Urgent.News

What's breaking now, across thousands of outlets.

AI

MCMC seeking clarification from Anthropic over election manipulation claim

KUALA LUMPUR: The authorities are seeking clarification from Anthropic over claims that Malaysians were targeted in an artificial intelligence (AI)-powered voter manipulation operation.

MCMC seeking clarification from Anthropic over election manipulation claim

KUALA LUMPUR: Malaysian authorities are requesting clarification from Anthropic regarding allegations that an artificial intelligence (AI) system called Claude was utilized to manipulate Malaysian elections. Communications Minister Fahmi Fadzil stated that the Malaysian Communications and Multimedia Commission (MCMC) is collecting information to decide whether additional steps are required to address the situation.

This inquiry aims to ensure that any subsequent actions are grounded in sufficient data and evidence, according to Fahmi's written parliamentary response. Anthropic contends that an overseas entity employed Claude to create elements of a political influence campaign, encompassing voter-targeting mechanisms, networks of fictitious social media personas, and fictitious news outlets.

The company identified these components as being linked to BBS Bilisim Teknolojileri, a technology firm situated in Istanbul, Turkey. Following its identification, Anthropic reported that it had deactivated the implicated Claude accounts and implemented countermeasures. The Malaysian government has pledged to enforce relevant regulations, such as the Communications and Multimedia Act, the Online Safety Act, and other pertinent statutes within MCMC's purview.

The Digital Ministry is concurrently drafting an Artificial Intelligence Governance Bill to bolster Malaysia's AI regulatory landscape, focusing on accountability, risk management, and the obligations of entities creating and deploying AI systems. In September, Anthropic disclosed the takedown of an alleged foreign-backed election manipulation effort that targeted Malaysia with approximately 1,000 fictitious social media profiles, a fabricated news website, and false intelligence reports.

MCMC has asserted that it is not implicated in the described activities and is currently investigating the allegations to ascertain the veracity of the claims.

Written by urgent.news from New Straits Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at nst.com.my →

More in AI

When Postman Installed AI Plugins Without Asking: Why Trust Got Broken

Let’s get straight to the point. Imagine one morning you fire up Postman (for many of us, the go-to tool for wrangling APIs), and without a single prompt, you notice new AI plugins, Codex and Claude…

  • Postman installed AI plugins without user consent on October 25, 2026
  • Users faced authentication warnings for unconfigured coding agents
  • Incident exposed vulnerabilities and sparked backlash from developer community

Who owns the LLM? 28 AIOps products compared

If you build AI features for an AIOps product, a customer will ask "can we use our own LLM?" sooner or later. What they want is clear: keep the data private and under their control, and still get…

  • Only 13 AIOps products offer no control over the LLM model.
  • 10 products ship a default model with user plug-in capability.
  • 3 products are open source, allowing customers to bring their own models.

Ollama, llama.cpp or vLLM: pick by workload, not by benchmark Tags:llm, localllm, performance, ai

Every few weeks a new benchmark says one local inference stack is X% faster than another. The numbers are usually real. They're also usually answering a different question than the one you have.

  • Ollama best for experimentation with easy setup and default settings
  • llama.cpp optimal for single machine maximum token throughput with hardware-specific tuning
  • vLLM ideal for concurrent request handling with continuous batching and paged KV cache

More from Wednesday 4 November →