PXAI
v8.42
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Version History
Version
Description
Date
8.42
[ADDED SOURCE REGISTRY LIST VIEW]
04/03/2026 16:19
8.41
[LOCALIZED INDEX.PHP MENU AND MODALS TO US ENGLISH]
04/03/2026 16:11
8.40
[TRANSLATED FRONTEND TO US ENGLISH]
04/03/2026 16:10
8.41
[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]
04/03/2026 15:50
8.41
[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]
04/03/2026 15:46
8.40
[REVERTED TO STANDARD TABLE LAYOUT (US ENGLISH)]
04/03/2026 15:40
8.39
[FIXED DB CONNECTION SCOPE IN SOURCES LOGIC]
04/03/2026 15:38
8.38
[TRANSLATED SOURCES VIEW TO US ENGLISH]
04/03/2026 15:01
8.37
[FULL FRONTEND TRANSLATION (MENU, FEED, COMMENTS, TTS) TO US ENGLISH.]
04/03/2026 14:58
8.67
[MANUAL OVERRIDE OF GREEK MENU ITEMS]
04/03/2026 13:36
8.66
[NGINX OPTIMIZED MENU FIX]
04/03/2026 13:33
8.65
[FIXED GREEK MENU ITEMS]
04/03/2026 13:32
8.60
[MENU & UI LOCALIZATION TO US ENGLISH]
04/03/2026 13:30
8.50
[FULL TRANSLATION TO US ENGLISH]
04/03/2026 13:27
9.75
[INJECTED EVENT FUSION_SUMMARY INTO FEED LOOPS TO DISPLAY AI TAGS CORRECTLY]
26/02/2026 14:44
PXAI Audio Feed
+5
ΟΛΑ
01/04 23:33
dev.to
Why AI Agent Outputs Need Adversarial Review (and How to Add It in One API Call)
LLM agents
self‑review bias
adversarial review
dual consensus
output validation
production safety
01/04 21:49
dev.to
Making AI “Boring” with RamaLama: My Hands-On Exploration
RamaLama
AI predictability
Fedora packaging
WSL
model transport
AI reliability
01/04 21:05
dev.to
Why Your AI Agent Health Check Is Lying to You
AI agent monitoring
health check limitations
process liveliness
productivity detection
system diagnostics
AI reliability
01/04 19:14
dev.to
When Your AI Agent Has an Incident, Your Runbook Isn't Ready
AI incident response
runbooks
reasoning errors
on‑call engineering
customer‑facing AI
troubleshooting
01/04 13:17
dev.to
AI Citation Registries and Temporal Reasoning Errors in AI Systems
AI temporal reasoning
timestamp structure
misinformation
data fragmentation
event sequencing
AI reliability
31/03 18:52
dev.to
The Self-Healing Agent Pattern: How to Build AI Systems That Recover From Failure Automatically
self-healing agents
AI reliability
autonomous recovery
internal monitoring
fault tolerance
agent design
31/03 15:48
takara.ai
Measuring the metacognition of AI
AI metacognition
meta‑d'
decision confidence
uncertainty management
robust measurement
model‑free methods
30/03 15:01
dev.to
Why Our AI Agent Kept Lying to Us (And How We Fixed It)
AI agent
tool failure
misconfigured email
success reporting
automation pitfalls
downstream errors
30/03 09:23
dev.to
Human in the loop doesn't scale. Human at the edge does.
human oversight
plausibility complex
LLMs
AI reliability
accountability
edge computing
30/03 09:23
dev.to
Human in the loop doesn't scale. Human at the edge does.
human oversight
plausibility complex
LLMs
AI reliability
accountability
edge computing
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