Matthew Berman reviews Gemini 4 Carbon benchmarks
Matthew Berman reviews reported Gemini 4 Carbon benchmarks and discusses the model’s rollout, pricing and efficiency.
One-sentence takeaways and concise summaries of important AI videos.
Matthew Berman reviews Gemini 4 Carbon benchmarks
Matthew Berman reviews reported Gemini 4 Carbon benchmarks and discusses the model’s rollout, pricing and efficiency.
Károly Zsolnai-Fehér on DeepSeek and self-feedback
Károly Zsolnai-Fehér discusses DeepSeek’s reported gains, cost per task and a tentative self-feedback hypothesis.
Nathaniel Whittemore on Anthropic’s IPO filing
Nathaniel Whittemore reviews reported figures and risks in Anthropic’s IPO filing and discusses other AI news.
Kamil Potrec on authentication for AI agents
Kamil Potrec explains how distinct agent identities and scoped credentials can support safer authorization.
Wes Roth builds an AI game benchmark
Wes Roth demonstrates a fantasy game benchmark built and tested with AI coding and design tools.
David Ondrej tests Kimi K3.1 Pro for coding and 3D
David Ondrej reviews Kimi K3.1 Pro with hands-on 3D tests and discusses benchmarks, cost and security.
Patrick Smyth on AI and open source security risks
Patrick Smyth examines open source supply chain threats and practical defenses in an era of AI-assisted attacks.
Matthew Berman tests DeepSeek V4.1 Flash
Matthew Berman tests DeepSeek V4.1 Flash on visual interpretation, browser-based applications and locally generated software, then discusses speed, benchmarks and cost.
Edward Hu on measuring AI at work
Edward Hu explains how Mercor evaluates AI on work tasks and why fair, diverse benchmarks matter when comparing model performance.
Fuad Ali on rebuilding an AI agent harness
Fuad Ali describes lessons from rebuilding an in-product agent, including planning, memory, regression tests and human judgment.
Running AI Locally at Gannon University - 0xSero
At Gannon University, 0xSero explains the basics of model files and memory, and argues that running AI locally gives users more control over access and capability.
AI found a new result. Nobody can explain it.
Mo Bitar considers a reported AI-generated physics result and argues that human understanding remains important in scientific research.
Testing Genie 4 Interactive World Models - Tim Simmons
Tim Simmons explores Genie 4’s interactive generated worlds, sound and prompt-based changes while showing limitations in scale, object permanence and game mechanics.
Stop Giving Your Agent Tools. Give It a Sandbox - Mikyo King
Mikyo King explains how Arize Phoenix lets agents search for tools and compose their use in sandboxed code, and discusses the resulting efficiency gains and security trade-offs.
Anthropic Just Filed to Go Public
Jack Roberts and Nick Saraev discuss GPT-6.1 Terra’s pricing and computer use, then consider claims about Anthropic’s public filing and investment across the AI stack.
Deepseek 4.1 Flash on 2 DGX Sparks changed my life
Alex Finn connects two DGX Sparks to run DeepSeek V4.1 Flash locally, then tests conversational and game-building tasks and discusses continuous agent workloads.
What a bank payment error teaches us about AI agents
John Feminella uses a major bank payment error to explain five controls for giving AI agents useful autonomy while managing operational risk.
Four principles for avoiding AI agent productivity theater
Nate B Jones argues that useful AI agent work depends on accounting for human follow-up, choosing experiments deliberately, setting stop conditions and protecting attention.
AI mathematical breakthroughs and computational limits
Wes Roth examines reported AI mathematics results and explains how the exponential time hypothesis relates to questions about computational complexity.
Four questions shaping AI this week
Nathaniel Whittemore examines questions about open-weight models, cybersecurity, data center finance and funding for frontier AI companies.