Greetings, my name is David Colarusso. I'm the co-director of Suffolk University Law School's Legal Innovation & Technology (LIT) Lab. With one foot in law and the other in tech, I really want the open web to thrive. So I created a bot (@icymilaw.org) and this site to help folks discover great law-themed content while showing off what one can do with sufficiently open protocols. Note, the number of fire emoji represent how many standard deviations more popular a link is than the average link observed in its category.
If you like these, you'll ❤️ this open source client-side algorithmically-driven RSS reader. You might also enjoy this post: How and why I (still) use social media. It includes tips on how to make your own custom social media algo(s).
News-like Links
A collection of links shared recently¹ by legal-type folks² with URLs that look like they point to news articles,³ sorted by popularity.
- New Evidence Further Implicates U.S. Missiles in Strikes That Killed 21 Civilians in Iran 🔥🔥🔥🔥🔥
- U.S. Government Moves Toward Automatic Registration for Military Draft 🔥🔥🔥🔥
- Starmer says he is ‘fed up’ with Trump and Putin’s impact on UK energy costs† 🔥PM appears to draw comparison between Russian and US leaders and calls for plan to restore shipping through strait of Hormuz ...
- Molotov Cocktail Is Hurled at Home of OpenAI Chief Executive Sam Altman 🔥
- Iran Unable to Find Mines in Strait of Hormuz, U.S. Says The lost mines have prevented Iran from quickly complying with President Trump’s demand to allow more ships to pass through the waterway.
Blog-like Links
A collection of links shared recently⁴ by legal-type folks⁵ with URLs that look like they point to blogs/newsletters,⁶ sorted by popularity.
- The Hungarian Candidate 🔥🔥Is Orbán's Decline Trump's Fall?
- April 9, 2026 🔥🔥The ceasefire President Donald J.
- NEWS: Major New Epstein and Melania Developments, MAGA Lashes Out at Trump as he Attacks Influencers, Inflation and Prices Soar 🔥Good morning everyone.
- No, Pete. You Don't Have 'Complete Control.' 🔥He can lie to Trump about the war. Trump can repeat his lies. But that doesn't mean they're really winning.
- April 10, 2026 It feels like something shifted in the United States this week after President Donald J.
AI & The Law Links
A collection of links shared recently⁷ on Bluesky that look like they talk about AI & the law,⁸ sorted by popularity.
- UW graduate student deported through SEA as protesters demand answers† 🔥🔥🔥🔥🔥A union representing University of Washington graduate student workers says Kennedy Orwa’s student visa was rescinded without explanation.
- OpenAI Backs Bill That Would Limit Liability for AI-Enabled Mass Deaths or Financial Disasters† 🔥🔥The ChatGPT-maker testified in favor of an Illinois bill that would limit when AI labs can be held liable—even in cases where their products cause “critical harm.”
- Stalking victim sues OpenAI, claims ChatGPT fueled her abuser's delusions and ignored her warnings | TechCrunch OpenAI ignored three warnings that a ChatGPT user was dangerous — including its own mass casualty flag — while he stalked and harassed his ex-girlfriend, a new lawsuit alleges.
- England’s sewage scandal hinges on lack of water industry regulation – new docudrama reveals how profit drives pollution† The water industry has been left to police its own pollution.
- Google engineer rejected by 16 colleges uses AI to sue universities for racial discrimination† A California man, who has filed multiple lawsuits against major university systems over his son's college rejections, says artificial intelligence has become the key to pursuing the cases after no law firm agreed to represent them.
Law Review-like Links
A collection of links shared recently⁹ on Bluesky that look like they point to papers in law journals or the like,¹⁰ sorted by popularity.
- Artificial Intelligence and Human Legal Reasoning† 🔥🔥Empirical evidence increasingly demonstrates that generative artificial intelligence has the capacity to improve the speed and quality of legal work, yet many l ...
- The Crisis of Appropriations Law Appropriations law is a unique body of federal law. Appropriations law imposes its own somewhat baroque set of statutory interpretation principles, approv ...
- Mitigating the Judicial Human-AI Fairness Gap† When algorithms make legal decisions, people perceive the process as less fair than when humans do — a phenomenon known as the judicial human-AI fairness gap. W ...
- Suppressing Constitutional Law: Qualified Immunity and Non-precedential Opinions† Federal appellate courts label most opinions as "non-precedent." The label is supposed to have no doctrinal impact. But in the context of qualified im ...
- Circumventing the Supreme Court: Copyright Law and the Limits of Judicial Centralization† The federal judiciary plays a central role in developing copyright law. With Congress largely inactive in recent decades and with no administrative age ...
AI Paper-like Links
A collection of links shared recently¹¹ on Bluesky that look like they point to papers on AI,¹² sorted by popularity. Wondering why this section is on a site about the law? Well, I teach a course on AI & the Law, and it turns out that understanding this stuff is super important to figuring out what the law might have to say. So, I figured since I was sharing lists, I might as well share this one too.
