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The Unreliability of LLMs and What Lies Ahead

Source: news.ycombinator.com | By Binyamin Grobman

Published on: 2025-06-04 03:36:46

Thoughts on Investing and Starting Up It’s been a big week in AI. Google, OpenAI, and Anthropic all had major releases, and one clear throughline was the push toward increasingly autonomous coding agents. So we figured this was the perfect moment to talk about how unreliable Large Language Models (LLMs) are as a base technology, and what that means for builders trying to work with them. Unreliability is the core bottleneck to unlocking the full power of LLMs. For all the deserved excitement ar

Keywords: ai llm llms user verification

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s3: The new RAG framework that trains search agents with minimal data

Source: venturebeat.com | By Ben Dickson

Published on: 2025-06-10 05:51:11

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers at University of Illinois Urbana-Champaign have introduced s3, an open-source framework designed to build retrieval-augmented generation (RAG) systems more efficiently than current methods. s3 can benefit developers creating real-world large language model (LLM) applications, as it simplifies and reduces the cost of creating retriever models within RAG arch

Keywords: llm rag retrieval s3 search

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A thought on JavaScript "proof of work" anti-scraper systems

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-10 05:01:25

One of the things that people are increasingly using these days to deal with the issue of aggressive LLM and other web scrapers is JavaScript based "proof of work" systems, where your web server requires visiting clients to run some JavaScript to solve a challenge; one such system (increasingly widely used) is Xe Iaso's Anubis. One of the things that people say about these systems is that LLM scrapers will just start spending the CPU time to run this challenge JavaScript, and LLM scrapers may we

Keywords: javascript llm proof scrapers work

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Show HN: My LLM CLI tool can run tools now, from Python code or plugins

Source: news.ycombinator.com | By Simon Willison

Published on: 2025-06-12 16:53:03

Large Language Models can run tools in your terminal with LLM 0.26 LLM 0.26 is out with the biggest new feature since I started the project: support for tools. You can now use the LLM CLI tool—and Python library—to grant LLMs from OpenAI, Anthropic, Gemini and local models from Ollama with access to any tool that you can represent as a Python function. LLM also now has tool plugins, so you can install a plugin that adds new capabilities to whatever model you are currently using. There’s a lot

Keywords: datasette llm model tool tools

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Hallmark Left Peacock, but I Found a Cool Replacement for Fans. And It's Free

Source: cnet.com | By See Full Bio

Published on: 2025-06-12 20:30:03

Have you heard the news? The three-year programming deal between Hallmark and Peacock has officially ended, meaning the studio's collection of small-town romances and holiday movies can no longer be viewed on NBC's streaming platform. Wipe that tear from your eye, friend. I've got a solution and it's absolutely free. Allow me to introduce you to Hoopla, a digital entertainment app that has a packed content slate of everything from audiobooks, podcasts and movies to TV shows, music and classes.

Keywords: hallmark hoopla library movies plus

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Most leading chatbots routinely exaggerate science findings

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-14 16:54:53

It seems so convenient: when you are short of time, asking ChatGPT or another chatbot to summarise a scientific paper to quickly get a gist of it. But in up to 73 per cent of the cases, these large language models (LLMs) produce inaccurate conclusions, a new study by Uwe Peters (Utrecht University) and Benjamin Chin-Yee (Western University and University of Cambridge) finds. Almost 5,000 LLM-generated summaries analysed The researchers tested ten of the most prominent LLMs, including ChatGPT,

Keywords: chatgpt llms models science university

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Peer Programming with LLMs, for Senior+ Engineers

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-16 06:45:02

Programming with LLMs is both promising and frustrating. While these AI assistants can help with coding and debugging, they often waste time too. Yet for senior engineers, pair peer programming with LLMs shows real potential. This article is a collection of blog posts written by other senior or staff+ engineers exploring the use of LLM in their work, without the usual hype or buzzwords from the usual suspects. I hope you find them useful and inspiring. Articles and Resources Practical AI tech

Keywords: llm llms think using work

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Ask HN: Go deep into AI/LLMs or just use them as tools?

