Inside OpenAI’s in-house data agent
How OpenAI built an in-house AI data agent that uses GPT-5, Codex, and memory to reason over massive datasets and deliver reliable insights in minutes.
engineering
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Stratospheric internet could finally start taking off this year
Today, an estimated 2.2 billion people still have either limited or no access to the internet, largely because they live in remote places. But that number could drop this year, thanks to tests of stratospheric airships, uncrewed aircraft, and other high-altitude platforms for internet delivery. Even with nearly 10,000 active Starlink satellites in orbit and
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Baya Systems Expands Bengaluru Engineering Hub to Support AI, HPC Growth
Baya Systems, a leader in high-performance semiconductor system technologies, has announced the expansion of its engineering hub in Bengaluru to scale its work in AI, high-performance computing (HPC) and automotive systems. The company said the move supports rising global demand for software-driven, chiplet-based semiconductor architectures. The expanded hub is located at Brigade Metropolis in Bengaluru
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Datadog: How AI code reviews slash incident risk
Integrating AI into code review workflows allows engineering leaders to detect systemic risks that often evade human detection at scale. For engineering leaders managing distributed systems, the trade-off between deployment speed and operational stability often defines the success of their platform. Datadog, a company responsible for the observability of complex infrastructures worldwide, operates under intense
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Demystifying AI in the Water Industry
Participants and organizers of the TriCon AI Workshop: (L-R) Travis Wagner (Trinnex), Alana Gildner (BV), Yudu (Sonia) Wu (WSP), Madeleine Driscoll (Hazen and Sawyer), Craig Daley (City of Baltimore), John Smith (Haley Ward), Brian Ball (VA Engineering), David Gisborn (DC Water), and Davar Ardalan (TulipAI). Brandon O’Daniel of Xylem, one of the speakers, was not
Manufacturing’s pivot: AI as a strategic driver
Manufacturers today are working against rising input costs, labour shortages, supply-chain fragility, and pressure to offer more customised products. AI is becoming an important part of a response to those pressures. When enterprise strategy depends on AI Most manufacturers seek to reduce cost while improving throughput and quality. AI supports these aims by predicting equipment