This project fed 45,047 Enron emails to an AI and automatically produced a 214‑page company "brain" made up of 49,401 dated facts, each citing the exact sentence in a specific email; pages were not edited by humans and facts expire on the date the mail shows they stopped being true. A timeline slider lets you view what was known on any date for each entity (regulators, rivals, utilities, internal units, etc.). A held‑out audit by a second AI reported that 93% of sampled facts were fully supported by their source email and none of 500 sampled facts were wrong at their core.
The pipeline proposed 57 narrow entity types and a person kept 54; pages were created for organizations mentioned in at least 25 messages and for five heavily discussed Enron business units. Facts are stored as dated sentences with source citations rather than as structured fields, intended to complement CRMs by capturing the transient, messy "missing middle" of operational knowledge. This+that built the prototype to demonstrate a product that consolidates company knowledge and workflows; Enron was chosen because its mail is public and verifiable. Phone numbers and credentials are masked, and the build lists the eight mailboxes used and its generation date.
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ThinkingCap Gemma-4-26B-A4B reduces the model's thinking tokens by up to 69%, while maintaining the same accuracy across twelve benchmarks. This makes it the most efficient ThinkingCap model so far, with significant reductions in inference costs and faster responses. (bottlecapai.com)
A survey shows that only 13% of companies have achieved significant or transformational value from AI. Many organizations struggle to realize substantial returns from AI investments. (gartner.com)
Meta's Muse AI assistant has been used by over 10 million people since its launch, with high demand prompting Stripe to raise credit limits. Meta plans to monetize Muse by charging businesses a fee for sales completed through the AI service. (fortune.com)
Jev is a basic decision model that gained hype for its speed and low data requirements but lacks reasoning and multimodal features. Industry hype around Jev exposes the current stagnation and superficial innovation in AI after four years of incremental progress. (blog.alexewerlof.com)
China has invited the European Commission to join its artificial intelligence alliance. The offer aims to foster collaboration on AI development and standards. (rapporteur.com)
AI requests in Texas produce 8.5 times more CO2 emissions than in Sweden due to energy differences. This highlights the environmental impact of data centers depending on local energy sources. (berget.ai)
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