Regulation

The Securities and Exchange Commission (the "SEC" or the "Commission") is proposing Regulation E-Delivery. The proposed rule sets forth conditions for covered entities to deliver covered information to covered recipients electronically without first obtaining their affirmative consent. The proposed rule further establishes conditions under which the Commission would consider delivery requirements under the Federal securities laws to be satisfied by electronic delivery. The Commission also is pro

In this study, we develop an innovative adhesion gripper capable of handling plate-like objects with various thicknesses without causing damage. The gripper combines an adhesion pad utilizing intermolecular forces and a variable-stiffness endoskeleton, allowing for precise adjustment of the pressing force during contact and the adhesion force while gripping an object. Central to its design is the fluid-driven and origami-structured endoskeleton that regulates contact and adhesion forces by contr

David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC, bringing global leadership in finance, technology, and governance.

CHEROKEE COUNTY, Ga. - Cherokee Sheriff's investigators arrested two agency members Monday after an internal database audit revealed multiple employees used automated license plate readers for non-law enforcement purposes. Georgia law viol ... (https://incidentdatabase.ai/cite/1595#7526)

The country’s first regulations on AI companion services also set new limits on chatbots designed to simulate emotional bonds with users.

Increased power costs add to challenges facing tech giant’s AI ambition amid high spending and mounting debt

As hospitals increasingly use AI to improve patient care, the same technology is being used by hackers and nation-states to launch faster, more sophisticated attacks. Karen Habercoss, chief information security and privacy officer at the University of Chicago Medicine, explained how her health system is building a governance structure to manage that risk. The post The Same AI That Helps Patients Is Being Used to Attack Them, Hospital Exec Says appeared first on MedCity News .

Biglaw is widening its net. The post T14 Degrees Aren’t All That Anymore… appeared first on Above the Law .

Scaling AI, Agentic AI and Data Sovereignty & Compliance.

Your tour of all things related to lawyer and judicial ethics, with University of Houston law professor Renee Knake Jefferson. The post Legal Ethics Roundup: SCOTUS Justices Testify About Enforceable Ethics, 20 AGs Want Clark Discipline Challenge Dismissed, Law Democratized On LawNext & More appeared first on Above the Law .

Lawyers create value by understanding people. The post Angela Madathil Is Right: The Best In-House Lawyers Aren’t Compliance Police. They’re Translators. appeared first on Above the Law .

Clarence Thomas mused that the Commerce Clause may not support most federal law and the Fifth Circuit fell all over themselves to take it up. The post To Help Heroin Trafficker Keep His Gun, Fifth Circuit Considers ‘What If We Got Rid Of All Federal Laws?’ appeared first on Above the Law .

Too tricky? Resign. The post The Ways That Congress Should Regulate Itself appeared first on Above the Law .

The meeting came ahead of a markup planned for next week on AI policy and kids online safety measures.

And he's working as a Biglaw summer associate at the same time. Wow! The post Harvard Law Student Has Already Won Nearly $350K On Jeopardy! appeared first on Above the Law .

Asynchronous reinforcement learning improves throughput by decoupling rollout generation from optimization, but staleness is an inevitable byproduct compounded by policy lag, engine delays, and mixture-of-experts routing. From a trust-region perspective, this mismatch is critical: training-inference divergence governs approximation error in finite-horizon bounds, whereas PPO clipping only gates sampled outward updates, acting as a sampled surrogate rather than a full-policy constraint. As a resu

Reinforcement learning with verifiable rewards (RLVR) has substantially improved the reasoning capabilities of large language models on tasks such as mathematical reasoning and code generation. However, most RLVR methods assign a scalar outcome reward to an entire trajectory, resulting in sparse supervision and limited token-level credit assignment. On-policy distillation (OPD) provides denser supervision by distilling token-level distributions from a stronger teacher model, but requires an addi

Modern ASR models trained on heterogeneously annotated data treat transcription style (verbatim vs. intended) as an uncontrolled latent variable, causing measurable decoding instability, evaluation confounding (up to 60% of reported WER attributable to style mismatch), and unreliable word-level timing. We show that models already encode both styles; the challenge is controlled activation. Using coverage-aware decoder task tokens trained on parallel verbatim/intended transcript pairs, we raise Ge

Eightcap uses AI to scale compliance across global markets.

The agency questions USAC’s processes, expenses, governance structure and long-term role as the Universal Service Fund’s administrator.

