EN · International edition · 03/11/2026
Inferama daily · 03/11/2026
The most important AI developments since the previous newsletter, selected for editorial relevance.
News coverage period: 01/11/2026 08:30 → 03/11/2026 08:30 (Europe/Madrid).
Fact-checking: Definition, Process, and Limits
Fact-checking is the process of verifying checkable claims against identifiable, current, and sufficiently authoritative evidence. This entry explains how it works, distinguishes between human and automated verification, and details its epistemological and technical limits.
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Google confirms first AI inference in orbit with Project Suncatcher prototype
The MVP satellite returned a text generated by the Gemma 4 model from space. We analyze the energy limits, the challenges of cooling in a vacuum, and the actual state of viability for orbital data centers.
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DeepSeek releases dsh-superagent: a research prototype with a router-worker architecture for coding agents
DeepSeek has published dsh-superagent, an open-source research prototype that uses a router-worker architecture to distribute coding tasks across parallel sessions. According to the team's simulations, this delegation reduces the 95th percentile (p95) completion time from 29.5 to 15.7 minutes, although the availability of metrics verified in production remains limited.
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Liquid AI introduces LFM3 models for text, vision, audio and multimodal use
Liquid AI’s catalog lists several LFM3 variants for different modalities and links to an announcement dated October 27, 2026. The available information confirms what the provider’s catalog lists, but does not by itself demonstrate model performance or on-device agent capabilities.
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Anthropic renames Claude plans: verified Ultra accounts no longer have a five-hour usage limit
Anthropic has renamed Claude’s Max 5x and Max 20x plans to Max and Ultra. For verified Ultra accounts, the five-hour session limit no longer applies, but weekly usage limits remain in place.
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Mistral releases Large 4 weights: what they enable and what its cybersecurity results show
Mistral Large 4 went from a preview announced on October 6 to downloadable weights by the end of the month, according to available information. Releasing the weights makes it possible to run the model on an organization’s own infrastructure, but the cybersecurity figures come from evaluations presented by Mistral and do not establish effectiveness in real-world operations.
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