act: Technical report
arXiv:2604.02955v1 Announce Type: new Abstract: This technical report contains the formal definitions and metatheory for the act specification and verification language. It documents the syntax, the operational pointer semantics, the type system and the main metatheoretic results (type-safety).
View PDF
Abstract:This technical report contains the formal definitions and metatheory for the act specification and verification language. It documents the syntax, the operational pointer semantics, the type system and the main metatheoretic results (type-safety).
Subjects:
Programming Languages (cs.PL); Logic in Computer Science (cs.LO)
Cite as: arXiv:2604.02955 [cs.PL]
(or arXiv:2604.02955v1 [cs.PL] for this version)
https://doi.org/10.48550/arXiv.2604.02955
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Anja Petković Komel [view email] [v1] Fri, 3 Apr 2026 10:42:14 UTC (120 KB)
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
announcereportsafety
QUANTUM HORIZONS Your Passwords Have an Expiry Date. Nobody Told You.
By The Architect NEO | April 2026 You know that friend? The one at every barbecue who, somewhere between the third burger and the dying embers, starts talking about encryption? The one who makes you check if your webcam has tape over it? The one who said "don't use that free Wi-Fi" at the airport in 2019 and you thought they were being dramatic? That friend was right about everything. And they're about to be right again — about something much, much bigger. THE QUIET HEIST NOBODY'S REPORTING Right now, while you're reading this on a Tuesday lunchbreak or doomscrolling at 11pm, encrypted data is being stolen. Not decrypted. Not read. Not yet. Stored. Intelligence agencies across the globe have a name for it: "Harvest Now, Decrypt Later." The idea is brutally simple. Steal encrypted data toda

Cloud Observability vs Monitoring: What's the Difference and Why It Matters
Cloud Observability vs Monitoring: What's the Difference and Why It Matters Your alerting fires at 2 AM. CPU is at 94%, error rate is at 6.2%, and latency is climbing. You page the on-call engineer. They open the dashboard. They see the numbers going up. What they cannot see is why — because the service throwing errors depends on three upstream services, one of which depends on a database that is waiting on a connection pool that was quietly exhausted by a batch job that ran 11 minutes ago. Monitoring told you something was wrong. Observability would have told you what. This is not a semantic argument. Teams with mature observability resolve incidents 2.8x faster than teams that rely on monitoring alone, according to DORA research. The gap matters in production. Understanding why the gap e

Real-time emotion detection from webcam — no wearables needed
We’ve been running controlled trials with real-time facial affect analysis using nothing but a standard 720p webcam — no IR sensors, no EEG caps, no chest straps. The goal? Detect emotional valence and arousal with enough accuracy to be useful in high-stakes environments: remote proctoring, telehealth triage, UX research. Most open-source pipelines fail here because they treat emotion as a static classification problem. We treat it as a dynamic signal. Our stack uses a lightweight RetinaFace for detection, followed by a pruned EfficientNet-B0 fine-tuned on dynamic expressions from the AFEW and SEED datasets — not just static FER2013 junk. Temporal smoothing via a 1D causal CNN on top of softmax outputs reduces jitter and improves response latency under variable lighting. The real breakthro
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases

Claude Code 101: Introduction to Agentic Programming
Software development as we know it The era of AI assistance From assistant to agent The agentic tooling ecosystem Agentic programming: the paradigm shift Final thoughts 🇧🇷 Leia em Português September 2025. I was leading a critical dependency upgrade on a mobile app with millions of users. The kind of change that breaks tests in a cascade. The deadline was October: if it wasn't ready, the app wouldn't ship to the store. The problem: nearly 10,000 tests needed to be adapted for the new version. Code owned by over 20 teams, spread across hundreds of modules. I thought "what if I give these AI tools everyone keeps talking about a real shot?" After watching a few videos and reading the docs, I spun up four terminals running Claude Code in parallel, each one migrating a slice of the tests. One

OpenAI Advocates Electric Grid, Safety Net Spending for New AI Era
OpenAI has released a set of policy recommendations meant to help navigate an era of artificial intelligence-fueled upheaval including suggesting the creation of a public wealth fund, fast-response social safety net programs and speedier electrical grid development.



Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!