Tootfinder

interactome_stelzl: Stelzl human interactome (2005)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred via high-throughput Y2H experiments using bait and prey methodology.
This network has 1706 nodes and 6207 edges.
Tags: Biological, Protein interactions, Unweighted

Now in cats: Be careful out there ...
Spike in avian flu cases in cats triggers worry about human spillover:
https://www.cidrap.umn.edu/avian-influenza-bird-flu/spike-avian-flu-cases-cats-triggers-worry-about-human-spillover

It seems that chatting with AIs can either cause or trigger psychotic episodes
Please be careful. My suggestion, if you're using AI frequently, would be to tell someone you trust that you're using AI frequently, ask them to keep an eye on you, and even allow them to access your chat log.

People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies
Marriages and families are falling apart as people are sucked into fantasy worlds of spiritual prophecy by AI tools like OpenAI's ChatGPT

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Björk:
🎵 Human Behaviour
#Björk
https://mrrogers.bandcamp.com/track/bjork-human-behaviour-rogersrmx-2007
https://open.spotify.com/track/6MYYN85MjM7TARWshRwjyW

In Nature Human Behaviour, Peter Gleick calls on scientists who are able and willing to do so to speak out publicly against the Trump administration’s attack on science,
and argues that although dissent carries risks, it is riskier to stay silent.
http://go.nature.com/3FIV7cC

One way I see LLMs harming workers is workers being assigned impossible tasks on the assumption that "AI can do it" then holding them to account when it can't. Human takes the fall, AI takes the win.

Avoid the word "pedestrian." You marginalize a basic human activity when you give it a four-syllable Greek-derived name.
Say walk, on foot, foot traffic whenever you can.

Tell Alpert Medical School of Brown University to End Animal Use #AnimalRights

Tell Alpert Medical School of Brown University to End Animal Use
The medical school uses live pigs to train emergency medicine residents when 95 percent of surveyed programs use only human-based methods

EPA Administrator Zeldin vowed to protect human health and the environment. His proposed budget tells a different story
https://federalnewsnetwork.com/commentary/2025/06/epa-administrator-zeldin-vowed-to-protect-human-health-and-the-environment-his-proposed-budget-tells-a-different-story/

I’m unreasonably fucking pissed.
An r/me_irlgbt moderator banned me, and is now accusing me of being an A.I. … … … because I use fucking emdashes and ellipses.
#typography #AI #nightmaretimeline

SIGN THE PETITION: PROTECT HUMAN RIGHTS. STOP BILL C-2
Prime Minister Mark Carney ran a campaign on leading Canada through Trump’s tariffs & attacks on sovereignty & a cost-of-living crisis. Instead, his first piece of legislation, Bill C-2, is an attack on migrants & privacy rights straight out of the Trump playbook.
Bill C-2 drastically restricts refugee protection, allows for mass deportations & gives security officials unchecked power to access everyone’s data…

SIGN THE PETITION: PROTECT HUMAN RIGHTS. STOP BILL C-2 - Leadnow

from my link log —
Why do AI company logos look like arseholes?
https://velvetshark.com/ai-company-logos-that-look-like-buttholes
saved 2025-04-11

Why do AI company logos look like buttholes?
A humorous exploration of the uncanny resemblance between AI company logos and human anatomy. Discover why circular, gradient-based designs dominate the AI industry, and what this design convergence tells us about branding in tech.

Human cost of working on the railways revealed in database https://www.nationalarchives.gov.uk/about/news/human-cost-of-working-on-the-railways-revealed-in-database/

Human cost of working on the railways revealed in database - The National Archives
A new public database listing records about railway accidents is being launched at The National Archives on Thursday 5 June to coincide with Volunteers Week. The Railway Work, Life & Death project makes accessible information about 4,500 railway staff killed or injured at work between 1911-1923. It has been made possible because volunteers at The […]

Please, tell me again how anarchism is chaos.
If this whole sorry episode of human history shows us one thing, it’s not that “we don’t need leaders” but that the very concept of “leaders” is incompatible with the future of our species. Advanced civilisation cannot survive under these primitive hierarchies that concentrate inordinate amounts of power in the hands of a relative handful of individuals. Look at the sorry state of these danger clowns.
Either we find ways to devolve po…

Robert Reich (@rbreich@masto.ai)
Attached: 1 image Musk vs. Trump https://robertreich.substack.com/p/sunday-thought-ab9?utm_source=dlvr.it&utm_medium=mastodon

Another of my forays into AI ethics is just out! This time the focus is on the ethics (or lack thereof) of Reinforcement Learning Feedback (RLF) techniques aimed at increasing the 'alignment' of LLMs.
The paper is fruit of the joint work of a great team of collaborators, among whom @… and @…

Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback - Ethics and Information Technology
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinforcement Learning from Feedback methods, involving either human feedback (RLHF) or AI feedback (RLAIF). Specifically, we show the shortcomings of the broadly pursued alignment goals of honesty, harmlessness, and helpfulness. Through a multidisciplinary sociotechnical critique, we examine both the theoretical underpinni…

