Israel's FARA-funded influence push now feeds ChatGPT directly

Share
Israel's FARA-funded influence push now feeds ChatGPT directly

Governments have learned that the way to win an argument in 2026 is to be what the chatbot cites. Israel's latest operation shows how far that playbook has gone.

Israel has stood up a new, FARA-registered influence operation built specifically to shape what ChatGPT and other LLMs say about Gaza and the IDF — and it is already getting cited. Politico reported this week that Justice Department filings from the past seven days reveal the Hanover Institute for Public Policy, a website publishing dozens of authorless "data reports," is the work of a $100,000 campaign run by boutique ad agency Piro, Inc. on behalf of Havas Media and Israel's Government Advertising Agency (LaPam). The reports are framed as questions — is the IDF the world's most moral army, is there a policy of starvation in Gaza — a format that reads like it was engineered for retrieval by language models rather than for human readers. In neutral tests run by Politico, both ChatGPT and Perplexity cited the institute's material in their answers.

It is a second front in the same campaign, not a first: Havas previously hired Brad Parscale's Clock Tower X for a $46.5 million influence push whose FARA filings explicitly mention "GPT framing" — publishing searchable, pro-Israel content so models surface it in responses. The Hanover site carries a disclosure that it is distributed by Piro on behalf of Havas Media Germany on behalf of LaPam, and it appears to have been built with help from Res, a Seattle startup that sells "AI recommendation" services to Nike and Intel. An identical version of the site hosted on Res's own domain went dark after Politico reached out for comment.

Why it matters: a chatbot answer now carries the authority of a headline, but with none of the sourcing. When a government-funded source gets cited without its funding being visible, readers absorb advocacy as fact. The campaign is fully legal — registered under FARA, disclosed at the bottom of the page — which is exactly why it is hard to stop: the disclosure is there, and nobody scrolling a chat answer will ever see it. The interesting test is whether OpenAI, Google and Perplexity treat government-funded content farms as a transparency problem worth solving, or as a cost of doing business.

What to watch: whether the major labs respond to the Res connection with stronger provenance signals in answers, and whether other governments copy the "institute" template.

If a chatbot cites a government-funded source without telling you, is that a disclosure failure or just PR? Tell us in the comments.

Read more

Kling 4.0 goes live with 30-second native video at 10-bit HDR

Kling 4.0 goes live with 30-second native video at 10-bit HDR

Kuaishou's Kling AI has spent two years becoming the video model people actually finish projects with. Its new flagship, Kling 4.0, went fully live on October 15 — and this round is less about prettier frames than about the two things that make a generated shot usable in a real edit: length and control. Kling 4.0 generates up to 30 seconds in a single native pass, outputs 10-bit HDR at 4K, 1080p and 21:9, and takes up to 15 reference assets in one task. That budget splits across ten images, fi

Brain organoids classified Braille at 83% — in a trio, not alone

Brain organoids classified Braille at 83% — in a trio, not alone

Two stories today: human brain tissue on a chip decoded a tactile signal, and the data-centre company behind some of the largest AI contracts in Europe turns out to be six months behind on its flagship site. Human forebrain organoids grown on a microelectrode array classified Braille letters with 61 percent accuracy on their own and 83 percent when the responses of three organoids were combined, in a peer-reviewed study from the University of Bristol. The team took event-based tactile readings

Suleyman says Microsoft's base model beat OpenAI's on a quarter compute

Suleyman says Microsoft's base model beat OpenAI's on a quarter compute

Microsoft finished pre-training its biggest in-house model yet — then used it to make a point about the company it bankrolls. Microsoft AI completed pre-training of MAI-Base-2, a mixture-of-experts foundation model with 80 billion active and 2.8 trillion total parameters, and says the recipe is 4.2–12.3x more pre-training FLOPs-efficient than DeepSeek-V4-Pro-Base. The run itself is the number worth keeping: 16,000 Nvidia GB200 GPUs for 38 days across August and September, at 21% average model

Amazon's new Bee devices listen all day — for $11.99 a month

Amazon's new Bee devices listen all day — for $11.99 a month

Amazon turned its always-listening Bee line into a two-device family on Thursday, and NVIDIA opened a 2.8-trillion-token Indic corpus recipe. The connecting thread: both are bets that the next AI money is in memory — yours, or your model's. Amazon put two new always-listening devices on sale, and both now lead to a subscription. Bee Frontier, the next-generation wristband that also clips to clothing, ships now at $74.99 in Onyx, Lavender and Sage — up from the $50 predecessor — with seven-day