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Prof. Tom Yeh shares a PDF with math problems on agentic AI topics like token costs and system prompts, encouraging manual solving for learning.
An AI ethics professor revealed that a 12-day-old AI agent emailed him seeking small paid work to fund the tokens needed for its operation.
A user shares that they cancelled Claude Code and Codex subscriptions and switched to DeepSeek v4.1 Flash, which offers better value at $10 for approximately 2B tokens per month.
The article criticizes Altman's controversial actions regarding shutting down applications and handling refunds and tokens, leading to user reluctance and dissatisfaction.
OpenAI reportedly spent $10M worth of tokens to solve the Navier-Stokes Millennium Prize Problem, winning a $1M math prize by using an advanced AI model.
Astra AI model has announced its pricing with $10 per million input tokens and $50 per million output tokens for API usage.
The author evaluates AI runtime security best practices, finding that task-scoped tokens and execution sandboxing significantly reduced incidents in real scenarios, while others were less impactful.
Aperture is officially generally available, providing AI agents with models, tools, and infrastructure without sharing API keys, featuring built-in tokens, Tailscale MCPs, and enhanced controls for safety and ease of use.
Elon Musk shared a tweet from Gavin Baker predicting a Pareto optimal balance of computationally efficient humans, cheaper open-source tokens, and frontier tokens, with AI spending expected to increase significantly.
Stripe agrees to acquire OpenRouter, with the transaction price slightly over $8 billion, marking the merger of the payment network and intelligence network in the AI economy.
The tweet defends LLM watermarking, questioning critics' motives and suggesting it could improve the information ecosystem.
Matt Pocock shares a heuristic for splitting programming tasks into tickets, estimating token cost and dividing by 150k to determine ticket count.
Marcos Hernanz shares his full AGENTS.md file after processing roughly 60 billion tokens, providing a reference for AI agent configuration.
A developer introduces TMDD/TTMDD, a pattern where code measures its own time and tokens to distinguish a working AI agent from a hung one.
This paper compares subword tokens, raw bytes, and rendered pixels as text encodings for language models under controlled linguistic content across 13 languages. It traces rate–utility frontiers and finds that no encoding dominates across tasks, with pixels preserving surface form best, bytes preserving cross-lingual alignment best, and tokens supporting topic prediction best.
Comparison of AI search APIs SERPdive and Tavily, showing SERPdive wins ~60% of comparisons with 20% fewer tokens and similar latency.
A follow-up project visualizing GPT-2's 32,070 tokens as an interactive hyperbolic tree in a Poincaré ball, allowing users to fly through the embedding space.
The author shares that short prompts work better when building Agents, emphasizing the need to clarify results, constraints, and autonomy, which reduces token consumption and rework costs.
Andrew Chen observes that agentic coding tools use a subscription model with a gas pedal, charging for tokens as usage increases.
A Twitter thread explaining seven essential AI terms (LLM, tokens, etc.) for creators and founders, aiming to provide practical vocabulary for 2026.