Why does AI lie? ... OpenAI cracks the code

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OPENAI CRACKS THE CODE OF AI HALLUCINATIONS 👁️

What’s new? OpenAI has released a new research paper arguing that AI “hallucinations”—when a model confidently generates false information—persist because current training and evaluation methods reward guessing over admitting uncertainty.

Want the details? Hallucinations happen when AI models, trained to predict the next word in a sentence, produce plausible but incorrect answers. Current evaluations measure success mainly by accuracy, meaning a model that guesses has a chance of scoring higher than one that honestly says, “I don’t know.” For example, if asked someone’s birthday, a model that guesses may get lucky, while a cautious model gets penalized for abstaining. This creates a scoreboard system that encourages confident errors instead of careful honesty.

Why should you care? Reducing hallucinations is critical for making AI more trustworthy. If evaluations are redesigned to reward humility and penalize confident errors, AI systems like ChatGPT could provide more reliable answers, boosting user trust and safety in real-world applications.

PARALYZED PATIENTS CONTROL ROBOTS WITH AI 🤯

What’s new? UCLA engineers have developed a wearable, noninvasive brain-computer interface (BCI) that uses AI to help people control a robotic arm or computer cursor.

How does it work? The system reads brain activity through an EEG cap, which records the brain’s electrical signals. Custom algorithms decode those signals to figure out what movement the user intends. At the same time, an AI system with a built-in camera interprets the user’s goal and assists in completing the task—whether moving a cursor across a screen or guiding a robotic arm to pick up and place objects.

Why does this matter? Current high-performing BCIs require brain surgery, which comes with serious risks. UCLA’s wearable approach could open the door to safer, more accessible technologies that restore independence for people with paralysis, ALS, or other movement disorders.

ELI LILLY LAUNCHES NEW AI PLATFORM FOR DRUG DISCOVERY 💊

What’s new? Pharmaceutical company Eli Lilly has launched TuneLab, an AI platform for drug discovery.

Want the details? This platform was developed to help biotech companies speed up the search for new medicines. Built on more than $1 billion of Lilly’s research data, the platform gives smaller firms access to the same advanced models Lilly’s own scientists use. Over time, the system will improve by pooling training data from participating companies, and Lilly plans to expand its features with tools for predicting how new molecules behave in living systems.

Why is this important? Drug development is notoriously expensive, slow, and uncertain. By sharing cutting-edge AI models, Lilly is lowering barriers for smaller players in the biotech space—companies that often have promising ideas but limited resources. If successful, TuneLab could lead to faster, more affordable breakthroughs in medicine, benefiting not just the industry but also the patients who urgently need new treatments.

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