prediction

Google has released TimesFM, an AI model for zero-shot time series forecasting, trained on 100 billion real data points, free and open-source.

Manifold Markets co-founder predicts that in the next three to four years, hundreds of billions to trillions of dollars will flow into philanthropy due to Anthropic's scale.

Sierra Co-Founder Bret Taylor predicts that within 3-4 years consumers will prefer businesses using AI phone agents over traditional call centers.

Bret Taylor, co-founder of Sierra, predicts that within 3-4 years, consumers will abandon businesses that lack AI customer service, comparing the leap from 3-year-old voice bots to modern AI agents as the difference between a horse-drawn carriage and a flying car.

Mythos is predicted to drop tomorrow with a 92% chance, indicating an imminent product or asset release.

The article examines Quilty, an AI startup that claims to predict film success by analyzing scripts, but early tests have shown poor accuracy and skepticism from the industry.

This paper evaluates encoder-only Transformer and LSTM models for streamflow prediction in ungauged basins using NOAA's National Water Model simulations. Results show LSTM outperforms Transformer, and incorporating downstream information significantly improves prediction skill across both architectures.

Experts estimate a 50% chance of achieving AGI by 2050, 75% by the mid-2060s, and 95% by 2090.

Jensen Huang believes Dario Amodei's prediction of $1 trillion in AI revenue by 2030 is too conservative, suggesting it will be much higher.

NVIDIA CEO Jensen Huang believes that Anthropic CEO Dario Amodei’s prediction of global AI revenue reaching $1 trillion by 2030 is too conservative, stating that the actual figure will be far higher.

The author predicts OpenAI will unveil a serious humanoid robot within three years, citing a hiring post as the beginning of a major shift from AI software to physical robotics.

Riley Brown speculates that Codex will become a full browser, enabling use of creative tools like Canva inside it, and predicts this will be the primary way people work in six months.

Google's upcoming 'AI Mode' in search is predicted to drastically change SEO by 2026, potentially wiping out traditional keyword strategies and forcing marketers to focus on contextual answers, zero-click results, and first-party data.

A hot take predicting that by 2027, AI will shift from customer-facing chatbots to backend tools that assist employees, improving efficiency and user satisfaction.

TailedTS is a large-scale benchmark dataset derived from Wikipedia hourly page views, designed for evaluating time series models under heavy-tailed and non-Gaussian conditions. It includes a periodicity quantification framework and standardized prediction benchmarks using robust loss functions.

Yann LeCun predicts that within 12-18 months, a general method for training hierarchical world models will emerge, learning from video and real-world data to aid planning in robotics, healthcare, and beyond, scaling toward a universal world model.

DT-Transformer is a foundation model trained on 57.1 million structured EHR entries from 1.7 million patients across 11 hospitals in the Mass General Brigham health system, achieving strong discrimination for next-event prediction across 896 disease categories.

This paper presents a method using a vector generalization of fusion-fission group dynamics to forecast when AI behavior shifts from desirable to undesirable, validated across multiple models and scales, offering a real-time warning signal below the current safety stack.

PHBench is a tool that predicts which ProductHunt launches will secure a Series A funding round.

This paper presents a framework using a multi-head transformer model to predict SLA violations in data centers 30 minutes in advance, encoding rules as JSON for training without manual annotation.