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-16 10:05:46

I'm a software engineer with a solid full-stack background and web development. With all the noise around LLMs and AI, I’m undecided between two paths: 1. Invest time in learning the internals of AI/LLMs, maybe even switching fields and working on them 2. Continue focusing on what I’m good at, like building polished web apps and treat AI as just another tool in my toolbox I’m mostly trying to cut through the hype. Is this another bubble that might burst or consolidate into fewer jobs long-ter

Keywords: ai apps betting llms web

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Positional preferences, order effects, prompt sensitivity undermine AI judgments

Source: news.ycombinator.com | By James Padolsey

Published on: 2025-06-17 12:20:40

Beyond their everyday chat capabilities, Large Language Models are increasingly being used to make decisions in sensitive domains like hiring, health, law, and civic engagement. The exact mechanics of how we use these models in such scenarios is vital. There are many ways to have LLMs make decisions, including A/B decision-making, ranking, classification, "panels" of judges, etc. but every single method is individually fragile and subject to measurement biases that are rarely discussed. Enginee

Keywords: bias biases llms models prompt

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32 bits that changed microprocessor design

Source: news.ycombinator.com | By Willie D. Jones

Published on: 2025-06-18 20:18:22

In the late 1970s, a time when 8-bit processors were state of the art and CMOS was the underdog of semiconductor technology, engineers at AT&T’s Bell Labs took a bold leap into the future. They made a high-stakes bet to outpace IBM, Intel, andother competitors in chip performance by combining cutting-edge 3.5-micron CMOS fabrication with a novel 32-bit processor architecture. Although their creation—the Bellmac-32 microprocessor—never achieved the commercial fame of earlier ones such as Intel’s

Keywords: 32 bell bellmac chip labs

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32 Bits That Changed Microprocessor Design

Source: news.ycombinator.com | By Willie D. Jones

Published on: 2025-06-19 01:18:22

In the late 1970s, a time when 8-bit processors were state of the art and CMOS was the underdog of semiconductor technology, engineers at AT&T’s Bell Labs took a bold leap into the future. They made a high-stakes bet to outpace IBM, Intel, andother competitors in chip performance by combining cutting-edge 3.5-micron CMOS fabrication with a novel 32-bit processor architecture. Although their creation—the Bellmac-32 microprocessor—never achieved the commercial fame of earlier ones such as Intel’s

Keywords: 32 bell bellmac chip labs

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Adventures in Symbolic Algebra with Model Context Protocol

Source: news.ycombinator.com | By Stephen Diehl

Published on: 2025-06-20 12:59:25

Adventures in Symbolic Algebra with Model Context Protocol I spent last weekend playing with this new MCP protocol all the kids are talking about. And it's fun, but a bit early and rough around the edges. MCP, if you're not familiar, is Anthropic's answer to the question: "How do we get AI to actually DO things instead of just TALK about doing them?" It's a protocol that allows language models to call external tools, much like how your friend who claims to know everything actually calls their

Keywords: frac language llm mcp tool

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LLM function calls don't scale; code orchestration is simpler, more effective

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-22 09:18:52

LLM function calls don't scale; code orchestration is simpler, more effective. 20 May, 2025 TL;DR: Giving LLMs the full output of tool calls is costly and slow. Output schemas will enable us to get structured data, so we can let the LLM orchestrate processing with generated code. Tool calling in code is simplifying and effective. One common practice for working with MCP tools calls is to put the outputs from a tool back into the LLM as a message, and ask the LLM for the next step. The hope he

Keywords: calls code data llm mcp

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llm-d, Kubernetes native distributed inference

Source: news.ycombinator.com | By Robert Shaw

Published on: 2025-06-25 03:37:47

llm-d is a Kubernetes-native high-performance distributed LLM inference framework - a well-lit path for anyone to serve at scale, with the fastest time-to-value and competitive performance per dollar for most models across most hardware accelerators. With llm-d, users can operationalize gen AI deployments with a modular, high-performance, end-to-end serving solution that leverages the latest distributed inference optimizations like KV-cache aware routing and disaggregated serving, co-designed

Keywords: inference latency llm performance vllm

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The behavior of LLMs in hiring decisions: Systemic biases in candidate selection

Source: news.ycombinator.com | By David Rozado

Published on: 2025-06-25 05:27:20

Previous studies have explored gender and ethnic biases in hiring by submitting résumés/CVs to real job postings or mock selection panels, systematically varying the gender or ethnicity signaled by applicants. This approach enables researchers to isolate the effects of demographic characteristics on hiring or preselection decisions. Building on this methodology, the present analysis evaluates whether Large Language Models (LLMs) exhibit algorithmic gender bias when tasked with selecting the mos

Keywords: candidate candidates gender llms models

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The Behavior of LLMs in Hiring Decisions: Systemic Biases in Candidate Selection

