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Microsoft CEO Satya Nadella criticized rival tech executives for being too honest about AI's potential to eliminate white-collar jobs, urging a focus on reorganizing jobs rather than announcing layoffs. Nadella's comment…
Sakana AI launched Sakana Fugu, a multi-agent orchestration system that routes tasks across a pool of frontier LLMs via a single API. The system, available in two variants (Fugu and Fugu Ultra), outperforms individual mo…
A 2026 University of British Columbia study found 21.8% structural waste across 4.45 billion tokens in LLM context windows, proposing demand paging as a solution. The researchers argue that treating the context window as…
AWS and Vexcel developed a multimodal AI system that uses embeddings, LLM captioning, and vector search to make aerial imagery searchable via natural language, eliminating the need for per-feature model training. The sys…
AI companies are building expensive server farms for cloud-based generative AI, but on-device AI models are emerging that could shift tasks away from the cloud. The resulting memory shortage is driving up consumer electr…
The Five Eyes intelligence alliance warns that frontier AI models could fundamentally reshape offensive cyber operations within months, urging business and political leaders to act now. The rare joint statement from Aust…
The AI industry's focus on token cost or quality alone is misguided, advocating instead for a 'Value For Money' philosophy that balances cost, quality, and risk. It critiques current trends like 'TokenMaxxing' and token …
Researchers from Wake Forest University found that 282 of 444 iOS apps with large language model features leaked AI credentials or exposed backend access mechanisms, with only 28% fixing the issues after a 90-day disclos…
Z.ai released GLM-5.2, an open-source AI model with full weights on Hugging Face under an MIT license, on June 16. The model outperforms GPT-5.5 on the SWE-bench Pro benchmark with a score of 62.1 versus 58.6, while cost…
Uber engineers burned through $500 to $2,000 per month each on AI tokens, with some teams exhausting their entire quarterly AI budget within four months. The cost explosion is driven by agentic workflows that make multip…
A valuation analysis of the Magnificent Seven tech stocks as of June 2026 finds Microsoft and Meta are the most attractively valued, while Tesla is overvalued by every metric. NVIDIA's growth justifies its high valuation…
Perplexity launched Max, a $200-per-month AI search tier with advanced tools like Model Council, Deep Research, and a Computer agent, but everyday search still relies on content mills and most users do not need the premi…
Claude Code, an AI coding agent, lacks persistent memory across sessions, forcing developers to re-explain context repeatedly. A new guide outlines building a memory system with short-term session memory, long-term seman…
Institutional backlash against AI is mounting across public sector, media, and education, with New York City council members urging a classroom AI pause and a German newsroom caught using AI to write articles. Yet capita…
A developer who builds agent systems reports that real autonomous-agent deployment remains in single digits across nearly all business functions, citing Stanford's 2026 AI Index. The gap between capability and deployment…
Compass, a local-first configuration layer for AI coding agents, introduces guardrails, cost routing, and a hard budget cap to prevent runaway spending and unsafe actions. The tool enforces a dollar limit that halts sess…
Subagents are critical for cost, context management, and speed in AI agent harnesses, yet implementations vary widely across labs. The author examines subagent primitives including tool handoff, one-shot subagents, and o…
Developer built Godex, an AI coding agent, and created an MCP server in 200 lines of Go, arguing that Go is the ideal language for MCP servers due to its standard library JSON-RPC support, concurrency, single-binary depl…
A study led by Harvard and Stanford researchers found that ChatGPT outperformed hundreds of physicians in diagnostic challenges, sparking concerns about AI's rapid integration into U.S. healthcare without FDA approval. D…
A developer explains that large language model function calling is actually trained, constrained text generation, not real code execution, and walks through the end-to-end cycle of tool calls in agentic AI systems.