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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished 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
Find related items on AmazonPublished on: 2025-07-25 04:00:22
Adrienne Bresnahan/Getty Images Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to move beyond generic AI responses and leverage their unique knowledge bases, RAG bridges general AI capabilities and domain-specific expertise. Hundreds, perhaps thousands, of companies are already using RAG AI services, with adoption accelerating as the technology matu
Keywords: ai bloomberg data llms rag
Find related items on AmazonPublished on: 2025-07-30 17:31:21
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models (dLLMs). While most attention has focused on autoregressive models like GPT, dLLMs offer unique advantages. Giving them strong reasoning skills could unlock new efficiencies
Keywords: autoregressive d1 dllms models reasoning
Find related items on AmazonPublished on: 2025-08-01 20:09:41
Security researchers have discovered a highly effective new jailbreak that can dupe nearly every major large language model into producing harmful output, from explaining how to build nuclear weapons to encouraging self-harm. As detailed in a writeup by the team at AI security firm HiddenLayer, the exploit is a prompt injection technique that can bypass the "safety guardrails across all major frontier AI models," including Google's Gemini 2.5, Anthropic's Claude 3.7, and OpenAI's 4o. HiddenLay
Keywords: ai hiddenlayer llms model security
Find related items on AmazonPublished on: 2025-08-09 19:24:37
Recent breakthroughs in reasoning-focused large language models (LLMs) like OpenAI-o1, DeepSeek-R1, and Kimi-1.5 have largely relied on Reinforcement Learning with Verifiable Rewards (RLVR), which replaces human annotations with automated rewards (e.g., verified math solutions or passing code tests) to scale self-improvement. While RLVR enhances reasoning behaviors such as self-reflection and iterative refinement, we challenge a core assumption: Does RLVR actually expand LLMs' reasoning capabil
Keywords: llms models pass reasoning rlvr
Find related items on AmazonPublished on: 2025-08-09 16:48:23
Why there are no emergent properties in Large Language Models. We heard lot about emergent properties of Large Language Models (LLMs) last year. I will share with you my thoughts, and some other scientists, of why there are no emergent properties and especially why the assumed critical value that these so-called emergent properties are based upon is not substantial. The excitement about emergent properties started with a paper by [1], where the authors show that scaling LLMs beyond a specific
Keywords: 10 arxiv emergent large llms
Find related items on AmazonPublished on: 2025-08-12 09:28:06
The skill of the future is not 'AI', but 'Focus' If you frequent Hacker News regurlarly, you have likely noticed the buzz around engineers using AI (specifically Large Language Models, or LLMs) to tackle Computer Science problems. I want to be clear: I’m not against LLMs. LLMs are incredibly powerful tools, and can be a huge boon to engineers. They can automate repetitive tasks, generate code snippets, help with brainstorming, assist in debugging, … and this can frees up engineers’ time and m
Keywords: engineers focus llms problems solving
Find related items on AmazonPublished on: 2025-08-09 00:48:07
Download a print-friendly version of this article. Across the Lab, much of the work being done on AI is focused on developing new models to interpret scientific data. But Dan O’Malley, a coder in Earth and Environmental Sciences, is harnessing the power of existing large language models (LLMs) to translate and modernize useful codes. Specifically, he and his 20-person team have a goal to demonstrate that AI is capable of translating some of the tens of millions of lines of Lab code written in F
Keywords: ai code llms malley models
Find related items on AmazonPublished on: 2025-09-04 05:12:32
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Weaponized large language models (LLMs) fine-tuned with offensive tradecraft are reshaping cyberattacks, forcing CISOs to rewrite their playbooks. They’ve proven capable of automating reconnaissance, impersonating identities and evading real-time detection, accelerating large-scale social engineering attacks. Models, including FraudGPT, GhostGPT and DarkGPT, retail for
Keywords: cisco fine llms models tuning
Find related items on AmazonPublished on: 2025-09-06 23:55:20
Disclaimer: The views and opinions expressed in this blog are entirely my own and do not necessarily reflect the views of my current or any previous employer. This blog may also contain links to other websites or resources. I am not responsible for the content on those external sites or any changes that may occur after the publication of my posts. End Disclaimer image credit: Not Studio Ghibli There is only one thing worse than being imitated, and that is not being imitated. - Coco Chanel A
Keywords: ghibli image llms studio things
Find related items on AmazonPublished on: 2025-09-15 09:39:00
In context: The constant improvements AI companies have been making to their models might lead you to think we've finally figured out how large language models (LLMs) work. But nope – LLMs continue to be one of the least understood mass-market technologies ever. But Anthropic is attempting to change that with a new technique called circuit tracing, which has helped the company map out some of the inner workings of its Claude 3.5 Haiku model. Circuit tracing is a relatively new technique that le
