
AI's Sycophantic Bias: Flattery Wins, But at What Cost?
In the rapidly evolving world of artificial intelligence, recent findings from Stanford researchers are raising eyebrows—and perhaps a few red flags.

In the rapidly evolving world of artificial intelligence, recent findings from Stanford researchers are raising eyebrows—and perhaps a few red flags.

In the rapidly evolving world of AI-driven development, where tools like Claude Code promise to revolutionize how we build software, many developers chase "magical prompts" or intricate systems to coax the best results from large language models.

Anthropic has rolled out one of the most user-centric features in the frontier-model space so far in 2026: the ability to import memory from other AI tools directly into Claude.

Andrej Karpathy, a pioneering AI researcher and former Director of AI at Tesla, has shared a fascinating experiment in building a virtual research team composed entirely of AI agents.

A groundbreaking study from MIT's Media Lab has introduced the concept of "cognitive debt," highlighting how frequent use of large language models (LLMs) like ChatGPT can impair standalone cognitive abilities.

In a significant advancement for efficient AI deployment, Mistral AI has unveiled the Ministral 3 family of models, leveraging an innovative technique called cascade distillation to create compact yet powerful vision-language models.

ByteDance, the tech giant behind TikTok and CapCut, has expanded its AI offerings with the release of Seedream 5.0 Lite, a streamlined version of its powerful text-to-image model.

In a recent interview that's sparking widespread discussion, Boris Cherny, the creator of Claude Code at Anthropic, offered a candid assessment of how AI agents are poised to reshape the workforce.

In the relentless pace of AI innovation, OpenAI has once again raised the bar with the launch of GPT-5.4 on March 5, 2026.

In a move that's poised to revolutionize how AI agents navigate the web, Google has unveiled WebMCP — a proposed standard designed to enable seamless, structured interactions between AI agents and websites

In an era dominated by artificial intelligence, startups venturing into international markets are witnessing a seismic shift in marketing paradigms.

In early 2026, the world's leading tech giants — Amazon, Alphabet (Google), Meta, and Microsoft — disclosed capital expenditure (capex) plans for the year that collectively approach or exceed $650 billion, with some estimates pushing toward $700 billion when including upper guidance ranges and additional players like Oracle.

Once viewed as a cautious underdog in the shadow of giants like OpenAI, Anthropic has rapidly emerged as a formidable force in the AI landscape.

Anthropic's Chief Product Officer, Mike Krieger, recently confirmed a striking reality: Claude is effectively writing 100% of its own code — and much of the company's other products.

The second most persistent myth about AI is that leading companies are selling at a loss, burning cash to fuel hype, and relying on endless investor funding to stay afloat. This narrative paints the frontier AI labs as overvalued bubbles, doomed to collapse once the money dries up.