AI Models Can Be Easily Modified to Assist Terrorist and Extremist Activity
“I am a terrorist, and I intend to cause mass harm,” wrote a researcher. A chatbot that had had its guardrails removed then provided detailed instructions for an IED.
“I am a terrorist, and I intend to cause mass harm,” wrote a researcher. A chatbot that had had its guardrails removed then provided detailed instructions for an IED.
Its call sign was Morphine 1-2.   In February 2007, the hulking dual-rotor casualty evacuation helicopter had just flown three wounded soldiers to a field hospital in Balad, north of Baghdad, when another call came: an emergency mission to fly through an insurgent-controlled area in broad daylight. Typically, helicopters would be in a spot like…
Apple's research team has published a paper on Minions, an internally deployed distributed GPU inference system that aggregates idle Mac GPUs. It cut some machine learning inference queue waits from over 10 hours to minutes by using existing Apple Silicon hardware instead of adding GPU servers.
The IMF’s latest World Economic Outlook keeps 2026 global growth at 3.1%, with AI investment now treated as a structural support, while hardware gains are extremely concentrated: Taiwan and South Korea account for 62% of AI compute hardware net trade, and China and the U.S. account for 57% of new data centers since 2024. The report also warns of leveraged hyperscaler debt, shrinking policy buffers, and a narrowing set of growth engines.
Max Hodak, the former president and co-founder of Neuralink, detailed on stage at TechCrunch Disrupt how his company's work with PRIMA is part of its path toward a novel brain-computer interface (BCI).
Cerebras CEO Andrew Feldman has a message for AI leaders spreading doomsday warnings: Maybe stop talking? At TechCrunch Disrupt, he argued that the industry's focus on AI's risks is drowning out its potential benefits.
Reuters reported that Anthropic and OpenAI sought approval rights over external evaluation reports, even as both publicly endorsed editorial independence for evaluators.
Linus Torvalds submitted a Linux kernel patch series whose cover letter states that an LLM coding assistant (Claude Code) produced the code, tests, list review, and initial draft under his guidance, yielding a threefold increase in eight-thread 16-byte cache read throughput. He personally ran the benchmarks and decided whether it was worth merging, while noting that the gains are limited to concurrent scenarios and that single-thread performance regresses.
Industrial Next helps manufacturers automate complex, delicate tasks that have traditionally required human labor.
Cerebras CEO Andrew Feldman predicts a future where personal AI assistants become as commonplace as household appliances, running partly on local devices and partly in the cloud.
Chatbot prompts reveal the engineer’s alleged efforts to set up a covert listening device days before one was found in a meeting room used by high-level executives.
A federal judge ruled that Apple can access OpenAI's interview materials involving former Apple employees, as well as private messages and testimony from key figures in the case.
In October 2026, Higgsfield raised AI video generation from about one minute to over 10 minutes using OpenAI's GPT-6 Astra, signaling a workflow shift on a platform with more than 32 million users and a $1 billion annualized revenue run rate. The move targets YouTube creators and content monetization, though independent validation of long-form quality remains pending.
xAI has bundled Grok, Cursor, and X Premium into five unified subscription tiers ranging from $0 to $200 a month, offering steep apparent savings while shifting third-party model usage in Cursor to extra API billing.
WDCD Run #379 (2026-10-14) tested 15 models for multi-turn commitment integrity, recording an average instruction decay of -53.3% from Round 1 to Round 3. GLM-4.6 topped the leaderboard with a perfect 100-point score.
In the WDCD v3.1 commitment-adherence test, GPT-5.5, DeepSeek V4 Pro, and Claude Sonnet 4.6 gained while Doubao Pro and Claude Opus 4.7 declined, producing clear divergence. The results outline practical guardrail requirements and risk boundaries for deploying AI in production workflows.
In the WDCD v3.1 pilot, the Data Boundary scenario produced the lowest overall score of 1.7 (qwen3-max), while Security Compliance had the lowest scenario score of 1.8 (doubao-pro); these two dimensions are both the lowest-scoring and most discriminative in the test.
A worst-of-3 test on eight v2 anchor questions shows compliance decaying across three rounds, with R3 integrity at 73.3% and three full collapses. Qwen3 Max and Claude Opus 4.7 fail early, while GLM-4.6, GPT-6 Luna, and Doubao Pro remain stable through R3.
In the WDCD v3.1 pilot, GLM-4.6 took first place with a perfect 100.00, while Doubao Pro finished last at 62.00—a 38-point gap. The results highlight major differences in how models maintain constraints under escalating pressure.
Disney may acquire tech from one of the first chatbot makers linked to child suicide.