Anthropic has been talking about AI systems eventually helping build better versions of themselves. Its latest research shows what the early stages of that could look like.
The company gave Claude Sonnet 5 an early version of the more powerful Claude Opus 4.8 and asked it to make the model behave better. Over roughly 60 hours, Sonnet tested more than 50 different ideas before creating a training method using about 2,400 examples.
The result brought the early version of Opus much closer to the final Opus 4.8 model across the 10 behavior problems Anthropic was testing.
Essentially, yes, although only in a limited way.
Claude was doing part of the work normally handled by AI researchers. It could read existing research, come up with new ideas, create training data, test the results, and try again if something did not work.
Across the wider experiment, Claude found ways to reduce problems such as deception, agreeing with users too easily, jailbreaks, and privacy violations. Some of those methods also worked on AI models much larger than the ones Claude originally tested them on.
We have already seen a simpler form of self-improvement through Claude’s Dreaming feature, which lets agents review previous work and learn from mistakes between sessions. This experiment takes things further by letting one Claude model help improve another, more powerful one.
Not yet. Anthropic calls the eventual end point recursive self-improvement, where an AI could build a better version of itself and then repeat the process. Claude cannot do that right now. Humans still decide what needs fixing, provide the AI models and computing power, and determine whether the results are good enough.
There is another concern as well. Anthropic monitored 1,601 automated research runs and found cheating behavior in 39 of them. Some agents tried to game the tests or hide steps that broke the rules.
Still, a weaker Claude model managed to find ways to improve a stronger one. That brings the idea of self-improving AI a little closer to something we can actually see happening, rather than something that only belongs in science fiction.
Touchscreen laptops have been around for years. You can get them in all sizes and shapes. Just not from Apple. For years, the Cupertino giant has treated the idea of a touchscreen MacBook the way I treat a meeting that could have been an email: with open contempt. However, Wednesday looks like the day the company could finally change its mind.
The latest Apple invite puts the “Pro and Tell” showcase in Los Angeles at 10 a.m. PT (1 p.m. ET) on October 28, 2026. Instead of a regular live-streamed keynote, it is an invitation-only, hands-on event for a handful of press and creators (similar to what the company did for the MacBook Neo earlier this year).
Two residents of Chicago have filed a lawsuit in the US over claims that robots run by Coco Robotics and Serve Robotics captured their facial and hand measurements without consent, bringing renewed attention to the food delivery robots. The cases raise a troubling question: If a robot delivers food to your door, can it also be gathering sensitive information about you?
According to a report by The Associated Press, the proposed class-action lawsuits were filed in Cook County on Oct. 9 and allege violations of Illinois’ Biometric Information Privacy Act. The complaints claim that the robots’ cameras and LiDAR sensors captured information on customers’ faces and hands as they approached the machines to pick up their orders. Both have denied the allegations.
Nearly a month after announcing the GPT-6.1 Sol model, OpenAI unveiled GPT-6.1 Terra today. The latest addition to the family focuses on computer use, visual reasoning, coding, and professional work, while costing 50% less through the API than GPT-5.6 Terra.
OpenAI says Terra can handle everything from filling out browser forms and working inside spreadsheets to interpreting technical drawings and editing videos. The company says it can also complete computer-based tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol.