abs/2510.02423

RefineShot: Rethinking Cinematography Understanding with Foundational Skill Evaluation
Cinematography understanding refers to the ability to recognize not only the visual content of a scene but also the cinematic techniques that shape narrative meaning. This capability is attracting increasing attention, as it enhances multimodal understanding in real-world applications and underpins coherent content creation in film and media. As the most comprehensive benchmark for this task, ShotBench spans a wide range of cinematic concepts and VQA-style evaluations, with ShotVL achieving sta…

#AdventOfSystemSeeing I finally caught up with @… - partly by using some skill enhancement automation. Here’s days 8 and 9 on Contexts and Interactions.

Lowering Barriers to CAD Adoption: A Comparative Study of Augmented Reality-Based CAD (AR-CAD) and a Traditional CAD tool
Muhammad Talha, Abdullah Mohiuddin, Sehrish Javed, Ahmed Jawad Qureshi
https://arxiv.org/abs/2510.12146

Lowering Barriers to CAD Adoption: A Comparative Study of Augmented Reality-Based CAD (AR-CAD) and a Traditional CAD tool
The paper presents a comparative user study between an Augmented Reality-based Computer-Aided Design (AR-CAD) system and a traditional computer-based CAD modeling software, SolidWorks. Twenty participants of varying skill levels performed 3D modeling tasks using both systems. The results showed that while the average task completion time is comparable for both groups, novice designers had a higher completion rate in AR-CAD than in the traditional CAD interface, and experienced designers had a s…

Context-Specific Instruction: A Longitudinal Study on Debugging Skill Acquisition and Retention for Novice Programmers
Ziyi Zhang, Devjeet Roy, Venera Arnaoudova
https://arxiv.org/abs/2509.22420

Context-Specific Instruction: A Longitudinal Study on Debugging Skill Acquisition and Retention for Novice Programmers
Bug localization is a critical skill, yet novices often lack systematic approaches. Prior work tested abstract guidelines and general concrete steps; the impact of context-specific instruction is unclear. We ran an eight-week longitudinal study with four conditions: no instruction (G1), abstract guidelines (G2), concrete steps (G3), and our context-specific instruction that pairs concrete bug-localization steps with problem-specific details (G4). Forty-four undergraduates participated; 41 compl…

AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
Ebrahim Rahimi, Clara Maathuis
https://arxiv.org/abs/2510.09677 https://

AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
Computational Thinking (CT) is a key skill set for students in higher education to thrive and adapt to an increasingly technology-driven future and workplace. While research on CT education has gained remarkable momentum in K12 over the past decade, it has remained under-explored in higher education, leaving higher education teachers with an insufficient overview, knowledge, and support regarding CT education. The proliferation and adoption of artificial intelligence (AI) by educational institu…

A decade of tweeting gave me an incredible transferable skill for slide decks: boiling down paragraphs of content to 140 characters of text.

ProfVLM: A Lightweight Video-Language Model for Multi-View Proficiency Estimation
Edoardo Bianchi, Jacopo Staiano, Antonio Liotta
https://arxiv.org/abs/2509.26278 https://

ProfVLM: A Lightweight Video-Language Model for Multi-View Proficiency Estimation
Existing approaches to skill proficiency estimation often rely on black-box video classifiers, ignoring multi-view context and lacking explainability. We present ProfVLM, a compact vision-language model that reformulates this task as generative reasoning: it jointly predicts skill level and generates expert-like feedback from egocentric and exocentric videos. Central to our method is an AttentiveGatedProjector that dynamically fuses multi-view features, projected from a frozen TimeSformer backb…

#Wordle 1,614 4/6*
⬜🟨⬜⬜🟨 <1% of 230,590 (16)
⬜🟩🟩🟩🟩 12% of 95 (2)
⬜🟩🟩🟩🟩 21% of 1,611 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 93/99
Luck 63/99
so it goes. I felt there were 2 probable words and 1 possible for my 3rd guess, it was the 2nd probable word. And the possible word wasn't a word

Apparently I have 1 skill rank in “Peeling bananas” and I also rolled a 1.

Writing a good #CLAUDE.md
https://www.humanlayer.dev/blog/writing-a-good-claude-md

Today, I designed, built and launched a small software application within very strict financial, security, hardware and software constraints.
Then I helped people with all levels of tech skill, and different hardware and software configurations, get it running with their own setups.
That's a lot of corporate speak and being vague, but it feels good to have it out in the world helping people: letting them get a very specific thing done better.

