TLDR AI 2025-10-17

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CLAUDE'S SKILLS

Anthropic has unveiled Claude Skills, modular task-specific packages containing instructions, scripts, and resources. These make Claude more effective at specialized tasks by loading relevant context only when needed.

OPENAI DEVELOPS SHARED CHATGPT PROMPTS FEATURE FOR TEAMS

OpenAI's Prompts feature within team workspaces for ChatGPT appears to be aimed at organizations. It creates a library of shared prompts made by team members accessible across the team. Team members are able to create prompt templates, set custom instructions, and integrate variables. Teams will be able to package up complex, multistep tasks into single prompts using built-in tools.

CLAUDE SKILLS ARE AWESOME, MAYBE A BIGGER DEAL THAN MCP

Anthropic's new Skills feature consumes only dozens of tokens per skill until needed compared to MCPs that can burn tens of thousands upfront. The design is incredibly simple: drop instructions in a folder and Claude figures out when to use them. This token efficiency and model-agnostic approach (any coding agent can read the files) will trigger a "Cambrian explosion" that makes the MCP rush look pedestrian, especially since skills transform Claude Code from a coding tool into a general automation agent capable of handling anything you could accomplish by typing commands.

AI AT WORK: OPENAI'S WORKFORCE BLUEPRINT

GPT-5-level models now match human professionals on roughly half of economically valuable tasks, completing work in minutes that would take a human hours. OpenAI has proposed a retraining program targeting 10 million Americans by 2030, acknowledging evidence that AI is already displacing entry-level workers. The company frames AI as "more enabler than replacer" despite proposing a massive retraining initiative, which has historically failed to prevent job displacement from technological change.

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INTRODUCING SWE-GREP AND SWE-GREP-MINI: RL FOR MULTI-TURN, FAST CONTEXT RETRIEVAL

Cognition trained specialized models that retrieve code context 10x faster than frontier models by using RL to issue up to 8 parallel tool calls per turn instead of the sequential searches typical agents use. Speed matters more than the industry realizes because it allows developers to stay in a flow state.

THE ART OF SCALING REINFORCEMENT LEARNING COMPUTE FOR LLMS

ScaleRL is a framework for analyzing and predicting compute scaling in LLM reinforcement learning. Their large-scale study shows that stable training recipes yield predictable performance curves, aiding efficient resource allocation.

RECURSIVE LANGUAGE MODELS

Recursive Language Models (RLMs) can decompose and recursively interact with their input context as a variable. An RLM using GPT-5-mini outperforms GPT-5 with more than double the number of correct answers on OOLONG while being cheaper per query on average. RLMs outperform other methods ReAct + test-time indexing and retrieval over the prompt without any degradation in performance when given over 10 million tokens at inference time. RLMs trained explicitly to recursively reason are likely to be the next milestone in general-purpose inference time scaling.

INTRODUCING MANUS 1.5

Manus 1.5 adds full-stack web development that handles backend infrastructure, databases, QA, and user authentication entirely, achieved entirely through natural language. The agent can test apps by itself and fix issues autonomously.

THRILLED TO SHARE I'VE JOINED OPENAI FOR SCIENCE

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DEEPSOMATIC FOR DETECTING TUMOR MUTATIONS

DeepSomatic is a convolutional neural network tool that identifies somatic variants in tumor cells more accurately across multiple sequencing platforms.

CLAUDE INTEGRATES WITH MICROSOFT 365

Claude now connects with Microsoft 365, enabling search across SharePoint, Outlook, and Teams to surface insights and streamline decision-making within enterprise workflows.

10X BACKBONE: HOW META IS SCALING BACKBONE CONNECTIVITY FOR AI

Meta's Backbone network provides wide-area network connectivity to networked locations.

AI DATA CENTERS, DESPERATE FOR ELECTRICITY, ARE BUILDING THEIR OWN POWER PLANTS

The US is estimated to deliver almost 80 gigawatts of new power generation starting in 2027.

UBER IS TURNING ITS APP INTO AN AI TRAINING GROUND

US Uber drivers and couriers can now earn extra money by performing 'microtasks' to train AI models.

CHARACTER.AI IMMERSIVE STORYTELLING

Character.AI has released Scenes, a structured feature that lets users create interactive, narrative-driven role-play settings without needing to build a new character each time.