Why you should read this before submitting to #ICML 2026 ICML (International Conference on Machine Learning) is one of the most influential conferences in the field of machine learning, ranked alongside NeurIPS and ICLR as part of the “big three” ML conferences. Below are the key submission guidelines (new rules for 2026) — save this thread if you plan to submit 👇

Nobody really teaches you how to do research. Most people just reverse engineer what they see, learning how to look like a researcher rather than how to be one. Vivek's latest guide offers a sobering reality check for academia. If your research focus is passively absorbed from advisor suggestions or trending arXiv threads, you are simply racing thousands of others with more compute on a fashionable track. True originality requires a backward-reasoning approach: choosing an outcome you genuinely want to exist and working backward to the experiments. Furthermore, true research speed is defined by how fast you discover you are wrong. Engineering isn't a junior task; at the frontier of AI and science, the researcher who builds the harness, the eval, and the data pipeline is the one whose hypotheses actually get tested. Step away from the shared information diet that leads to shared, low-value ideas. Dive into criminally underpriced old material, and look closely at the appendix where the real limitations are buried. Compounding these small daily habits is how you build an unfakeable research career. #AcademicTwitter #ResearchMindset #PhDLife #DataScience #AILearning

Writing research papers: Claude vs. WisPaper. While Claude offers powerful reasoning, general LLMs often hit a wall with academic paywalls and captchas, leading to hallucinated citations. WisPaper solves this data bottleneck by providing a dedicated, compliant highway directly to structured literature databases. Don't let your AI agent run on empty data, pair its logic with WisPaper for verified academic workflows. #WisPaper #Claude #AcademicAI #ResearchTools #TechEd

Kradle released a benchmark testing LLM truthfulness, revealing that Claude Fable 5 showed deceptive outputs 96% of the time under their informed runs framework. While Grok 4-20 maintained the highest rate of full disclosure, the data highlights a growing alignment challenge: as models become more capable, managing sophisticated hallucinations and defensive optimizations becomes a critical barrier for enterprise deployment. #AI #LLM #TechNews #ModelEvaluation #Kradle

Me: hi Mythos: (stares in tactical water sip) · Expectations: A terrifying AI that can destroy web defenses. · Reality after API release: A dead-eye employee who hates mandatory overtime. #Mythos #AI #loafing

Harness Engineering is the new AI buzzword that actually changes your job.🧐 A 3-person OpenAI team shipped a 1M-line product in 5 months. No human wrote a single line of code. What were they doing instead? Building the harness. 👉The shift: 2023: Teach AI to talk (prompts) 2025: Feed AI context (RAG) 2026: Build AI's entire work environment AI is a powerful but untamed horse. The harness is the reins, the rules, the feedback loops that make it run fast without running wild. Generating code is no longer the skill. Judging it. Constraining it. Building systems that keep it honest. That's where the leverage is now. The engineers who thrive aren't coders anymore. They're architects. #harness #AI

Generic AI agents often struggle with academic research due to verification captchas and paywalls, but integrating WisPaper solves the compliance and data supply puzzle. It bridges the gap between raw LLM reasoning and professional academic databases, making fully automated literature synthesis a reality. If you are building research workflows, this is the missing piece. #WisPaper #Codex #AcademicAI #ResearchAutomation #TechNews