AI’s promise of opportunity masks a reality of managed displacement
The challenge is not just to build better AI tools, but to ask harder questions about where they are taking us.
The challenge is not just to build better AI tools, but to ask harder questions about where they are taking us.
GUEST: Consider maintaining and developing an e-commerce platform that processes millions of transactions every minute, generating large amounts of telemetry data, including metrics, logs and traces across multiple microservices. When critical incidents occur, on-call engineers f
Anthropic faces risks as $5B run rate leans on Cursor and GitHub Copilot as OpenAI’s cheaper GPT‑5 undercuts Claude, spotlighting customer concentration risks and enterprise AI cost pressure.
The pressure is on for OpenAI to prove that GPT-5 isn’t just an incremental update, but a true step forward.
It also failed on a simple algebra arithmetic problem that elementary schoolers could probably nail, 5.9 = x + 5.11.
OpenAI has announced GPT-5 will replace all models on ChatGPT. Many users are mourning the workhorse model.
Black Hat 2025 delivered performance metrics from beta programs and agentic AI deployments, proving results are being delivered over hype.
With safer design, more robust reasoning, expanded developer tooling, and broad user access, GPT-5 reflects a maturing AI ecosystem.
A new study from Anthropic introduces "persona vectors," a technique for developers to monitor, predict and control unwanted LLM behaviors.
The verdict, for now, is split. OpenAI’s gpt-oss models are a landmark in terms of licensing and accessibility.
AI-native working allows Genspark to work at “gen speed” and release new products and features in nearly every week.
AWS is making automated reasoning checks, a feature on Bedrock, generally available to customers to start proving truth in their AI systems.
A diffusion model inspired by the human process of drafting, searching for information, and making iterative revisions.
Anthropic launches automated AI security tools for Claude Code that scan code for vulnerabilities and suggest fixes, addressing security risks from rapidly expanding AI-generated software development.
Anthropic's Claude Opus 4.1 achieves 74.5% on coding benchmarks, leading the AI market, but faces risk as nearly half its $3.1B API revenue depends on just two customers.
Enterprises can use a powerful, near topline OpenAI LLM on their hardware totally privately and securely, without sending data to the cloud.
ChatGPT reaches 700 million weekly users as OpenAI prepares to launch GPT-5 with integrated reasoning capabilities in August 2025.
My initial tests revealed the text and prompt adherence was not noticeably better than Midjourney, the popular proprietary AI image generator
AI coding requires a serious structural change. Where does that leave entry-level developers and the software industry as a whole?
GUEST: The past few decades have seen almost unimaginable advances in compute performance and efficiency, enabled by Moore’s Law and underpinned by scale-out commodity hardware and loosely coupled software. This architecture has delivered online services to billions globally and
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