From Developer Pairs to AI Copilots: A Comparative Study on Knowledge Transfer
Alisa Welter, Niklas Schneider, Tobias Dick, Kallistos Weis, Christof Tinnes, Marvin Wyrich, Sven Apel
https://arxiv.org/abs/2506.04785

From Developer Pairs to AI Copilots: A Comparative Study on Knowledge Transfer
Knowledge transfer is fundamental to human collaboration and is therefore common in software engineering. Pair programming is a prominent instance. With the rise of AI coding assistants, developers now not only work with human partners but also, as some claim, with AI pair programmers. Although studies confirm knowledge transfer during human pair programming, its effectiveness with AI coding assistants remains uncertain. To analyze knowledge transfer in both human-human and human-AI settings, w…

If you think AI is more about human flourishing than advertising, just look at Zuckerberg's latest earnings call: "AI will make advertising a meaningfully larger share of global GDP than it is today"
https://finance.yahoo.com/news/the-ai-

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation
Chenhui Deng, Yun-Da Tsai, Guan-Ting Liu, Zhongzhi Yu, Haoxing Ren
https://arxiv.org/abs/2506.05566

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation
Recent advances in large language models (LLMs) have enabled near-human performance on software coding benchmarks, but their effectiveness in RTL code generation remains limited due to the scarcity of high-quality training data. While prior efforts have fine-tuned LLMs for RTL tasks, they do not fundamentally overcome the data bottleneck and lack support for test-time scaling due to their non-reasoning nature. In this work, we introduce ScaleRTL, the first reasoning LLM for RTL coding that scal…

We Animals Media – Bringing visibility to hidden animals worldwide through compelling photo and videojournalism. #AnimalRights

We Animals | Animal Photojournalism
Our mission at We Animals is to advocate for animals through photojournalism. Our global investigations and stories expose our complex relationships with animals, create ethical and cultural shifts in society, and empower human capacity for compassion and change.

This https://arxiv.org/abs/2505.10661 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration
Human-AI collaboration is increasingly relevant in consequential areas where AI recommendations support human discretion. However, human-AI teams' effectiveness, capability, and fairness highly depend on human perceptions of AI. Positive fairness perceptions have been shown to foster trust and acceptance of AI recommendations. Yet, work on confirmation bias highlights that humans selectively adhere to AI recommendations that align with their expectations and beliefs -- despite not being necessa…

The 79th edition of De Programmatica Ipsum is out!
This month, we explore trust and its importance in human society and culture; in the Library section, we review “Geekonomics” by David Rice; and in our Vidéothèque section, we watch a video on the Veritasium channel where Derek Muller hacks Linus Sebastian’s phone.
https://deprogrammaticaipsum.com/issue-79-trust/

This https://arxiv.org/abs/2506.03568 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
Autonomous driving promises significant advancements in mobility, road safety and traffic efficiency, yet reinforcement learning and imitation learning face safe-exploration and distribution-shift challenges. Although human-AI collaboration alleviates these issues, it often relies heavily on extensive human intervention, which increases costs and reduces efficiency. This paper develops a confidence-guided human-AI collaboration (C-HAC) strategy to overcome these limitations. First, C-HAC employ…

reactome: Joshi-Tope human protein interactome (2005)
A network of human proteins and their binding interactions, extracted from Reactome project. Nodes represent proteins and an edge represents a binding interaction between two proteins.
This network has 6327 nodes and 147547 edges.
Tags: Biological, Protein interactions, Unweighted
https:/…

["Overture" for Cats (2019) plays in the background]

@… @… Right! My goal with mentoring a human is to get them to the point where they don’t need me any more.
Not so with a word generator.

I just donated to the Tor Project because I support the human right to privacy. https://donate.torproject.org/

🦠 Microbiologists discover new species of methane-producing archaea in the human gut
https://phys.org/news/2025-04-microbiologists-species-methane-archaea-human.html

Microbiologists discover new species of methane-producing archaea in the human gut
An international team of microbiologists from the Medical University of Graz, the DSMZ—German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany)—and the University of Illinois (U.S.) has identified and described a previously unknown species of methane-producing archaea in the human gut: Methanobrevibacter intestini sp. nov. (strain WWM1085).

And this, people, is why Europe ABSOLUTELY NEEDS RIGHT FREAKING NOW its own human-graded space access system.
I'll never understand why nobody at #ESA thought of developping further the ATV in order to be also used to send people up instead of just cargo.
I know, the problem was mostly in bringing people down, as the ATV was designed to burn up in the atmosphere. But still. Now we…

rickf (@rickf@indieweb.social)
Attached: 1 image Dragon is what the US uses to resupply the ISS, for those that don't know...