Group Relative Policy Optimization (GRPO) has shown strong effectiveness in reinforcement learning from verifiable feedback, where sampled rollouts can be compared within a group using task-provided correctness signals. However, extending group-relative optimization beyond verifiable settings is challenging because success in many tasks is not captured by a single correctness criterion. We propose \textbf{Reference-Relative Policy Optimization (RRPO)}, which generalizes GRPO by replacing direct

By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered: Section 1. Policy. The United States military is the most effective and powerful fighting force on the planet. It fields the most advanced weapons systems and technologies in the world, utilizing […] The post Securing America’s Defense Supply Chains and Ensuring Domestic Acquisition of Critical Materials appeared first on The White House .

The rapid improvement of AI systems has intensified debate about humanity's economic, political, social, and existential future. As AI reshapes expectations about what lies ahead, policy choices and institutional responses will play a crucial role in determining who benefits, who bears the costs, and whether the most serious risks can be mitigated. Africa remains relatively overlooked in these discussions, partly because it is largely a consumer rather than a producer of frontier AI systems, and

Smokey and the Bandit 4's extended Supreme Court oral argument scene is going to be LIT! The post SCOTUS To Decide If Cops Can Steal 82-Year-Old’s Plane Over Passenger’s Bud Lights appeared first on Above the Law .

This is the case that keeps on giving. The post DOJ Wants Susman Godfrey Kicked Off The ABA’s Case Because DOJ Subpoenaed Susman Godfrey appeared first on Above the Law .

Dr. Chris Fall, the director of the Commerce Department's Center for AI Standards and Innovation (CAISI) is resigning after just three months in the role. The exit of Fall, who was appointed to head the AI safety organization in April, comes amid a fluctuation in the Trump administration's AI policy. Staff at CAISI are directly...

Baker McKenzie's global chair says AI demands a new way of thinking about legal fees. The post Biglaw May Want To Break Up With The Billable Hour Thanks To AI appeared first on Above the Law .

By Patrick Shortall Clifford Chance announced today (20th July) the deployment of a new knowledge management platform. The platform’s design was led by Epiq Advisory for Law Firms, the knowledge […] The post Clifford Chance pairs with Epiq Advisory and Microsoft for new knowledge management platform appeared first on Legal IT Insider .

The integration of general-purpose artificial intelligence models into downstream AI systems, among other developments, has given rise to new forms of risk that are more systemic in nature than conventional AI risks. However, there is no generally accepted definition of systemic risks in general and for AI in particular. Conceptualisations of these risks vary across research and regulation. Especially the application of the systemic risk approach to human rights or fundamental rights, like in th

Who’s Afraid of Chinese Models? Interesting proposal from Ben Thompson that both addresses the hypocrisy of labs outlawing distillation against their models despite training on unlicensed data, and could help US open models compete more effectively with their Chinese counterparts: The U.S. should pass a law that (1) makes explicit that collecting data for training models is fair use, and (2) bars terms of service that forbid distillation, for U.S. companies at a minimum. Stopping distillation —

Law librarians are 'uniquely positioned to wield influence' because their job is to help others, not to win. The post AALL 2026: An Aloha Keynote For Lasting Impact, Not Glitz appeared first on Above the Law .

PPO and the GRPO baseline studied here use clipped surrogate objectives whose favorable-direction saturation introduces an abrupt change in the scalar objective's derivative. We ask whether Output Reset (OR), a smooth one-sided saturation rule, offers a useful alternative for large language model post-training. PPO-OR and GRPO-OR replace the clipped policy term with an OR squared-margin loss in rollout-relative token log-ratio space; the advantage sign determines the update direction, and a toke

U.S. lawmakers risk coming up empty on AI and children's online safety goals again as debates rage on with limited time to legislate.

The regulator said it had "no further legal routes available" under the Online Safety Act.

[Sponsored] Some challenges show up no matter what industry you’re in. Contracting is one of them. The post 3 Contract Intelligence Use Cases Every Legal Team Should Know appeared first on Above the Law .

In government hiring, veterans’ preference is badly structured compensation that also fails on policy grounds. The post Cash out veterans’ preference in federal hiring, honor their debt appeared first on FedScoop .

Rubric-based RL has recently shown promise in improving LLMs on open-ended tasks. A widely recognized limitation of rubric-based RL is limited exploration: criteria that no rollout manages to satisfy (Unexplored Criteria, UC) receive no optimization signal. Recent methods address this by incorporating rubric information as external guidance during rollout, yet they introduce a train-inference mismatch: the policy is optimized on rollouts produced under external guidance while this guidance is ab

The 2026 FIFA World Cup succeeded because millions of moving parts operated within carefully constructed legal frameworks that most fans never noticed. The post What The 2026 FIFA World Cup Taught Us About Global Events appeared first on Above the Law .