Tag
A prediction suggests that someone will earn over $1 million by selling bot templates in the next three months, coinciding with Grok Bot's new feature for sharing bot templates.
The tweet predicts three types of future people based on their interaction with AI: Purists who reject it, Automatons who outsource decisions, and New Renaissance Men who maintain humanity while leveraging technology.
This paper argues that prediction-based certification alone cannot ensure trustworthy AI and proposes a 'competence envelope' framework that integrates explanation certification to detect hidden failures.
Elon Musk tweets about a 1948 Wernher von Braun novel 'Project Mars' that eerily predicts a Martian leader titled 'Elon,' drawing parallels to his own name.
This article discusses statistical methods to predict the release dates of AI models, likely analyzing trends and patterns in development cycles.
Benjamin De Kraker recalls his 2024 prediction about a company buying Cursor to integrate a builder into Grok for making and sharing mini-apps on X.
The article suggests that the biggest winners from AI might be those who own scarce resources like land, energy, and infrastructure, rather than programmers.
This paper introduces a paired exact-reset evaluation protocol to determine when switching from a medium to a full world-model predictor improves task-specific decision loss, with experiments in PushT and PyBullet showing incremental routing benefits.
A tweet from @svpino predicts that people will choose AI models that do not watermark their responses, suggesting a shift in user preferences regarding AI outputs.
The article discusses the mathematical equivalence between compression and prediction in information theory, referencing classical foundations and modern applications like language models.
This tweet critiques how social media can separate individuals from reality, citing Walter Kirn's past prediction about Luigi Mangione as an example of this distortion.
An ngrok blog post by Annie Sexton exploring the conceptual link between compression and prediction, likely discussing how predictive systems and compression algorithms are fundamentally connected.
A 2011 Long Bets wager between Jeremy Keith and Matt Haughey bets $1,000 on whether the original URL for the prediction will still work by 2022, with proceeds to Bletchley Park Trust or the Internet Archive.
A new arXiv paper systematically tests five hypotheses for why large language models fail at tabular prediction, finding that dimensionality is the decisive factor: LLM accuracy degrades as input dimension grows, unlike classical baselines that stay flat or improve.
Elon Musk endorses Jason's prediction that the cost will drop to $25 million within 18 months, then further to $10 million and finally $3 million.
Mark Zuckerberg predicts that billions of people will have personal AI agents within five years, discussing Meta's investments in AI infrastructure during the company's quarterly earnings call.
A study on uncensored LLMs (Gemma and Qwen) shows that removing censorship makes them more optimistic in stock market predictions, but not more accurate. The effect varies by model family.
The AI 2027 Tracker has been updated, claiming 85% accuracy as of mid-2026, indicating a significant improvement in forecasting capabilities.
WorldDiT is a new, small (<1B parameters) robotics model that unifies world prediction and control, achieving top performance on the LIBERO benchmark without requiring a VLM.
The article predicts that the AI benchmark 'Agents Last Exam' will reach saturation (models maxing out performance) by February next year.