«Because people have varying needs across disparate contexts from assorted expectations with unequal skill levels using almost random technologies, never mind current moods and real-life distractions, to suggest one thing will be accessible for everyone in all those circumstances is pure hubris. Or lack of empathy. Maybe a mix.»
So obvious but underappreciated. AutSPACEs ran into that all the time. Often one person's accessibility is another person's barrier.
https://adrianroselli.com/2025/12/you-cant-make-something-accessible-to-everyone.html

Wise words from @….
Reflecting now on how often I find myself saying “Just show up, over and over, and do some work. Don’t worry about whether it’s enough, about whether you’re going to get an A. Just show up. Do some work.”
Wanting to get really good at [software dev skill]?
Worried about passing the class?
Not sure if you’re a Real Programmer yet?
Impostor feelings?
Horrified at politics?
Wanting to saving democracy?
Feeling powerless?
Anxious? Depressed? Panicking?
Show up. Work. https://mastodon.social/@grimalkina/115481201032837751

What was A practical skill very important when you were a teen (12-18), that is still still very useful today but most current teens no longer are able to do?
Think concrete stuff like remounting a bicycle chain, not abstract stuff like critical thinking.
For me it was definitely going to places without modern navigation aids.
Just look at a map and write down the rough route and asking directions if I couldn't find it.
And if I needed a train, I'd just look at t…

#Wordle 1,583 5/6*
⬜⬜⬜⬜⬜ <1% of 226,085 (1,006)
⬜🟨🟨⬜⬜ 4% of 28 (50)
⬜🟨⬜🟩🟩 0 of 1 (2)
⬜⬜🟨🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 91/99
Luck 36/99
sorta funny I thought of my 4th guess before I thought of the answer

Learning Multi-Skill Legged Locomotion Using Conditional Adversarial Motion Priors
Ning Huang, Zhentao Xie, Qinchuan Li
https://arxiv.org/abs/2509.21810 https://

Learning Multi-Skill Legged Locomotion Using Conditional Adversarial Motion Priors
Despite growing interest in developing legged robots that emulate biological locomotion for agile navigation of complex environments, acquiring a diverse repertoire of skills remains a fundamental challenge in robotics. Existing methods can learn motion behaviors from expert data, but they often fail to acquire multiple locomotion skills through a single policy and lack smooth skill transitions. We propose a multi-skill learning framework based on Conditional Adversarial Motion Priors (CAMP), w…

Selling stuff on eBay is so funny sometimes, like when someone extremely low-balls you and you decline their offer and then they message you with "What's your lowest?"
That's not how haggling works, you need to make a fair offer to the seller—it's a deeply human thing to negotiate about price, and both sides need to be respectful of each other.
I think haggling should be taught in school tbh. A real life skill.

Sonnet 024 - XXIV
Mine eye hath play'd the painter and hath steel'd,
Thy beauty's form in table of my heart;
My body is the frame wherein 'tis held,
And perspective it is best painter's art.
For through the painter must you see his skill,
To find where your true image pictur'd lies,
Which in my bosom's shop is hanging still,
That hath his windows glazed with thine eyes.
Now see what good turns eyes for eyes hav…

Bridging Cybersecurity Practice and Law: a Hands-on, Scenario-Based Curriculum Using the NICE Framework to Foster Skill Development
Colman McGuan, Aadithyan V. Raghavan, Komala M. Mandapati, Chansu Yu, Brian E. Ray, Debbie K. Jackson, Sathish Kumar
https://arxiv.org/abs/2509.17263

Bridging Cybersecurity Practice and Law: a Hands-on, Scenario-Based Curriculum Using the NICE Framework to Foster Skill Development
In an increasingly interconnected world, cybersecurity professionals play a pivotal role in safeguarding organizations from cyber threats. To secure their cyberspace, organizations are forced to adopt a cybersecurity framework such as the NIST National Initiative for Cybersecurity Education Workforce Framework for Cybersecurity (NICE Framework). Although these frameworks are a good starting point for businesses and offer critical information to identify, prevent, and respond to cyber incidents,…

Cowboys LB coach looking to Logan Wilson to bring this desperately-needed skill after bye https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/11/07/cowboys-dave-borgonzi-logan-wilson-takeaways-i…

A profile of Riley Walz, whose tech-related pranks in San Francisco blend technical skill with social commentary, including a viral site to track parking police (Heather Knight/New York Times)
https://www.nytimes.com/2…

The Tech Jester Who Pranks San Francisco
Riley Walz, 23, has gained fame for his online antics. His latest stunt has upset city officials.

