Weekly Dose #4 - From Smarter Models to Safer Systems
The Weekly Dose #4 highlights five pivotal AI/ML developments from May 21‑28, 2026. Anthropic unveiled Claude Opus 4.8 with built‑in uncertainty signalling, effort controls, and dynamic sub‑agent orchestration, backed by a reported $65 bn funding round and a near‑$965 bn valuation. Snowflake announced a $6 bn, five‑year AWS commitment to run agentic workloads on Graviton CPUs, emphasizing governed data as the core of the AI stack. Open‑weight models face rapid guardrail removal via tools like Heretic, while the Megalodon campaign infected over 5,500 GitHub repos, stealing CI/CD credentials through compromised npm packages. Finally, new research shows that resampling, not simple retrying, can boost agent safety scores by up to ten percentage points.
Weekly Dose #2 - The AI Race Moved From Models to Deployment
OpenAI announced a $4 billion‑backed OpenAI Deployment Company, acquiring consulting firm Tomoro to deliver end‑to‑end enterprise AI implementations. Anthropic expanded Claude with legal‑focused tools and a Small‑Business package, turning the model into pre‑wired vertical workflows. OpenAI and Anthropic shifted coding‑agent competition...
Extra #10 - The Regression Playbook Part 2 (Code)
The post continues the Regression Playbook series by examining four advanced regression techniques—neural network regression, XGBoost, support vector regression, and polynomial regression—using the same noisy wave dataset from Part 1. It highlights each method’s expressive power and the tuning challenges they...
Extra #9 - The Regression Playbook Part 1 (Code)
The blog post launches Part 1 of a five‑part Regression Playbook, demonstrating how to build, train, and visualize five core regression techniques using Python’s scikit‑learn library. It walks through Linear Regression, Stochastic Regression, Decision Tree Regression, Random Forest Regression, and k‑Nearest...
Extra #5 - Real-World Scenarios Where RNNs Still Beat Transformers
While Transformers dominate cloud‑based NLP and generative AI, the blog post highlights that Recurrent Neural Networks remain competitive in specific 2026 use cases. RNNs’ sequential processing offers a lower memory footprint and deterministic latency, making them ideal for edge and...
Extra #4 - Beyond “Vibe Coding”: Evolution of AI Development
The post argues that AI‑assisted programming is moving beyond ad‑hoc "vibe coding" toward a disciplined Spec‑Driven Development (SDD) model. It explains how messy prompts cause LLM hallucinations and introduces three SDD tiers, culminating in "Spec as Source" where requirements drive...
Extra #3 - The Prompt Injection Defense Playbook
The post outlines a premium playbook for defending Large Language Models against prompt injection, a semantic attack that tricks AI into violating its own constraints. It categorizes three primary attack vectors—role‑playing jailbreaks, hidden‑text payloads, and direct overrides—and proposes a multi‑layered...