The companies say Imagine Enterprise will help large organizations build and govern AI agents, with initial frameworks for finance, insurance and retail.
Browsing Category
Artificial intelligence
233 posts
Meta’s Muse Ember Scores 36 At $0.14 Per Task—But Often Says “I Don’t Know”
Artificial Analysis gives Meta’s Muse Ember a score of 36 at $0.14 per index task, while finding low factual accuracy and frequent refusals.
Claude Fable 5.2 Is The New #1 AI Model. What Each Effort Level Costs You Per Task
Artificial Analysis ranks Claude Fable 5.2 first at Max effort, but its task cost rises from $3.10 at Low to $26.54 at Max.
How AI Agents Remember: What Anthropic’s Memory Research Shows, And What We Learned Running Agents With Memory
Anthropic’s November 6 research post describes how Claude agents save, organize and correct memories between sessions, with results from company-run tests.
Terminal-RSI, Checked: Did An AI Agent Really Improve Itself With No Humans Involved?
Terminal-RSI reports benchmark gains from a human-designed training pipeline. The paper does not show an AI improving itself without human involvement.
Is AI Now Speeding Up Its Own Development? What METR Found Inside Anthropic, And What Stayed Redacted
METR estimates Anthropic’s model progress accelerated 1.9x, with AI use likely a major factor. Much of the evidence remains redacted.
Most Companies Use AI. Only About 6 Percent Profit From It
Surveys find broad AI adoption but limited profit impact: 6% of McKinsey respondents attribute at least 5% of EBIT to AI.
How We Checked OpenAI’s Claim That ChatGPT Handles A Fifth Of Google’s Searches
OpenAI says ChatGPT handles about one-fifth of Google’s queries. Independent estimates and traffic panels show different measures and much smaller website traffic.
We Gave 42 AI Setups The Same 15 Legal Questions. The Model Built For Law Scored 8 Out Of 100
A 15-question Lexassay test scores 42 AI setups on legal tasks. Claude Opus 5.5 leads; a model built for law scores 8 out of 100.
How GPT-6 Astra Edited Another AI Model’s Weights To Fix A Loop
A November 2 blog post reports that GPT-6 Astra edited two Qwen3.5-0.8B layers, raising its MATH-500 score while reducing, not eliminating, loops.