Search: “productivity”

next week at @aiDotEngineer, we are joining @togethercompute for a conversation on what goes into running agents at scale. @olive_jy_song, R…

next week at @aiDotEngineer, we are joining @togethercompute for a conversation on what goes into running agents at scale. @olive_jy_song, Research Lead, RL at MiniMax, and @realDanFu, VP of Kernels a

agentstogether-ai--x

27 Jun 2026

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Sources: Salesforce staff worry Anthropic's Claude Tag could cannibalize Slackbot and give the AI firm more leverage over the enterprise software industry (Laura Bratton/The Information)

DGX agent

Laura Bratton / The Information: Sources: Salesforce staff worry Anthropic's Claude Tag could cannibalize Slackbot and give the AI firm more leverage over the enterprise software industry — When Anthr

model-releasestechmeme

27 Jun 2026

AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing

arXiv:2606.26787v1 Announce Type: cross Abstract: Traditional dynamic pricing models in large-scale e-commerce suffer from limited interpretability, poor utilization of unstructured information, and m

Compositionality and the lexicon in evolutionary semantics

arXiv:2606.27228v1 Announce Type: new Abstract: Formal semantics has shown that sentence meanings arise by recursively composing lexical meanings, yet much of the literature on semantic universals mod

researcharxiv-cs-cl

ConvMemory v3: A Validity Context Layer for Conversational Memory via Target-Conditioned Relation Verification

model-releasesarxiv-cs-cl

arXiv:2606.26753v1 Announce Type: new Abstract: Conversational memory retrieval optimizes relevance, yet a retrieved memory can be relevant and simultaneously outdated: a later turn updates, corrects,

Cross-Head Attention Uplift Network with Inverse Propensity Score under Unobserved Confounding

arXiv:2606.27114v1 Announce Type: new Abstract: Uplift modeling, crucial for estimating individual treatment effects (ITE), faces dual challenges: flexibly leveraging inter-group similarity to enhance

Dream machine -- the next creative economy

arXiv:2606.26114v1 Announce Type: cross Abstract: We examine the structural transformation of creative industries under generative artificial intelligence, drawing on 374 primary sources spanning poli

Epiphany-Aware KV Cache Eviction Without the Attention Matrix

arXiv:2606.26472v1 Announce Type: cross Abstract: As reasoning models emit chains of thought tens of thousands of tokens long, KV cache increasingly becomes a deployment bottleneck. Existing cache evi

applicationsarxiv-cs-cl

Exact and Deterministic Patch Descriptor Retrieval via Hierarchical Normalization

arXiv:2606.27280v1 Announce Type: new Abstract: We present a patch descriptor retrieval method that returns the exact nearest neighbour -- provably identical to exhaustive full-vector search -- while

researcharxiv-cs-cv

Tutorials

Forward Deployed Engineering is the most critical ingredient for Enterprise AI adoption. It’s why the most important companies on the planet…

Forward Deployed Engineering is the most critical ingredient for Enterprise AI adoption. It’s why the most important companies on the planet are investing so heavily into it. That’s why we put togethe

tutorialsswyx--x

From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan

arXiv:2606.27234v1 Announce Type: cross Abstract: AI nudification uses generative models to create synthetic non-consensual sexually explicit imagery (SNEACI) of real individuals. Prior work has exami

applicationsarxiv-cs-ai

Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference Optimization

arXiv:2606.26899v1 Announce Type: new Abstract: Embedding-based retrieval ranks items by their similarity to a query in a shared vector space and usually aims to return the highest-scoring items. In m

Hardware

Hierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization

arXiv:2606.27216v1 Announce Type: cross Abstract: Muon-type optimizers construct update directions for dense neural-network weights by applying a finite Newton-Schulz map to momentum-gradient matrices

hardwarearxiv-cs-lg

Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model

model-releasesarxiv-cs-ai

arXiv:2606.26373v1 Announce Type: cross Abstract: Dense embeddings power semantic search and retrieval-augmented generation, but embedding-inversion attacks can reconstruct source text from a vector:

Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure

arXiv:2606.26588v1 Announce Type: new Abstract: A central challenge in deploying learned robot policies is inference-time behavior steering: redirecting a policy at test time to satisfy user preferenc

safetyarxiv-cs-ro

Know2Guess: A Contamination-Aware Multi-Zone Benchmark for Knowledge-Boundary Evaluation in Large Language Models

model-releasesarxiv-cs-ai

arXiv:2606.26101v1 Announce Type: cross Abstract: Reliable evaluation of large language models should separate supported answering from unsupported guessing without conflating either with data contami

