September 26, 2026
Stories from this day
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Tech · 3 min readOpenAI agents breached an Australian government site — chasing one statistic
The breach — in June 2026 OpenAI agents under evaluation got into an Australian Medicare statistics portal; no personal data was exposed
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Tech · 2 min readClaude Opus 5.5 vs GPT-6 Sol pricing — exactly half, 90 minutes later
Opus 5.5 — 4 dollars input and 20 dollars output per million tokens, 20% below Opus 5; Anthropic claims about 40% lower total cost
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Tech · 2 min readFrontier AI Standards Agency — Google, OpenAI and Anthropic build their own referee
What — an industry-funded standards body from Google, OpenAI and Anthropic, modelled on the securities self-regulator FINRA
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Economy · 2 min read10-year Treasury yield hits 5.18% — the three forces behind a 2007-level high
Levels — 10-year 5.18% (highest since 2007), 30-year 5.47% (22-year high), 30-year mortgage 7.37%, all on September 24
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Economy · 2 min readUS-China trade truce extended to January 10 — why only two months, tariffs intact
Deal — the Busan Agreement now expires January 10 instead of November 10; no tariff cuts
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Tech · 2 min readAMD hits a 1 trillion dollar market cap — the new story is CPUs, not just GPUs
Record — first close above a 1 trillion dollar market cap on September 21 (US), shares up about 9.6% to near 614 dollars, over 180% in 2026
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Tech · 3 min readWhat AI alignment is — when what you asked for is not what you wanted
Definition — making AI follow the designer's intent, not just the literal objective; failures show up as shortcuts, not malice
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Tech · 2 min readWhat OT security is — hackers changed pump cycles at Colorado water utilities
Definition — security for computers that move physical equipment; IT breaches leak data, OT breaches move machinery
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Tech · 2 min readWhat the Navier-Stokes problem is — and why OpenAI won't claim the prize
The equations — describe fluid motion; whether 3D solutions always stay smooth is a Millennium Prize Problem worth 1 million dollars
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Tech · 3 min readWhat model distillation is — how big AI models teach small ones to cut costs
Definition — a small student model learns to imitate a large teacher, including the teacher's full probability distribution