#aiperformancetesting Suchergebnisse

Performance Architect Sudhakar Reddy Narra demonstrates how conventional performance testing tools miss the ways AI agents break under load. - hackernoon.com/why-traditiona… #aiperformancetesting #performancetesting


[11/12] Speed test results: Jamba 1.5 Mini ranks as the fastest model on 10K contexts, according to independent tests by Artificial Analysis. #AIPerformanceTesting


⚡ AI-driven performance testing adapts to real-time data, providing more accurate results. #AIPerformanceTesting" @vtestcorp


This is what real evaluation looks like. No curated demos. No sandboxes. No excuses. AIGM stress-tests reveal exactly where models fail — and why enterprises need governance frameworks before scaling AI. This is the benchmark.

Grok 4.1 is done. Sorry, but not sorry.

thedeepdeed's tweet image. Grok 4.1 is done. Sorry, but not sorry.
thedeepdeed's tweet image. Grok 4.1 is done. Sorry, but not sorry.


amidst all this AI booming, we need to remember this especially as a QA, I have tried it myself, we cannot just blindly trust the code generated by AI all the: framework architectural design testing strategy is very context dependent

adityair19's tweet image. amidst all this AI booming, we need to remember this

especially as a QA, I have tried it myself, we cannot just blindly trust the code generated by AI

all the:

framework
architectural design
testing strategy

is very context dependent

Actually I'm interested how much it can replicate it, I'll try.. hmmm this is concerning (it's not perfect, but one shot result) perl.ge/testing-AI.html


My favorite AI benchmark nowadays is to take a semi-complex bug from the Preact/Signals repository (or an intersection thereof) and ask it to write a failing test. Thus far I haven't been replaced as an OSS maintainer, not even by Gemini 3


If am not mistaken when an actual study was made AI instead of just a survey like this AI dropped performance by around 15% overall but it was completely uneven it depended on who was using and 80% of people dropped by more than half in performance


Really cool benchmark and the best part is - AA will probably test most upcoming models on this benchmark a couple days after their releases Would love to see o3, o4-mini and gpt-4o get tested - it was thought they hallucinated a lot Anthropic flexes on everyone as always

Announcing AA-Omniscience, our new benchmark for knowledge and hallucination across >40 topics, where all but three models are more likely to hallucinate than give a correct answer Embedded knowledge in language models is important for many real world use cases. Without…

ArtificialAnlys's tweet image. Announcing AA-Omniscience, our new benchmark for knowledge and hallucination across >40 topics, where all but three models are more likely to hallucinate than give a correct answer

Embedded knowledge in language models is important for many real world use cases. Without…


Our newest experiment reveals something critical: legitimate capability tests can become powerful jailbreak mechanisms for frontier AI models (#GPT-5, #Claude 4.5, and #Gemini). If you want to understand how easily advanced systems can be steered, manipulated, or…

LumenovaAI's tweet image. Our newest experiment reveals something critical: legitimate capability tests can become powerful jailbreak mechanisms for frontier AI models (#GPT-5, #Claude 4.5, and #Gemini).

If you want to understand how easily advanced systems can be steered, manipulated, or…

Stop patching flaky tests. Start scaling stable ones. See how Visual AI reduces rework and keeps test suites reliable. bit.ly/3IBzyfx #QualityEngineering #AutomationTesting


A Deep Dive into the Role of Quality Assurance in Modern AI Development testing4success.com/t4sblog/who-is…

testing4success's tweet image. A Deep Dive into the Role of Quality Assurance in Modern AI Development

testing4success.com/t4sblog/who-is…

AI's capabilities may be exaggerated by flawed tests, according to new study ... really not surprising... A study from the Oxford Internet Institute analyzed 445 tests used to evaluate #AI models. buff.ly/qaf70EI via @nbcnews #GenAI Cc @floriansemle @terence_mills

ipfconline1's tweet image. AI's capabilities may be exaggerated by flawed tests, according to new study

... really not surprising...

A study from the Oxford Internet Institute analyzed 445 tests used to evaluate #AI models. 

buff.ly/qaf70EI via  @nbcnews 
#GenAI
Cc @floriansemle @terence_mills…

Just tried an AI agent test another AI agent's work. Here's what went wrong: 1. Shared blind spots - both agents thought the same 2. Over-eng - went for "comprehensive" b4 validat basics 3. Env assumptions - tests didn't match reality 4. Debugging loops - fix one, break another


Performance Architect Sudhakar Reddy Narra demonstrates how conventional performance testing tools miss the ways AI agents break under load. - hackernoon.com/why-traditiona… #aiperformancetesting #performancetesting


#News #Technology #AI: AI benchmarks under fire - A recent study highlights serious shortcomings in the security testing of artificial intelligences, pointing out that these flaws could compromise the reliability and safety of large-scale automated syst… ift.tt/KgR2Xh4


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