Cost
Topic archive • 9 matches
AI-generated: summaries written by AI from the linked sources. How we use AI
2026-10-26
Technology
OpenAI has released GPT-6.1 Terra, a new mid-range model that halves API prices compared to its predecessor. Early discussions suggest it delivers performance close to larger models like GPT-6-Astra at a fraction of the cost, setting a new standard for intelligence per dollar.
AI Models • OpenAI News
PermalinkA Brown University undergraduate has mapped the hidden global labor force that powers AI, revealing that many workers in the Global South are paid low wages for the work that enables algorithmic systems. The research highlights the often-unseen human cost behind AI.
AI and Society • Hacker News
Permalink
2026-10-27
Tips
Productivity
Simon Willison notes that computer use is a good example of a task that benefits from a less expensive model, since it may be used for automated, repetitive tasks.
PermalinkProductivity
The Neuron reports that OpenAI's GPT-6.1 Terra halves standard API prices and improves computer-use performance, while its safety simulations reveal authorization failures that businesses need to assess alongside task accuracy and review costs.
Permalink
2026-10-29
Technology
Based on a transcript excerpt: Matthew Berman reviews Google's announcement of Gemini 4 Carbon, which the company claims is the best model on the planet. He covers the benchmarks, including its top ranking on Artificial Analysis Index V5, its efficiency and lower cost compared to Opus, and its state-of-the-art cybersecurity capabilities, while noting the model has not yet been publicly released.
AI News & Model Releases • Matthew Berman
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Tips
Productivity
Simon Willison notes that Anthropic and OpenAI now offer API credits equivalent to $100/$200/$500 subscription tiers, which he says may let him ship public-facing demos since credits are already covered by existing subscriptions.
PermalinkProductivity
Ted Sanders says LLM performance is multidimensional, but much variation is explained by model size: bigger models are generally more performant/reliable, cost more per token, and have better recall of esoteric facts.
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