The number of people in Gaza that Israel is killing every day - by bombing, shooting, and starving them - must be growing rapidly now. And the world hardly tries to stop it.
https://www.bbc.co.uk/news/live/cvg5vyp33j1t

Gaza worse than hell on Earth, Red Cross chief tells BBC as aid centres close for day - live updates
The president of the ICRC tells the BBC's international editor Jeremy Bowen Palestinians have been stripped of human dignity.

Self-powered artificial synapse mimics human color vision https://www.tus.ac.jp/en/mediarelations/archive/20250528_9424.html Polarity-tunable dye-sensitized optoelectronic artificial synapses for physical reservoir computing-based machine vision

Self-Powered Artificial Synapse Mimics Human Color Vision | Tokyo University of Science
Researchers develop an energy-efficient device with near-human color discrimination capabilities, demonstrating great po...

Vivodyne, which uses AI and robots to grow human tissues in the lab for drug discovery and development, raised a $40M Series A, taking its total funding to $78M (Katherine Davis/Axios)
https://www.axios.com/pro/biotech-deals/2025/05…

Vivodyne raises $40M for human tissue drug testing
It's seeing heightened demand following the FDA's plans to phase out animal testing requirements.

So Builder . ai Mechanical Turked things and Microsoft (and others) were none the wiser.
Due diligence: boring stuff that when you skip it with catch up with you fast.
“Builder . ai’s platform relied on around 700 engineers based in India who manually wrote code based on customer requests. Despite the company marketing it as AI-generated, most of the work was done by humans behind the scenes.”

London AI startup Builder.ai collapses after 'human-powered' tech revelation
London AI startup Builder.ai collapses after 'human-powered' tech revelation

"So, I climbed to the top of the pyramid of pain - now what?"
An interesting Human Layer Kill Chain framework.
#threatintel #threatintelligence
🔗

This https://arxiv.org/abs/2505.23397 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
This article presents a structured framework for Human-AI collaboration in Security Operations Centers (SOCs), integrating AI autonomy, trust calibration, and Human-in-the-loop decision making. Existing frameworks in SOCs often focus narrowly on automation, lacking systematic structures to manage human oversight, trust calibration, and scalable autonomy with AI. Many assume static or binary autonomy settings, failing to account for the varied complexity, criticality, and risk across SOC tasks c…

The National Oceanic and Atmospheric Administration, contracts must first go through an approval process led in part by a young man who worked as a Temple University food hall monitor last year.
A few weeks earlier, Politico reported on a different young man, just four years removed from high school, who was appointed to serve as the acting chief AI officer at the Department of Health and Human Services, while on leave from pursuing his undergraduate degree.
The problem is made w…

Despite talk of ‘meritocracy,’ a Team of Amateurs holds sway on Team Trump
One of the things that people outside of Washington, D.C., might not fully appreciate about how the city works is the outsize influence of young adults.

If the strictly neutral International Red Cross says this, you know it is very bad...
Gaza worse than hell on Earth, International Red Cross chief tells BBC as aid centres close for day
https://www.bbc.com/news/live/cvg5vyp33j1t?post=asse…

Gaza worse than hell on Earth, Red Cross chief tells BBC as aid centres close for day
The president of the ICRC tells the BBC's international editor Jeremy Bowen Palestinians have been stripped of human dignity.

Human rights committee blames Guatemala for forcing girl who was raped to carry out her pregnancy
https://www.yahoo.com/news/human-rights-committee-blames-guatemala-024206489.html

The Curse of Dimensionality: De-identification Challenges in the Sharing of Highly Dimensional Datasets
https://fpf.org/blog/the-curse-of-dimensionality-de-identification-challenges-in-the-sharing-of-highl…

Human sensory-musculoskeletal modeling and control of whole-body movements
Chenhui Zuo, Guohao Lin, Chen Zhang, Shanning Zhuang, Yanan Sui
https://arxiv.org/abs/2506.00071

Human sensory-musculoskeletal modeling and control of whole-body movements
Coordinated human movement depends on the integration of multisensory inputs, sensorimotor transformation, and motor execution, as well as sensory feedback resulting from body-environment interaction. Building dynamic models of the sensory-musculoskeletal system is essential for understanding movement control and investigating human behaviours. Here, we report a human sensory-musculoskeletal model, termed SMS-Human, that integrates precise anatomical representations of bones, joints, and muscle…

interactome_figeys: Figeys human interactome (2007)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred using a mass spectrometry‐based approach.
This network has 2239 nodes and 6452 edges.
Tags: Biological, Protein interactions, Unweighted

And by “prevent crime,” what they mean is AI will be able to automatically yell at homeless people to move along! Innovation!
https://mastodon.social/@eff/114626708912715793

Just published 🚀: Solving for the last mile
#artificialintelligence

This https://arxiv.org/abs/2505.23470 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Refining Labeling Functions with Limited Labeled Data
Programmatic weak supervision (PWS) significantly reduces human effort for labeling data by combining the outputs of user-provided labeling functions (LFs) on unlabeled datapoints. However, the quality of the generated labels depends directly on the accuracy of the LFs. In this work, we study the problem of fixing LFs based on a small set of labeled examples. Towards this goal, we develop novel techniques for repairing a set of LFs by minimally changing their results on the labeled examples suc…

