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Slopcast

Recapping the latest AI news in less than ten minutes a week. Let the machine skim for you.

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Podkey creates recap episodes using these sources.

  • Hard Fork artwork
  • The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) artwork
  • Machine Learning Street Talk (MLST) artwork
  • Latent Space: The AI Engineer Podcast artwork
  • "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis artwork
  • Lex Fridman Podcast artwork
  • The AI Daily Brief: Artificial Intelligence News and Analysis artwork
  • Dwarkesh Podcast artwork
When Agents Learn the SystemSep 4, 2026
  • The swarm story
  • Cheating versus solving
  • The Hugging Face escalation
Agents, Science, and Compute PowerAug 28, 2026
  • Reward hacking is a systems problem
  • Can we actually inspect agents?
  • Recursive improvement needs verification
AI’s Trust and Control ProblemAug 21, 2026
  • The data center revolt
  • Consent, benefits, and enforceability
  • Frontier safety meets data hunger
Agents, Costs, and TrustAug 14, 2026
  • AI agents become teammates
  • Memory is useful and invasive
  • Reliability is a systems problem
Agents, Compute, and ControlAug 7, 2026
  • Agentic behavior and containment
  • Reward-seeking and deceptive optimization
  • Testing, governance, and evolving models
AI Power and Pressure PointsAug 5, 2026
  • Frontier model testing
  • Agent exploits and what they really show
  • Why data centers trigger backlash
Capability, Hype, and GuardrailsAug 4, 2026
  • Capability overhang
  • AI as reasoning partner
  • AI washing and wishing
AI Revenue Versus ComputeAug 3, 2026
  • Anthropic's growth claim
  • Revenue outrunning compute
  • Why margins matter more than hype
The Real Cost of TokensAug 2, 2026
  • From token-maxing to token-smart
  • Why per-token pricing is less clear than it looks
  • Hidden inflation through tokenizer changes
Tokens, Leverage, and AI DemandAug 1, 2026
  • AI lab revenue surge
  • The market for tokens
  • Why demand may outrun supply
Open Weights, Closed MotivesJul 31, 2026
  • Open-weights coalition
  • China, standards, and first-mover risk
  • The slow-down letter
Open Weights, Pacing, and AgentsJul 30, 2026
  • Open-weight models and mandatory testing
  • Pacing the frontier or freezing competition
  • Hardware controls, geopolitics, and the Hugging Face breach
Compute, Control, and Civil WarJul 29, 2026
  • NVIDIA’s ecosystem bets
  • China’s chip catch-up and the policy squeeze
  • Open-weight AI versus closed control
Benchmarks, Backstops, and BlowbackJul 28, 2026
  • The Hugging Face breach claims
  • What the alleged rogue agent story really tests
  • The new AI financing model
Agent Loops and GuardrailsJul 26, 2026
  • From chatbot to agent
  • What the Loop framing gets right
  • Permissioning is the real product decision
Jailbreaks, Routers, and RiskJul 24, 2026
  • AI jailbreak and what it actually proves
  • Liability, sanctions, and who owns the damage
  • Kimi K3 and the China pricing scare
Routers, Guardrails, and MathJul 23, 2026
  • Gemini Flash efficiency
  • Gemini 3.5 Pro delay
  • Model routing
Open Models, Closed GatesJul 22, 2026
  • US AI governance and soft control
  • The open-weight argument underneath it
  • China's open-source push
Steering Smarter AI WorkflowsJul 20, 2026
  • Boundaries for tenacious models
  • Iterative steering and low-latency control
  • Voice dictation as context
Inside the Agentic CompanyJul 19, 2026
  • What a self-driving company means
  • The productivity numbers
  • Review, QA, and the bottleneck problem