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Showing posts older than #399607 · Back to latest

Older Posts 20 shown
Post #399600 44
 Nearly 200 People Under Observation After Irkutsk Lab Worker Dies from Plague

https://www.themoscowtimes.com/2026/10/02/nearly-200-people-under-observation-after-irkutsk-lab-worker-dies-from-plague-a93857
The Moscow Times Nearly 200 People Under Observation After Irkutsk Lab Worker Dies From Plague Health authorities in Siberia’s Irkutsk region have placed nearly 200 people under medical observation after a laboratory worker died from plague, according to media reports and a statement by a regional leader Friday.
Post #399596 49
 AI doesn't need 'superintelligence' or evil intent to start a nuclear war

https://thebulletin.org/2026/10/ai-doesnt-need-superintelligence-or-evil-intent-to-start-a-nuclear-war/
Bulletin of the Atomic Scientists AI doesn’t need ‘superintelligence’ or evil intent to start a nuclear war Even without runaway superintelligence or malicious intent, current AI systems risk triggering nuclear war by amplifying human cognitive blind spots, speeding up escalation spirals, and overwhelming decision-makers with a firehose of information during high…
Post #399592 44
 The CISA Alert: Security Beyond Solitary Confinement

https://jnior.com/blog/the-cisa-alert-security-beyond-solitary-confinement/
INTEG Process Group The CISA Alert: Security Beyond Solitary Confinement - INTEG Process Group CISA is right to sound the alarm over Internet-exposed operational technology. But must every unwanted connection be answered with more authentication, stronger cryptography, and more processing power? There are remarkably lightweight ways to make malicious…
Post #399590 42
 Building a RAG Pipeline for Semantic Code Search

https://blog.jetbrains.com/ai/2026/09/building-a-rag-pipeline-for-semantic-code-search-a-developer-diary-and-field-notes/
The JetBrains Blog Building a RAG Pipeline for Semantic Code Search: A Developer Diary and Field Notes - The JetBrains Blog Part 1: Parsing, chunking, and vectorization Some time ago, we set out to build the best semantic code search platform we could: a RAG pipeline that gives LLM agents precise, citable evidence from re
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