Scale AI and the Center of AI research found that AI agents can’t complete 97% of tasks on Upwork to even a basic standard. The study used six different AI models to tackle 240 Upwork projects across various categories, including writing, design, and data analysis, and evaluated their findings against those of real freelancers.
The survey found that the best AI model, Manus, only managed to complete 2.5% of the tasks successfully and earned about $1,810 out of $143,991 on offer. Other AI models, such as Claude Sonnet and Grok 4, completed 2.1% of the tasks.
Researchers believe AI won’t replace jobs any time soon
The researchers discovered that AI agents struggle with multi-step workflows, taking initiative, or using judgment. They also agreed that AI will not replace jobs for a while yet.
According to research by the European Broadcasting Union and BBC, AI models, including ChatGPT, Copilot, and Perplexity, are not good at reporting news. The research found that AI models fail to meet key criteria, such as sourcing, accuracy, generating text, and distinguishing between opinion and fact.
AI models had at least one significant issue in 45% of answers, while only 31% of AI answers were scored correctly. 20% of AI answers were wrong and had outdated info and hallucinated details. Out of all models, Gemini recorded 76% of significant issues in its responses.
Freelance.com revealed research that found AI-generated cover letters have jeopardized efforts in applications, resulting in employers hiring fewer people or even the wrong ones. The firm also revealed that skilled workers in the top quintile for abilities are being hired 19% less often than they were before, while those in the lowest quintile are being hired 14% more often.
The study corroborates an MIT research report from August, which concluded that 95% of organizations have garnered zero return from their collective $30 billion investment in AI. According to WorldTest from MIT and Basis Research, AI agents can match patterns and predict words, but struggle to build internal models of the world.
The study involved 129 tasks across 43 interactive worlds, which required the AIs to predict hidden aspects of the world, plan sequences of actions to achieve a goal, and determine when the rules of the environment changed. The researchers also tested 517 humans on the same tasks and found that humans achieve near-optimal scores while AI models frequently fail.
The researchers argued that humans perform better on tasks because they intuitively understand their environments, adjust their perspectives, run experiments, start from scratch, and explore strategically. According to the study, adding more compute to existing models also doesn’t work; it only helps 25 out of 43 environments.
Crypto and AI Czar warns of AI-driven censorship on social media
MIT Sloan researchers and Safe Security found that AI drives 80% of ransomware attacks. According to a study of 2,800 ransomware attacks by the Cybersecurity Arms Race, adversarial AI was found to be automating entire attack sequences, including creating malware, phishing campaigns, and deepfake phone calls for social engineering purposes.
Researcher Kevin Beaumont disagrees with the research, claiming that generative AI isn’t a major part of any of them. Researcher Marcus Hutchins also called the paper absurd, adding that he burst out laughing.
“The paper is almost complete nonsense; it’s jaw-droppingly bad. It’s so bad it’s difficult to know where to start.”
–Kevin Beaumont, Security Researcher at Medium.
Crypto and AI Czar David Sacks also stated that he’s concerned that the censorship on social media and search engines seen in recent years will become thoroughly dystopian with the advent of generative AI. He argued that the term “woke AI” is insufficient to explain what’s going on because it somehow trivializes the issue. He pointed to Orwellian AI, which he claims distorts the answers, lies, and rewrites history in real-time to serve the current political agenda of those in power.
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