AI & Machine Learning - Antoine Buteau (Page 15)

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Research Explainers Agentic AI Turns Work Into Delegation

OpenAI's Codex usage data suggests the agentic shift is less about better chat answers and more about delegating longer, reusable, parallel workflows.

Profile Lessons from Cecilia Ziniti

Lessons from Cecilia Ziniti Cecilia Ziniti is the founder and CEO of GC AI and a three time General Counsel for tech companies including Amazon Alexa...

Profile Lessons from Jonathan Ragan-Kelley

Lessons from Jonathan Ragan Kelley Jonathan Ragan Kelley is an MIT computer scientist who builds compilers and domain specific languages for high...

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Move sideways by problem area.

Research Explainers May 31, 2026 7 min read

Prompt Engineering Wants to Become Compilation

DSPy argues that language model systems should be written as modular programs and optimized by compilers, not assembled from fragile hand-written prompt strings.

Research Explainers May 30, 2026 6 min read

AI May Give Star Employees More Bargaining Power

This paper argues that generative AI may not flatten performance differences in knowledge work. It may widen them, especially when star employees have the judgment, autonomy, and reputation to turn AI into portable bargaining power.

Research Explainers May 30, 2026 7 min read

Compute Is Not a Commodity

This paper argues that AI compute is not a simple commodity input. Chip architecture, energy use, software, training workloads, inference workloads, and policy all change what one more unit of compute really means.

Research Explainers May 30, 2026 5 min read

AI Costs Need a Control Plane

This SSRN preprint argues that enterprise AI cost management needs its own operating model because generative AI spend is driven by usage, ownership, governance, and workflow design.

Research Explainers May 30, 2026 8 min read

The CEO Sets the AI Operating Model

A Strategy & Leadership paper argues that CEOs lead AI transformation through generalist, expert, or disruptive operating models, each with different risks.

Research Explainers May 30, 2026 9 min read

Context Engineering Is the New Systems Layer

A broad survey argues that the hard part of useful AI systems is no longer prompt wording. It is deciding what information reaches the model, when, and under what constraints.

Research Explainers May 30, 2026 10 min read

Agents Are Reasoning Loops, Not Smart Prompts

A broad survey argues that agentic AI is best understood as reasoning through action: planning, tool use, search, memory, feedback, and coordination across time.

Research Explainers May 30, 2026 10 min read

Agent Skills Need a Trust Layer

A new survey argues that agent skills are becoming the packaging layer for procedural AI work. That makes governance, permissions, and verification unavoidable.

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