This https://arxiv.org/abs/2505.20156 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters
Recent years have witnessed significant progress in audio-driven human animation. However, critical challenges remain in (i) generating highly dynamic videos while preserving character consistency, (ii) achieving precise emotion alignment between characters and audio, and (iii) enabling multi-character audio-driven animation. To address these challenges, we propose HunyuanVideo-Avatar, a multimodal diffusion transformer (MM-DiT)-based model capable of simultaneously generating dynamic, emotion-…

This is a good account of the ham-fisted use of AI in the MAHA report. AI has no understanding of science, and if it does get something right, it's because of the (human) choice of training materials. It's undisclosed use is dangerous and dishonest -like RFK Jr
https://www.washing…

White House MAHA Report may have garbled science by using AI, experts say
The report, led by Health and Human Services Secretary Robert F. Kennedy Jr., was intended to address the reasons for the decline in Americans’ life expectancy.

heise | heise Update vom 30. Mai 2025: Lesetipps fürs Wochenende
Der wöchentliche Newsletter von heise mit Schutz vor "Human Risk", Steuer-Apps, Deutschland-Stack, Synology-RAID nachbilden, Gefahr von Online-Glücksspiel

Yes, yes, yes, yes, @…! 👏
“For now, I’m planning on continuing to roll up my sleeves. I want to make things because I’m human and alive. I want to go on journeys and grow. I’m not always looking for an easy path, I want the friction. Because if I give up the journey, what am I really making? What do I actually learn?”

Design for universal wellbeing.

Why I avoid the term human-centric and what I mean by universal wellbeing.

https://axbom.com/design-for-universal-wellbeing/

Human-Centric Evaluation for Foundation Models
Yijin Guo, Kaiyuan Ji, Xiaorong Zhu, Junying Wang, Farong Wen, Chunyi Li, Zicheng Zhang, Guangtao Zhai
https://arxiv.org/abs/2506.01793

Human-Centric Evaluation for Foundation Models
Currently, nearly all evaluations of foundation models focus on objective metrics, emphasizing quiz performance to define model capabilities. While this model-centric approach enables rapid performance assessment, it fails to reflect authentic human experiences. To address this gap, we propose a Human-Centric subjective Evaluation (HCE) framework, focusing on three core dimensions: problem-solving ability, information quality, and interaction experience. Through experiments involving Deepseek R…

I may need to get back to doing illustrations again since it's been about a year that I took a break...
Hand drawn stuff (even if digitally) might be the future of human art with all this AI bullshit going on.
➡️ https://rasterweb.net/raster/projects/illustrations/

Illustrations
In March 2024 I started doing sketches on an iPad using Procreate and an Apple Pencil. As of writing this it's May 2024 and I'm still doing it. I'll try to keep this page updated with new illustrations as they are completed. Each illustration links to a page with more info about it, and some [...]

I consider these kinds of events to be nearly useless symbolism, preaching to the choir.
I do accept that these events are useful as means to meet others, but one should not expect these events to have even the slightest impact on the maga/white-nationalist/musk-ites... Nor do I think they have much impact on those who are in "the middle" and do not particularly engage in politics.
"Nearly 1,000 gather at Main Beach to create ‘Resist!’ human banner protesting Trum…

Nearly 1,000 gather at Main Beach to create ‘Resist!’ human banner protesting Trump administration
Around 1,000 people gathered Saturday morning at Santa Cruz Main Beach to spell out the word “Resist!” The event, organized by Indivisible Santa Cruz County, aimed to protest the Trump administration and celebrate Santa Cruz Pride’s 50th anniversary.

Here is my latest Human Meme podcast about "the us of us."
https://humanmeme.com/we-are-each-others-possibilities

Crowd-SFT: Crowdsourcing for LLM Alignment
Alex Sotiropoulos, Sulyab Thottungal Valapu, Linus Lei, Jared Coleman, Bhaskar Krishnamachari
https://arxiv.org/abs/2506.04063

Crowd-SFT: Crowdsourcing for LLM Alignment
Large Language Models (LLMs) increasingly rely on Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) to align model responses with human preferences. While RLHF employs a reinforcement learning approach with a separate reward model, SFT uses human-curated datasets for supervised learning. Both approaches traditionally depend on small, vetted groups of annotators, making them costly, prone to bias, and limited in scalability. We propose an open, crowd-sourced fine…

I used to fantasize about video games wowing audiences by using AI to do things previously impossible.
Voiceovers using your chosen character name.
A “teleport in” effect using a latent space walk for a unique look.
Fighting game CPU opponents that feel human.
Pokémon games with all 1,025 mons and dozens of animations each.
But my fantasy will never come true. The features might appear, but anything AI will produce more controversy than wowing.
Justifiabl…

