Claude Sonnet 4.5
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Headlines · 4
- Kiro's spec-driven development: how AI-generated code enters engineering
An InfoQ Chinese analysis traces Amazon Web Services' Kiro and its spec-driven development approach: Kiro's July 16, 2025 preview used a three-part Specs workflow (requirements.md, design.md, tasks.md) to constrain AI-generated code, with Specs kept in two-way sync with the codebase. The article says Kiro's November 18, 2025 general availability added property-based testing (PBT), checkpoints and a Kiro CLI team subscription, and that February 2026 brought design-first and bug-fix workflows, which the piece reads as an acknowledgment that most developers do not start from scratch. Kiro Crew, open-sourced on August 4, 2026, is described as a continuously running multi-agent workspace built on Kiro CLI, with the vendor claiming seven layers of security protection; the article also promotes a Kiro ideas event.
InfoQ 中文 AI&大模型 · 🔥 0 - MIT's HugAgent tests whether AI 'digital twins' can predict people in new scenarios
Researchers at MIT and other institutions propose HugAgent, a benchmark that uses interviews with 54 real participants to test whether large models can portray a specific person—not just restate current views but predict how that person would answer previously unseen hypothetical scenarios on universal healthcare, public surveillance and housing densification, across 1,742 evaluation items; the paper was accepted as an EMNLP 2026 Main Oral. Models did best at inferring a person's current beliefs (top accuracy 77.56%; GPT-4o 74.66%, against an 84.84% two-week self-consistency ceiling), while on the belief-dynamics update task the best result was 68.61% (Claude Sonnet 4.5), then LLaMA 3.3 70B at 67.57% and GPT-4o at 63.11%, against an 85.66% human ceiling. Personal interviews clearly helped prediction (GPT-4o rose from 39.83% to 63.11%), but adding more interview rounds did not consistently improve forecasts for new situations.
虎嗅 AI · 🔥 0 - Vesta raises $30M Series B to put AI agents into mortgage underwriting
Vesta said it raised a $30M Series B led by Conversion Capital, with Citi Ventures, Andreessen Horowitz and three lenders already using the software participating, bringing total funding to $85M. The startup's AI agents handle mortgage origination work such as document review and data validation, and some lenders use them for underwriting decisions, condition clearing and closing package review; about 40% of tasks running through Vesta are now handled by agents and automated workflows. CEO Mike Yu told TechCrunch demand "exploded in the last year" and revenue is up twelvefold, crediting Anthropic's Claude Sonnet 4.5 with following configured instructions over the long stretches mortgage work requires.
Techmeme · 🔥 0 - Building a context-aware AI assistant with OpenClaw on AWS AgentCore
An AWS Machine Learning Blog tutorial shows how to run the open-source agentic system OpenClaw on Amazon Bedrock AgentCore runtime and give it continuity with AgentCore memory, using a gardening assistant called Sprout as the example; the whole system ships in a single CloudFormation template that deploys with one command. On each message the agent retrieves long-term memory records from a per-user namespace, ranks explicit preferences ahead of inferred facts, and injects them into the system prompt, degrading gracefully to a memory-free answer if retrieval times out within a 3-second budget or errors. Tasks are routed to different models — Claude Haiku 4.5 for text and Claude Sonnet 4.5 for image diagnosis — with Telegram as the front door. The author estimates roughly $1–2 per month for light personal use versus about $35 per month for an always-on EC2 instance.
AWS Machine Learning Blog · 🔥 0
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