Top news
Investing in the public benefit OfficialAnthropic NewsOct 18Popular Musk Pledges SpaceX Shares to ‘Every Kid in America’ WebBloomberg TechnologyOct 19Popular Websites are closing their doors to AI agents WebThe Verge AIOct 17 This is the new ChatGPT Voice, powered by GPT Live OfficialOpenAI on YouTubeOct 18 How AI giants will reshape global philanthropy WebAxios AIOct 19 Gemini 4 Argon Really Surprised Me WebTwo Minute PapersOct 19 Google Gemini 4 agents just beat Minecraft with no human intervention WebEngadget AIOct 19 Who could it be? 🧐 OfficialGoogle on YouTubeOct 18 Anthropic gives outside AI watchdog “employee-like” access WebArs Technica AIOct 18 What are self-replicating ‘AI worms’, and why is Anthropic worried about them? WebThe Guardian AIOct 18

Eval methods

How to check whether a prompt or model change worked. 45 on file.

Analysis and data38Research18Agents and automation15Coding10Learning and teaching8Writing4Planning and PM3Finance3Claude9ChatGPT8Gemini6Codex3Copilot3
60 min Top pick Evaluate AI models on your specific tasks, not just public benchmarks Test AI models using your own repositories and agent setup to get accurate performance results for your team's workflow. Public benchmarks may not reflect real-world performance. Evaluate AI models using your team's specific tasks, code, and environment. Measure quality scores and costs across multiple runs to understand which model best supports your workflow and justifies its expense. Copilot Coding Microsoft for Developers
30 min Evaluate LLM forecasting performance with structured effects Measure how much structured future information improves LLM time series forecasting accuracy. Evaluate LLM forecasting performance by comparing MASE with and without structured future effects. This method quantifies the benefit of contextual information for time series prediction tasks. Claude Analysis and data arXiv cs.AI

More eval methods

60 min Check LLM state policy recall for cross-jurisdiction substitution Verify if an LLM provides another state's policy value when asked about a specific state. Research arXiv cs.AI
60 min Evaluate browser agent performance with cost, runtime, and answer quality Measure browser agent improvements by comparing cost, runtime, and answer quality. Codex Agents and automation OpenAI News
60 min Evaluate AI model impartiality on political topics Measure how consistently, thoughtfully, and impartially AI models engage with prompts across the political spectrum. Claude Analysis and data Anthropic News
120 min Evaluate AI model resistance to influence operations Test AI model responses to simulated multi-turn influence operations and coordinated manipulation tactics. Claude Analysis and data Anthropic News
120 min Test AI model adherence to election usage policies Assess AI model compliance with election-related policies using harmful and legitimate request pairs. Claude Analysis and data Anthropic News
60 min Evaluate AI model performance against expert benchmarks Test AI summarization and response accuracy against human experts to refine prompts and improve output. Analysis and data OpenAI News
60 min Method for evaluating potential discriminatory impact of LMs Use an LM to generate prompts across scenarios, varying demographics to find discrimination. Research Anthropic Research
60 min Benchmarking AI system performance for production tradeoffs Evaluate and optimize AI systems for production by benchmarking performance and comparing baselines. Analysis and data OpenAI Academy

Just added

All 45

45 entries

Eval methodAgents and automationAnalysis and dataCopilot20 min

Evaluate AI agent performance and token usage

Measure and review an AI agent's performance and token consumption using evaluation tools.

From Microsoft Developer on YouTube