Image via IEEE Spectrum
Thursday, February 26, 2026
Claude's Getting a Corner Office at Infosys
The enterprise AI arms race is heating up: Anthropic just partnered with Infosys to deploy regulated AI agents into the wild (bold move for compliance), while Perplexity launched their multi-model Computer system for autonomous workflows. Meanwhile, OpenAI dropped their Codex Prompting Guide to help you actually build the things, and yikes, math benchmarks are already obsolete because AI's advancing faster than we can measure it. Here's the real question: are you building the next regulated enterprise agent, or just trying to keep up?
Image via IEEE Spectrum
Top Stories
Mindstream
Anthropic and Infosys partner to deploy Claude-powered AI agents in regulated industries, combining Anthropic's frontier models with Infosys's domain expertise to deliver compliant, production-ready enterprise solutions.
TechCrunch
OpenAI's newly hired developer Peter Steinberger urges AI builders to approach development playfully and iteratively, comparing mastering AI-assisted coding to learning an instrument—a skill that takes time, reflection, and persistence rather than immediate expertise.
OpenAI
OpenAI releases a detailed technical guide for optimizing the gpt-5.3-codex model, covering prompting strategies, tool integration, context management, and personality tuning to enable highly autonomous coding agents that can work for hours on complex tasks.
IEEE Spectrum
AI systems are solving advanced mathematics at unprecedented speed, with benchmarks becoming obsolete faster than they can be created, forcing the research community to develop harder challenges like First Proof and FrontierMath: Open Problems to meaningfully measure AI capabilities.
Perplexity
Perplexity Computer represents a shift from single-model AI to intelligent multi-model orchestration, enabling autonomous long-running workflows that decompose complex tasks and deploy specialized AI models for optimal results. This addresses a key bottleneck in AI product development where frontier models now exceed product capabilities.
Keep Reading
Industry Voices
Summer Yue
Director of Alignment at Meta
She's shaping how Meta's LLMs stay aligned at scale, with direct insight into the safety challenges of deploying AI to billions of users.
Andrew Ambrosino
Member of Technical Staff on the Codex app at OpenAI
He's building the interface layer between developers and frontier models, revealing where AI coding tools actually break in production.
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