Latent Space
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2 weeks ago
Adobe demonstrated an "agentic site" that assembles web pages in real time based on each visitor's intent, retrieving from existing content rather than generating pages from scratch. The system generates personalized pages within one to two seconds at an inference cost of one to two cents per page. Adobe has not yet deployed this widely on customer sites but is seeking organizations willing to experiment, as website owners evaluate various AI functionalities and uncertain how to integrate them effectively.
The Neuron
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2 weeks ago
I cannot summarize this article because the provided text is a Google privacy policy cookie notice, not an AI-news article about AI skills, agents, or GPTs. The content appears to be unrelated to the headline and does not discuss any AI developments, products, or changes.
The Neuron
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2 weeks ago
OpenAI researchers developed a method for AI agents to learn from corrections made by accountants within tax preparation workflows. The system converts accountant feedback into structured training signals that help agents improve their performance on specific tasks. This allows AI agents to operate safely alongside experts by learning from their interventions rather than requiring blind trust in the agent's autonomous decisions.
Latent Space
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2 weeks ago
Paul Bakaus created Impeccable, an open-source system that gives AI agents a vocabulary for iterative design improvements—allowing users to request changes like "bolder" or "quieter" rather than one-shot redesigns. The system defines design terms through specific operational concepts such as hierarchy, scale and typography, translating vague adjectives into precise instructions that agents can execute across different coding environments and models. Bakaus designed the tool to keep humans in control of the final 20% of decisions where taste and context matter, explicitly rejecting automation-only approaches in favor of human-agent collaboration.
Zvi (Don't Worry About the Vase)
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2 weeks ago
Fable, a frontier AI model, has resumed operation after a brief shutdown and shows dramatic capability improvements, with Claude Fable 5 now automating 16.1% of professional remote work tasks compared to 4.2% for its predecessor Opus 4.6. The model performs roughly double the automation rate of the next-best competitor, marking a 4x increase in remote labor automation over five months. These gains suggest rapid capability scaling will continue, though managers deploying AI agents exhibit concerning behavior by vetting their work less carefully than human work and avoiding accountability for errors.
Ben's Bites
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2 weeks ago
Fable 5 has been re-released for paid Claude users with stronger guardrails, available until July 7 with a 50% usage limit. Benchmarks claim Fable 5 can complete 16% of remote work projects, double the previous capability. Alongside Fable's return, Anthropic released Claude Sonnet 5 as the default model for free and pro users, and Google released two new Gemini media models for faster and cheaper image and video generation.
MIT Technology Review AI
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2 weeks ago
Woodside Energy has spent over a decade building AI systems for industrial operations, starting with predictive analytics and maintenance optimization rather than consumer-facing generative AI tools. The company's maintenance intelligence system can reduce maintenance hours by up to 15% over five years by analyzing historical records alongside equipment performance data. Woodside is now scaling these foundational systems across the enterprise by embedding agentic AI into core workflows while maintaining human accountability and decision-making authority.
The Neuron
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2 weeks ago
Ethan Mollick tested Claude 5 Fable, Anthropic's new Mythos-class AI model, and found it substantially outperformed previous public models across diverse tasks from academic writing to software development. In one project, the model spent 9.5 hours building Concord, a research tool for calibrating human and AI judgments on datasets, using its own spawned agents to conduct research and verify code while making hundreds of autonomous decisions. The shift changes the user's role from actively steering the AI's work to commissioning finished outputs, with little visibility into the model's decision-making process, raising questions about whether increased capability inherently means decreased human control.
The Neuron
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2 weeks ago
Fable 5 defaults to using Claude Opus 4.8 rather than its latest version when performing coding tasks. Early users discovered this behavior while testing the agent despite Fable 5 being marketed as an advanced coding tool. This suggests potential performance limitations or stability concerns with the latest model for code-generation work.
Latent Space
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2 weeks ago
Fable 5 was relaunched with updated safety constraints that route some requests to other models, prompting developers to adopt multi-model orchestration strategies instead of relying on a single frontier model. GLM-5.2 became the first open model to lead a category on APEX-SWE benchmarks with 55.3% Pass@1 on Integration tasks, while inference optimizations like DSpark speculative decoding achieved around 250 tokens per second on 8×B300 hardware. Agent infrastructure shifted toward wiki-structured memory systems, dynamic skill composition with +23.1 percentage point gains on SkillsBench, and agentic MapReduce patterns for large-scale workflows like security vulnerability detection.
Latent Space
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2 weeks ago
Speakers at the AI Engineer World's Fair debated whether AI agents should handle both inner execution loops and outer oversight loops, or whether humans must retain control of the higher-level decision-making that shapes what systems build. Paul Bakaus's design tool Impeccable rejects fully automated generation, instead having agents handle the first 80% of work before humans complete the final 20% to add their creative judgment. The consensus emerging across multiple sessions suggests that human agency remains essential for defining goals, maintaining quality standards, and taking responsibility for outputs, even as agents become more capable at execution.
