
Welcome back AI enthusiasts!
In todayâs AI Report:
đšâđTikTok Fires Intern Who âMaliciously Interferedâ With AI Research
đŠșAnthropicâs Four New Sabotage Evaluations for Advanced AI Models
đâSymGenâ Verifies AI Model Responses
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đ°Funding Frontlines
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Read Time: 3 minutes
đRECENT NEWS
BYTEDANCE
đšâđTikTok Fires Intern Who âMaliciously Interferedâ With AI Research

Image Source: Live at TED2023/âTikTok CEO Shou Chew on Its Future and What Makes Its Algorithm Differentâ/YouTube/Screenshot
TikTokâs parent company, ByteDance, confirmed it had to fire an intern who âmaliciously interferedâ with TikTokâs AI research.
Key Details:
A Commercial Technology intern âcommitted serious disciplinary violations,â said ByteDance. âThe intern maliciously interfered with AI model training.â
The internâs actions affected ByteDanceâs AI Training Program, where employees program an AI model by âtrainingâ it on vast amounts of data to recognize patterns, understand context, and make decisions.
The intern allegedly implanted an Unsafe Pickle (i.e., malicious code injection) that actively âuntrainedâ AI models.
The intern would participate in meetings where they tried to solve the issues, allowing him to adapt his strategies and avoid detection.
ByteDance denies the claims that the intern impacted 8,000 Graphics Processing Units (GPUs) or cost TikTok âtens of millions of dollars.â
For context, Nvidia H100 Tensor Core GPUs are estimated to cost around $25,000 per GPU.
đšRead the latest updates on this situation here.
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ANTHROPIC
đŠșAnthropicâs Four New Sabotage Evaluations for Advanced AI Models

Image Source: Canvaâs AI Image Generators/Magic Media
Anthropic, a research company building reliable, interpretable, and steerable AI systems, released four new Sabotage Evaluations for advanced AI models.
Key Details:
In theory, advanced AI models could âsubvert human oversight and decision-making in important contexts.â
In other words, as AI models become more sophisticated, they could make decisions or take actions humans donât want.
For example, advanced AI models could âcovertly sabotage efforts to evaluate their own dangerous capabilities, to monitor their behavior, or to make decisions about their deployment.â
The four new Sabotage Evaluations include Code, Sandbagging, Human Decisions, and Undermining Oversight.
They examine an advanced AI modelâs capabilities to steer humans toward bad decisions without appearing suspicious, insert bugs into codebases, and systematically undermine monitoring procedures.
Why Itâs Important:
Anthropic is open-sourcing the four new Sabotage Evaluations because they âhope other AI researchers will use, critique, and improve uponâ their work.
Uncovering potential vulnerabilities that might not be apparent in standard AI model testing helps to identify areas where human oversight is necessary.
AI RESEARCH
đâSymGenâ Verifies AI Model Responses

Image Source: Massachusetts Institute of Technology (MIT)/Good Data Initiative (GDI)/âTowards Verifiable Text Generation With Symbolic Referencesâ/Screenshot
Despite their impressive capabilities, AI models are far from perfect. They sometimes âhallucinateâ by confidently generating inaccurate or misleading information.
To prevent this, an AI modelâs responses are verified by human fact-checkers. However, this error-prone process requires them to read through extensive reports filled with citations manually.
To solve this issue, MIT researchers developed âSymGen,â a user-friendly framework that enables anyone to verify an AI modelâs responses in minutes. âSymGenâ generates responses with citations directly referring to the source.
âSymGenâ streamlines the verification process for human fact-checkers by around 20%. By making the validation of an AI modelâs responses easier and faster, âSymGenâ could prevent errors with AI applications deployed in safety-critical healthcare situations.
âIt can give people higher confidence in an AI modelâs responses because they can easily take a closer look to ensure the information is verified,â said Shannon Zejiang Shen, co-lead author of the paper on âSymGen.â
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đ°FUNDING FRONTLINES
đŒWHOâS HIRING?
Sigma Computing (San Francisco, CA): Software Engineering Intern, Summer 2025
GM Financial (Arlington, TX): Software Development Engineer Intern, Summer 2025
The New York Times {NYT} (New York, NY): Backend Engineering Intern, Summer 2025
Adobe (San Jose, CA): Research Scientist/Engineer, New College Grad 2025
Apple (Austin, TX): Machine Learning {ML} Engineer, Applied Data Science Program, Early Career
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