US Department of Labor, National Science Foundation announce collaborative efforts on AI workforce, TechAccess Initiative - U.S. Department of Labor (.gov)
US Department of Labor, National Science Foundation announce collaborative efforts on AI workforce, TechAccess Initiative U.S. Department of Labor (.gov)
Could not retrieve the full article text.
Read on GNews AI USA →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
announcenational
Silverback AI Chatbot Announces Development of AI Assistant Feature to Support Automated Digital Interaction and Workflow Management - York Daily Record
Silverback AI Chatbot Announces Development of AI Assistant Feature to Support Automated Digital Interaction and Workflow Management York Daily Record
The AI Professional Development Loop — and What It Devalues for Teachers
OpenAI. Illustration of Teachers in Professional Development Discussing AI and Pedagogy. 2026. AI-generated image. ChatGPT. This teacher’s social media feed has become a relentless loop of AI professional development ads, sandwiched between recycled prophecies about how edtech will “change education forever.” The sentiment has been repeated so often and with so little payoff that it’s lost its punch. Despite the constant cry for more training by multiple voices (often politicians, consultants and others outside of the classroom), I find myself craving the opposite: balance. Every new AIannouncement feels like another barrier wedged between teachers and the human conversations they actually need to be having. Most of this obsession with AI isn’t malicious; most of it is well-intentioned. Bu
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases
Obsolescence without hostility: optimization, uniformity, and the erosion of human meaning in a post-AI world
Most contemporary discussions of artificial intelligence focus on misalignment, loss of control, or catastrophic harm. This paper examines a different and comparatively neglected possibility: that advanced AI may erode the social conditions under which human meaning has historically been generated, without conflict, coercion, or displacement. The central question is not whether AI dominates humanity, but whether human participation remains causally significant once AI systems outperform humans across core instrumental domains. The argument is conditional and long-horizon in scope. It proceeds from the observation that existing limits on AI superiority are primarily technological and economic rather than principled. If these constraints are progressively overcome, and AI systems come to out
I built an AI data extraction engine and E2E encrypted SMS router in Rust
I recently launched SendStackr. The original itch came from my time working at an agency that managed multiple Upwork accounts and a "phone farming" operation (around 50 physical devices). We needed to centralize inbound emails and forward SMS (mostly for 2FA/OTPs), but the existing tools were either prohibitively expensive, forced us to set up individual webhooks per device, or timed out when trying to pipe heavy unstructured data through standard no-code wrappers. To solve this, I built my own routing and extraction engine. Instead of relying on standard APIs, I wrote the backend entirely in Rust, building custom SMTP and IMAP servers to ingest the emails natively. It uses Graph RAG to read unstructured PDFs, raw HTML emails, and webhooks, extracting the exact variables needed and return
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!