omg.. Grok 4 Heavy is INSANE for game dev
SuperGrok builds your game prototype in mins, then bring it to Cursor, drop it into Grok 4 MAX, it’s like coding with an AI agent that work 24/7
Idea → Prototype → Code → Done
10 crazy examples:
SceneScript treats 3D reconstruction as a language problem rather than a geometry one.
The model watches a video of a room and just learns to write a script for it. It autoregressively spits out text commands like make_wall(...) or make_bbox(...) that define the scene.
Stanford's new "Scene Language" paper goes a step further adding CLIP embeddings to capture visual appearance too.
The fact that language models already understand spatial relationships well enough to write out scene graphs is pretty wild.
We made it to the final day of #CHI2025! Thank you all for engaging with your full enthusiasm in the pursuit of #ikiCHI as a vibrant community. See you in Barcelona #CHI2026!
🚨 Studies are starting to show what many of us feared: AI use might lead to overreliance and human disempowerment. Below is the SHOCKING conclusion of this particular study [download for future reference]:
"1. We surveyed 319 knowledge workers who use GenAI tools (e.g., ChatGPT, Copilot) at work at least once per week, to model how they enact critical thinking when using GenAI tools, and how GenAI affects their perceived effort of thinking critically. Analysing 936 real-world GenAI tool use examples our participants shared, we find that knowledge workers engage in critical thinking primarily to ensure the quality of their work, e.g. by verifying outputs against external sources.
2. Moreover, while GenAI can improve worker efficiency, it can inhibit critical engagement with work and can potentially lead to long-term overreliance on the tool and diminished skill for independent problem-solving.
3. Higher confidence in GenAI’s ability to perform a task is related to less critical thinking effort.
4. When using GenAI tools, the effort invested in critical thinking shifts from information gathering to information verification; from problem-solving to AI response integration; and from task execution to task stewardship.
5. Knowledge workers face new challenges in critical thinking as they incorporate GenAI into their knowledge workflows.
6. To that end, our work suggests that GenAI tools need to be designed to support knowledge workers’ critical thinking by addressing their awareness, motivation, and ability barriers."
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➡️ Comments:
- It would be interesting to see more studies like this, especially with larger samples and focusing on different occupations, demographics, and use patterns;
- The paper focuses on Generative AI; it will be interesting to see a similar study focused on advanced AI agents, especially as their popularity grows.
👉 Download & read the full paper "The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers" by @hankhplee@AdvaitSarkar, Lev Tankelevitch, @iandrosos, @seanrintel, Richard Banks & Nicholas Wilson below.
👉 NEVER MISS my AI governance updates, including must-read research papers like this one: join 51,800+ people who subscribe to my weekly newsletter (below).
Cognitive biases in clinical decision-making lead to diagnostic errors. Our study shows that #LLMs, through a multi-agent framework, can help re-evaluate and correct misconceptions, enhancing diagnostic accuracy.
https://t.co/a3378Kc8iz
#AI#Healthcare#Diagnostics#MedTech
Hi, I am seeking one student for PhD in 25 Fall. Anyone passionate about HCI research with a focus on HEALTH is welcome to apply and reach out. Please email me your CV and brief descriptions of your preferred research topics, with the subject [PhD Application]. #hci#PHD
(1/n) Can large language models simulate patients with mental health conditions?
We introduce Patient-Ψ🤖, where we integrate cognitive modeling with LLMs to simulate patients for training mental health professionals.
📎Paper link: https://t.co/Ctuqw8yAek
Human-centered AI needs social sector voices! That’s why we created a new education program focused solely on this sector. The experience is designed to help senior professionals lead the way in AI innovation and governance. See you there! https://t.co/qcIPzqZryu
⚡️ Excited to share that I am starting an AI+Education company called Eureka Labs.
The announcement:
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We are Eureka Labs and we are building a new kind of school that is AI native.
How can we approach an ideal experience for learning something new? For example, in the case of physics one could imagine working through very high quality course materials together with Feynman, who is there to guide you every step of the way. Unfortunately, subject matter experts who are deeply passionate, great at teaching, infinitely patient and fluent in all of the world's languages are also very scarce and cannot personally tutor all 8 billion of us on demand.
However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted).
Our first product will be the world's obviously best AI course, LLM101n. This is an undergraduate-level class that guides the student through training their own AI, very similar to a smaller version of the AI Teaching Assistant itself. The course materials will be available online, but we also plan to run both digital and physical cohorts of people going through it together.
Today, we are heads down building LLM101n, but we look forward to a future where AI is a key technology for increasing human potential. What would you like to learn?
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@EurekaLabsAI is the culmination of my passion in both AI and education over ~2 decades. My interest in education took me from YouTube tutorials on Rubik's cubes to starting CS231n at Stanford, to my more recent Zero-to-Hero AI series. While my work in AI took me from academic research at Stanford to real-world products at Tesla and AGI research at OpenAI. All of my work combining the two so far has only been part-time, as side quests to my "real job", so I am quite excited to dive in and build something great, professionally and full-time.
It's still early days but I wanted to announce the company so that I can build publicly instead of keeping a secret that isn't. Outbound links with a bit more info in the reply!
🤔Can LLM agents really simulate human behaviors?
🌟Our new paper "Can Large Language Model Agents Simulate Human Trust Behaviors?" (Project website: https://t.co/FK21itJm7R) provides some new insights into this fundamental problem.
✨TLDR: We discover the trust behaviors of LLM agents under the framework of Trust Games, and the high behavioral alignment between LLM agents and humans regarding the trust behaviors, particularly for GPT-4, indicating the feasibility to simulate human trust behaviors with LLM agents.
⭐Our findings provide deep insights on the behaviors of LLM agents, open new directions for understanding the fundamental analogy between LLMs and humans beyond value alignment, and pave the way for simulating complex human interactions and social systems where trust is of great importance.
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The Call for Papers (CFP) of #CHI2025 has been announced! The deadline for paper submissions is September 12th (AoE). Please remember that abstracts/metadata must be submitted by September 5th (AoE). For more detailed information, please visit: https://t.co/Ml7nixNvK8
📢Excited to share "👨🏻🏫👨🏻💻𝐂𝐨𝐀𝐜𝐭: A Global-Local Hierarchy for Autonomous Agent Collaboration"
🎏Transfer hierarchical patterns in human society to LLM systems
🌟Extensive analysis provides insights in where it improves and how it can be further improved
https://t.co/ZbXZLnfxAK
The one paper I can't stop thinking about from #CHI2024 is the nocebo effect paper: "The Placebo effect is robust to negative descriptions of AI". This was really stellar work with wide ramifications for the field. Should've gotten Best Paper. https://t.co/GIUeaSXYPZ
My doctoral proposal critique, the final step before the defense, is tomorrow at 2pm ET. If you are interested in "Cyborg Psychology" and AI for Human Flourishing, please attend in person or watch online via the Zoom link below: https://t.co/fAgDKKYMp7
Hiring a #postdoc, open topic in the space of #HCI + #Haptics, especially if related to Virtual Reality and/or illusion. If you have interest in working with us, please contact me!
https://t.co/7snUEh70Az