engblogs

Murakkab automates the design and dynamic optimization of agentic workflows to minimize energy, computation, and cost in cloud deployments by automatically selecting models and tools, orchestrating sequential and parallel execution, and adaptively allocating hardware resources to meet user latency and accuracy priorities.

Explores how curiosity-driven science championed by MIT and public investment drives American innovation, safety, and prosperity amid funding uncertainty.

Blueprint for privacy-aware infrastructure that integrates context-rich asset classification with a deterministic enforcement path and selective LLM reasoning for auditable, low-latency privacy controls.

A practical blueprint for privacy-aware infrastructure in the AI-native era, showing how asset classification, context-rich evidence, a deterministic-first funnel, and selective LLM reasoning enable auditable, low-latency enforcement.

How DSPy enables an evaluation-driven feedback loop that calibrates judges and optimizes prompts (via GEPA and MIPROv2) to improve Dropbox's Dash chat agent—delivering more grounded, complete answers with fewer incomplete responses and lower token usage.

Jalapeño, a blank-slate LLM inference accelerator from OpenAI and Broadcom, is engineered for a multi-generation compute platform to deliver substantially higher performance per watt and enable gigawatt-scale data centers through a full-stack AI infrastructure.

OpenAI and Broadcom unveil Jalapeño, a blank-slate LLM inference accelerator engineered for gigawatt-scale data centers to deliver higher performance per watt and enable a multi-generation, full-stack AI compute platform.

OpenAI and Broadcom unveil Jalapeño, a purpose-built LLM inference accelerator designed to maximize performance per watt and scale across multi-generation data-center deployments.

Pinterest's automated schema evolution framework for a CDC-based ingestion platform (Kafka, Flink, Spark, Iceberg) that safely propagates additive schema changes through a three-phase convergence with PR-based auditing and SLA-driven online/offline consistency, moving toward zero-gap evolution.

Automated, SLA-driven schema evolution for Pinterest's multi-stage CDC ingestion framework (Kafka, Flink, Spark, Iceberg) that safely migrates schemas with a three-phase convergence and PR-based auditing toward zero-gap data consistency.

Qualcomm’s acquisition of Modular aims to fuse an AI-native software stack with silicon leadership to accelerate edge-to-cloud AI across devices and data centers via an open, vendor-neutral ecosystem.

Gemini 3.5 Flash now ships with native built-in computer use, enabling cross-environment agents via the Gemini API and Enterprise Platform, while applying adversarial training and defense-in-depth safeguards for reliable, enterprise-scale automation.