- Short proofs in combinatorics, probability and number theory II† 🔥🔥🔥🔥🔥We give a quintet of proofs resulting from questions posed by Erdős. These questions concern ordinary lines in planar point sets, sequences with uniformly small exponential sums, $K_4$-free $4$-critical graphs with few chords in any cycle, a counterexample to a "fewnomial" version of the Erdős--Turán discrepancy bound, and a finiteness theorem for integers $n$ such that $n-a k^2$ is prime for all $k\leq \sqrt{n/a}$ coprime to $n$ (for fixed $a\in\mathbb Z_+$). Each proof is due to an internal model at OpenAI.
- Artificial Intelligence and Human Legal Reasoning† 🔥Empirical evidence increasingly demonstrates that generative artificial intelligence has the capacity to improve the speed and quality of legal work, yet many l ...
- Responsible Intelligence in Practice: A Fairness Audit of Open Large Language Models for Library Reference Services† As libraries explore large language models (LLMs) as a scalable layer for reference services, a core fairness question follows: can LLM-based services support all patrons fairly, regardless of demographic identity? While LLMs offer great potential for broadening access to information assistance, they may also reproduce societal biases embedded in their training data, potentially undermining libraries' commitments to impartial service. In this chapter, we apply a systematic evaluation approach that combines diagnostic classification to detect systematic differences with linguistic analysis to interpret their sources. Across three widely used open models (Llama-3.1 8B, Gemma-2 9B, and Ministral 8B), we find no compelling evidence of systematic differentiation by race/ethnicity, and only minor evidence of sex-linked differentiation in one model. We discuss implications for responsible AI adoption in libraries and the importance of ongoing monitoring in aligning LLM-based services with core professional values.
- AI Assistance Reduces Persistence and Hurts Independent Performance† 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.
- What Matters for Simulation to Online Reinforcement Learning on Real Robots We investigate what specific design choices enable successful online reinforcement learning (RL) on physical robots. Across 100 real-world training runs on three distinct robotic platforms, we systematically ablate algorithmic, systems, and experimental decisions that are typically left implicit in prior work. We find that some widely used defaults can be harmful, while a set of robust, readily adopted design choices within standard RL practice yield stable learning across tasks and hardware. These results provide the first large-sample empirical study of such design choices, enabling practitioners to deploy online RL with lower engineering effort.
The High Score
The 20 accounts most reposted by @icymilaw.org over the past week¹³ (the list below is updated every Sunday). High Score, get it? One Score = 20, as in, "four score and seven years ago." ;)
- Law + Tech News Bot (@news.bot.suffolklitlab.org)
- ICYMI (Law) (@icymilaw.org)
- Joyce White Vance (@joycewhitevance.bsky.social) (promoted)
- Brian Finucane (@bcfinucane.bsky.social) (promoted)
- Timothy McBride (@mcbridetd.bsky.social) (promoted)
- Adam Cohen (My Personal Views Only) (@axidentaliberal.bsky.social) (promoted)
- Barred and Boujee aka Madiba Dennie (@audrelawdamercy.blacksky.app) (promoted)
- Prem Sikka (@premnsikka.bsky.social) (promoted)
- Steven Beschloss (@stevenbeschloss.bsky.social) (promoted)
- Roger Parloff (@rparloff.bsky.social)
- David Slack (@slack2thefuture.bsky.social) (promoted)
- Andy Craig (@andycraig.bsky.social)
- Evan Bernick, a finite mode with a smol hooman and a lorg floof (@evanbernick.bsky.social) (promoted)
- Third Rate Podcasts Hat (@kenwhite.bsky.social) (promoted)
- Kevin M. Kruse (@kevinmkruse.bsky.social) (promoted)
- Anthony Michael Kreis (@anthonymkreis.bsky.social)
- Deborah Pearlstein (@debpearlstein.bsky.social) (promoted)
- dag (@davidallengreen.bsky.social)
- davidrlurie (@davidrlurie.com) (promoted)
- Deb Golden (@debgoldendc.bsky.social) (promoted)
- Katie Phang (@katiephang.bsky.social) (relegated)
- Sheryl Weikal says Prosecute ICE (@leftistlawyer.com) (relegated)
- Mark Copelovitch (@mcopelov.bsky.social) (relegated)
- Chris Geidner (@chrisgeidner.bsky.social) (relegated)
- Sarah Fackrell (@design-law.bsky.social) (relegated)
- Jay Willis (@jaywillis.net) (relegated)
- Aaron Reichlin-Melnick (@reichlinmelnick.bsky.social) (relegated)
- John Pfaff (@johnpfaff.bsky.social) (relegated)
- Nicholas Grossman (@nicholasgrossman.bsky.social) (relegated)
- Don Moynihan (@donmoyn.bsky.social) (relegated)
- Ryan Goodman (@rgoodlaw.bsky.social) (relegated)
- Riana (@riana.bsky.social) (relegated)
- Jessica Pishko (@jesspish.bsky.social) (relegated)
- Raffi Melkonian (@rmfifthcircuit.bsky.social) (relegated)
† This link was also in yesterday's digest. ¹ Approx. 1 day lookback. ² Attorneys, law profs, et al. ³ News-like links (law) ⁴ Supra note 1. ⁵ Supra note 2. ⁶ Blog-like links (law) ⁷ Approx. 3.5 days lookback. ⁸ AI & the Law ⁹ Approx. 1 week lookback. ¹⁰ Law Review-like ¹¹ Supra note 9. ¹² AI Papers et al. ¹³ High Score
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