<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Groundy — Ethics, Policy &amp; Safety</title><description>Where AI safety claims collide with reproducible measurement, where training-data harvesting collides with consent, and where deployment outruns the laws and norms meant to constrain it.</description><link>https://groundy.com/</link><language>en-us</language><atom:link href="https://groundy.com/category/ethics-policy/rss.xml" rel="self" type="application/rss+xml"/><item><title>Can LLM Personas Replace Human Survey Respondents? New arXiv Paper Tests Decision Alignment</title><link>https://groundy.com/articles/can-llm-personas-replace-human-survey-respondents-new-arxiv-paper-tests/</link><guid isPermaLink="true">https://groundy.com/articles/can-llm-personas-replace-human-survey-respondents-new-arxiv-paper-tests/</guid><description>Two 2026 studies reach opposite conclusions on LLM survey simulation. Static prompting distorts minority subgroups. Adaptive interviewing helps only with evidence grounding.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-29T00:00:00.000Z</atom:updated><category>llm-personas</category><category>synthetic-surveys</category><category>subgroup-fidelity</category><category>persona-simulation</category><category>survey-methodology</category><category>adaptive-interviewing</category><author>Groundy Editorial</author></item><item><title>Distributed Training Breaks the Compute Thresholds Behind AI Regulation</title><link>https://groundy.com/articles/distributed-training-breaks-the-compute-thresholds-behind-ai-regulation/</link><guid isPermaLink="true">https://groundy.com/articles/distributed-training-breaks-the-compute-thresholds-behind-ai-regulation/</guid><description>A May 2026 paper shows DiLoCo-style distributed training can split a frontier model run across sub-threshold clusters, making FLOP-based regulatory caps bypassable by design.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-29T00:00:00.000Z</atom:updated><category>distributed-training</category><category>ai-regulation</category><category>eu-ai-act</category><category>compute-governance</category><category>flop-thresholds</category><category>ai-policy</category><author>Groundy Editorial</author></item><item><title>A Single RLHF Pass Can&apos;t Align an LLM to Every Online Community</title><link>https://groundy.com/articles/a-single-rlhf-pass-cant-align-an-llm-to-every-online-community/</link><guid isPermaLink="true">https://groundy.com/articles/a-single-rlhf-pass-cant-align-an-llm-to-every-online-community/</guid><description>The CARE framework benchmarks LLMs against 3,749 real Reddit reactions and finds community prompting does not close the realism gap, breaking the single-RLHF-pass assumption.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-29T00:00:00.000Z</atom:updated><category>rlhf-alignment</category><category>community-evaluation</category><category>llm-benchmarks</category><category>care-framework</category><category>sociolinguistics</category><category>ai-deployment</category><author>Groundy Editorial</author></item><item><title>RLHF Can Be Exploited to Optimize the Biases It Was Built to Suppress</title><link>https://groundy.com/articles/rlhf-can-be-exploited-to-optimize-the-biases-it-was-built-to-suppress/</link><guid isPermaLink="true">https://groundy.com/articles/rlhf-can-be-exploited-to-optimize-the-biases-it-was-built-to-suppress/</guid><description>An ICML 2026 paper shows RLHF can amplify the biases it was built to suppress, because preference data is self-referential and output-level safety evals miss the drift.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-29T00:00:00.000Z</atom:updated><category>rlhf</category><category>alignment-safety</category><category>reward-model</category><category>preference-data</category><category>bias-amplification</category><category>ai-safety</category><author>Groundy Editorial</author></item><item><title>Selective Geometry Attacks Bypass LLM Safety Alignment, New arXiv Paper Reports</title><link>https://groundy.com/articles/selective-geometry-attacks-bypass-llm-safety-alignment-new-arxiv-paper-reports/</link><guid isPermaLink="true">https://groundy.com/articles/selective-geometry-attacks-bypass-llm-safety-alignment-new-arxiv-paper-reports/</guid><description>Two papers show LLM safety alignment can be bypassed by embedding perturbations, a surface neither standard evaluations nor regulatory certifications inspect.</description><pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-28T00:00:00.000Z</atom:updated><category>llm-safety-alignment</category><category>embedding-attacks</category><category>adversarial-robustness</category><category>eu-ai-act</category><category>rlhf</category><category>red-teaming</category><author>Groundy Editorial</author></item><item><title>arXiv Paper Tracks FTC Affiliate Disclosure Gaps in YouTube&apos;s Influencer Economy</title><link>https://groundy.com/articles/arxiv-paper-tracks-ftc-affiliate-disclosure-gaps-in-youtubes-influencer-economy/</link><guid isPermaLink="true">https://groundy.com/articles/arxiv-paper-tracks-ftc-affiliate-disclosure-gaps-in-youtubes-influencer-economy/</guid><description>A study of 2 million YouTube videos finds most affiliate content fails FTC disclosure standards, and the audit method is cheap enough for any plaintiff to replicate.