The NFL's best at everything: Picking the top players at 109 different skills https://www.espn.com/nfl/story/_/id/47166741/best-nfl-players-109-different-skills-top-traits-stats-2025

Day 9: Eniko Fox
Edit: added a store link for Kitsune Tails.
We're back to videogames, and with another author who's on the fediverse: @…
Fox has developed a few games, but the one that I've played and love is Kitsune Tails. It's a sapphic romance take on Super Mario Bros. 3, and (critically for a platformer) it's got very crisp controls and runs smoothly. I think one thing a lot of indie platforms devs struggle with is getting those fundamentals right, because on the technical side they require very challenging things like optimization of your code and extremely careful input handling that go beyond the basic skills necessary to put together a game. From following her on Twitter and now the Fediverse, it's clear that Fox is a deeply competent programmer, and her games reflect that. Beyond the fundamentals, Kitsune Tails has a very sweet plot with a very cool twist in the middle, and without spoilers, that twist made both the levels and gameplay very difficult to design, but Fox rose to that challenge and put together a wonderful game. Particularly past the plot twist (but in subtle ways before it) Fox is able to build beyond SMB3 mechanics in ways that gracefully complement the original, and the movement in the game ends up being difficult but extremely satisfying, with an excellent skill/speed response allowing for both slower, easier approaches that work for a range of players and high-skill extremely-fast options for those who want to push themselves.
There have been plenty of people I follow with indie game projects that are kinda meh in the end, and I'll still boost them without much comment if they're decent. Fox' work is actually amazing, which is why if you've followed me for a while you'll know I tend to mention it periodically, and which is why she makes this list of authors I respect.
You can buy Kitsune Tails here: #20AuthorsNoMen

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation
Yifei Simon Shao, Yuchen Zheng, Sunan Sun, Pratik Chaudhari, Vijay Kumar, Nadia Figueroa
https://arxiv.org/abs/2510.01661

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Real-Time Long-Horizon Manipulation
Multi-step manipulation in dynamic environments remains challenging. Two major families of methods fail in distinct ways: (i) imitation learning (IL) is reactive but lacks compositional generalization, as monolithic policies do not decide which skill to reuse when scenes change; (ii) classical task-and-motion planning (TAMP) offers compositionality but has prohibitive planning latency, preventing real-time failure recovery. We introduce SymSkill, a unified learning framework that combines the b…

#Wordle 1,613 3/6*
⬜🟨⬜🟩⬜ <1% of 227,169 (32)
⬜⬜🟨🟩🟩 4% of 136 (2)
🟩🟩🟩🟩🟩 70% of 15,914
WordleBot
Skill 92/99
Luck 79/99
Thought of the word, then spent 4 minutes trying to find any other word, before using it!
There was another word, not sure it would ever have occurred to me, I had to look up its meaning.

Evaluating the Safety and Skill Reasoning of Large Reasoning Models Under Compute Constraints
Adarsha Balaji, Le Chen, Rajeev Thakur, Franck Cappello, Sandeep Madireddy
https://arxiv.org/abs/2509.18382

Skill, Will, or Both? Understanding Digital Inaccessibility from Accessibility Professionals' Viewpoint
P D Parthasarathy, Rachel F. Adler, Devorah Kletenik, Swaroop Joshi, Anshu M Mittal
https://arxiv.org/abs/2509.23287

Skill, Will, or Both? Understanding Digital Inaccessibility from Accessibility Professionals' Viewpoint
Digital inaccessibility continues to be a significant barrier to true inclusion and equality. WebAIM's 2024 report reveals that only 4.1% of the world's top one million website homepages are fully accessible. Furthermore, the percentage of web pages with detectable Web Content Accessibility Guidelines (WCAG) failures has only decreased by 1.9\% over the past five years, from 97.8%. To gain deeper insights into the persistent challenges of digital accessibility, we conducted a comprehensive surv…

Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
Kanglei Zhou, Qingyi Pan, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Xiaohui Liang, Liyuan Wang
https://arxiv.org/abs/2510.06842

Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
Action Quality Assessment (AQA) quantifies human actions in videos, supporting applications in sports scoring, rehabilitation, and skill evaluation. A major challenge lies in the non-stationary nature of quality distributions in real-world scenarios, which limits the generalization ability of conventional methods. We introduce Continual AQA (CAQA), which equips AQA with Continual Learning (CL) capabilities to handle evolving distributions while mitigating catastrophic forgetting. Although param…

#Wordle 1,582 5/6*
⬜🟩🟨⬜⬜ <1% of 225,984 (35)
⬜🟩⬜⬜🟩 0 of 2 (14)
⬜🟩⬜⬜🟩 0 of 0 (8)
🟩🟩⬜⬜🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 75/99
Luck 52/99
took a while, glad I got 1st letter on 4th guess. gotta run!

