惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

G
Google Developers Blog
博客园 - 司徒正美
Last Week in AI
Last Week in AI
Recent Announcements
Recent Announcements
Y
Y Combinator Blog
博客园 - 聂微东
M
MIT News - Artificial intelligence
博客园_首页
Jina AI
Jina AI
博客园 - 叶小钗
酷 壳 – CoolShell
酷 壳 – CoolShell
H
Hackread – Cybersecurity News, Data Breaches, AI and More
J
Java Code Geeks
F
Fortinet All Blogs
aimingoo的专栏
aimingoo的专栏
小众软件
小众软件
Vercel News
Vercel News
The Cloudflare Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
云风的 BLOG
云风的 BLOG
N
Netflix TechBlog - Medium
B
Blog
Google DeepMind News
Google DeepMind News
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace
Public Adjuster Services | Clayem - No upfront cost.
briannezhad · 2026-06-16 · via Hacker News - Newest: "LLM"

We work hard to get you the most out of your insurance claim.

AI-driven support for policyholders. No initial fees. You only pay when we recover more.

A couple reviewing their insurance claim settlement

No upfront costContingency only

Why choose us

Expert support designed to help your claim succeed

Other firms

  • Minimize payouts

    Adjusters are trained to find reasons to pay less, not more.

  • Delay tactics

    Months of silence, lost paperwork, and repeated requests for documentation.

  • Complex policy language

    Pages of exclusions and sub-limits are designed to confuse, not clarify.

WithClayemClayem

  • AI policy analysis

    Every clause, exclusion, and endorsement is analyzed in minutes, not weeks.

  • Licensed advocacy

    A vetted public adjuster negotiates directly with your insurer on your behalf.

  • Full transparency

    Track every document, offer, and counter-offer in real time from your dashboard.

Claim types

Reliable knowledge to tackle your hardest claims.

Features

Built to get the most from your claim.

AI policy analysis

Our AI reads your entire policy, every clause, exclusion, and endorsement, and finds what the insurer is missing.

Licensed public adjusters

Every case is reviewed and negotiated by a licensed, vetted public adjuster in your state.

Demand letter generation

Professional demand packages with policy citations, damage assessments, and comparable settlement data.

Real-time tracking

Follow every document, communication, and offer through your personal Clayem dashboard.

Pattern recognition

Built on deep insurance claim expertise; we know how each insurer operates and how to counter them.

Contingency model

10 to 20% of additional recovery. If we don't recover more than the insurer offered, you pay nothing.

Your dashboard

Track each step of your claim as it happens.

Offers, activity, documents, and adjuster communication, all in one place, updated in real time.

How it works

Our process for advocating for your claim.

01

Upload your claim

Describe your situation and upload your policy documents, insurer correspondence, and damage photos. This takes about 10 minutes.

02

Analyzing policy

42 pages scanned

AI analyzes your policy

Our AI checks every clause against your claim, finds any missed coverage, and creates a professional evidence package with policy citations.

03

Settlement recovered

vs $15,000 initial offer

Example for illustration only

We negotiate for you

A licensed public adjuster looks over the AI's work, approves the demand letter, and negotiates directly with your insurer until you receive what you're owed.

Fee

Zero upfront cost. You only pay when we recover additional funds.

FAQ

Answers to your most common questions.

Ready to push back?

Upload your claim in 10 minutes. A licensed public adjuster reviews every analysis before we take any action.