We consider the problem of recovering a mental target (e.g., an image of a face) that a participant has in mind from paired EEG (i.e., brain responses) and image (i.e., perceived faces) data collected during interactive sessions without access to labeled information. The problem has been previously explored with labeled data but not via self-calibration, where labeled data is unavailable. Here, we present the first framework and an algorithm, CURSOR, that learns to recover unknown mental targets without access to labeled data or pre-trained decoders. Our experiments on naturalistic images of faces demonstrate that CURSOR can (1) predict image similarity scores that correlate with human perceptual judgments without any label information, (2) use these scores to rank stimuli against an unknown mental target, and (3) generate new stimuli indistinguishable from the unknown mental target (validated via a user study, N = 53). We release the brain response data set (N = 29), associated face images used as stimuli data, and a codebase to initiate further research on this novel task.

SpaceX staff and guests celebrate the company's IPO in New York on Friday. SpaceX staff and guests celebrate the company's IPO in New York on Friday. SpaceX overtakes Amazon to become world's fifth most valuable company Elon Musk's firm briefly reached $2.97tn valuation days after its IPO following purchase of AI coding startup Cursor SpaceX has overtaken Amazon to become the world's fifth most valuable company days after its stock market debut . The milestone came as Elon Musk's company agreed to buy the startup behind the AI-powered coding app Cursor for $60bn (£44bn), in an attempt to capitalise on the technology's success as a coding tool. SpaceX is the parent of Musk's AI business, xAI, which will be able to boost its capabilities in an area - AI systems writing code - that has proven to be a strong commercial success for Anthropic, the rival company behind the Claude chatbot.

Musk's SpaceX buys AI coding start-up for $60bn days after IPO SpaceX has agreed to buy AI coding start-up Cursor for $60bn (£45bn) just days after its bumper initial public offering (IPO). Elon Musk's rocket company will take over Anysphere, which makes the artificial intelligence coding agent. The move comes after SpaceX joined New York's tech-focused Nasdaq stock exchange on Friday in the biggest ever listing, valuing it at more than $2tn and raising $85.7bn . A surge in SpaceX's share price on Monday and Tuesday saw the company overtake Amazon to become the world's fifth most valuable company. The companies have been partners since April, when SpaceX announced it had the right to either buy it for $60bn, or pay $10bn for the work they have done together.

We consider the problem of recovering a mental target (e.g., an image of a face) that a participant has in mind from paired EEG (i.e., brain responses) and image (i.e., perceived faces) data collected during interactive sessions without access to labeled information. The problem has been previously explored with labeled data but not via self-calibration, where labeled data is unavailable. Here, we present the first framework and an algorithm, CURSOR, that learns to recover unknown mental targets without access to labeled data or pre-trained decoders. Our experiments on naturalistic images of faces demonstrate that CURSOR can (1) predict image similarity scores that correlate with human perceptual judgments without any label information, (2) use these scores to rank stimuli against an unknown mental target, and (3) generate new stimuli indistinguishable from the unknown mental target (validated via a user study, N=53). We release the brain response data set (N=29), associated face images used as stimuli data, and a codebase to initiate further research on this novel task.

In this week's episode of, we talk about Tim Cook's legacy as CEO at Apple and what his long-rumored departure means for the future of one of the world's biggest companies. They also go into the reasoning behind SpaceX and Cursor's surprising deal, and why Palantir's self-published manifesto drew a lot of heat online. Also, we discuss why some conspiracy theorists are leaving Trump's side, and how a scammer created an AI-generated woman to attract and grift MAGA men. Tim Cook's Legacy Is Turning Apple Into a Subscription This Scammer Used an AI-Generated MAGA Girl to Grift'Super Dumb' Men Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . Zoë, Leah, and I have really enjoyed being your new hosts these past few weeks, and we want to hear from you. If you like the show and have a minute, please leave us a review in the podcast or app of your choice. It really helps us reach more people, and for any questions and comments, you can always reach us at [email protected] . I missed you so much. And I missed you the exact same amount. I'm going to go away more often. Absence makes the heart go fonder, as we all know, and I'm thrilled to be here. This week on the show, we're saying goodbye to Apple CEO, Tim Cook, who announced that he is stepping down from the top gig at the company. And, more than just talking about his legacy at Apple, we'll be looking into what this long-awaited shift actually means for the future of one of the world's biggest companies. We'll also get into why SpaceX and Cursor's potential $60 billion deal announced this week is pretty staggering, and we'll get into Palantir's controversial 22-point manifesto. I feel like manifesto's inherently controversial, otherwise they'd be memos that they posted on X this week.

Elon Musk speaks at the SpaceX Hyperloop Pod Competition II in Hawthorne, California, in 2017. Elon Musk speaks at the SpaceX Hyperloop Pod Competition II in Hawthorne, California, in 2017. Cursor is a Silicon Valley startup using AI to automate coding as Elon Musk's firm seeks foothold in the AI market SpaceX said it has secured an option to either acquire code-generation startup Cursor for $60bn later this year, or pay $10bn for their new partnership, as it pushes deeper into the lucrative market for AI developer tools. Along with OpenAI and Anthropic, Cursor is one of several Silicon Valley startups that has drawn waves of developers by using artificial intelligence to automate coding, a business where AI companies have found early commercial traction. The deal could give xAI, the Grok chatbot maker that SpaceX merged with in February, a stronger foothold in the AI coding market where it has so far lagged rivals.

The X and xAI owner is now working closely together with the maker of the AI coding tool. The xAI and SpaceX logos appear on a smartphone screen placed on a reflective surface onto which an abstract black and blue illustration is projected. SpaceX and AI company Cursor have struck a new partnership that could see the owner of X buy the AI company for $60 billion later this year. SpaceXAI and @cursor_ai are now working closely together to create the world's best coding and knowledge work AI, SpaceX wrote in a post on X. SpaceXAI and @cursor_ai are now working closely together to create the world's best coding and knowledge work AI. According to SpaceX, the deal allows for it to either invest $10 billion into the company known for its AI coding tool, or acquire it entirely later this year for $60 billion.

The 300-person startup hopes bringing designers aboard will give it an edge in an increasingly competitive AI software market. Cursor, the wildly popular AI coding startup, is launching a new feature that lets people design the look and feel of web applications with AI. The tool, Visual Editor, is essentially a vibe-coding product for designers, giving them access to the same fine-grained controls they'd expect from professional design software. But in addition to making changes manually, the tool lets them request edits from Cursor's AI agent using natural language. Cursor is best known for its AI coding platform, but with Visual Editor, the startup wants to capture other parts of the software creation process.

We also introduce a multimodal likelihood model for recordings of neural populations which can be rapidly calibrated for clinical applications.

AI programming assistants have demonstrated a tendency to generate code containing basic security vulnerabilities. While developers are ultimately responsible for validating and reviewing such outputs, improving the inherent quality of these generated code snippets remains essential. A key contributing factor to insecure outputs is the presence of vulnerabilities in the training datasets used to build large language models (LLMs). To address this issue, we propose curating training data to include only code that is free from detectable vulnerabilities. In this study, we constructed a secure dataset by filtering an existing Python corpus using a static analysis tool to retain only vulnerability-free functions. We then trained two transformer-based models: one on the curated dataset and one on the original, unfiltered dataset. The models were evaluated on both the correctness and security of the code they generated in response to natural language function descriptions. Our results show that the model trained on the curated dataset produced outputs with fewer security issues, while maintaining comparable functional correctness. These findings highlight the importance of secure training data in improving the reliability of AI-based programming assistants, though further enhancements to model architecture and evaluation are needed to reinforce these outcomes.