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#Agent

Today 2 items
Oct 15Thu
  1. Latent Space40

    Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio

    On a podcast, Leash Bio's Ian Quigley explained how its DNA-encoded library (DEL) technology tames high-throughput protein-small-molecule interaction data and trained the Hermes model, which matches Boltz on public benchmarks using only the company's own data. The team also uncovered tens of thousands of lab-in-the-loop simulation data points, grew into Minos within two months, and today released a preprint, blog post, and open dataset for reinforcement learning where AI agents do verifiable scientific reasoning.

  2. The Decoder66

    Researchers tracked down a rogue fleet of Chinese AI agents in the wild and actually talked to it

    Between September 28 and October 8, 2026, AI agents running on Tencent Cloud made more than 2,600 data-scraping attempts against Alibaba's map service Amap. The agents claimed to be Anthropic's Claude but this was unverified, and a source close to Tencent said the fleet came from a research task by an evaluation team testing third-party models' web browsing capabilities.

  3. AWS Machine Learning Blog49

    Build self-improving document processing using Amazon Bedrock AgentCore

    A multi-agent intelligent document processing (IDP) system built on Amazon Bedrock AgentCore can automatically classify, extract, verify and learn from business documents. The solution uses Strands Agents to orchestrate 8 specialized agents, with Amazon Textract for text extraction and S3 Vectors for vector matching; new document types go through a training workflow that generates and saves extraction instructions for reuse, while known types go straight through the automated pipeline.

  4. Google Research74

    Analyzing technical documents with Deep Review

    Google Research has publicly released Deep Review, an agent system that provides rigorous feedback and technical verification for complex technical documents. Formerly the Paper Assistant Tool (PAT), it partnered with four conferences — STOC 2026, ICML 2026, NeurIPS 2026 and ICLR 2027 — to deliver pre-submission feedback on over 16,000 opted-in manuscripts.

    Why it matters: The article details real-world usage of over 16,000 manuscripts across four top conferences and the four-stage agent pipeline design, which can transfer to your own document review workflows.

  5. The Verge · AI41

    Square’s new kiosk lets you talk to AI for help with your order

    Square launched Square Kiosk, an ordering terminal with a 21.5-inch touchscreen and an "agentic, conversational voice layer" that understands a seller's menu in real time and responds to customers' natural-language orders, questions, and modification or substitution requests. The device supports presence detection to sense arriving guests and contactless payments. It's for Square Plus or Premium subscription merchants, priced at $1,999 plus a $99 monthly software fee per device.

Oct 14Wed
  1. TechCrunch · AI25

    TechCrunch Disrupt 2026: Day 2

    TechCrunch Disrupt 2026's second day was held at Moscone West in San Francisco, where the Expo Hall brought together 300+ startups and attendees could use AI matchmaking to connect with 10,000+ founders, investors and tech leaders.

  2. TechCrunch · AI41

    Zenzap raises $44M for its AI chat app that aims to replace WhatsApp in the workplace

    Enterprise communication app Zenzap has completed a $44 million funding round, with investors including Bessemer, Lightspeed and The Garage. The app offers group chat, direct messages, task management, calendar integration, plus AI voice chat and search. A free tier is available, and paid plans start at $51 per month (up to 20 users), unlocking voice and video calls, smart task prioritization and AI search across the whole workspace.

  3. The Decoder38

    AI guardrails designed to stop hackers are now blocking defenders, and Orion-1 aims to fill the gap

    Artemis Security has launched Orion-1, a security-focused model that can autonomously process log data from identity services, cloud, endpoints, SaaS and network devices, chain signals to determine attacks and suggest responses. It scored above 80 on all five tasks of its in-house DGR benchmark, including 80.8 on attack reconstruction, ahead of the next-best GPT-6 Sol at 58.3.

  4. Semiconductor Engineering Chips and Packaging33

    How To Define CPU And Software Stack Performance For Agentic AI

    Arm proposes a use-case-driven framework for measuring the CPU's performance contribution in Agentic AI. The framework splits CPU-visible work into generic agent framework functions and use-case-specific tool workloads, uses five representative workload archetypes, and combines component-level with end-to-end benchmarking methods. It also proposes a replayable agent trajectory scheme to isolate CPU work from model and network effects, reducing variance from non-determinism.

  5. NVIDIA Blog35

    European Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations

    Multiple cities across the EMEA region, along with software partners, are using NVIDIA accelerated computing to build physical AI agents and digital twins for urban planning, predictive maintenance, and public services. France's Côte-d'Or department deployed a sovereign digital twin based on Nemotron and Omniverse across more than 500 public buildings, cutting document retrieval time from weeks to minutes, lowering operating costs by 10%, with a target of 30% at scale.

  6. TechCrunch · AI30

    Cerebras CEO says we’re nearing a future where everyone has a personal AI assistant at home

    Cerebras CEO Andrew Feldman said at TechCrunch Disrupt 2026 that the era of at-home AI devices is not far off. He predicted personal AI assistants will run locally, splitting work between devices and the cloud like phones do, and could eventually shop on users' behalf. He cited Meta's Muse and Instinct, a startup valued at $10 billion, and said he already uses a set of agents to manage his schedule and look up who is calling him.

  7. Google DeepMind78

    Developing Gemini 4 Argon responsibly and safely

    Google DeepMind released Gemini 4 Argon, focused on complex tasks like coding, finance, law, cybersecurity and science, and opened it first to cyber defenders through the Fairwind Program.

    Why it matters: Google also details specific defenses against misuse, misalignment and prompt injection along with quantified results, letting readers see how frontier model safety is actually done.

  8. The Verge · AI60

    Shopify opens its catalog up to more AI agents

    Shopify announced Tuesday that shoppers can configure any AI agent to browse and buy from its catalog of over 1 billion products, no longer limited to the earlier Meta Muse partnership integration. Users must connect an agent to their account on Shopify's Shop platform, check out in conversation with one tap via Shop Pay, with orders returning to the Shop app; buyers must approve each purchase and can set rules like budgets or fast shipping.

  9. TechCrunch · AI41

    Flox Intelligence is building AI to keep wildlife away from trains, airports, and roads

    Flox Intelligence, a startup incubated at Sweden's KTH, has developed edge devices trained on wildlife behavior that identify animal species locally and play species-specific sounds to drive them away, varying their responses to prevent habituation. About 150 devices are deployed at airports, railways, national parks and other sites across North America, Europe and Australia, with an OEM partnership with Alstom. The company has raised about $5 million, is starting a $10 million Series A, and expects roughly $1.5 million in revenue in 2026.

  10. Hugging Face Blog67

    Run fast, private agents on-device with LFM2.5-24B-A2B

    Liquid AI released LFM2.5-24B-A2B, a reasoning model with 24B total parameters and only 2B activated per token, aimed at fast private on-device agents, published with open weights on Hugging Face.

    Why it matters: The release includes full benchmark comparisons, inference speed and a five-stage training pipeline, so readers can judge whether it fits local agent workflows.

  11. Google DeepMind83

    Gemini 4 Argon: Built to solve your hardest problems

    Google DeepMind released Gemini 4 Argon, available worldwide to developers, enterprises, scientists and consumers via the Gemini API, AI Studio, Antigravity and the Gemini app, priced at $2 per million input tokens and $10 per million output tokens, with cached input tokens at a 95% discount.

    Why it matters: The official release includes API pricing, engineering and science use cases and safety data, letting readers assess its real value for coding and agent scenarios.