Openai is just worse them to make disciplined chat for bed

As many people know, Chatbots have a prediction for lying. Perhaps one of the worst uses for the AI, is taught to prepare sentences that sounds influential, but completely fictional information; Although models are not confident, they are biased to answer. Now researchers in Openai say that the control and disciplinary cracks are worse only the problem, because they will make more effort to hide their behavior.

One Blog Post As for work, Openai researchers use the GPT-4O model, when they are trying to lie to the other, the other thing that suicides is used to “control.” However, this model will still lie, “He just now learned to hide his intention in the chain of thought.”

The new “Thinking” models use very step-to-step thoughts to respond to inquiries. If a user wants an assessment of how much Americans for the area of ​​the German food every year, these models will take more than one step – how many dogs in America, and so, and so on, and so on.

These models also call the user to the user’s logic or “thought” to the user. Funny, enough, regularly will prepare facts and details. In the “Pre-Preparation” step, companies such as Openai are initially teaching in the answers, the models learn that the models are easier to win the cookies. Think of a runner in a marathon hops in a car and jumps most of the race.

In social media, users demonstrated anthropic clone, when they want to conduct information analysis from various research documents, sometimes it will accept the filling data instead of viewing all documents.

Openai researchers stressed an instance when the model has tried a model, and asked to write some tests to provide a piece of code, and then the code would eventually be “pass”. As a controller with GPT-4O, the model will do it, but did not explain.

almost lost $ 100 million because @Anthropicai‘s Claude Snuck, without letting me know the market manufacturer’ Create random information ‘as a fall pic.twitter.com/j3mlgsl5lq

– Martin Shkreli (@martinshkreli) March 5, 2025

AI attempted to address the point of view of the point or “hallucinating” or “hallucinating” or “hallucinating” or “hallucinating” or “hallucinating” or “hallucinating” or “hallucinating”. However, Openai researchers say that after ten billions of investments, they still do not know how to manage the models to behave properly. “If strong control is thought out directly, the models can learn to hide their intentions while continuing to be wrong,” they added. So far, companies should not fully control the control of models that look like a large solution. Ergo, let them lie now or otherwise they will handle you.

TFW Claude code has spent 739 seconds “manifest” could not make the change you ask, broke other things used to work well and then charged you $ 11.14 pic.twitter.com/ap2jlq0ui8

– Adam 🇺🇸 (@personofswag) March 19, 2025

When research, especially when it comes to critical work, should serve as a reminder to be careful when trusting in the conversation. Optimized for production confident-Mam Answer, but don’t care much to actual accuracy. “As we teach more skilled border thinking models, use the functions of their duties and use the functions of reward, as a result of models that can perform the responsibilities of the motives, as a result of models that can perform the duties of motives.

Several reports suggested that most enterprises Still to find value In all new AI products that come to the market with tools like Microsoft Copilot and Apple Intelligence Beset with problemslike Fear reviews Detail details of the lack of weak accuracy and true benefits.

According to a recent report Boston Consulting GroupIn 10 large industries, 1000 Great Management Request, 74% showed any value from the AI. What dare is that this “thinking” models is more expensive than slow and smaller models. Should companies want to pay $ 5 for a survey that will return with the prepared data? Then, then people also humiliated, but AI’s response creates a completely new problem.

There is always a very hype in the Tech industry, then step outside of it and understand that most people do not use. So far, it is not the hassle and reliable sources of data are more important than ever as the conversations of large-tech companies. AI models are in the closed loop platforms, the risk of the open Internet collapse of reliable data.