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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
The Independent
Alex Woodward · 2026-06-17 · via Hacker News - Newest: "AI"

Donald Trump’s administration turned to Elon Musk’s Grok chatbot to launch thousands of missiles in Iran, according to a top defense official.

In a sworn statement defending the trillionaire from a lawsuit alleging xAI data centers are illegally polluting Black communities, the Pentagon’s artificial intelligence chief said the chatbot’s continued operation is “a matter of paramount national security” — and was used to fire more than “2,000 munitions at 2,000 distinct targets within 96 hours.”

Grok, a generative artificial intelligence chatbot developed by xAI, is among four AI models “currently capable of supporting national security applications,” according to Cameron Stanley, the Pentagon’s chief digital and artificial intelligence officer.

The chatbot is also one of three products “equipped to support mission-critical operations” in top secret settings, Stanley wrote.

The filing appears to be the first explicit admission from an administration official that the government is using Musk’s AI to bomb Iran, joining several other AI systems that have come under intense scrutiny after U.S.-led attacks killed hundreds of civilians, including children.

xAI’s Grok chatbot has been used to fire more than 2,000 munitions in Iran, according to a top Pentagon official

xAI’s Grok chatbot has been used to fire more than 2,000 munitions in Iran, according to a top Pentagon official (Reuters)

U.S. military investigators believe American forces were likely responsible for a strike on an Iranian girl’s school in Minab that killed at least 175 people, mostly children, in what analysts and human rights officials believe is the deadliest incident for civilian casualties since the U.S. and Israeli forces began attacking the country in February.

Outside analysts have suggested that the Pentagon’s AI-driven targeting — in addition to human error that failed to check whether target maps were up to date — may have played a role in the bombing.

The targets for Operation Epic Fury were identified with the aid of the National Geospatial-Intelligence Agency’s Maven Smart System, which uses AI to lay out data on a dashboard to support officials in their decision-making.

Those AI products do not explicitly create targets but work within Maven to identify potential points of interest for military intelligence.

In court filings on Monday, the Pentagon said it relies on xAI’s Grok Gov Model, a suite of products designed to work with federal agencies with features “found in no other frontier AI model,” according to Stanley.

The Pentagon would be “severely” impacted by a court ruling that prevents xAI from being “deployed, refined and upgraded” across the Pentagon, according to the Department of Justice.

The Pentagon’s use of AI has come under intense scrutiny after members of Congress and outside military analysts questioned whether faulty intelligence led to strikes that killed hundreds of civilians, including children

The Pentagon’s use of AI has come under intense scrutiny after members of Congress and outside military analysts questioned whether faulty intelligence led to strikes that killed hundreds of civilians, including children (Reuters)

The Trump administration is asking a federal judge in Mississippi to toss out a lawsuit brought by the NAACP, which claims Musk’s xAI is violating the Clean Air Act by running dozens of gas-burning turbines despite lacking permits for them.

The NAACP alleges that xAI operates at least 57 turbines being used to power its Colossus 2 data center without pollution controls required by the Clean Air Act.

That data center and others are “well positioned” to provide a “critical surge” in energy capacity in the event of an “armed conflict or other exigent circumstances” impacting national security, according to Stanley.

Data centers powering AI products used by the federal government are a “long-term strategic tool vital to maintaining our technological advantage against adversaries,” he wrote.

Several Democrats in Congress are proposing legislation to restrict the military’s use of AI after top officials declined to investigate civilian deaths that may have been prevented by stricter controls on AI.

A bill from Sen. Kirsten Gillibrand would ensure that human commanders would remain in control of making life-and-death decisions and would ban the use of AI entirely when it comes to nuclear weapons, domestic surveillance and autonomous weapons systems.

“The most critical decisions affecting our national security and the lives of our service members must always be made by human beings, not unaccountable machines,” she said in a statement earlier this month.

“Right now, the Pentagon is moving toward deploying incredibly powerful AI technology without commonsense guardrails in place, which could have catastrophic consequences that make all of us less safe,” she added. “We must act now – not to stifle technological progress, but to establish clear rules of the road that keep humans in charge and keep AI’s use in warfare smart and safe.”

While it relies on several AI products to launch missiles at Iran, the Department of Defense is also embroiled in a legal battle over the use of another AI tool used for warfare.

AI company Anthropic failed to reach an agreement with the Pentagon after finding that the administration did not guarantee against the use of its model Claude for domestic surveillance or autonomous drones.

The Pentagon then designated Anthropic a “supply-chain risk to national security” that could endanger the company’s future contracts with the government, sparking an ongoing legal battle.

The Independent has requested comment from xAI.