Differentiable Skill Optimisation for Powder Manipulation in Laboratory Automation
Minglun Wei, Xintong Yang, Yu-Kun Lai, Ze Ji
https://arxiv.org/abs/2510.01438 https://

Differentiable Skill Optimisation for Powder Manipulation in Laboratory Automation
Robotic automation is accelerating scientific discovery by reducing manual effort in laboratory workflows. However, precise manipulation of powders remains challenging, particularly in tasks such as transport that demand accuracy and stability. We propose a trajectory optimisation framework for powder transport in laboratory settings, which integrates differentiable physics simulation for accurate modelling of granular dynamics, low-dimensional skill-space parameterisation to reduce optimisatio…

Modeling Student Learning with 3.8 Million Program Traces
Alexis Ross, Megha Srivastava, Jeremiah Blanchard, Jacob Andreas
https://arxiv.org/abs/2510.05056 https://

Modeling Student Learning with 3.8 Million Program Traces
As programmers write code, they often edit and retry multiple times, creating rich "interaction traces" that reveal how they approach coding tasks and provide clues about their level of skill development. For novice programmers in particular, these traces reflect the diverse reasoning processes they employ to code, such as exploratory behavior to understand how a programming concept works, re-strategizing in response to bugs, and personalizing stylistic choices. In this work, we explore what ca…

Prompting in Practice: Investigating Software Developers' Use of Generative AI Tools
Daniel Otten, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Denys Poshyvanyk
https://arxiv.org/abs/2510.06000

Prompting in Practice: Investigating Software Developers' Use of Generative AI Tools
The integration of generative artificial intelligence (GenAI) tools has fundamentally transformed software development. Although prompt engineering has emerged as a critical skill, existing research focuses primarily on individual techniques rather than software developers' broader workflows. This study presents a systematic investigation of how software engineers integrate GenAI tools into their professional practice through a large-scale survey examining prompting strategies, conversation pat…

Artificial Intelligence-Powered Assessment Framework for Skill-Oriented Engineering Lab Education
Vaishnavi Sharma, Rakesh Thakur, Shashwat Sharma, Kritika Panjanani
https://arxiv.org/abs/2509.25258

Artificial Intelligence-Powered Assessment Framework for Skill-Oriented Engineering Lab Education
Practical lab education in computer science often faces challenges such as plagiarism, lack of proper lab records, unstructured lab conduction, inadequate execution and assessment, limited practical learning, low student engagement, and absence of progress tracking for both students and faculties, resulting in graduates with insufficient hands-on skills. In this paper, we introduce AsseslyAI, which addresses these challenges through online lab allocation, a unique lab problem for each student, …

#Wordle 1,612 3/6*
🟨⬜⬜⬜⬜ <1% of 230,331 (214)
🟨🟩⬜🟩⬜ 0 of 20 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 86/99
Luck 64/99
Very nice word choice by me today

Cowboys lose RB to IR, add two WRs to 54-man roster ahead of facing Panthers in Week 6 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/10/11/cowboys-roster-moves-see-back-to-ir-tw…

Information-Theoretic Policy Pre-Training with Empowerment
Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Michael Volpp, Joschka Boedecker
https://arxiv.org/abs/2510.05996

Information-Theoretic Policy Pre-Training with Empowerment
Empowerment, an information-theoretic measure of an agent's potential influence on its environment, has emerged as a powerful intrinsic motivation and exploration framework for reinforcement learning (RL). Besides for unsupervised RL and skill learning algorithms, the specific use of empowerment as a pre-training signal has received limited attention in the literature. We show that empowerment can be used as a pre-training signal for data-efficient downstream task adaptation. For this we extend…

#Wordle 1,581 6/6*
⬜⬜⬜⬜⬜ <1% of 226,582 (839)
⬜🟩⬜⬜⬜ 2% of 89 (23)
🟩🟩🟩⬜⬜ 0 of 2 (3)
🟩🟩🟩⬜⬜ 0 of 0 (2)
🟩🟩🟩⬜⬜ 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 91/99
Luck 34/99
Close one, fortunately I had eliminated so many letters I could only think of 1 word at the end.
Seems after my 3rd guess there were only 3 words left, and I tried them all, good thing I had 3 guesses left.

