# AI News Digest - 2026-08-13

1. xAI's Grok 4.6 matched OpenAI's top model on the Artificial Analysis Intelligence Index, scoring 61 points and tying GPT-5.6 Sol while trailing only Anthropic's Claude Opus 5; it completed complex agentic workflows in roughly 53 steps versus 103 for Claude Opus 5 and was priced more than 60% lower.

2. Researchers at IIT Bombay and Adobe Research developed an inverse language model called "Previous-Token Prediction" that reconstructed original LLM prompts from output text with near-perfect accuracy, operating without access to model weights and across different models.

3. Nvidia announced that it was developing Nemotron 4, an open-weight model targeting one trillion parameters intended to rival leading freely available models, noting that some Chinese labs had already exceeded that scale.

4. Google's Gemini lost market share to ChatGPT and Anthropic's Claude according to multiple dataset sources, with Pangram reporting a drop from 12% to 1.9% while OpenAI exceeded 50% and Anthropic grew from 4.3% to 14.9%; Similarweb and OpenRouter reported corroborating trends.

5. Members of the Society of Breast Imaging reported that FDA-approved AI tools for breast cancer detection had fallen short of expectations: about half of 215 surveyed members used such tools, only 35% reported reduced recall rates compared with 59% who had expected reductions.

# References

1. [https://the-decoder.com/spacexais-grok-4-6-matches-openais-best-model-and-undercuts-it-on-price/](https://the-decoder.com/spacexais-grok-4-6-matches-openais-best-model-and-undercuts-it-on-price/)

[SpaceXAI's Grok 4.6 matches OpenAI's best model and undercuts it on price](https://the-decoder.com/spacexais-grok-4-6-matches-openais-best-model-and-undercuts-it-on-price/)

1. [https://the-decoder.com/researchers-can-now-reverse-engineer-llm-prompts-from-output-text-with-near-perfect-accuracy/](https://the-decoder.com/researchers-can-now-reverse-engineer-llm-prompts-from-output-text-with-near-perfect-accuracy/)

[Researchers can now reverse-engineer LLM prompts from output text with near-perfect accuracy](https://the-decoder.com/researchers-can-now-reverse-engineer-llm-prompts-from-output-text-with-near-perfect-accuracy/)

1. [https://the-decoder.com/nvidias-nemotron-4-aims-for-one-trillion-parameters-a-scale-chinese-labs-already-surpassed/](https://the-decoder.com/nvidias-nemotron-4-aims-for-one-trillion-parameters-a-scale-chinese-labs-already-surpassed/)

[Nvidia's Nemotron 4 aims for one trillion parameters, a scale Chinese labs already surpassed](https://the-decoder.com/nvidias-nemotron-4-aims-for-one-trillion-parameters-a-scale-chinese-labs-already-surpassed/)

1. [https://the-decoder.com/googles-gemini-is-losing-market-share-to-chatgpt-and-claude-according-to-new-market-data/](https://the-decoder.com/googles-gemini-is-losing-market-share-to-chatgpt-and-claude-according-to-new-market-data/)

[Google's Gemini is losing market share to ChatGPT and Claude according to new market data](https://the-decoder.com/googles-gemini-is-losing-market-share-to-chatgpt-and-claude-according-to-new-market-data/)

1. [https://the-decoder.com/ai-tools-for-breast-cancer-detection-fall-short-of-radiologists-expectations/](https://the-decoder.com/ai-tools-for-breast-cancer-detection-fall-short-of-radiologists-expectations/)

[AI tools for breast cancer detection fall short of radiologists' expectations](https://the-decoder.com/ai-tools-for-breast-cancer-detection-fall-short-of-radiologists-expectations/)

For the site tree, see the [root Markdown](https://ixtj.dev/.md).