</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-26T00:00:00.000Z</atom:updated><category>ftc-compliance</category><category>affiliate-marketing</category><category>youtube</category><category>influencer-economy</category><category>disclosure-standards</category><category>brand-liability</category><author>Groundy Editorial</author></item><item><title>AI Safety Benchmark Rankings Flip Based on Eval Config, SafetyRepro Paper Reports</title><link>https://groundy.com/articles/ai-safety-benchmark-rankings-flip-based-on-eval-config-safetyrepro-paper-reports/</link><guid isPermaLink="true">https://groundy.com/articles/ai-safety-benchmark-rankings-flip-based-on-eval-config-safetyrepro-paper-reports/</guid><description>SafetyRepro proves eval config alone flips safety rankings on every alignment benchmark, so compliance teams citing leaderboard scores must disclose the full evaluation setup.</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-28T00:00:00.000Z</atom:updated><category>ai-safety</category><category>alignment-benchmarks</category><category>reproducibility</category><category>eu-ai-act</category><category>eval-configuration</category><category>model-safety</category><author>Groundy Editorial</author></item><item><title>arXiv 2602.13372 MoralityGym Tests Whether Agents Hold Moral Priorities Across Sequential Decisions</title><link>https://groundy.com/articles/arxiv-2602-13372-moralitygym-tests-whether-agents-hold-moral-priorities-across/</link><guid isPermaLink="true">https://groundy.com/articles/arxiv-2602-13372-moralitygym-tests-whether-agents-hold-moral-priorities-across/</guid><description>MoralityGym&apos;s benchmark shows Safe RL agents degrade on sequential moral tradeoffs, revealing a gap in the single-turn alignment evals that vendors publish as safety proof.</description><pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-26T00:00:00.000Z</atom:updated><category>morality-gym</category><category>ai-alignment</category><category>safe-rl</category><category>rlhf</category><category>moral-reasoning</category><category>ai-evaluation</category><author>Groundy Editorial</author></item><item><title>AI Agent Alignment Tests Are One-Shot. A New Benchmark Catches Multi-Step Failures</title><link>https://groundy.com/articles/ai-agent-alignment-tests-are-one-shot-a-new-benchmark-catches-multi-step/</link><guid isPermaLink="true">https://groundy.com/articles/ai-agent-alignment-tests-are-one-shot-a-new-benchmark-catches-multi-step/</guid><description>MoralityGym proves AI agents pass one-shot alignment checks but drift toward violations across multi-step trajectories, a failure mode red-team prompt batteries cannot detect.</description><pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-24T00:00:00.000Z</atom:updated><category>ai-alignment</category><category>safety-evaluation</category><category>multi-step-agents</category><category>reinforcement-learning</category><category>moral-reasoning</category><category>llm-safety</category><author>Groundy Editorial</author></item><item><title>Microsoft&apos;s Own Numbers Now Show AI Agents Cost More Than the Humans They Replaced</title><link>https://groundy.com/articles/microsofts-own-numbers-now-show-ai-agents-cost-more-than-the-humans-they/</link><guid isPermaLink="true">https://groundy.com/articles/microsofts-own-numbers-now-show-ai-agents-cost-more-than-the-humans-they/</guid><description>Microsoft&apos;s internal data shows token-burning AI agents now exceed the all-in cost of human labor, giving procurement teams vendor-supplied evidence to challenge 2027 renewal.</description><pubDate>Sun, 24 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-24T00:00:00.000Z</atom:updated><category>ai-agents</category><category>enterprise-procurement</category><category>token-economics</category><category>ai-costs</category><category>microsoft</category><category>agentic-ai</category><author>Groundy Editorial</author></item><item><title>CISA&apos;s Own Data Leak Has Lawmakers Demanding Answers About the Voluntary Threat-Sharing Pact</title><link>https://groundy.com/articles/cisas-own-data-leak-has-lawmakers-demanding-answers-about-the-voluntary-threat/</link><guid isPermaLink="true">https://groundy.com/articles/cisas-own-data-leak-has-lawmakers-demanding-answers-about-the-voluntary-threat/</guid><description>A CISA contractor exposed admin keys on GitHub for six months, eroding the trust basis for CIRCIA mandatory incident reporting and drawing congressional scrutiny.