Author HubMaximilian Schreiner

Max is managing editor at THE DECODER. As a trained philosopher, he deals with consciousness, AI, and the question of whether machines can really think or just pretend to.
AI research

Study reveals AI models have hidden capabilities they can't access through normal prompts

AI in practice

Tesla unveils Cybercab robot taxi, but robot Optimus is the bigger deal

AI and society
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OpenAI CEO Sam Altman denies rumors of giant equity stake as company considers restructuring

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AI and society
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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.

CNN
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AI in practice
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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
AI in practice
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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.

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AI in practice
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AI tool RFdiffusion, a neural network developed by the University of Washington, can rapidly design custom proteins with potential applications in vaccines, therapeutics, and biomaterials. The tool borrows principles from neural networks that generate realistic images, such as Stable Diffusion, DALL-E, or Midjourney, creating complex and diverse protein shapes when it "denoises" a random assortment of amino acids.

Although the designs show promise in early experimental tests, researchers are still working to improve the AI's ability to design proteins with more complex active sites and specific reactions. RFdiffusion is available on GitHub.

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AI and society

US court ruling backs schools' right to penalize students for AI cheating

AI research

Study reveals AI models have hidden capabilities they can't access through normal prompts

AI research

Scaling laws for precision: AI researcher sees "perfect storm" for the end of scale

Google News