Discussions, opinions, and notable voices in AI — 256 articles
Simon Willison · Apr 2
Simon Willison argues that November 2024 marked an inflection point where GPT-5.1 and Claude Opus 4.5 crossed a threshold: code now works correctly most of the time rather than requiring constant debu
Wxxinews · Apr 3
Local colleges are updating programs to prepare students for an AI-heavy job market, though details on curriculum changes and concrete skill-building remain sparse.
DZone AI · Apr 2
Enterprise systems excel at reporting outcomes but struggle with causal analysis; the piece argues for graph-based approaches to connect decisions to results, though details on implementation remain v
DZone AI · Apr 1
AI coding agents have solved code generation speed but created a new problem: developers now spend more time validating agent output than they save from automated coding, shifting the bottleneck from
Insidehighered · Apr 2
A California State University survey reveals widespread AI tool usage among faculty and students despite public concerns, with ChatGPT and similar tools already integrated into coursework and administ
Tom's Guide · Apr 2
A writer applied Toyota's classic "Five Whys" problem-solving method to ChatGPT conversations to identify professional blind spots, finding the iterative questioning approach surfaced uncomfortable tr
One Useful Thing · Mar 31
Chatbot interfaces sabotage AI productivity despite capable underlying models: research shows financial workers using GPT-4o1 experienced cognitive overload from unstructured text walls and sprawling
Sjsu · Apr 1
California State University surveyed faculty and students across its system on AI use in classrooms, revealing adoption patterns and concerns among educators and learners in higher education.
Hackaday · Apr 1
Microsoft's Copilot terms of service claim the tool is "for entertainment purposes only"—a legal hedge that contradicts how millions actually use it for work, coding, and real-world tasks. Hackaday co
Eurasiareview · Apr 1
An opinion column argues that autonomous AI agents will transform customs and border security operations, though no specific implementations, regulatory changes, or technological breakthroughs are det
Fortune · Apr 1
Nvidia CEO Jensen Huang argues workers conflating their jobs with the tools they use shouldn't fear AI displacement, framing automation anxiety as a misunderstanding of professional identity rather th
Bloomberg Tech · Apr 1
Bain Capital's David Gross warns that CEOs are treating AI as a technology deployment problem rather than a business transformation opportunity, missing the strategic implications.
Simon Willison · Apr 1
Economic competition between AI models will naturally drive better code quality, argues Soohoon Choi—cheaper maintenance and faster shipping favor clean, maintainable code over shortcuts.
Tom's Guide · Apr 1
A side-by-side comparison of Claude and DeepSeek across 7 real-world tasks — math, coding, and hallucination resistance — reveals performance gaps in clarity and accuracy, with one model emerging as m
MIT Tech Review · Mar 31
Current AI benchmarks test isolated tasks against human performance, but ignore how AI actually gets used—embedded in teams, workflows, and organizations over time. MIT researcher argues this gap caus
The Verge AI · Mar 31
Art schools are integrating generative AI into curricula as students face both new tools and fierce job market competition. Not everyone welcomes the change.
Latent Space · Mar 31
Tech org charts are restructuring around AI roles—the piece maps emerging positions (AI Engineer, Tiny Teams) against a gaming-inspired framework, with Linear's CEO drawing WoW raid analogies to post-
DZone AI · Mar 30
As LLM capabilities flatten across vendors, competitive advantage shifts from raw model power to operationalization maturity—the ability to turn fragile prototypes into production-grade systems at sca
Fortune · Mar 30
A founder used ElevenLabs voice AI and Claude to call 3,000+ Irish pubs and build a real-time price index for Guinness, exposing price gouging and triggering competition that lowered prices. The "Guin
Simon Willison · Mar 30
Georgi Gerganov (llama.cpp creator) explains why local models often fail silently: the inference pipeline—chat templates, prompt construction, model harnesses—is fragmented across multiple parties and