Vol. I · No. 199WED, NOV 4, 2026
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Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback

Training safe Reinforcement Learning (RL) systems is inherently challenging, with no guarantee of avoiding unwanted behaviors. The most effective defenses against this are (i) transparency through explainability and (ii) alignment via human feedback. While both show promising results, no publicly available framework currently combines them. To address this, we introduce Themis, an XAI-enabled testing and evaluation framework for Reinforcement Learning from Human Feedback. Themis supports over 200 widely used environments and is easily configurable for experiments in RL, transparency, and alig...

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A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI

Explanation requires ground truth: to verify an account of a system we must know its inner functioning-just what is missing where explainable AI (XAI) is most needed. Systems we can study fall into two camps. Simple, procedural one-decision trees, rule lists, sparse linear models-have a known but trivial mechanism, so explaining them tests nothing; genuinely complex ones-deep networks, real-world tasks-need XAI but have no ground-truth inner functioning, so an explanation can be plausible, confident, and wrong with no way to tell. We remove this dichotomy with a study object both genuinely co...

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Introducing Grok for Word

xAI released Grok add-in for Microsoft Word enabling document generation and formatting from notes.

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Analysing drivers and interdependencies in European electricity markets using XAI

Electricity markets are inherently complex systems characterised by strong nonlinearities, high-dimensional interactions, and increasing interdependence across regions. While deep neural networks (DNNs) have demonstrated strong predictive capabilities for electricity prices, their lack of interpretability limits their usefulness for understanding the underlying drivers of price formation. This paper addresses this gap by combining DNN models with explainable artificial intelligence (XAI) techniques to analyse the determinants of electricity prices across 39 European bidding zones. We employ S...

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Grok on Amazon Bedrock

Grok models now available through Amazon Bedrock, expanding distribution channels for xAI's inference.

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Grok Imagine Video 1.5

xAI announced Grok Imagine Video 1.5 with improved quality and faster generation speeds.

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Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models

Transformer-based automatic speech recognition (ASR) models such as Whisper are highly accurate, but their predictions remain difficult to interpret. Existing explainable AI (XAI) methods often lack faithfulness and precise temporal grounding. We propose Listening with Entropy-guided Attention for Faithful explainability (LEAF-X), a model-intrinsic XAI framework for transformer-based ASR. LEAF-X combines entropy-guided attention weighting, multi-layer attention rollout, and optional causal ablations to identify low-entropy, high-impact heads and layers, producing sparse token-to-frame attribu...

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Grok Imagine 1.5 Preview

grok-imagine-video-1.5-preview image-to-video model now available via xAI API in preview.

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Grok Build 0.1 on API

Grok Build 0.1 coding model available via xAI API in public beta with focus on speed.

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Use Grok in Kilo Code

xAI's Grok now integrates with Kilo Code, an open-source agentic coding platform, for SuperGrok and X Premium+ subscribers.

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Elon, stop trying to make Grok happen

There is a harsh truth about Elon Musk's "truth-seeking" AI chatbot Grok: It's not very good, and not many people are using it. That's the takeaway of a new Reuters report, which found that Grok barely appears in federal records of how the US government used AI last year. It's not the only sign xAI's signature chatbot is in trouble, even as Musk puts it at the heart of what could be the biggest IPO in history. Reuters reviewed more than 400 examples of government AI use where specific vendors were named. Grok or xAI, it found, appeared in only three - each of those for basic uses like documen...

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In SpaceX’s IPO, Elon Musk is a risk factor

The SpaceX IPO is here, and it's more than just an historic public offering that could make Elon Musk the world's first trillionaire. It also reveals more ways in which Elon Musk's companies interact and overlap with each other, shuffling money around in ways that are often difficult to keep track of. This is evident in ways that are both obvious and less so. A CTRL-F search for "Tesla" yields 87 results, xAI is mentioned 356 times, and X 267 times. Even the Boring Company (7 times) and Neuralink (3) get a few mentions. Throughout its 330 pages of rocket launches and interplanetary wishes, yo...

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Use Grok in OpenCode

xAI adds Grok support to OpenCode for SuperGrok and X Premium subscribers.

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Anthropic-SpaceX deal seems much larger than previously reported

I was reading [SpaceX's prospectus](https://www.sec.gov/Archives/edgar/data/1181412/000162828026036936/spaceexplorationtechnologi.htm) which just dropped. Seems like it has some additional info about the Anthropic-xAI deal on p. 13. Anthropic is paying SpaceX 1.25B/mo for some unspecified amount of capacity between Colossus 1 and 2. Colossus 1 we've previously known about, Colossus 2 seems new. Well, this seems like a much bigger deal than was originally reported 2 weeks ago? 1.25B/mo is 15B/year, which is almost half of Anthropic's ARR even after it exploded in Q1 this year. Also seems lik...

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Use Grok in OpenClaw

xAI integrates Grok into OpenClaw, an open-source local-first agent framework supporting X Premium subscriptions.

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