Source: news.ycombinator.com | By David Rozado

Published on: 2025-06-25 20:27:20

Previous studies have explored gender and ethnic biases in hiring by submitting résumés/CVs to real job postings or mock selection panels, systematically varying the gender or ethnicity signaled by applicants. This approach enables researchers to isolate the effects of demographic characteristics on hiring or preselection decisions. Building on this methodology, the present analysis evaluates whether Large Language Models (LLMs) exhibit algorithmic gender bias when tasked with selecting the mos

Keywords: candidate candidates gender llms models

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AI Chatbots Are Becoming Even Worse At Summarizing Data

Source: futurism.com | By Unknown

Published on: 2025-06-28 00:00:29

Ask the CEO of any AI startup, and you'll probably get an earful about the tech's potential to "transform work," or "revolutionize the way we access knowledge." Really, there's no shortage of promises that AI is only getting smarter — which we're told will speed up the rate of scientific breakthroughs, streamline medical testing, and breed a new kind of scholarship. But according to a new study published in the Royal Society, as many as 73 percent of seemingly reliable answers from AI chatbots

Keywords: ai chatgpt llm llms scientific

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The unreasonable effectiveness of an LLM agent loop with tool use

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-30 15:33:44

The Unreasonable Effectiveness of an LLM Agent Loop with Tool Use 2025-05-15 by Philip Zeyliger My co-workers and I have been working on an AI Programming Assistant called Sketch for the last few months. The thing I've been most surprised by is how shockingly simple the main loop of using an LLM with tool use is: def loop(llm): msg = user_input() while True: output, tool_calls = llm(msg) print("Agent: ", output) if tool_calls: msg = [ handle_tool_call(tc) for tc in tool_calls ] else: msg = us

Keywords: agent llm loop sketch tool

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The Unreasonable Effectiveness of an LLM Agent Loop with Tool Use

Source: news.ycombinator.com | By Unknown

Published on: 2025-07-01 01:33:44

The Unreasonable Effectiveness of an LLM Agent Loop with Tool Use 2025-05-15 by Philip Zeyliger My co-workers and I have been working on an AI Programming Assistant called Sketch for the last few months. The thing I've been most surprised by is how shockingly simple the main loop of using an LLM with tool use is: def loop(llm): msg = user_input() while True: output, tool_calls = llm(msg) print("Agent: ", output) if tool_calls: msg = [ handle_tool_call(tc) for tc in tool_calls ] else: msg = us

Keywords: agent llm loop sketch tool

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I've never been so conflicted about a technology

Source: news.ycombinator.com | By Unknown

Published on: 2025-07-01 12:45:32

Of course, I’m referring to AI (LLMs, specifically). A few weeks ago, I downloaded Cursor, an AI-based code editor, and I’m astonished at how good it is. I asked it a few questions about this blog’s codebase, and it responded quickly with detailed and accurate answers. I then prompted it to make a few changes, and it did what I wanted with minimal effort. I’ve since deleted Cursor because I already pay for GitHub Copilot. I primarily use Copilot as an advanced auto-complete tool, and it’s part

Keywords: ai content llms models web

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Show HN: Min.js style compression of tech docs for LLM context

Source: news.ycombinator.com | By Unknown

Published on: 2025-07-01 20:40:04

llm-min.txt: Min.js Style Compression of Tech Docs for LLM Context 🤖 📜 Table of Contents What is llm-min.txt and Why is it Important? If you've ever used an AI coding assistant (like GitHub Copilot, Cursor, or others powered by Large Language Models - LLMs), you've likely encountered situations where they don't know about the latest updates to programming libraries. This knowledge gap exists because AI models have a "knowledge cutoff" – a point beyond which they haven't learned new informatio

Keywords: ai documentation llm min txt

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Show HN: Min.js Style Compression of Tech Docs for LLM Context

Source: news.ycombinator.com | By Unknown

Published on: 2025-07-02 01:40:04

llm-min.txt: Min.js Style Compression of Tech Docs for LLM Context 🤖 📜 Table of Contents What is llm-min.txt and Why is it Important? If you've ever used an AI coding assistant (like GitHub Copilot, Cursor, or others powered by Large Language Models - LLMs), you've likely encountered situations where they don't know about the latest updates to programming libraries. This knowledge gap exists because AI models have a "knowledge cutoff" – a point beyond which they haven't learned new informatio

Keywords: ai documentation llm min txt

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EM-LLM: Human-Inspired Episodic Memory for Infinite Context LLMs