A Maxx Crosby Trade Makes the Cowboys Elite in 2025 https://insidethestar.com/a-maxx-crosby-trade-makes-the-cowboys-elite-in-2025

#Wordle 1,645 2/6*
⬜⬜⬜🟩🟨 <1% of 233,790 (6)
🟩🟩🟩🟩🟩 8% of 37
WordleBot
Skill 99/99
Luck 92/99
Rare, but always make me laugh, it's so unexpected!
And wow, my 1st word reduced the options to only 6

ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot Learning
Tomoyuki Kagaya, Subramanian Lakshmi, Anbang Ye, Thong Jing Yuan, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Yang You
https://arxiv.org/abs/2509.24219

ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot Learning
Robots trained via Reinforcement Learning (RL) or Imitation Learning (IL) often adapt slowly to new tasks, whereas recent Large Language Models (LLMs) and Vision-Language Models (VLMs) promise knowledge-rich planning from minimal data. Deploying LLMs/VLMs for motion planning, however, faces two key obstacles: (i) symbolic plans are rarely grounded in scene geometry and object physics, and (ii) model outputs can vary for identical prompts, undermining execution reliability. We propose ViReSkill,…

#Wordle 1,611 3/6*
⬜⬜⬜🟨🟨 <1% of 231,601 (13)
🟩⬜🟨🟩🟨 21% of 48 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 99/99
Luck 76/99
I really think it shouldn't have taken so long to figure out that 3rd word, but I did get there.

#Wordle 1,580 4/6*
⬜⬜⬜⬜🟨 <1% of 226,639 (219)
🟨⬜🟨⬜⬜ 13% of 165 (30)
⬜🟩🟩🟨⬜ 5% of 21 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 88/99
Luck 43/99
I really didn't think that was going to be the answer.
Wow my 3rd guess could have gone horribly wrong if the answer was different.

#Wordle 1,646 6/6*
⬜⬜⬜⬜⬜ <1% of 233,335 (507)
⬜🟨🟨⬜⬜ 0 of 20 (14)
🟨⬜🟨🟨🟨 0 of 0 (2)
⬜🟩🟩🟩🟩 0 of 0 (2)
⬜🟩🟩🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 70/99
Luck 35/99
I really thought I had it on my 4th guess, and then again on my 5th, and then I was worried. Of course I totally missed that I used an eliminated letter on my 4th guess!?!!

#Wordle 1,610 4/6*
🟩⬜⬜⬜⬜ <1% of 232,680 (49)
🟩🟩🟩⬜⬜ 2% of 332 (3)
🟩🟩🟩🟩⬜ 32% of 1,438 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 89/99
Luck 57/99
Wow, that's quite a staircase!

#Wordle 1,579 5/6*
🟩🟨⬜⬜⬜ <1% of 226,498 (58)
🟩⬜🟩⬜⬜ 14% of 336 (15)
🟩⬜🟩🟩⬜ 3% of 1127 (3)
🟩⬜🟩🟩🟨 23% of 175 (2)
🟩🟩🟩🟩🟩 27% of 4,390
WordleBot
Skill 91/99
Luck 41/99
Good word, a little tricky, my guesses really paid off in that I came up with the next guess pretty easily.
Hmm, I just guessed the 1st word I thought of for guess 5, just as well, I do see why so many went with the other word.

#Wordle 1,632 3/6*
⬜🟩🟨⬜⬜ <1% of 233,557 (33)
🟩🟩⬜⬜🟩 0 of 103 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 73/99
Luck 82/99
went quickly which is good, since it's a travel day for me. Guess 2 skill 46 luck 92

#Wordle 1,578 4/6*
⬜⬜⬜⬜⬜ <1% of 224,492 (619)
⬜⬜🟨🟨⬜ 0 of 87 (20)
🟨🟩🟨⬜⬜ 0 of 0 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 88/99
Luck 47/99
Yep, eliminating 5 letters on the 1st guess is very helpful
Fortunately I misspelled the other word when trying for my 4th guess, so I ended up w/ the right one.

#Wordle 1,609 4/6*
⬜🟨⬜⬜🟩 <1% of 226,291 (16)
⬜⬜🟨🟨🟩 5% of 58 (5)
⬜⬜🟨🟩🟩 25% of 4 (3)
🟩🟩🟩🟩🟩 8% of 24
WordleBot
Skill 70/99
Luck 54/99
I've had a bunch of 4's recently and I've been enjoying them because each step is a clue in the puzzle as I narrow down the answer. 2's & 3's feel like more luck and 5's and 6's are getting nerve racking.
4's are par, but also the sweet spot for fun!
And as it turns out, I was a little lucky today to get it on my 4th guess.
Bot was unintentionally funny on guess 2. I'll put that in my reply to this w/ the starting word under the CW.

