#fintech

LIVE PULSE

5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src

2 curated events

papersSEP 10 04:00 UTC

Paper evaluates adversarial training for tabular credit scoring robustness in P2P lending

Researchers have published an evaluation of how adversarial training affects the robustness of tabular machine learning credit scoring models used in peer-to-peer lending. The study tests these models against multiple attack types that simulate applicants tweaking self-reported information to influence lending decisions. The work highlights a security gap in financial ML systems that depend on user-provided inputs.

adversarial-ml/fintech/robustness/credit-scoring

productsSEP 9 18:11 UTC

Heurist Finance builds AI investment workbench on Amazon Bedrock AgentCore

Heurist Finance has created a conversational investment analysis tool using Amazon Bedrock AgentCore, as described in an AWS customer story. The workbench relies on AgentCore's payments, identity, memory, code interpreter, and observability components so a small team can purchase premium market data per query and run analysis inside an isolated sandbox. The account highlights how a lean organization can assemble AI-driven financial workflows from managed agent infrastructure.

agents/aws/amazon-bedrock/fintech