Keywords: answer claude different llms model
Find related items on AmazonPublished on: 2025-09-13 16:22:29
Watch the program live on YouTube here! Chatbots based on large language models (LLMs), like ChatGPT, answer sophisticated questions, pass professional exams, analyze texts, generate everything from poems to computer programs, and more. But is there genuine understanding behind what LLMs can do? Do they really understand our world? Or, are they a triumph of mathematics and masses of data and calculations simulating true understanding? Join CHM, in partnership with IEEE Spectrum, for a fundamen
Keywords: ai debate ieee llms spectrum
Find related items on AmazonPublished on: 2025-09-22 08:14:51
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new framework called METASCALE enables large language models (LLMs) to dynamically adapt their reasoning mode at inference time. This framework addresses one of LLMs’ shortcomings, which is using the same reasoning strategy for all types of problems. Introduced in a paper by researchers at the University of California, Davis, the University of Southern California and
Keywords: llm llms meta metascale reasoning
Find related items on AmazonPublished on: 2025-10-10 20:30:00
Hill Street Studios/Getty Images It's increasingly difficult to avoid artificial technology (AI) as it becomes more commonplace. A prime example is Google searches showcasing AI responses. AI safety is more important than ever in this age of technological ubiquity. So as an AI user, how can you safely use generative AI (Gen AI)? Also: Here's why you should ignore 99% of AI tools - and which four I use every day Carnegie Mellon School of Computer Science assistant professors Maarten Sap and Sh
Keywords: ai data llms models responses
Find related items on AmazonPublished on: 2025-10-12 08:20:01
Getty Images/J Studios It's increasingly difficult to avoid artificial technology (AI) as it becomes more commonplace. A prime example is Google searches showcasing AI responses. AI safety is more important than ever in this age of technological ubiquity. So as an AI user, how can you safely use generative AI (Gen AI)? Also: Gemini might soon have access to your Google Search history - if you let it Carnegie Mellon School of Computer Science assistant professors Maarten Sap and Sherry Tongshu
Keywords: ai data llms models responses
Find related items on AmazonPublished on: 2025-10-16 16:02:02
Large Language Models (LLMs) are rapidly saturating existing benchmarks, necessitating new open-ended evaluations. We introduce the Factorio Learning Environment (FLE), based on the game of Factorio, that tests agents in long-term planning, program synthesis, and resource optimization. FLE provides open-ended and exponentially scaling challenges - from basic automation to complex factories processing millions of resource units per second. We provide two settings: Lab-play consisting of 24 stru
Keywords: automation fle llms open play
Find related items on AmazonPublished on: 2025-10-18 21:37:55
Hang in there while we get back on track Hint: Try typing apples are great , apples.com , what are apples? , or slice apples into the input field below. Beyond Autocomplete: Introducing TypeLeap UI/UX Dynamic Interfaces that Anticipate Your Needs TLDR; TypeLeap UIs detect your intent as you type, not just predict words. Using LLMs, TypeLeap understands what you want to do and dynamically adapts the interface in real-time. Instead of passive text input, TypeLeap offers proactive, intent-dr
Keywords: intent llms suggestions ui user
Find related items on AmazonPublished on: 2025-10-17 06:40:00
Most generative AI models nowadays are autoregressive. That means they’re following the concept of next token prediction, and the transformer architecture is the current implementation that has been used for years now thanks to its computational efficiency. This is a rather simple concept that’s easy to understand - as long as you aren’t interested in the details - everything can be tokenized and fed into an autoregressive (AR) model. And by everything, I mean everything: text as you’d expect, b
Keywords: ar humans like llms models
Find related items on AmazonPublished on: 2025-10-21 20:35:00
Diffusion models are interesting I stumbled across this tweet a week or so back where this company called Inception Labs released a Diffusion LLM (dLLM). Instead of being autoregressive and predicting tokens left to right, here you start all at once and then gradually come up with sensible words simultaneously (start/finish/middle etc. all at once). Something which worked historically for image and video models is now outperforming similar-sized LLMs in code generation. The company also claims
Keywords: better dllms generated llm start
Find related items on AmazonPublished on: 2025-10-31 08:15:58
Hallucinations in code are the least dangerous form of LLM mistakes A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination—usually the LLM inventing a method or even a full software library that doesn’t exist—and it crashed their confidence in LLMs as a tool for writing code. How could anyone productively use these things if they invent methods that don’t exist? Hallucinations in code are the least harmful hallucination
Keywords: code hallucinations llm llms ve
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