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Maximilian Schreiner

Max is the managing editor of THE DECODER, bringing his background in philosophy to explore questions of consciousness and whether machines truly think or just pretend to.
Read full article about: As AI safety concerns mount, OpenAI’s trust and safety head steps down

Dave Willner, head of trust and safety at OpenAI, has transitioned to an advisory role after a year and a half in the position. Willner, who previously led trust and safety teams at Facebook and Airbnb, played a significant part in discussions surrounding regulation and responsibility in the AI world after the launch of ChatGPT.

"Anyone with young children and a super intense job can relate to that tension, I think, and these past few months have really crystallized for me that I was going to have to prioritize one or the other," he said in a LinkedIn post.

His departure occurs at a critical time for AI, as OpenAI's president Greg Brockman is meeting with the White House alongside executives from major tech companies to discuss shared safety and transparency goals.

Read full article about: British stores turn to AI facial recognition against rising shoplifting rates

Surveillance company Facewatch is experiencing "exponential" demand for its AI-powered facial recognition system to identify repeat shoplifters, founder Simon Gordon said. The system works by having a store manager review security camera footage after an item is stolen, logging the thief's image into Facewatch's system for future alerts.

Critics say this technology infringes on privacy rights and often makes mistakes. But according to Gordon, the system currently has a 99.85% accuracy rate and data is only stored for two weeks, half the time of traditional security camera footage, reports CNN.

Comment Source: CNN
Read full article about: Google's MatCha is a foundation model for understanding charts

Google's MatCha is a foundation model trained for both chart de-rendering and mathematical reasoning. Chart de-rendering explores the reverse engineering of charts, plots, or graphics to reveal their underlying data table or code, while math reasoning seeks to solve question-based problems on textual mathematical datasets. By combining these tasks, MatCha significantly outperforms existing models for visual language understanding of charts. The researchers also proposed DePlot, a model built on top of MatCha for improved reasoning on charts through translation to tables.

Bild: ChartQA
Read full article about: OpenAI: "No, we haven't made GPT-4 dumber"

Is GPT-4 getting worse? Peter Welinder, VP Product at OpenAI, comments on the rumors: "No, we haven't made GPT-4 dumber. Quite the opposite: we make each new version smarter than the previous one," says Welinder. His hypothesis: "When you use it more heavily, you start noticing issues you didn't see before."

Still, he asked on Twitter for examples of where users felt GPT-4's performance had regressed. OpenAI will look into this, Welinder promises. One example from the comments, where GPT-4 only gives the correct answer after a second attempt, he claims is a bug.

Field reports of GPT-4 performance degradation have been around for a few weeks now, often pointing to a performance difference between access via API and via ChatGPT, where the OpenAI language model integration is regularly adjusted. The opacity of this process may also contribute to uncertainty among users.