TSMC profits surge amid relentless AI demand
World’s leading contract chipmaker beats estimates in third quarter
We haven't written up this one. Financial Times has the full story — the link below goes straight to it.
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Semantic Chaos Monkey: Testing Ambiguous AI Instructions 🐒
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle This is my submission for the Hacktoberfest Open-Source AI Challenge — Week 2: Side Hustle .
- Semantic Chaos Monkey tests ambiguous AI instructions for operational procedures.
- Generates multiple interpretations of instructions and validates them against allowed actions.
- Simulates outcomes in synthetic environment to suggest clearer instructions.
QCAA wins Excellence Award for developing an ‘Impactful AI agent’
<p>Doha, Qatar: The Qatar Civil Aviation Authority (QCAA) has achieved a new milestone by receiving the Excellence Award for Developing an Impactful AI Agent, presented by the Ministry of…
Stop asking AI to “clean this up”: a safe refactoring loop (with 2 free prompts)
Ask Cursor, Claude Code or ChatGPT to “clean this up” or “refactor this,” and you’ll usually get something : new folders, renamed symbols, a fashionable pattern, maybe a dependency bump.
- Safe refactoring loop prevents unreviewable AI changes
- Smell inventory ranks issues by payoff ÷ risk and size
- Free prompts guide smell mapping and safety net creation
A regex matched my LLM pipeline on clean text. Then synthetic speech broke both.
An operator on a plant radio says "Close valve two-oh-three, line Bravo." The field technician answers "Copy, closing two-oh-eight, line Bravo." Valve 208 is on a different line.
- Operator gave conflicting valve instructions
- Read-back system failed to catch discrepancies
- Regex matched LLM pipeline better than synthetic speech
(LEAD) Seoul shares crash over 7 pct on chip rout amid AI, inflation woes
SEOUL, Oct. 15 (Yonhap) -- South Korean stocks plunged more than 7 percent Thurs...