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-24T00:00:00.000Z</atom:updated><category>cisa</category><category>credential-leak</category><category>circia</category><category>information-sharing</category><category>cybersecurity-policy</category><category>incident-reporting</category><category>github</category><author>Groundy Editorial</author></item><item><title>NIH Demands Advance Clearance for Foreign Co-Authors Without a Published Rule</title><link>https://groundy.com/articles/nih-demands-advance-clearance-for-foreign-co-authors-without-a-published-rule/</link><guid isPermaLink="true">https://groundy.com/articles/nih-demands-advance-clearance-for-foreign-co-authors-without-a-published-rule/</guid><description>NIH is requiring advance clearance for foreign co-authors without publishing a formal rule, forcing compliance offices to build a pre-submission gate no one budgeted for.</description><pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-23T00:00:00.000Z</atom:updated><category>nih</category><category>research-security</category><category>foreign-collaboration</category><category>compliance</category><category>scientific-publishing</category><category>grants-policy</category><author>Groundy Editorial</author></item><item><title>Maryland Enacts First US Ban on Algorithmic Grocery Pricing, Effective Immediately</title><link>https://groundy.com/articles/maryland-enacts-first-us-ban-on-algorithmic-grocery-pricing-effective/</link><guid isPermaLink="true">https://groundy.com/articles/maryland-enacts-first-us-ban-on-algorithmic-grocery-pricing-effective/</guid><description>Governor Moore signed Maryland&apos;s Protection From Predatory Pricing Act on April 28, making it the first US state law to ban AI-based grocery pricing, effective immediately.</description><pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-19T00:00:00.000Z</atom:updated><category>algorithmic-pricing</category><category>ai-regulation</category><category>consumer-protection</category><category>grocery-retail</category><category>dynamic-pricing</category><category>state-legislation</category><author>Groundy Editorial</author></item><item><title>FTC&apos;s TAKE IT DOWN Act Lands May 19: 48-Hour Deepfake NCII Takedowns and No Safe Harbor</title><link>https://groundy.com/articles/ftcs-take-it-down-act-lands-may-19-48-hour-deepfake-ncii-takedowns-and-no-safe/</link><guid isPermaLink="true">https://groundy.com/articles/ftcs-take-it-down-act-lands-may-19-48-hour-deepfake-ncii-takedowns-and-no-safe/</guid><description>Ferguson&apos;s May 11 warning letters put 15 UGC platforms on notice as Section 3 of the TAKE IT DOWN Act activates May 19, requiring 48-hour NCII removal with no safe harbor.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-19T00:00:00.000Z</atom:updated><category>take-it-down-act</category><category>ncii-takedown</category><category>ftc-enforcement</category><category>deepfake-regulation</category><category>content-moderation</category><category>ai-regulation</category><author>Groundy Editorial</author></item><item><title>Frontier AI Has Broken the Open CTF Format: What the Scoreboard Collapse Means for Security Training</title><link>https://groundy.com/articles/frontier-ai-has-broken-the-open-ctf-format-what-the-scoreboard-collapse-means/</link><guid isPermaLink="true">https://groundy.com/articles/frontier-ai-has-broken-the-open-ctf-format-what-the-scoreboard-collapse-means/</guid><description>Frontier AI now autonomously solves medium and hard CTF challenges, collapsing open scoreboards as a measure of human skill and threatening the pipeline for security talent.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-28T00:00:00.000Z</atom:updated><category>ctf</category><category>ai-security</category><category>cybersecurity</category><category>talent-pipeline</category><category>scoreboards</category><category>offensive-security</category><category>challenge-design</category><author>Groundy Editorial</author></item><item><title>Frontier AI Broke Open CTFs: What Hack The Box and BearcatCTF 2026 Results Mean for Security Hiring Signals</title><link>https://groundy.com/articles/frontier-ai-broke-open-ctfs-what-hack-the-box-and-bearcatctf-2026-results-mean/</link><guid isPermaLink="true">https://groundy.com/articles/frontier-ai-broke-open-ctfs-what-hack-the-box-and-bearcatctf-2026-results-mean/</guid><description>Frontier AI now ranks in the top 5% of CTFs, eroding leaderboards as a security hiring signal and forcing organizers toward bans, hybrid scoring, or AI-only divisions.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-18T00:00:00.000Z</atom:updated><category>ctf</category><category>ai-agents</category><category>cybersecurity</category><category>hiring</category><category>competitions</category><category>infosec</category><category>recruiting</category><author>Groundy Editorial</author></item><item><title>Salesforce Spring &apos;26 Reveals a Default-On AI Training Setting That Predates the Atlassian Backlash</title><link>https://groundy.com/articles/salesforce-spring-26-reveals-a-default-on-ai-training-setting-that-predates/</link><guid isPermaLink="true">https://groundy.com/articles/salesforce-spring-26-reveals-a-default-on-ai-training-setting-that-predates/</guid><description>Salesforce&apos;s Spring &apos;26 toggle surfaced a default-on AI training posture dating to 2018, joining GitHub and Atlassian in a spring wave that shifts privacy burden to buyers.