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Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning8h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks8h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts8h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning8h◆FrontierChallenge: Evaluating Scientific Workflow Completion8h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier8h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising8h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic8h◆Omni Interaction Agent Technical Report8h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification8h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability8h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization8h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding8h◆Tracing Computation Density in LLMs8h◆Cultural Binding Heads in Language Models8h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training8h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models8h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning8h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection8h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation8h◆Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning8h◆Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks8h◆Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts8h◆In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning8h◆FrontierChallenge: Evaluating Scientific Workflow Completion8h◆IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier8h◆AgenticGen: Reward-Guided Agentic Video Generation for Advertising8h◆Strangers to Themselves: What Language Models Say About Themselves Is Generic8h◆Omni Interaction Agent Technical Report8h◆CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification8h◆Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability8h◆Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization8h◆RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding8h◆Tracing Computation Density in LLMs8h◆Cultural Binding Heads in Language Models8h◆Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training8h◆Left-Branching Transformers Excel at Right-Branching Languages: Data Shapes Word Order Preferences in Language Models8h◆Palmyra x6 Technical Report: An Agentic, Tool-Use Model Post-Trained via Anchored Supervised Fine-Tuning8h◆'Ghaib in Translation' aka Unseen Harm: Measuring Cross-Script Safety Inconsistency with 'Missed-in-Urdu' Scores in LLM Hate Speech Detection8h◆DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation8h◆
Tag

#productivity

9 articles tagged #productivity

thevergeJun 17bearish

Two-thirds of Americans think AI is advancing too quickly

According to the latest Pew Research poll, 49 percent of Americans report using chatbots at least occasionally, but 63 percent think the tech is advancing too quickly. Overall, use of AI chatbots has increased dramatically since 2024, when only 33 percent reported using them. Specifically, ChatGPT's

OP1 model#chatbots#productivity#safetyRead on theverge →
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techcrunchJun 6bullish

What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates

Apple's WWDC nears: Here's what you can look forward to.

SIOPCL5 models · +2#ai#conversational#productivityRead on techcrunch →
openaiMay 29bullish

How Braintrust turns customer requests into code with Codex

How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.

OPGP2 models#software development#productivity#collaborationRead on openai →
openaiMay 18bullish

OpenAI and Dell partner to bring Codex to hybrid and on-premise enterprise environments

OpenAI and Dell partner to bring Codex to hybrid and on-premise environments, helping enterprises deploy AI coding agents securely across data and workflows.

CO1 model#partnership#enterprise#securityRead on openai →
techcrunchMay 2bullish

The best AI dictation apps, tested and ranked

AI-powered dictation apps are useful for replying to emails, taking notes, and even coding through your voice

LASP2 models#dictation#speech-to-text#productivityRead on techcrunch →
techcrunchApr 23bullish

Meet Noscroll, an AI bot that does your doomscrolling for you

Noscroll wants to cure doomscrolling with an AI bot that reads the internet for you.

NO1 model#ai-powered#socialmedia#newsaggregationRead on techcrunch →
techcrunchApr 17bullish

Anthropic launches Claude Design, a new product for creating quick visuals

The company says Claude Design is intended to help people like founders and product managers without a design background share their ideas more easily.

CLCL2 models#design#productivity#enterpriseRead on techcrunch →
thevergeApr 14bullish

Chrome now lets you turn AI prompts into repeatable ‘Skills’

Google is launching a new Chrome workflow feature that allows you to reuse your favorite Gemini commands across multiple webpages. Any AI prompts can now be saved as "Skills" in the Chrome desktop browser, letting you instantly run them across any tabs you select. "Until now, repeating an AI task -

GE1 model#productivity#browser#ai-assistantRead on theverge →
openaiApr 10bullish

Using custom GPTs

Learn how to build and use custom GPTs to automate workflows, maintain consistent outputs, and create purpose-built AI assistants.

OPCU2 models#customization#productivity#workflowRead on openai →