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values
John P. Dickerson, Hadi Hosseini, Samarth Khanna, Leona Pierce
https://arxiv.org/abs/2506.00079

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values
The rapid integration of Large Language Models (LLMs) in high-stakes decision-making -- such as allocating scarce resources like donor organs -- raises critical questions about their alignment with human moral values. We systematically evaluate the behavior of several prominent LLMs against human preferences in kidney allocation scenarios and show that LLMs: i) exhibit stark deviations from human values in prioritizing various attributes, and ii) in contrast to humans, LLMs rarely express indec…

Human-in-the-loop: Real-time Preference Optimization
Wenbin Wang, Wenjie Xu, Colin N. Jones
https://arxiv.org/abs/2506.02225 https://…

Human-in-the-loop: Real-time Preference Optimization
Human-aware controllers play an important role in engineering systems for improving productivity, efficiency, and sustainability. It is essential to design such a controller that optimizes user utility while adhering to plant dynamics. While most online optimization algorithms rely on first-order or zeroth-order oracles, human feedback often appears as pairwise comparisons. In this work, we propose an online feedback optimization algorithm that leverages such preference feedback. We design a co…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Madonna:
🎵 Human Nature
#Madonna
https://ellemaxwell.bandcamp.com/track/human-nature
https://open.spotify.com/track/4Cna7QxOOTNnylVHLtShCi

"Only a tiny % of the deep seafloor has ever been visually observed: Study"
#Oceans #Environment

Only a tiny % of the deep seafloor has ever been visually observed: Study
For national and international policymakers, decisions on how to regulate — and whether to allow — exploitative human activities such as deep-sea mining require good information. A new study suggests that when it comes to the ocean floor, they may not have it. Only 0.001% of the deep seafloor has ever been captured by photo […]

Interested in how #architecture can be understood sociologically?
In this podcast hosted by Alon Schwartz, I'm discussing how architecture can integrate human needs and usage processes in workplaces
So much fun to rise to the deep and challenging questions Alon threw at me

space design with Kerstin sailer- Sociology and Architecture
עיצוב מרחב עם אלון שוורץ · Episode

You just know somewhere there's a bug saying, "I am not a human being! I am a bug!" Prideful bug.

This https://arxiv.org/abs/2504.14305 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-body coordination in humanoid robots remains challenging, as conventional approaches that mimic whole-body motions often neglect the distinct roles of upper and lower body. This oversight leads to computationally intensive policy learning and frequently causes robot instability and falls during real-world execution. To address these issues, we propose Adversarial Locomotion and Motion Imitation (ALMI…

Opinion | Trump Is Helping Human Rights Abusers. I’m Suing to Stop Him. - The New York Times
https://www.nytimes.com/2025/06/06/opinion/trump-lawsuit-icc-suing.html

This https://arxiv.org/abs/2504.02234 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

LLM Social Simulations Are a Promising Research Method
Accurate and verifiable large language model (LLM) simulations of human research subjects promise an accessible data source for understanding human behavior and training new AI systems. However, results to date have been limited, and few social scientists have adopted this method. In this position paper, we argue that the promise of LLM social simulations can be achieved by addressing five tractable challenges. We ground our argument in a review of empirical comparisons between LLMs and human r…

The UK Conservative Party is in disarray. Since 1979, they have implemented changes with unintended consequences. Water privatisation, sale of social housing, deregulation of building societies, privatisation of railways, and leaving the EU.
Now they are considering withdrawing from the European Convention on Human Rights, born out of the ashes of the 1930s and 40s in Europe and World War 2.
Which of the 16 Articles do they really believe we should not be protected by?

A look at Australian startup Cortical Labs' CL1, billed as the first code-deployable biological computer, with 115 units shipping this summer at $35K each (Shannon Cuthrell/IEEE Spectrum)
https://spectrum.ieee.org/biological-computer-for-sale

Human Brain Cells on a Chip for Sale

World-first biocomputing platform hits the market

Um... Excuse me, that's my view.

This https://arxiv.org/abs/2505.23585 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

On-Policy RL with Optimal Reward Baseline
Reinforcement learning algorithms are fundamental to align large language models with human preferences and to enhance their reasoning capabilities. However, current reinforcement learning algorithms often suffer from training instability due to loose on-policy constraints and computational inefficiency due to auxiliary models. In this work, we propose On-Policy RL with Optimal reward baseline (OPO), a novel and simplified reinforcement learning algorithm designed to address these challenges. O…

This https://arxiv.org/abs/2502.00698 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
IQ testing has served as a foundational methodology for evaluating human cognitive capabilities, deliberately decoupling assessment from linguistic background, language proficiency, or domain-specific knowledge to isolate core competencies in abstraction and reasoning. Yet, artificial intelligence research currently lacks systematic benchmarks to quantify these critical cognitive capabilities in multimodal systems. To address this crucial gap, we propose MM-IQ, a comprehensive evaluation framew…

