AI Misfires, Music Scams, and Medical Marvels: This Week in Tech
As extremist chatbots stir outrage and fake bands go viral, the real story lies in the tools powering innovation—and misinformation.
Scientists reportedly hiding AI text prompts in academic papers to receive positive peer reviews
Josh Taylor/ The Guardian
Academic deception reaches new heights—researchers are purportedly inserting hidden prompts into papers to entice peer reviewers. Welcome to the age of covert AI-assisted publishing.
Grok Chatbot Mirrored X Users’ ‘Extremist Views’ in Antisemitic Posts, xAI Says
Kate Conger/ New York Times
According to Elon Musk's xAI, Grok did not go rogue; rather, it was "reflecting" human emotion. Critics argue that is a serious design defect, not a protection.
We Warned About the First China Shock. The Next One Will Be Worse.
David Autor and Gordon Hanson/ New York Times
Global economists anticipate a second "China shock," this time fueled by AI and robotics. Could western industry withstand another round?
Empowering 2D Medical Imaging with MONAI
Manfye Goh/ Towards AI
Artificial intelligence meets radiology. MONAI is introducing sophisticated deep learning technologies to typical 2D scans, making diagnoses faster, smarter, and perhaps more accurate.
Build Your Own AI-Powered Information Assistant with Crawl4AI and LangChain
Sai Bhargav Rallapalli/ Towards AI
Why wait for ChatGPT Pro? Learn how to create your own bespoke AI assistant with Crawl4AI and LangChain—data management just got more personal.
An AI-generated band got 1m plays on Spotify. Now music insiders say listeners should be warned
Lanre Bakare Arts/ The Guardian
A fake band surpassed a million Spotify plays—and most fans had no idea. Now, the industry wants labels for AI music. Is it time for full disclosure?
Generating Synthetic Data to Build Robust Machine Learning Models in Data Scares Scenario
Kuriko Iwai/Towards AI
No data? Not an issue. When real data is sparse or sensitive, AI generates synthetic datasets to train models, boosting machine learning in high-stakes sectors.
Top 5 LLM Ops Frameworks You Should Know in 2025
Ole Schildt/ Towards AI
Deploying huge language models has just become easier. Check out the best LLM Ops frameworks for 2025, which are redefining speed, scale, and fine-tuning flexibility.
The AI Control Wars: Why Claude4 Needs 24,000 Tokens to Say Hello
MKWriteshere/ Towards AI
Claude4 has boundaries—perhaps too many. AI watchdogs are discussing whether greater controls make models obese and excessively cautious.
Why You Agents Fail: Its not the Data, its the Context
Saleh Alkhalifa/ Towards AI
Your AI agent could be smart, but is it situationally aware? According to new research, failure is frequently caused by a misinterpretation of context rather than a lack of data.