Nov 12, 2026
Musk Calls Claude Opus 5.5 a 'Masterpiece', Admits Grok 4.8 Falls Short
Elon Musk called Anthropic's Claude Opus 5.5 a 'masterpiece' and conceded Grok 4.8 won't match it, while xAI rebuilds its inference stack in C and C++. New Vercel data shows Opus 5.5 is the top model by paid spend among developers.
Nov 12, 2026
OpenAI Q3 Revenue Tops $10 Billion, But Losses Hit $10.9 Billion
OpenAI crossed $10 billion in quarterly revenue for the first time, up 50% from Q2, but its operating loss hit $10.9 billion. The loss-per-dollar figure fell to $1.09, even as rival Anthropic posted $17 billion in revenue with a fraction of the losses.
Nov 12, 2026
Anthropic IPO Is 'Multiple Times Oversubscribed' as Roadshow Begins
Anthropic's roadshow kicked off with massive demand as the Claude maker's IPO is already multiple times oversubscribed, raising up to $90.4 billion at a $1.4 trillion valuation. Claude traffic surged 24% in October as the company heads toward a November 19 Nasdaq debut.
Related News
Nov 11, 2026
AgentCore Web Answer vs Web Search: who runs the model, what you get back, and what the managed tool decides for you
AWS announced general availability of Web Answer on Amazon Bedrock AgentCore on 5 November 2026. Web Search hands your agent ranked links and snippets and leaves synthesis to your own model. Web Answer runs the retrieval loop, model, synthesis and citation step and returns a finished cited answer through AgentCore Gateway. This piece compares the returned artifact, the permissions, the controls you keep, the $10 per 1,000 tool calls price and the limits, including what AWS's guide does not establish.
Nov 11, 2026
Bedrock's AgenticRetrieveStream now takes maxAgentIteration 0 or 1: passages only, or one retrieval plus one answer
On November 9, 2026, AWS said Amazon Bedrock Managed Knowledge Base can run retrieval-only and single-shot RAG requests through AgenticRetrieveStream. Setting maxAgentIteration to 0 with generateResponse false returns passages with no foundation model call. Setting it to 1 retrieves once and generates one answer with no planning rounds. Values 2 to 5 keep the existing agentic behavior. The application chooses the mode; the parameter does not route requests automatically. AWS gives no new latency, cost or accuracy measurements, and the passages-only stream differs in shape from a direct Retrieve call.
Nov 10, 2026
Google's MKA benchmark tests AI agents on 200 private professional tasks; a separate set of 10 public tasks is available for inspection
Google DeepMind's new Multimodal Knowledge Agent benchmark evaluates AI agents on 200 private tasks requiring visual analysis of complex professional files like architectural blueprints and engineering schematics. While the benchmark's headline scores are based on these private evaluations, only 10 sample tasks are publicly available for inspection. The benchmark uses weighted criteria where harder 'Climb' criteria measure advanced performance, and costs reported by Artificial Analysis exclude judge calls, limiting direct workplace cost comparisons.