hgabe796
4.3K posts


🏆 FIFA World Cup 2026 will be the biggest World Cup ever!
48 teams.104 matches.3 host nations.16 stadiums.
Here's a look at every stadium that will host football's biggest event. 👇
#WorldCup2026
A thread 🧵



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@vikturino @LouieDi13 yo, can you dm me? i cant text you for some reason
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@LouieDi13 Business can go both ways i.e profit or loss but savings guarantees one sure access to cash ...
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@rio_gregory @trvisXX @LaflameScott @ftpflame @rayscorruptedxx yo, can you dm me? i cant text you for some reason
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Why OpenAI is leading in defending against prompt injections & social engineering, even beating Anthropic?
They spent almost ~$100M just for LLM evaluation & red-teaming.
Here’s the simplest yet most powerful formula I summarized from it. You can apply it to any AI project right away:
PROMPT =
P: Providers
Different models have different strengths. Don’t use the same LLM for everything. Route tasks to the best provider (e.g. one excels at UI, another at algorithms) → better output, lower cost.
R: Rubrics & Assertions
Define clear scoring criteria. Use LLM-as-Judge with rubrics instead of vague human feelings. This decides 80-90% of output quality.
O: Output Transforms
Clean the mess first: remove CoT thinking, extract JSON, normalize format. Critical for RAG & agents.
M: Multiple Test Cases
Real quality needs unit tests. Run matrix: Prompts × Providers × Test Cases.
P: Prompt Templates
Use dynamic templates (Nunjucks/Jinja2) with variables, conditionals, and loops - reusable & version-controlled.
T: Testing + Red Teaming
Continuous matrix testing + automated adversarial attacks to catch edge cases and vulnerabilities before production.
➜ This framework turns “prompt guessing” into measurable AI engineering.

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