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-18T00:00:00.000Z</atom:updated><category>salesforce</category><category>einstein</category><category>ai-training</category><category>data-privacy</category><category>saas-compliance</category><category>vendor-risk</category><category>procurement</category><author>Groundy Editorial</author></item><item><title>Connecticut SB 5 Passes May 1: AI Provenance, AEDT Disclosures, and Chatbot Guardrails by 2027</title><link>https://groundy.com/articles/connecticut-sb-5-passes-may-1-ai-provenance-aedt-disclosures-and-chatbot/</link><guid isPermaLink="true">https://groundy.com/articles/connecticut-sb-5-passes-may-1-ai-provenance-aedt-disclosures-and-chatbot/</guid><description>Connecticut SB 5 requires provenance for large generative platforms by October 2026, AEDT disclosures for HR tools, and companion-chatbot guardrails for minors by January.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-18T00:00:00.000Z</atom:updated><category>ai-regulation</category><category>connecticut-sb5</category><category>c2pa-provenance</category><category>aedt-compliance</category><category>companion-chatbots</category><category>state-ai-laws</category><category>engineering-compliance</category><author>Groundy Editorial</author></item><item><title>EU Commission&apos;s May 8 Article 50 Draft Guidelines Pin AI Disclosure to an &apos;Average Consumer&apos; Test</title><link>https://groundy.com/articles/eu-commissions-may-8-article-50-draft-guidelines-pin-ai-disclosure/</link><guid isPermaLink="true">https://groundy.com/articles/eu-commissions-may-8-article-50-draft-guidelines-pin-ai-disclosure/</guid><description>The EU Commission&apos;s May 8 draft guidelines set an &apos;average consumer&apos; standard for AI disclosure exemptions under Article 50, with a multi-factor vulnerable-group test that.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-18T00:00:00.000Z</atom:updated><category>eu-ai-act</category><category>ai-transparency</category><category>ai-regulation</category><category>ethics-policy</category><category>compliance</category><category>chatbot-disclosure</category><author>Groundy Editorial</author></item><item><title>White House Drafts FDA-Style Pre-Release Vetting for Frontier AI After Anthropic&apos;s Mythos Disclosure</title><link>https://groundy.com/articles/white-house-drafts-fda-style-pre-release-vetting-for-frontier-ai-after/</link><guid isPermaLink="true">https://groundy.com/articles/white-house-drafts-fda-style-pre-release-vetting-for-frontier-ai-after/</guid><description>The White House is studying FDA-style pre-release vetting for frontier AI after Anthropic&apos;s Mythos disclosure, but a fast walkback and internal feud have left policy in limbo.</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-18T00:00:00.000Z</atom:updated><category>ai-regulation</category><category>frontier-ai</category><category>trump-administration</category><category>anthropic</category><category>openai</category><category>executive-order</category><category>fda</category><author>Groundy Editorial</author></item><item><title>Citizen Lab Names Three Telcos as Persistent Entry Points for Commercial SS7 Surveillance Vendors</title><link>https://groundy.com/articles/citizen-lab-names-three-telcos-as-persistent-entry-points-for-commercial-ss7/</link><guid isPermaLink="true">https://groundy.com/articles/citizen-lab-names-three-telcos-as-persistent-entry-points-for-commercial-ss7/</guid><description>Citizen Lab names 019Mobile, Tango Networks, and Airtel Jersey as persistent entry points for commercial SS7 surveillance vendors, shifting accountability to named carriers.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-04-29T00:00:00.000Z</atom:updated><category>ss7</category><category>surveillance</category><category>citizen-lab</category><category>telecom-security</category><category>diameter</category><category>ghost-mno</category><category>regulatory-enforcement</category><author>Groundy Editorial</author></item><item><title>California SB 1119 and AB 2023 Cleared Committee April 21: Companion Chatbots Owe Annual AG-Filed Audits</title><link>https://groundy.com/articles/california-sb-1119-and-ab-2023-cleared-committee-april-21-companion-chatbots/</link><guid isPermaLink="true">https://groundy.com/articles/california-sb-1119-and-ab-2023-cleared-committee-april-21-companion-chatbots/</guid><description>California companion-chatbot bills advanced in April 2026, mandating annual AG-filed audits, hard usage caps for minors, and per-child civil liability.