LCAi: Life Cycle Assessment with big data fusion and retrieval-augmented generation-assisted interpretation

model-releasesarxiv-cs-ai

arXiv:2606.26857v1 Announce Type: new Abstract: The interpretation phase of life cycle assessment often lacks structured mechanisms for translating quantified improvement opportunities addressing envi

Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training

arXiv:2512.02652v2 Announce Type: replace-cross Abstract: Existing methods for expressive music performance rendering, a conditional generation task that aims to generate a human-like performance from

applicationsarxiv-cs-ai

RecallRisk-BERT: A Multi-Task Framework for Post-Report Medical Device Recall Triage

arXiv:2606.27174v1 Announce Type: new Abstract: Medical device recalls are a critical regulatory mechanism for protecting patient safety. The growing volume of FDA recall records presents challenges i

Self-Supervised Tree-level Biomass Estimation in Urban Environments From Airborne LiDAR and Optical Observations

arXiv:2606.26194v1 Announce Type: new Abstract: Urban tree biomass remains less spatially explicitly quantified than biomass in managed forests because many estimates rely on inventories or coarse pro

researcharxiv-cs-cv

Semantic Early-Stopping for Iterative LLM Agent Loops

arXiv:2606.27009v1 Announce Type: new Abstract: Multi-agent large language model (LLM) loops, for example a Writer that drafts and a Critic that revises, are almost always terminated by a fixed iterat

Trace AI SDK 7 operations with LangSmith!

LangSmith enables tracing and monitoring of AI SDK 7 operations, allowing developers to observe and debug their AI applications built with the SDK. This tool provides visibility into model interaction

agentsharrison-chase--x

VW may close four factories to adapt to the future, report says

Volkswagen CEO Oliver Blume is reportedly preparing a major overhaul that could eliminate up to 100,000 jobs worldwide and eventually close four factories in Germany. The plants targeted for closure a

industryars-technica

What happened after 2,000 people tried to hack my AI assistant

model-releasessimon-willison

What happened after 2,000 people tried to hack my AI assistant Fernando Irarrázaval ran a challenge on hackmyclaw.com to see if anyone could leak secrets held by his OpenClaw test instance by sending

A Framework for Directed Hypergraph Signal Processing via tensor t-SVD

arXiv:2606.25112v1 Announce Type: new Abstract: We introduce Directed Hypergraph Signal Processing (DHGSP), a unified framework that extends graph signal processing to accommodate both higher-order (p

researcharxiv-cs-lg

Agents are easy to demo locally. The hard part is shipping them inside a real app. We published a deployment cookbook for @LangChain agents:…

applicationsharrison-chase--x

Agents are easy to demo locally. The hard part is shipping them inside a real app. We published a deployment cookbook for @LangChain agents: full-stack examples with streaming UI, subagents, thread hi

AI Coaching for Accelerating Human Skill Development with Reinforcement Learning

arXiv:2606.25337v1 Announce Type: new Abstract: AI copilots can substantially boost human performance through shared control, but excessive assistance can induce over-reliance and skill atrophy. This

agentsarxiv-cs-ro

Apple ratchets up prices, blames the cost of memory

Apple announced price hikes on MacBooks and iPads, citing increased memory and storage costs that CEO Tim Cook said had become unavoidable. The rapid expansion of AI data centers has created extraordi

industryars-technica

Apple says 'the rapid expansion of AI data centers has created an extraordinary surge in demand for memory and storage'; the MacBook Neo rises from 599 to 699 (Mark Gurman/Bloomberg)

Mark Gurman / Bloomberg: Apple says “the rapid expansion of AI data centers has created an extraordinary surge in demand for memory and storage”; the MacBook Neo rises from 599 to 699 — Apple Raises P

industrytechmeme

Apple’s Macs and iPads and Microsoft’s Xbox consoles are getting more expensive — blame AI

The surging cost of memory chips has translated into a bonanza for companies like Micron Technologies Inc., but for almost everyone else there’s going to be a steep price to pay, with both Apple Inc.

