Dwarkesh Patel’s “AI Firm” is central planning with GPUs. Why you can’t copy judgment — and what that means for AI trading.
RocketEdge’s Insights
Google Says “Generation Is Solved.” We Ship Production Code Into Trading Systems. It Isn’t.
Google’s New SDLC With Vibe Coding paper nails “Agent = Model + Harness” but buries security, maintainability, and a verified 19% developer slowdown — and fails its own verification standard. Our production critique plus the reproducible harness playbook the paper left out.
The Mythos Ban Is a Medieval Mistake: Why Recalling a Frontier Model Backfires
The US ordered Anthropic to suspend Fable 5 and Mythos 5. Banning the model misses where capability actually lives — the harness, context, and open weights.
FinOps Is Not a Discipline. It’s Software Architecture With the Price Tag Left On
Cloud cost is emitted by every architecture decision. Why FinOps belongs in engineering — and why the Foundation is a marketing body.
Compute Is Cheap, Judgement Is Scarce: Why the Next Decade of Hedge Fund Hiring Looks Nothing Like the AI Doomers Predict
WEF says +78M net new jobs by 2030. China’s courts have rejected “AI” as a layoff defence. Tyler Cowen’s seven principles, translated for hedge funds, quants, and the next decade of buy-side hiring.
Agentic Trading in 2026: Why Static Algos Are Dead Alpha
The 2024 LLM trading edge is gone. In 2026 the only moat is the adaptation loop. Here’s the evidence, the diagrams and the roadmap.
Anthropic Mythos — What It Means for Your Security, Your Markets, and Your Workflows
Anthropic’s Mythos model autonomously exploits zero-days across every major OS. Here’s what it means for finance and 20 practices to secure your workflows.
Excel Copilot Built Me a Trading Strategy in 90 Seconds — Here’s Why That’s the Most Dangerous Demo in Finance
We asked Excel Copilot to backtest a VTI strategy. It delivered Sharpe 0.67 in 90 seconds. Here’s why deploying it would be reckless.
Your AI Agent Bill Is 30x Higher Than It Needs to Be: The 6-Tier Fix
AI agents ran up $47K–$1.2M in costs with no alerts. The fix: route each task to the right LLM tier. Here’s the 6-tier architecture with prompts and benchmarks.
The SaaSpocalypse Is Overhyped — Why AI Agents Won’t Replace Adobe, Slack, or Atlassian
OpenAI told investors its agents will replace Adobe, Slack, and Atlassian. Here’s why that’s wishful thinking — and what actually works for AI in finance.
Vibe Coding for CTOs: The Real Cost of 100 Lines of Code—AI Agents vs Human Developers (Without Losing Control)
AI coding agents change the economics of software. This post explains what 100 lines really cost, why “repo verifiability” matters, and how CTOs scale speed safely.
Ahead of the Curve 2026 & Beyond: Innovative Transformation for Future-Ready Business
Recap of SICC’s “Ahead of the Curve 2026 & Beyond” webinar: outcome-driven AI transformation, change management, human-centric governance, and future-ready culture.
RocketEdge x Microsoft ISV Success: Building the next decade of fintech—now
RocketEdge joins Microsoft ISV Success to accelerate fintech on Azure—faster time-to-insight, enterprise-grade trust, and marketplace distribution for AI-driven finance.
How to Get a Refund for AWS’s Oct 20, 2025 Outage – A Cloud Architect’s Advice
How to claim AWS service credits after the Oct 20, 2025 US-EAST-1 outage: SLA credit tiers, claim steps via AWS Support, and resilience tips (multi-cloud/Azure).
Turbocharging Finance Data Pipelines in Python: Why Polars + Joblib (and VS Code) Should Be Your New Default
Turbocharge Python finance pipelines by defaulting to Polars + joblib + VS Code: why Polars beats pandas, the “no implicit index” migration gotcha, benchmarked examples, and a battle-tested transition playbook
Think Smart, Prompt Smarter – Full‑Day Executive AI Course Recap
Recap of RocketEdge’s full-day “Think Smart, Prompt Smarter” executive AI course: small-cohort bootcamp on advanced prompting, realistic business tasks, and key reflections.
Think Smart, Prompt Smarter – Masterclass Session 1 Recap (August 1, 2025)
Recap of “Think Smart, Prompt Smarter” Session 1 (Aug 1, 2025) in Singapore: AI mindset and mental models, prompt engineering techniques, tool demos (ChatGPT/Perplexity/Copilot), guest ecosystem insights, slides and photos.
Think Smart, Prompt Smarter – Exclusive AI Masterclass for Modern Executives
Exclusive executive AI masterclass (with SICC, IMDA & NAIHE): cut through hype, learn practical prompt engineering and AI tools in a 2-part, hands-on course (20 seats).
Why Microsoft Azure Shines as a 5-Star Cloud (While AWS Lags at 3 Stars)
Why Azure is a “5-star” cloud vs AWS at “3 stars”: productivity-first design, smoother workflows, better cost visibility, and higher trust—especially for finance teams.
Azure in 2025: A Top Choice for Finance Startups
Why Azure is a top cloud choice for finance startups in 2025: productivity-first tooling, integrated AI/ML, generous startup credits, cheaper spot instances, plus when to keep AWS and where GCP lags.
Accelerating Financial Modeling Calculations in the Cloud: Architecture, Costs, and Performance
Optimize large-scale financial modeling in the cloud: when CPU farms with spot instances beat GPUs/FPGA, when GPUs shine (Monte Carlo, linear algebra), and how to balance cost, speed, and maintainability.
Challenging AWS’s Claim: Do Promotional Credits Truly Lack Intrinsic Value?
Do AWS promotional credits really have “no intrinsic value”? A critique of AWS terms arguing credits function like currency, affect economics/accounting, and raise trust and legal questions.
Unmasking Modern FinOps Myths: How to Truly Optimize Cloud Costs
Five modern FinOps myths—why architecture drives cost, vendor frameworks can mislead, human time matters, cloud “price” isn’t comparable, and value beats pure cost-cutting.