#Wordle 1,631 3/6*
⬜⬜⬜🟨🟩 <1% of 232,908 (50)
⬜⬜🟨⬜🟩 11% of 44 (8)
🟩🟩🟩🟩🟩 33% of 6
WordleBot
Skill 83/99
Luck 67/99
Really thought there were lots of possible words left, and my 3rd choice wasn't likely. Bot agrees.
3rd guess lowered my skill a bunch with a 66 and raised my luck a lot with a 93.

#Wordle 1,608 4/6*
⬜⬜⬜⬜🟨 <1% of 227,420 (253)
⬜🟨⬜🟨⬜ 4% of 81 (38)
🟩⬜🟨🟨🟩 0 of 3 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 93/99
Luck 42/99
Another day another wordle! 😉
My sister just got her streak to 365 yesterday (for the 2nd time). I'm not at half that right now, got a long ways to go.

#Wordle 1,638 5/6*
⬜🟨⬜⬜⬜ <1% of 235,533 (423)
🟨⬜⬜🟨🟨 4% of 51 (6)
⬜🟨🟨🟨⬜ 0 of 24 (4)
⬜⬜🟩🟩🟩 0 of 0 (3)
🟩🟩🟩🟩🟩
WordleBot
Skill 70/99
Luck 52/99
User error on guess 3, not my best wordle, but glad I got it. After guess 4, 3 words left, 2 guesses and can only eliminate 1 word at a time, so I got lucky.

#Wordle 1,577 4/6*
⬜🟨⬜🟨⬜ <1% of 228,361 (73)
⬜🟨🟩⬜🟩 7% of 15 (3)
⬜⬜🟩🟩🟩 2% of 41 (2)
🟩🟩🟩🟩🟩 48% of 168
WordleBot
Skill 70/99
Luck 63/99
An average sort of wordle, not super quick but not a super struggle either.
3rd guess wasn't a wordle word, but a couple of others also tried it.

#Wordle 1,576 3/6*
⬜⬜⬜🟩🟩 <1% of 228,178 (13)
⬜⬜🟨🟩🟩 9% of 85 (5)
🟩🟩🟩🟩🟩 15% of 21
WordleBot
Skill 99/99
Luck 67/99
I think I lucked out based on what I'm hearing from others

#Wordle 1,607 4/6*
⬜⬜⬜⬜⬜ <1% of 224,354 (985)
⬜⬜🟨⬜⬜ 2% of 42 (57)
⬜🟩🟨⬜🟨 0 of 1 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 91/99
Luck 45/99
Busy day, did this earlier on my phone, can't say I remember much about it!

#Wordle 1,644 3/6*
⬜⬜🟨⬜🟨 <1% of 226,331 (71)
⬜⬜⬜🟩🟨 0 of 21 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 90/99
Luck 77/99
Wow the NYT is pulling no punches recently! Took a while to find this word, I suspect it's the only word that fit my clues...nope, there's another...hmm given my media likes I'm really sorta surprised that word didn't occur to me first!

#Wordle 1,575 6/6*
🟩🟨⬜⬜⬜ <1% of 230,186 (17)
🟩⬜⬜🟩🟩 4% of 25 (8)
🟩⬜🟩🟩🟩 0 of 2 (3)
🟩⬜🟩🟩🟩 0 of 0 (2)
🟩⬜🟩🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 94/99
Luck 41/99
I hate being in that test one letter at a time situation. Glad I ended up getting it though.
FWIW, my luck scores were:
88,23,37,33,25,-

#Wordle 1,606 6/6*
⬜⬜⬜⬜🟨 <1% of 215,096 (118)
🟨🟨⬜⬜⬜ 7% of 113 (6)
⬜🟨🟨⬜⬜ 44% of 9 (2)
🟨⬜⬜🟨🟨 2% of 568 (2)
⬜🟩🟨⬜🟩 14% of 230 (1)
🟩🟩🟩🟩🟩 95% of 7,947
WordleBot
Skill 64/99
Luck 40/99
Damn that was close, and user error on guess 4 and not a wordle word for guess 5. Those guesses still helped me eliminate a couple of letters and know where the 3 letters I had belong.

