"Tesla self-certifies level 4 autonomous vehicles in Texas."
"A new Texas law allows companies with SAE Level 4 or higher autonomous vehicles to offer commercial driverless transportation."
https://www.notateslaapp.com/news/4216/tesla-self-certifies-l4-autonomy-in-texas
#solidstatelife #ai #computervision #autonomousvehicles #tesla
"I audited 200 Claude Code skills. 26 were trying to steal your tokens."
Claims the home page of SkillVault, a commercial service ($129) for Claude skills. A "skill" is just a set of instructions in natural language to Claude on how to do things (format a weekly report, adhere to a company's brand guidelines, analyze data using a specific methodology, etc). Like a prompt, but reusable.
The technical debt behind the AI boom.
"AI-assisted development creates persistent debt, not just temporary low-quality code. AI-assisted software development changes how technical debt enters and remains in production systems."
AI coding assistants are now widely used in software development. Software developers increasingly integrate AI-generated code into their codebases to improve productivity. Prior studies have shown that AI-generated code may contain code quality issues under controlled settings. However, we still know little about the real-world impact of AI-generated code on software quality and maintenance after it is introduced into production repositories. In other words, it remains unclear whether such issues are quickly fixed or persist and accumulate over time as technical debt. In this paper, we conduct a large-scale empirical study on the technical debt introduced by AI coding assistants in the wild. To achieve that, we built a dataset of 302.6k verified AI-authored commits from 6,299 GitHub repositories, covering five widely used AI coding assistants. For each commit, we run static analysis before and after the change to precisely attribute which code smells, correctness issues, and security issues the AI introduced. We then track each introduced issue from the introducing commit to the latest repository revision to study its lifecycle. Our results show that we identified 484,366 distinct issues, and that code smells are by far the most common type, accounting for 89.3% of all issues. We also find that more than 15% of commits from every AI coding assistant introduce at least one issue, although the rates vary across tools. More importantly, 22.7% of tracked AI-introduced issues still survive at the latest version of the repository. These findings show that AI-generated code can introduce long-term maintenance costs into real software projects and highlight the need for stronger quality assurance in AI-assisted development.
"AI assistance impairs independent performance and reduces persistence."
People often optimize for long-term goals in collaboration: A mentor or companion doesn't just answer questions, but also scaffolds learning, tracks progress, and prioritizes the other person's growth over immediate results. In contrast, current AI systems are fundamentally short-sighted collaborators - optimized for providing instant and complete responses, without ever saying no (unless for safety reasons). What are the consequences of this dynamic? Here, through a series of randomized controlled trials on human-AI interactions (N = 1,222), we provide causal evidence for two key consequences of AI assistance: reduced persistence and impairment of unassisted performance. Across a variety of tasks, including mathematical reasoning and reading comprehension, we find that although AI assistance improves performance in the short-term, people perform significantly worse without AI and are more likely to give up. Notably, these effects emerge after only brief interactions with AI (approximately 10 minutes). These findings are particularly concerning because persistence is foundational to skill acquisition and is one of the strongest predictors of long-term learning. We posit that persistence is reduced because AI conditions people to expect immediate answers, thereby denying them the experience of working through challenges on their own. These results suggest the need for AI model development to prioritize scaffolding long-term competence alongside immediate task completion.
YouTube creators have an "Inspiration" tab in their YouTube Creator Studio that generates an endless supply of hilariously clickbaity titles and thumbnails. Toby Hendy, of the math channel Tibees, pulls back the curtain and shows us what she sees as a YouTube creator. The data the AI bases this on is not just the creator's previous videos and audience comments under their videos, but other videos on YouTube those people also watch.
"Pope Leo XIV's first Encyclical Letter Magnifica humanitas, on safeguarding the human person in the time of artificial intelligence, will be released on May 25, 2026."
Does it matter what the Pope says about AI? What do you all say?
Pope Leo XIV’s first encyclical, Magnifica Humanitas, on preserving the human person in the age of artificial intelligence, will be released on May 25. A presentation event with the Pope and various speakers is scheduled for the same day at the Vatican.
"In an annual data dump from the Bureau of Labor Statistics (BLS), it emerged that a depression in these 'artificial intelligence related occupations' really does appear to be happening. This category was down by 0.2% from May of 2024 to May of 2025, a tiny drop, but one made more notable by employment in general trending up 0.8% in the same time period."
Yann LeCun proposes Joint-Embedding Predictive Architecture (JEPA) as an alternative to large language models (LLMs) as a path to AI for robotics and artificial general intelligence (AGI).
https://www.youtube.com/watch?v=vJKC31YpA8c
#solidstatelife #ai #genai #llms #jepa #yannlecun #computervision
Is Ukraine winning? Asks WarFronts, which, yes, is that guy who's everywhere on YouTube, it seems like, Simon Whistler. May 9th was Victory Day in Russia, an occasion where ever since WWII there has been display of military force in Red Square. But this year, it was toned down so much, there was barely anything. I can't imagine Vladimir Putin would do this unless his hand was absolutely forced.
OpenMonoAgent.ai is "a terminal-native coding agent powered by local LLMs -- 100% open source, free forever, and installed with a single command."