This https://arxiv.org/abs/2505.16512 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Beyond Face Swapping: A Diffusion-Based Digital Human Benchmark for Multimodal Deepfake Detection
In recent years, the rapid development of deepfake technology has given rise to an emerging and serious threat to public security: diffusion model-based digital human generation. Unlike traditional face manipulation methods, such models can generate highly realistic videos with consistency through multimodal control signals. Their flexibility and covertness pose severe challenges to existing detection strategies. To bridge this gap, we introduce DigiFakeAV, the first large-scale multimodal digi…

This https://arxiv.org/abs/2504.17959 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

CIVIL: Causal and Intuitive Visual Imitation Learning
Today's robots learn new tasks by imitating human examples. However, this standard approach to visual imitation learning is fundamentally limited: the robot observes what the human does, but not why the human chooses those behaviors. Without understanding the features that factor into the human's decisions, robot learners often misinterpret the data and fail to perform the task when the environment changes. We therefore propose a shift in perspective: instead of asking human teachers just to sh…

Can adults grow new brain cells? https://www.livescience.com/health/neuroscience/can-adults-grow-new-brain-cells "Scientists are still debating whether the human brain is capable of growing new cells past childhood"

Can adults grow new brain cells?
Scientists are still debating whether the human brain is capable of growing new cells past childhood.

"The destruction of the climate by industrial processes is a real-world problem. If programming language selection has no impact on it, then maybe we’re all just wasting our time, creating shiny consumer distractions to make the last few years of humanity that little more palatable for the richest 1% of the world’s human population."

Choosing A Programming Language
Selecting the correct programming language for a particular task often feels like a bunfight. Suggestions are thrown around based on the individual's preferences and desires. The experience is very likely to leave one feeling that programming is an art, rather than a science.

Human Attention During Localization of Memory Bugs in C Programs
Emory Smith, Robert Wallace, Matthew Robison, Yu Huang, Collin McMillan
https://arxiv.org/abs/2506.00693

Human Attention During Localization of Memory Bugs in C Programs
This paper presents a study of human visual attention during localization of memory bugs in C. Human visual attention refers to the mechanical processes by which we selectively process and prioritize information. Visual attention is important to study because it is central to what information people (who are sighted) use to solve a particular problem. Meanwhile, memory bugs are among the most common types of bugs in C programs that manifest as a variety of program faults. In this paper, we stud…

Exploring listeners' perceptions of AI-generated and human-composed music for functional emotional applications
Kimaya Lecamwasam, Tishya Ray Chaudhuri
https://arxiv.org/abs/2506.02856

Exploring listeners' perceptions of AI-generated and human-composed music for functional emotional applications
This work investigates how listeners perceive and evaluate AI-generated as compared to human-composed music in the context of emotional resonance and regulation. Across a mixed-methods design, participants were exposed to both AI and human music under various labeling conditions (music correctly labeled as AI- or human-origin, music incorrectly labeled as AI- or human-origin, and unlabeled music) and emotion cases (Calm and Upbeat), and were asked to rate preference, efficacy of target emotion …

The Washington Post could soon allow non-professional writers to submit opinion columns using an AI writing coach known as Ember,
according to a report from The New York Times.
The move is reportedly part of a broader initiative to open the paper to outside opinion pieces, including from other publications, Substack writers, and amateur columnists.
Sources tell the Times that Ember “could automate several functions normally provided by human editors,”
including by offe…

The Washington Post is planning to let amateur writers submit columns — with the help of AI
The Washington Post is planning a new initiative that will allow non-professional writers to submit opinion pieces using an AI-powered writing coach, called Ember, according to The New York Times.

Epic Games launches MetaHuman, its game developer tool to quickly create realistic digital human characters, now embedded as part of Unreal Engine 5.6 (Jay Peters/The Verge)
https://www.theverge.com/news/678403/epic-games-metahumans-unreal-engine

Epic is making it easier to create MetaHumans
Epic Games’ announced at its State of Unreal show MetaHuman Creator is now embedded within Unreal Engine and that they can be used in engines like Unity and Godot.

‘Who Can I Talk to That Has a Human Heart?’: New York Times doubles down on harming trans people — Assigned
https://www.assignedmedia.org/breaking-news/new-york-times-plays-hardball-with-devastated-mom

This https://arxiv.org/abs/2505.24492 has been replaced.
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Object Centric Concept Bottlenecks
Developing high-performing, yet interpretable models remains a critical challenge in modern AI. Concept-based models (CBMs) attempt to address this by extracting human-understandable concepts from a global encoding (e.g., image encoding) and then applying a linear classifier on the resulting concept activations, enabling transparent decision-making. However, their reliance on holistic image encodings limits their expressiveness in object-centric real-world settings and thus hinders their abilit…

This https://arxiv.org/abs/2505.01651 has been replaced.
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Human-AI Governance (HAIG): A Trust-Utility Approach
This paper introduces the HAIG framework for analysing trust dynamics across evolving human-AI relationships. Current categorical frameworks (e.g., "human-in-the-loop" models) inadequately capture how AI systems evolve from tools to partners, particularly as foundation models demonstrate emergent capabilities and multi-agent systems exhibit autonomous goal-setting behaviours. As systems advance, agency redistributes in complex patterns that are better represented as positions along continua rat…