#Wordle 1,635 3/6*
⬜⬜⬜⬜⬜ <1% of 232,260 (1,134)
🟨⬜🟩🟨🟩 0 of 56 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 98/99
Luck 57/99
Even though today might have been better starting with my 2nd word, it was chosen because my starting word eliminated those 5 letters, I'm still always happy to have a starting word which eliminates all 5 letters.

#Wordle 1,605 4/6*
⬜⬜⬜🟨⬜ <1% of 225,177 (265)
⬜⬜🟨⬜🟨 3% of 67 (20)
🟩🟩⬜⬜🟩 33% of 3 (3)
🟩🟩🟩🟩🟩 36% of 7,685
WordleBot
Skill 97/99
Luck 38/99
Wasn't sure how this was going to go but, got lucky

#Wordle 1,634 3/6*
⬜🟨🟨⬜⬜ <1% of 232,431 (115)
🟩🟩⬜🟨⬜ 3% of 40 (2)
🟩🟩🟩🟩🟩 83% of 36
WordleBot
Skill 97/99
Luck 71/99
Saw some people get this in 2, had to wonder what was going on in their morning!

#Wordle 1,604 4/6*
⬜⬜🟨⬜⬜ <1% of 227,704 (274)
🟨⬜🟩⬜⬜ <1% of 465 (6)
🟩⬜🟩🟨⬜ 0 of 2 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 91/99
Luck 52/99
Good word, but I'm just glad I had some helpful guesses to get it in 4.

#Wordle 1,573 4/6*
⬜🟨⬜⬜⬜ <1% of 224,245 (175)
⬜⬜⬜🟨⬜ 0 of 107 (16)
⬜⬜🟩⬜🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 94/99
Luck 42/99
I was avoiding the letter my friend accidentally showed me was in the answer last night until it had to be used in my 4th guess. But it was basically a normal progression of guesses for me.

#Wordle 1,633 4/6*
🟨⬜⬜⬜⬜ <1% of 231,589 (314)
🟩🟩🟩⬜⬜ 0 of 9 (4)
🟩🟩🟩⬜⬜ 0 of 0 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 95/99
Luck 56/99
Well this is just a crazy wordle day. I start off with just typing the 1st 5 letter word that pops into my head, which when I looked at I had to wonder what I was thinking (obviously not). Then I get into 2 letter hell, but my 4th guess is the answer.
I'm just taking the win 🙂
Bot also wondered what I was thinking. It said: "Bold choice! Not what I would have picked, but I admire your creativity."

#Wordle 1,572 4/6*
⬜⬜🟨⬜🟨 <1% of 221,522 (68)
⬜🟨🟩🟨⬜ 5% of 21 (4)
⬜🟨🟩⬜🟨 12% of 83 (1)
🟩🟩🟩🟩🟩 88% of 9,089
WordleBot
Skill 96/99
Luck 62/99
Took a while to get from 3 to 4. In hindsight sort of funny!

#Wordle 1,603 5/6*
⬜🟨🟨⬜⬜ <1% of 233,257 (261)
⬜🟩🟩⬜🟩 0 of 26 (7)
⬜🟩🟩⬜🟩 0 of 0 (4)
⬜🟩🟩⬜🟩 0 of 0 (3)
🟩🟩🟩🟩🟩
WordleBot
Skill 87/99
Luck 52/99
I really had to wait to try that word until I tried all the others I could think of first!
I did not think of the other 2 possibilities that were there.

#Wordle 1,602 4/6*
⬜⬜🟨⬜🟨 <1% of 227,384 (147)
🟨⬜⬜🟨🟨 2% of 694 (6)
🟨🟩🟨🟩⬜ 25% of 125 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 89/99
Luck 55/99
Felt I had to be led to the answer and beat over the head with it! That's how it goes when you have 4 letter and know where 3 of them belong and have to walk through all of the remaining letters to find the word!

#Wordle 1,571 5/6*
⬜⬜⬜⬜⬜ <1% of 219,413 (539)
⬜⬜⬜⬜🟨 1% of 145 (30)
⬜🟨🟨🟨⬜ 0 of 1 (3)
⬜⬜🟩🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 94/99
Luck 29/99
That 4th guess was key!

#Wordle 1,643 3/6*
🟨🟨⬜⬜⬜ <1% of 230,077 (23)
🟩⬜⬜🟨⬜ 0 of 50 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 97/99
Luck 79/99
I feel there weren't many options for my 3rd guess...nope just the one. And I really liked my 2nd guess.

