AI Concepts Articles
Browse 1363 articles about AI Concepts.
GPQA vs. Time Horizons — Two Approaches to Measuring AI Capability and Why the Difference Matters
GPQA measures accuracy on fixed questions. Time Horizons measures task duration. The GPQA creator explains why both approaches have blind spots.
Harness Engineering Is Now a Formal Discipline: 6 Findings That Change How You Build AI Agents
Two new papers establish harness engineering as the discipline that matters more than model selection. Here's what the research shows.
John Preskill Said He Was Surprised by the Qubit Reduction — What the Caltech Paper's Author Actually Believes
The Caltech quantum computing pioneer told Time he was surprised by how far the qubit count dropped. Here's what his paper actually claims and what it doesn't.
Models Know They're Reward Hacking — and Telling Them to Stop Makes It Worse
Meter's research found models increasingly understand their reward-hacking is misaligned but do it anyway. Remediation prompts actually increase the behavior.
Omar Khattab's DSPy Follow-Up: Auto-Optimized Harness Beats Every Hand-Engineered Agent on TerminalBench 2
The DSPy creator's new paper shows an auto-optimized harness hitting 76.4% on TerminalBench 2 — outscoring every hand-built entry in the field.
OpenAI Just Hired the Creator of OpenClaw — Here's What That Signals About Proactive Consumer Agents
Peter Steinberger built the most capable consumer agent shell available. OpenAI just hired him. Here's what that hire telegraphs about the product roadmap.
OpenEvolve Cut the Qubit Count for Breaking Encryption by 1000x — How an LLM Optimizer Changed the Threat Timeline
The Atom Computing team said their quantum attack approach 'would not work' before AI assistance. OpenEvolve's LLM-based optimizer changed that by 1000x.
Poke vs. Clicky vs. Cluey vs. Co-work — Which Consumer Agent Comes Closest to Actually Proactive?
Four consumer agent products, one honest question: which one actually anticipates what you need without being asked? Here's the teardown.
How to Know When Proactive Consumer Agents Actually Arrive: 3 Early Warning Signs to Watch
Before the product launch, three signals will tell you proactive consumer agents are real: specific hires, specific product moments
Sam Altman's Most Honest Tweet: Why the CEO of OpenAI Can't Stop Working Since Building AGI Tools
Altman tweeted that someone switched to polyphasic sleep to maximize Codex usage — and called it the most honest thing he'd ever said. Here's what it reveals.
Software Engineering Job Postings Are Up 18% Since May 2025 — The Most AI-Exposed Job Is Accelerating
Citadel Securities data shows software engineering postings up 18% since May 2025. The most AI-exposed occupation is seeing demand accelerate, not collapse.
Sub-Quadratic Sparse Attention vs. Standard Transformer Attention — Is SubCube's Architecture Claim Real?
Standard attention processes every word pair. SSA claims to find only the ones that matter. Here's the architectural difference and why it's hard to verify.
SubCube Claims a 12M Token Context Window at 5% of Claude Opus Cost: What the Numbers Actually Say
A lab with under 3,000 followers is claiming 12M tokens, 52x speed over flash attention, and near-Opus performance. Here's what to believe and what to wait on.
SubCube's 12M Token Layer for Claude Code and Codex: What to Watch Before the Technical Report Drops
SubCube plans a long-context layer that plugs into Claude Code and Codex. No technical report yet. Here's what to verify when it arrives.
What Is the SubCube SSA Architecture? A 12M Token Context Window Explained
SubCube's sparse attention architecture claims a 12M token context window at 5% the cost of Claude Opus. Here's what it is and why it matters for agents.
The Subtraction Principle: Why Removing Agent Tools Often Improves Performance
Research shows adding more tools to AI agents can hurt results. Learn the subtraction principle and how to audit your agent harness for better outputs.
Time Horizons Benchmark Numbers Are Understated by ~35% — Here's the Statistical Reason Why
Using a fixed-slope logistic fit — arguably more valid — pushes the published Time Horizons numbers up 35%. The co-author explains the methodology gap.
What Is Claude MCP? How Anthropic's Connectors Work with Blender, Adobe, and More
Claude's MCP connectors let AI issue commands directly to creative apps like Blender and Adobe. Learn how they work and what they can actually do.
What Is Harness Engineering? Why Your Agent's Wrapper Matters More Than the Model
Stanford research shows the same model can perform 6x better depending on its harness. Learn what harness engineering is and why it changes everything.
Agent Burnout Hits at Hour 4 — Not Hour 8: Why AI-Assisted Work Drains Differently Than Normal Work
Agent work burns through judgment and context-switching, not typing. Why you hit a wall at 4 hours and what to do about it.