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-30 23:49:18

EM-LLM: Human-inspired Episodic Memory for Infinite Context LLMs This repository contains a version of the code for EM-LLM, published in ICLR 2025: [openreview link]. Quick Links Overview While typical LLMs struggle with processing extensive contexts, the human brain excels at organising and retrieving experiences spanning a lifetime. In this work, we introduce EM-LLM, an architecture that integrates key aspects of human episodic memory and event cognition into LLMs with no fine-tuning, enab

Keywords: context em llm memory tokens

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Hallmark Exits Peacock: Here's a Free Alternative for Fans

Source: cnet.com | By See Full Bio

Published on: 2025-07-09 00:00:03

After three years, the programming deal between Hallmark and Peacock is now over. All of your favorite holiday movies, small-town romances and low-stakes murder mysteries are no longer available on the NBC-owned streamer. Now where can you watch all that Christmas movie goodness? We have the answer, and it won't cost you a dime. Have you ever heard of Hoopla? It's a digital app containing all sorts of entertainment — audiobooks, podcasts, movies, TV shows, music and manga, to name more than a f

Keywords: hallmark hoopla library plus sign

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Why do LLMs have emergent properties?

Source: news.ycombinator.com | By Wayne Joubert

Published on: 2025-07-12 05:07:00

Large language models display emergence behaviors: when the parameter count is scaled to a certain value, suddenly the LLM is capable of performing a new task not possible at a smaller size. Some say the abruptness of this change is merely a spurious artifact of how it is measured. Even so, many would like to understand, predict, and even facilitate the emergence of these capabilities. The following is not a mathematical proof , but a plausibility argument as to why such behavior should not be

Keywords: bit budget llm new training

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As an experienced LLM user, I don't use generative LLMs often

Source: news.ycombinator.com | By Unknown

Published on: 2025-07-19 17:22:40

Lately, I’ve been working on codifying a personal ethics statement about my stances on generative AI as I have been very critical about several aspects of modern GenAI, and yet I participate in it. While working on that statement, I’ve been introspecting on how I myself have been utilizing large language models for both my professional work as a Senior Data Scientist at BuzzFeed and for my personal work blogging and writing open-source software. For about a decade, I’ve been researching and deve

Keywords: code llm llms prompt use

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Why Google Gemini’s Pokémon success isn’t all it’s cracked up to be

Source: arstechnica.com | By Unknown

Published on: 2025-07-19 17:29:08

Earlier this year, we took a look at how and why Anthropic's Claude large language model was struggling to beat Pokémon Red (a game, let's remember, designed for young children). But while Claude 3.7 is still struggling to make consistent progress at the game weeks later, a similar Twitch-streamed effort using Google's Gemini 2.5 model managed to finally complete Pokémon Blue this weekend across over 106,000 in-game actions, earning accolades from followers, including Google CEO Sundar Pichai.

Keywords: claude game gemini llm pokémon

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Hallmark and Peacock Call It Quits. Here's How to Get Your Romance Fix for Free

Source: cnet.com | By See Full Bio

Published on: 2025-07-19 23:29:02

Hallmark's three-year deal with Peacock has ended. The brand's entire programming lineup featuring all your favorite Christmas movies and charming romance tales can no longer be viewed on the NBC-owned streamer. What if I told you that you could access it all at no cost? Say hello to Hoopla. The digital app offers loads of content for all ages (audiobooks, podcasts, movies, TV shows, music, classes and manga, to name more than a few) to enjoy for free, thanks to your public library. When it co

Keywords: bingepass hallmark hoopla library sign

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Fullmetal Alchemist Has Been Transmuted Into a WebToon

Source: gizmodo.com | By Justin Carter

Published on: 2025-07-20 16:30:28

If you’ve found yourself thinking about Fullmetal Alchemist lately and considering a re-read, WebToon’s got you covered. The updated take of Hiromu Arakawa’s shonen classic will come to the digital comics platform, fully colored and formatted for vertical scrolling. The aim is to make it more accessible and expand its reach, and joins other notable IP like DC Comics and Dropout’s Dimension 20 in coming to WebToon in recent years. Yongsoo Kim, WebToon’s global head, called Fullmetal ” the kind o

Keywords: alchemist arakawa fullmetal story webtoon

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Not everything needs an LLM: A framework for evaluating when AI makes sense

Source: venturebeat.com | By Sharanya Rao

Published on: 2025-07-20 12:35:00

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Question: What product should use machine learning (ML)? Project manager answer: Yes. Jokes aside, the advent of generative AI has upended our understanding of what use cases lend themselves best to ML. Historically, we have always leveraged ML for repeatable, predictive patterns in customer experiences, but now, it’s possible to leverage a form of ML even without an

Keywords: customer inputs llms ml outputs

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