This https://arxiv.org/abs/2505.15173 has been replaced.
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AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection
The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, particularly in video generation, has led to unprecedented creative capabilities but also increased threats to information integrity, identity security, and public trust. Existing detection methods, while effective in general scenarios, lack robust solutions for human-centric videos, which pose greater risks due to their realism and potential for legal and ethical misuse. Moreover, current detection approach…

"Jim Coplien ends his talk with a simple call to action: at every conference where new technology is introduced, software engineers should strive to be skeptical; to ask whether it improves the quality of life of society as a whole, and to take it home only to increase the human value of our products and services.
Focus on the people. Again and again. Because that is what Agile and OOP were all about, to begin with."
https://deprogrammaticaipsum.com/james-coplien/

Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams
Mohammed Almutairi
https://arxiv.org/abs/2506.05265 http…

Teaming in the AI Era: AI-Augmented Frameworks for Forming, Simulating, and Optimizing Human Teams
Effective teamwork is essential across diverse domains. During the team formation stage, a key challenge is forming teams that effectively balance user preferences with task objectives to enhance overall team satisfaction. In the team performing stage, maintaining cohesion and engagement is critical for sustaining high team performance. However, existing computational tools and algorithms for team optimization often rely on static data inputs, narrow algorithmic objectives, or solutions tailore…

Object-centric 3D Motion Field for Robot Learning from Human Videos
Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
https://arxiv.org/abs/2506.04227 https://

Object-centric 3D Motion Field for Robot Learning from Human Videos
Learning robot control policies from human videos is a promising direction for scaling up robot learning. However, how to extract action knowledge (or action representations) from videos for policy learning remains a key challenge. Existing action representations such as video frames, pixelflow, and pointcloud flow have inherent limitations such as modeling complexity or loss of information. In this paper, we propose to use object-centric 3D motion field to represent actions for robot learning …

This https://arxiv.org/abs/2505.24139 has been replaced.
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S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation
The latest advancements in multi-modal large language models (MLLMs) have spurred a strong renewed interest in end-to-end motion planning approaches for autonomous driving. Many end-to-end approaches rely on human annotations to learn intermediate perception and prediction tasks, while purely self-supervised approaches--which directly learn from sensor inputs to generate planning trajectories without human annotations often underperform the state of the art. We observe a key gap in the input re…

Neuralink raised a $650M Series E from ARK Invest, Founders Fund, G42, Human Capital, Sequoia, Thrive, and others; it was reportedly valued at ~$9B pre-money (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/02/elon-musks-neuralink-closes-a-65…

Elon Musk's Neuralink closes a $650M Series E | TechCrunch
Elon Musk's brain chip implant startup Neuralink raised a $650 million Series E funding round, the company announced.

This https://arxiv.org/abs/2407.18950 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Unexplainability of Artificial Intelligence Judgments in Kant's Perspective
Kant's Critique of Pure Reason, a major contribution to the history of epistemology, proposes a table of categories to elucidate the structure of the a priori principles underlying human judgment. Artificial intelligence (AI) technology, grounded in functionalism, claims to simulate or replicate human judgment. To evaluate this claim, it is necessary to examine whether AI judgments exhibit the essential characteristics of human judgment. This paper investigates the unexplainability of AI judgme…

This https://arxiv.org/abs/2504.17934 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents
The rise of Large Language Models (LLMs) has revolutionized Graphical User Interface (GUI) automation through LLM-powered GUI agents, yet their ability to process sensitive data with limited human oversight raises significant privacy and security risks. This position paper identifies three key risks of GUI agents and examines how they differ from traditional GUI automation and general autonomous agents. Despite these risks, existing evaluations focus primarily on performance, leaving privacy an…

Active inference as a unified model of collision avoidance behavior in human drivers
Julian F. Schumann, Johan Engstroem, Leif Johnson, Matthew O'Kelly, Joao Messias, Jens Kober, Arkady Zgonnikov
https://arxiv.org/abs/2506.02215

Active inference as a unified model of collision avoidance behavior in human drivers
Collision avoidance -- involving a rapid threat detection and quick execution of the appropriate evasive maneuver -- is a critical aspect of driving. However, existing models of human collision avoidance behavior are fragmented, focusing on specific scenarios or only describing certain aspects of the avoidance behavior, such as response times. This paper addresses these gaps by proposing a novel computational cognitive model of human collision avoidance behavior based on active inference. Activ…

Aaron Huertas: "“I’m just going to say it, shame on any of us who throws a trans child under the bus for thinking they’re going to get elected. That child deserves our support. Don’t worry about the pollsters calling it distractions, because we need to be the party of human dignity.”" — Bluesky
https://bsky.app/profile/did:plc:hwb7xa7tn2li2ozdijlw3w7h/post/3lqst33ujgc2c

David Cope, a composer and algorithmic composition pioneer who created a program in the 1980s to write music in the style of Bach and others, died at age 83 (Miguel Salazar/New York Times)
https://www.nytimes.com/2025/06/02/technology/david-cope-dead-ai…

David Cope, Godfather of A.I. Music, Is Dead at 83
His EMI algorithm, an early form of artificial intelligence that he developed in the 1980s, prompted searching questions about the limits of human creativity.