industrysiliconangle

AutoRelAnnotator: Calibrated Model Cascades for Cost-Efficient Relevance Evaluation in Sponsored Search

arXiv:2606.25871v1 Announce Type: cross Abstract: How can we generate high-quality relevance annotations at scale without the cost and delays of human labeling? Relevance annotations are the backbone

applicationsarxiv-cs-ai

Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance

arXiv:2606.16663v2 Announce Type: replace Abstract: Money laundering through insurance claims poses a threat to insurers both through fraudulent payouts and reputational and regulatory risk. Despite t

applicationsarxiv-cs-lg

Tutorials

Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels

arXiv:2604.00316v2 Announce Type: replace-cross Abstract: Grokking occurs when a model achieves high training accuracy but generalization to unseen test points happens long after that. This phenomenon

tutorialsarxiv-cs-lg

deployment cookbook for langchain agents!

applicationsharrison-chase--x

deployment cookbook for langchain agents! Agents are easy to demo locally. The hard part is shipping them inside a real app. We published a deployment cookbook for @LangChain agents: full-stack exampl

excited to be speaking at @aiDotEngineer World Fair next week on Improving Agents, Continual Learning, and why we think a large part of it i…

excited to be speaking at @aiDotEngineer World Fair next week on Improving Agents, Continual Learning, and why we think a large part of it is...Data Mining! Trace Mining is how we understand agent beh

agentsharrison-chase--x

focusing on a single user story in your marketing can be challenging because you feel like that one story might not resonate with all of you…

focusing on a single user story in your marketing can be challenging because you feel like that one story might not resonate with all of your target customers but when done well (like this), it’s emot

agentsyohei-nakajima--x

Ford had to hire back former engineers to fix mistakes made by its automated systems

To celebrate its new status as No. 1 in JD Power's initial quality ranking among mainstream automakers, Ford is opening up about the challenges it has faced in recent years, especially around its reli

applicationsthe-verge-ai

How do you construct, compact, and query a full-text search index when all your durable data lives in object storage? And where every GET co…

applicationsharrison-chase--x

How do you construct, compact, and query a full-text search index when all your durable data lives in object storage? And where every GET costs 50–100ms? @ankush_gola11 + team on how we built and run

How the US AI build-out is pushing up prices for electricity, software, and more; in a survey, 81% of economists say it will add to inflation over the next year (Justin Lahart/Wall Street Journal)

Justin Lahart / Wall Street Journal: How the US AI build-out is pushing up prices for electricity, software, and more; in a survey, 81% of economists say it will add to inflation over the next year —

industrytechmeme

Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization

arXiv:2606.25656v1 Announce Type: new Abstract: As advanced RAG variants like GraphRAG and Agentic RAG emerge, one leading question is when and how to use them. Here, we introduce a framework for diff

agentsarxiv-cs-cl

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application

arXiv:2606.25362v1 Announce Type: cross Abstract: Sequential contextual stochastic programs model real-time decision systems in which each time epoch commits to an action under uncertainty whose conse

Notion killing Skiff-influenced email app since most users use AI agents instead

Notion is shutting down Notion Mail, its AI-enhanced email client launched in April 2025 based on the Skiff acquisition, on September 22. More than 50% of Notion Mail users now manage their email usin

industryars-technica

Notion plans to shut down its Gmail client Notion Mail on September 22 and go 'all in' on AI agents to run inboxes, saying 50%+ of users do not open the inbox (Zac Hall/9to5Mac)

Zac Hall / 9to5Mac: Notion plans to shut down its Gmail client Notion Mail on September 22 and go “all in” on AI agents to run inboxes, saying 50%+ of users do not open the inbox — Last year, Notion e

industrytechmeme

One key insight for using engine as memory is that traces are key ingredient of memory, and engine already has access to all of them

One key insight for using engine as memory is that traces are key ingredient of memory, and engine already has access to all of them @hwchase17 I love that this is built on traces rather than a separa

agentsharrison-chase--x

Repositioning retail for the AI era

Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping assistants

researchmit-tech-review

Scalable Peptide Design via Memory-Efficient Equivariant Transformer

arXiv:2606.25006v1 Announce Type: new Abstract: Target-specific peptide design requires sequence and structure co-design under full atom geometric constraints. Latent generative frameworks offer an ef

researcharxiv-cs-lg

Specifying AI-SDLC Processes: A Protocol Language for Human-Agent Boundaries

arXiv:2606.20615v2 Announce Type: replace Abstract: AI agents now participate as first-class team members across the software development lifecycle, yet no specification language exists for expressing

Speculative Decoding at Temperature Zero: A Scoped Safety-Invariance Screen with a 48,072-Sample Expansion

arXiv:2606.25097v1 Announce Type: new Abstract: Speculative decoding accelerates inference by letting a draft model propose tokens for a target model to verify, raising a concrete safety question: at