Too many AI agents can get in each other's way
REG AD googletag.cmd.push(function() { googletag.display('labrador/thereg/article/desktop/b'); }); In both cases, the implication is that productivity rises along with the number of agents you run, an idea that means you spend more at OpenAI and Anthropic. With fewer than 16 agents, the software cannot gather enough evidence to reach a consensus decision. So the agents are allowed to communicate with each other.
- ▪REG AD googletag.cmd.push(function() { googletag.display('labrador/thereg/article/desktop/b'); }); In both cases, the implication is that productivity rises along with the number of agents you run, an idea that means you spend more at OpenA
- ▪With fewer than 16 agents, the software cannot gather enough evidence to reach a consensus decision.
- ▪So the agents are allowed to communicate with each other.
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Record
| Original publisher | The Register |
| Canonical URL | https://www.theregister.com/ai-and-ml/2026/07/28/too-many-ai-agents-can-get-in-each-others-way/5279292 |
| Publication time | Tue, 28 Jul 2026 14:00:00 +0200 |
| Retrieval time | 2026-07-28T12:24:46.034Z |
| Last seen | 2026-07-28T12:24:46.034Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | mo8W2CVFQa5V · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); AI and ML Too many AI agents can get in each other's way For enterprise agents, less is more Thomas Claburn Thomas Claburn AI AND SOFTWARE REPORTER Published tue 28 Jul 2026 // 13:00 UTC Anthropic and OpenAI have both proposed the deployment of agent armies as a way to maximize the notional benefits of artificial intelligence systems.But the optimal agent workforce isn't necessarily the largest.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Register.