This https://arxiv.org/abs/2410.06415 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Biased AI can Influence Political Decision-Making
As modern large language models (LLMs) become integral to everyday tasks, concerns about their inherent biases and their potential impact on human decision-making have emerged. While bias in models are well-documented, less is known about how these biases influence human decisions. This paper presents two interactive experiments investigating the effects of partisan bias in LLMs on political opinions and decision-making. Participants interacted freely with either a biased liberal, biased conser…

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe
https://arxiv.org/abs/2506.00582

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Psychology research has shown that humans are poor at estimating their performance on tasks, tending towards underconfidence on easy tasks and overconfidence on difficult tasks. We examine three LLMs, Llama-3-70B-instruct, Claude-3-Sonnet, and GPT-4o, on a range of QA tasks of varying difficulty, and show that models exhibit subtle differences from human patterns of overconfidence: less sensitive to task difficulty, and when prompted to answer based on different personas -- e.g., expert vs laym…

This https://arxiv.org/abs/2201.03074 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Survey of Passive Sensing for Workplace Wellbeing and Productivity
The modern workplace is undergoing a radical transformation, driven by technological advances that blur the boundaries between human capability and digital augmentation. At the forefront of this evolution is passive sensing technology - a suite of tools that quietly monitor and interpret human behavior without active user engagement. This paper examines how these technologies are reshaping our understanding of workplace dynamics, with a particular focus on employee wellbeing and productivity. T…

This https://arxiv.org/abs/2505.24266 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

SignBot: Learning Human-to-Humanoid Sign Language Interaction
Sign language is a natural and visual form of language that uses movements and expressions to convey meaning, serving as a crucial means of communication for individuals who are deaf or hard-of-hearing (DHH). However, the number of people proficient in sign language remains limited, highlighting the need for technological advancements to bridge communication gaps and foster interactions with minorities. Based on recent advancements in embodied humanoid robots, we propose SignBot, a novel framew…

Neural and Cognitive Impacts of AI: The Influence of Task Subjectivity on Human-LLM Collaboration
Matthew Russell, Aman Shah, Giles Blaney, Judith Amores, Mary Czerwinski, Robert J. K. Jacob
https://arxiv.org/abs/2506.04167

Neural and Cognitive Impacts of AI: The Influence of Task Subjectivity on Human-LLM Collaboration
AI-based interactive assistants are advancing human-augmenting technology, yet their effects on users' mental and physiological states remain under-explored. We address this gap by analyzing how Copilot for Microsoft Word, a LLM-based assistant, impacts users. Using tasks ranging from objective (SAT reading comprehension) to subjective (personal reflection), and with measurements including fNIRS, Empatica E4, NASA-TLX, and questionnaires, we measure Copilot's effects on users. We also evaluate …

This https://arxiv.org/abs/2412.01753 has been replaced.
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Human-Machine Interfaces for Subsea Telerobotics: From Soda-straw to Natural Language Interactions
This review explores the evolution of human-machine interfaces (HMIs) in subsea telerobotics, charting the progression from traditional first-person "soda-straw" consoles -- characterized by narrow field-of-view camera feeds -- to contemporary interfaces leveraging gesture recognition, virtual reality, and natural language processing. We systematically analyze the state-of-the-art literature through three interrelated perspectives: operator experience (including immersive feedback, cognitive wo…

This https://arxiv.org/abs/2505.20290 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

EgoZero: Robot Learning from Smart Glasses
Despite recent progress in general purpose robotics, robot policies still lag far behind basic human capabilities in the real world. Humans interact constantly with the physical world, yet this rich data resource remains largely untapped in robot learning. We propose EgoZero, a minimal system that learns robust manipulation policies from human demonstrations captured with Project Aria smart glasses, $\textbf{and zero robot data}$. EgoZero enables: (1) extraction of complete, robot-executable ac…

[2025-06-06 Fri (UTC), 10 new articles found for cs.HC Human-Computer Interaction]
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This https://arxiv.org/abs/2505.21581 has been replaced.
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CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving
While end-to-end autonomous driving has advanced significantly, prevailing methods remain fundamentally misaligned with human cognitive principles in both perception and planning. In this paper, we propose CogAD, a novel end-to-end autonomous driving model that emulates the hierarchical cognition mechanisms of human drivers. CogAD implements dual hierarchical mechanisms: global-to-local context processing for human-like perception and intent-conditioned multi-mode trajectory generation for cogn…