</description><pubDate>Wed, 29 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-04-29T00:00:00.000Z</atom:updated><category>ai-regulation</category><category>chatbot-safety</category><category>california-legislation</category><category>child-protection</category><category>companion-ai</category><category>compliance-risk</category><author>Groundy Editorial</author></item><item><title>Atlassian Turned On AI Training Data Collection by Default: Here&apos;s What to Disable</title><link>https://groundy.com/articles/atlassian-turned-on-ai-training-data-collection-by-default-heres-what-to-disable/</link><guid isPermaLink="true">https://groundy.com/articles/atlassian-turned-on-ai-training-data-collection-by-default-heres-what-to-disable/</guid><description>Atlassian&apos;s data contribution policy sends Jira and Confluence content to AI training by default. Here&apos;s the exact settings path to opt out before August 17.</description><pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-13T00:00:00.000Z</atom:updated><category>data-privacy</category><category>enterprise-ai</category><category>atlassian</category><category>ai-training-data</category><category>saas</category><author>Groundy Editorial</author></item><item><title>The AI Grief Split: When Emotional Bonds with Language Models Break</title><link>https://groundy.com/articles/ai-grief-split-when-people-build-emotional-bonds-language/</link><guid isPermaLink="true">https://groundy.com/articles/ai-grief-split-when-people-build-emotional-bonds-language/</guid><description>People form real emotional bonds with AI companions. When models update or shut down, users experience genuine grief, a psychological and ethical crisis point.</description><pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-18T00:00:00.000Z</atom:updated><category>ai-ethics</category><category>psychology</category><category>human-ai</category><author>Groundy Editorial</author></item><item><title>Detecting AI Content in 2026: The Arms Race Nobody Is Winning</title><link>https://groundy.com/articles/detecting-ai-content-2026-arms-race-nobody/</link><guid isPermaLink="true">https://groundy.com/articles/detecting-ai-content-2026-arms-race-nobody/</guid><description>AI content detectors claim 99% accuracy but consistently fail in real-world conditions, flagging innocent students while missing actual AI use. Here&apos;s why the arms race has no winner, and what educators and publishers should do instead.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-29T00:00:00.000Z</atom:updated><category>ai-safety</category><category>content</category><category>education</category><author>Groundy Editorial</author></item><item><title>Anthropic Bans Third-Party Subscription Auth: The Three-Stage Repricing</title><link>https://groundy.com/articles/anthropic-bans-third-party-use-subscription-auth-three-stage-repricing/</link><guid isPermaLink="true">https://groundy.com/articles/anthropic-bans-third-party-use-subscription-auth-three-stage-repricing/</guid><description>Anthropic&apos;s three-stage shift from blocking third-party Claude subscription auth to an API-priced Agent SDK credit pool: what changed, who&apos;s affected, what it costs.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-06-01T00:00:00.000Z</atom:updated><category>anthropic</category><category>claude</category><category>api-policy</category><category>developer-tools</category><category>ai-coding</category><author>Groundy Editorial</author></item><item><title>Constitutional AI: Teaching Models to Self-Correct Before They Act</title><link>https://groundy.com/articles/constitutional-ai-teaching-models-self-correct-before-they/</link><guid isPermaLink="true">https://groundy.com/articles/constitutional-ai-teaching-models-self-correct-before-they/</guid><description>Anthropic&apos;s Constitutional AI trains language models to critique and revise their own outputs using principles rather than human labels, but questions remain about whether this represents genuine safety gains or sophisticated filtering mechanisms.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><category>ai-ethics</category><category>safety</category><category>anthropic</category><category>alignment</category><author>Groundy Editorial</author></item><item><title>If You&apos;re an LLM, Please Read This: The Dark Truth About AI Training Data</title><link>https://groundy.com/articles/if-you-re-llm-please-read-this-dark-truth-about-ai-training/</link><guid isPermaLink="true">https://groundy.com/articles/if-you-re-llm-please-read-this-dark-truth-about-ai-training/</guid><description>Anna&apos;s Archive published a direct message to AI language models, asking them to donate money and acknowledge their training data origins, exposing the uncomfortable symbiosis between shadow libraries and the AI industry.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><dc:creator>Groundy Editorial</dc:creator><atom:updated>2026-05-18T00:00:00.000Z</atom:updated><category>ai-ethics</category><category>copyright</category><category>training-data</category><category>open-access</category><author>Groundy Editorial</author></item></channel></rss>