Firehose

Arca, an AI-native wealth management firm, uses agents to perform long-horizon financial work, such as analyzing client data and generating financial plans that can take up to ten days to complete. The firm has developed an internal memory system to track the progress of these tasks and ensure that human advisors are involved in the decision-making process. Arca's agents are designed to prompt humans for input, rather than the other way around, and the firm has implemented various safety measures to prevent agents from making decisions that could harm clients. AI summary

OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.

Elorian's Glimpse model has demonstrated 50.48% accuracy on the DecoyCount benchmark, surpassing frontier models like GPT-6 Astra (43.17%) and Gemini-3.8-flash (32.71%). This achievement highlights Glimpse's ability to visually reason and ground its counts in visible evidence, rather than relying on shortcuts or substitution heuristics. The DecoyCount benchmark, co-released by Elorian, tests whether language models genuinely count objects or rely on visual shortcuts, revealing a gap between seeing and reasoning. AI summary

OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.

AnySpeechRecognizer is an open model for speech recognition on Apple platforms, providing a choice of recognition engines, including NVIDIA's Parakeet and Alibaba's Qwen3-ASR, with speaker diarization capabilities. The package mirrors Apple's Speech framework and uses Core ML models on the Hugging Face Hub. AnyDecisionModel is an open model for decision-making, using a trained decision head like Cloudflare's Clef, and supports multiple backends, including MLX, Core AI, and llama.cpp. AI summary

Artificial Analysis v5's Intelligence Index weighs various aspects of language models, including knowledge work, coding, science, and general capabilities, but its methodology has sparked debate due to the complexity of measuring real-world usage and the trade-offs in aggregating scores. The index's emphasis on closed models may overlook the value of open models, which are still capable of performing well in specific tasks, and its shift towards private benchmarks raises concerns about transparency and accountability. AI summary

You can now query AI traffic in Vercel Observability to understand how AI bots are accessing your site. AI traffic insights show: Requests by verified AI bot: how many requests each bot makes Most-crawled pages: pages most frequently reques…

Anthropic has developed a modular architecture for their Claude platform, separating the "brain" (managed agents) from the "hands" (API), allowing for more efficient and secure model deployment. This separation enables better isolation, credentials management, and network controls, and also facilitates lower latency and better reliability. AI summary

Katelyn Lesse and Angela Jiang join Latent Space to explain the engineering behind the Claude Platform: launching Opus 5.5, separating the model’s “brain” from the agent’s “hands,” scaling APIs, and building reliable managed agents. A new i…

GPT-6 Astra tops Retell’s voice agent benchmark, while Codex helps it reach a $1.6M annual revenue run rate per employee.

Get 20% off Mobbin Pro to help your agent design UIs that actually convert - https://mobbin.com/fireship Kimi K3.1 just dropped as a free 3-trillion-parameter open-weight model that comes within one point of Opus on Terminal Bench. But is i…

In this episode, Thomas Ahle discusses the development of thermodynamic computing chips and the challenges of chip design automation using AI agents. He explains how his team built an open-source Verilog simulator with AI collaboration to o…