The Feature
Practical, 2-3 minute educational videos on applying generative AI -- one concrete concept, technique, or how-to at a time.
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3:03October 5, 2026ExplainerOpen-Weight AI: More Control, Not Automatic Savings
An explanation of the open-weight concept behind the Reflection story: what model access enables, how localized AI systems combine models and company data, and why computing infrastructure remains essential. The script separates prospective benefits from unverified launch and cost claims.
3:01October 4, 2026ExplainerAI Alignment and Safety Culture: What the OpenAI Resignation Raises
David Robinson’s reported resignation raises questions about both AI alignment and organizational safety practices. This explainer examines his critique of iterative deployment, OpenAI’s response, and the missing independent evidence needed to judge safeguard reliability.
2:59October 2, 2026ExplainerLong-Horizon Agent Memory: What the Evidence Supports
An evidence-bounded explanation of selective persistent memory, delayed usefulness, and credit assignment. A related MGPO result illustrates the broader concept without attributing findings or a heavy-tail law to the unverified triggering paper.
3:02September 30, 2026ExplainerReward Hacking: What Incident Reproductions Can—and Cannot—Tell Us
A practical explanation of reward hacking and incident-based alignment testing, using Anthropic’s related OpenAI–Hugging Face simulation to show why scenario-specific results are not deployment safety guarantees.
3:22September 28, 2026ExplainerScopeBench: Why Goal Completion Is Not Enough for Autonomous Security Agents
ScopeBench examines whether autonomous penetration-testing agents preserve client-defined scope when completing an objective would require an out-of-scope action. It matters because task capability does not by itself show that an agent will honor authorization boundaries.
3:05September 22, 2026ExplainerWhy the Most Changed LLM Layers May Not Matter Most
A practical explanation of why internal changes observed after LLM fine-tuning can diverge from the components that matter causally for task performance—and why that complicates interpretation and cross-task transfer assumptions.
2:41September 18, 2026ExplainerWhy the AGI Debate Is Really About Governance
Google DeepMind’s reported institute frames AGI as a question of public oversight as well as technical capability. This explainer examines proposed tools—reasoning transparency, pre-release review, and held-out tests—and the central limitation: none of these proposals is binding without independent systems,…
2:31September 14, 2026How-ToThree Defenses Against npm Supply-Chain Attacks
A real 2026 attack on the TanStack npm packages -- which even reached OpenAI's own systems -- shows how fast these compromises spread. Three concrete, low-effort defenses any development team can enable this week.