Developer builds privacy-first Chrome extension that grades stocks with fixed rules

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A developer has released StockAgent, a Chrome extension that scores stocks on a 0–5 scale using five deterministic financial metrics, including debt-to-equity ratio, RSI, and return on equity, with no AI involved in grading. News headlines from Yahoo Finance RSS feeds are also scanned for risk keywords, applying severity-based penalties to the final score. The tool offers optional email digests but is designed so that sensitive data — such as share counts, buy prices, and API keys — never leaves the user's device. To enforce this, the extension reconstructs outbound payloads from scratch using only pre-approved fields, rather than stripping private data from existing objects. A runtime validation function further blocks transmission if any forbidden field is detected, acting as a safeguard against accidental data leaks during development.

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OpenAI's Jalapeño chip outperforms NVIDIA on speed, throughput, and power efficiency

OpenAI has published benchmark results for Jalapeño, its first custom AI inference chip, showing it outperforms NVIDIA's GB200 and GB300 hardware across throughput, latency, and power efficiency simultaneously. Tested against the InferenceX public benchmark on three large open-weight models, Jalapeño delivered 1.5–1.9x more throughput per watt and 1.7–3.6x lower latency compared to leading NVIDIA hardware. The chip operates at or below 550W, roughly half the power draw of the GB300 at 1,400W. Designed in nine months, Jalapeño reflects OpenAI's broader strategy to co-design models, chips, and software together rather than rely on third-party GPU infrastructure. OpenAI plans to deploy the chip within its own infrastructure by end of 2025, with a second generation already in development.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

LangChain vs AWS Bedrock: Key Differences to Guide Your AI Framework Choice

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ProgrammingDEV Community ·

JavaScript's Seven Primitive Data Types Explained for Beginners

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