A daily news analysis show on all things artificial intelligence. NLW looks at AI from multiple angles, from the explosion of creativity brought on by new tools like Midjourney and ChatGPT to the potential disruptions to work and industries as we know them to the great philosophical, ethical and practical questions of advanced general intelligence, alignment and x-risk.
The era of subsidized AI usage is rapidly concluding as the surge in agentic workflows drives token consumption to unprecedented levels. Companies are shifting from flat-fee subscriptions to usage-based billing models to address unsustainable compute demands and service reliability issues. This transition reflects a br...
The AI industry faces a critical convergence of massive compute demand, energy constraints, and escalating geopolitical tensions. Hyperscalers like Google and Amazon are securing unprecedented compute capacity through multi-billion dollar deals with AI labs, effectively locking in infrastructure that rivals historical ...
Building an agentic operating system (Agent OS) provides a portable, tool-agnostic foundation that allows knowledge workers to extract superior results from evolving AI models. Rather than relying on specific platforms, this framework centers on seven core layers—identity, context, skills, memory, connections, verifica...
OpenAI’s release of GPT 5.5 marks a significant shift in the competitive AI landscape, positioning the model as a premier tool for knowledge work, coding, and autonomous agentic tasks. Benchmarks and early user feedback indicate that the model outperforms predecessors in speed, reliability, and instruction following, e...
Leading organizations are shifting from viewing AI as a mere productivity tool to leveraging it as a core driver of business model transformation and growth. Data indicates that top-performing companies capture the vast majority of AI’s economic gains by integrating systems that prioritize organizational coordination a...
The recent releases of Opus 4.7 and the updated Codex application signal a shift toward more autonomous, agentic workflows for knowledge workers. Codex now features Mac-based computer use, allowing agents to operate GUIs and interact with non-API applications, while introducing "Heartbeats" to maintain persistent conte...
Harness engineering represents the critical evolution of AI development, shifting focus from prompt and context engineering to the design of robust systems that surround and support foundation models. This discipline involves creating the infrastructure—including tools, memory, and orchestration layers—that enables age...
AI agents are fundamentally reshaping organizational structures by replacing the traditional middle management function of information routing. Historically, hierarchical systems like the Roman military and modern corporations relied on human layers to aggregate data and relay decisions. Today, centralized "world model...
The podcast examines the state of enterprise AI adoption, highlighting both progress and persistent challenges. It notes A16Z's finding that a significant percentage of large companies are paying customers of AI startups, with coding, support, and search being dominant use cases. KPMG's data reveals increasing AI spend...
The AI industry is currently defined by a tension between restricted, high-power models and a rapid proliferation of accessible agentic tools. While major labs like OpenAI and Anthropic face scrutiny for withholding powerful models due to cybersecurity risks, the broader ecosystem is accelerating; Meta’s Muse Spark and...
Anthropic's new AI model, Mythos, is so powerful that its general release is deemed unsafe, sparking both fear and skepticism. The model's ability to find zero-day vulnerabilities in major operating systems and execute sophisticated exploits has led to its limited release to select partners under Project Glasswing for ...
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