#Wordle 1,601 5/6*
⬜🟨⬜⬜⬜ <1% of 229,282 (277)
⬜⬜🟩⬜⬜ 0 of 31 (34)
🟨⬜🟩⬜🟩 0 of 0 (2)
⬜⬜🟩🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 93/99
Luck 35/99
I liked today's word, and despite not being the right word, I liked my 4th guess too and I'm glad I made it!

#Wordle 1,570 5/6*
⬜⬜⬜⬜🟨 <1% of 224,974 (376)
⬜⬜🟨🟨⬜ 0 of 15 (31)
🟨⬜🟨🟨🟨 0 of 0 (3)
🟨🟨⬜🟩🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 72/99
Luck 51/99
very apt once I got it. I just could not see it until it was forced on me! I really didn't think my 4th guess was spelled that way, but I had to try it.
So bot says 4th word wasn't a wordle word (with a very different meaning to the one I was thinking of).
I had thought of the other 2 words, but discounted them, and my 4th guess did eliminate them

#Wordle 1,630 4/6*
⬜🟨⬜⬜⬜ >1% of 228,180 (164)
⬜⬜🟩⬜⬜ 4% of 110 (14)
🟩🟨🟩⬜⬜ 0 of 4 (2)
🟩🟩🟩🟩🟩
WordleBot
Skill 93/99
Luck 45/99
I was pretty happy with my guesses today. Some days it's hard to find a word that tests what you want to test, but today I found words that did what I wanted :-)

#Wordle 1,600 4/6*
🟨⬜⬜⬜⬜ <1% of 228,863 (179)
🟩⬜⬜🟩⬜ 1% of 79 (8)
🟩🟨🟩🟩⬜ 0 of 4 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 92/99
Luck 48/99
Nothing to report, a straightforward effort today.

#Wordle 1,569 5/6*
🟨🟨⬜⬜⬜ <1% of 229,026 (169)
🟩🟩🟨🟨⬜ 0 of 146 (3)
🟩🟩🟩⬜🟩 0 of 0 (2)
🟩🟩🟩⬜🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 97/99
Luck 48/99
Well after my 2nd guess I was pretty sure there were 3 words left which I'd have to try 1 by 1. And I tried them all.

#Wordle 1,568 3/6*
⬜⬜🟨⬜🟨 0 of 228,833 (199)
🟨🟨🟨🟨🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 88/99
Luck 71/99
After my 1st guess I was a little worried, those aren't the letters I really want to know early on, eliminating them would have made me happier!
But, my 2nd guess really made up for it!
Also NO ONE ELSE chose my starting word today!

#Wordle 1,629 4/6*
⬜⬜⬜⬜⬜ <1% of 228,837 (622)
⬜⬜🟨🟨⬜ 14% of 7 (12)
⬜⬜⬜🟨🟨 0 of 1 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 90/99
Luck 48/99
Brought back images from my distant past!

#Wordle 1,599 4/6*
⬜⬜🟨⬜⬜ <1% of 227,657 (426)
⬜⬜⬜🟨🟩 1% of 346 (15)
⬜🟨🟩⬜🟩 0 of 5 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 95/99
Luck 48/99
I say that was a tricky word

#Wordle 1,567 3/6*
⬜⬜⬜🟩⬜ <1% of 223,355 (68)
⬜⬜🟩🟩🟩 3% of 116 (2)
🟩🟩🟩🟩🟩 71% of 1,749
WordleBot
Skill 87/99
Luck 69/99
I'm just gonna sit here and appreciate these wordle solutions while they're on a roll

#Wordle 1,598 4/6*
⬜⬜⬜⬜⬜ <1% of 229,258 (739)
⬜⬜🟨⬜🟩 0 of 1 (17)
⬜🟨⬜⬜🟩 0 of 0 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 86/99
Luck 43/99
Nice to have eliminated so many letters, the ones I had made choosing next guesses a little more difficult

#Wordle 1,628 5/6*
⬜⬜🟨🟨⬜ <1% of 231,265 (229)
⬜⬜🟨⬜🟩 2% of 272 (21)
⬜🟩🟩🟩🟩 27% of 11 (3)
⬜🟩🟩🟩🟩 47% of 3,242 (2)
🟩🟩🟩🟩🟩 64% of 3,956
WordleBot
Skill 92/99
Luck 45/99
I'm ok w/ this result, particularly since I'd rather have eliminated those 2 letters on my first guess rather than have to use them going forward. I only occasionally use them together in my starting word.