BRICS AI Economics

BRICS AI Economics

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Jul, 15 2026

Prompt Injection Risks in Large Language Models: Attacks and Defenses

Emily Fies
0
Explore prompt injection risks in LLMs, including attack vectors like DAN jailbreaks and stored injections. Learn proven defense strategies such as context partitioning and input filtering to secure your AI applications.
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Jul, 14 2026

Transformer Efficiency Tricks: Mastering KV Caching and Continuous Batching for LLM Serving

Emily Fies
1
Master LLM serving efficiency with KV caching and continuous batching. Learn how to reduce latency, optimize GPU memory, and boost throughput in 2026.
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Jul, 13 2026

Observability for LLM Inference: Token Metrics, Queues, and Tail Latency

Emily Fies
1
Master LLM inference observability by tracking token metrics, queue dynamics, and tail latency. Learn why RPS fails and how to optimize TTFT and throughput for production stability.
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Jul, 12 2026

Safety by Design in Generative AI: Embedding Protections into Product Architecture

Emily Fies
0
Discover how Safety by Design embeds protections into generative AI architecture. Learn about Thorn's framework, NIST standards, and the shift from reactive moderation to proactive engineering.
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Jul, 11 2026

Portfolio Management for Generative AI: Prioritization, Resourcing, and ROI

Emily Fies
3
Learn how to prioritize and resource generative AI projects for maximum ROI. Explore tiered models, scoring matrices, and resourcing strategies used by top financial firms in 2026.
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Jul, 10 2026

ROI Modeling for Vibe Coding: Calculating Cost, Speed, and Quality Gains in 2026

Emily Fies
0
Calculate the true ROI of vibe coding in 2026. We break down cost savings, speed gains, and hidden technical debt risks to help you decide if AI-assisted development is right for your team.
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Jul, 9 2026

How AI High Performers Capture Value from Generative AI: Workflow Redesign and Scaling

Emily Fies
4
Discover why 95% of AI pilots fail and how the top 5% capture real value through workflow redesign, RAG integration, and strategic scaling.
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Jul, 8 2026

Cost-Quality Frontiers: Selecting the Best Large Language Model for ROI in 2026

Emily Fies
0
Discover how to maximize ROI in 2026 by navigating the cost-quality frontier. Compare value-tier LLMs like GPT-5 Mini and Grok 4 Fast, learn portfolio strategies, and avoid common pitfalls.
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Jul, 7 2026

Service Level Objectives for Maintainability: Indicators and Alerts

Emily Fies
7
Learn how to implement Service Level Objectives for maintainability. Discover key indicators like MTTR and deployment frequency, set realistic error budgets, and configure alerts that boost engineering velocity without sacrificing reliability.
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Jul, 6 2026

Measuring Maintainability: Cognitive Complexity and Coupling Metrics

Emily Fies
5
Learn how to measure software maintainability using Cognitive Complexity and coupling metrics. Discover how to balance code readability with dependency management to reduce technical debt.
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Jul, 5 2026

From Autocomplete to Autonomy: Why Vibe Coding Is a Paradigm Shift

Emily Fies
7
Explore how vibe coding transforms software development from manual typing to AI-driven autonomy. Learn the benefits, risks, and practical steps to adopt this new paradigm.
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Jul, 4 2026

MMLU for Large Language Models: What It Measures and What It Misses

Emily Fies
6
Explore what the MMLU benchmark actually measures for large language models and why its high scores are becoming misleading. Learn about data contamination, saturation, and how successors like MMLU-Pro offer better insights into AI reasoning capabilities in 2026.

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