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Nvidia Just Announced a Major Quantum Computing Development
The chipmaker is combining artificial intelligence (AI) with quantum computing.
OGMA – persistent memory and dual-brain AI, newcomer seeks pro feedback
The New Linux Kernel AI Bot Uncovering Bugs Is a Local LLM on Framework Desktop
General AI
Ask HN: Anyone want to collaborate on a local-first AI-based research assistant
Hi HN Community, I'm Venkatram, a sophomore who's on a mission to build a local alternative to proprietary third-party AI-based research assistants. The idea is to turn documents into researchable assets that contain as much as information as the original information does, but it's more reusable. Well, quite frankly, this is still under a WORK IN PROGRESS, so i'm still figuring on how it can be properly used, and I got to be honest here, i definitely need some help to build this, so if you wish, you are welcome! TlDR: NotebookLM, but Locally with your OWN AI Model Github: https://github.com/venkatram-s/gigabook-lm Comments URL: https://news.ycombinator.com/item?id=47914594 Points: 2 # Comments: 0
Microsoft Corporation (MSFT) Partners With Stellantis
Microsoft Corporation (NASDAQ:MSFT) is one of the Best Stocks to Buy While the Market Is Down. On April 16, Reuters reported that Microsoft Corporation (NASDAQ:MSFT) and Stellantis have entered a five‑year strategic partnership. As part of this collaboration, Stellantis will rely heavily on Microsoft’s cloud, AI, and cybersecurity expertise to modernize its digital and engineering […]
Under cover of trade truce with Trump, China expands economic pressure toolkit
Beijing is punishing those who shift supply chains from China, tightening rare earth licensing, banning foreign AI and cybersecurity tech and weighing curbs on its solar gear.
Nvidia Just Did This For the First Time Since October. Here's What Happens Next, According to History
Is Nvidia once again the ticket to an AI win?
UK departments at odds over energy demands of AI datacentres
Article URL: https://www.theguardian.com/technology/2026/apr/26/uk-departments-at-odds-over-energy-demands-of-ai-datacentres Comments URL: https://news.ycombinator.com/item?id=47915061 Points: 1 # Comments: 0
To buy this Bay Area home, you’ll need Anthropic equity
Someone’s offering an unusual deal for a 13-acre property in Mill Valley, just north of South Francisco.
![[Overcapacity] Factories Can No Longer Outrun AI](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/exponential-industry/6beeadc0-149c-4825-b746-1993c79a8caa.jpg)
[Overcapacity] Factories Can No Longer Outrun AI
Paid reads and analysis for "Factories Can No Longer Outrun AI"
![[AINews] DeepSeek V4 Pro (1.6T-A49B) and Flash (284B-A13B), Base and Instruct — runnable on Huawei Ascend chips](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/latent-space/827ea690-19bb-4616-85a9-cac721b882c1.png)
[AINews] DeepSeek V4 Pro (1.6T-A49B) and Flash (284B-A13B), Base and Instruct — runnable on Huawei Ascend chips
The prodigal Tiger returns... but is no longer the benchmarks leader.
Why Cohere is merging with Aleph Alpha
Canadian AI startup Cohere is taking over Germany-based Aleph Alpha with support from Lidl’s owner, Schwarz Group. With the blessing of their governments, the companies intend to offer a sovereign alternative to enterprises in an AI landscape dominated by American players.
Discord Sleuths Gained Unauthorized Access to Anthropic’s Mythos
Plus: Spy firms tap into a global telecom weakness to track targets, 500,000 UK health records go up for sale on Alibaba, Apple patches a revealing notification bug, and more.
'Too Dangerous to Release' Is Becoming AI's New Normal
submitted by /u/simrobwest [link] [comments]
Forecasting is Way Overrated, and We Should Stop Funding It
Summary EA and rationalists got enamoured with forecasting and prediction markets and made them part of the culture, but this hasn’t proven very useful, yet it continues to receive substantial EA funding. We should cut it off. My Experience with Forecasting For a while, I was the number one forecaster on Manifold. This lasted for about a year until I stopped just over 2 years ago. To this day, despite quitting, I’m still #8 on the platform. Additionally, I have done well on real-money prediction markets (Polymarket), earning mid-5 figures and winning a few AI bets. I say this to suggest that I would gain status from forecasting being seen as useful, but I think, to the contrary, that the EA community should stop funding it. I’ve written a few comments throughout the years that I didn’t think forecasting was worth funding. You can see some of these here and here. Finally, I have gotten around to making this full post. Solution Seeking a Problem When talking about forecasting, people of
AI Agency Marketplace
Everyone that’s started an AI Agency and struggling to get clients I want your opinion. Let’s say there was a website that let you sign up. It matched you with potential clients maybe 1 a week. When you’re matched it would be alongside 2-4 other agencies. You have to create a pitch deck for the company in question and hope they choose you. The company’s details and answered questions will be provided. Would that be helpful to you ? Would you use it alongside your current outreach ? Let me know ! submitted by /u/TechnologyTraining94 [link] [comments]
Higher precision or higher parameter count
I’m wondering if we take models of the same family (e.g qwen3.5 moes). And we compared ggufs that are of different core counts different quantizations but similar sizes. Which model would be better for tasks? If it varies I’m mostly interested in coding and tool calling. An example is qwen3.5 122b ud-iq2_xxs is 36.6gb and Qwen3.5 35b q8_0 is 36.9gb Which would be better at coding/tool calling? In spirit of the same question how interesting is it to run very large models like kimi 2.6 at 1bit precision vs smaller models at higher precisions. submitted by /u/redblood252 [link] [comments]
AI news from 200+ sources
Get Started FreeModels & Gen AI
Proposed New Test of AI Capabilities:)
When Microsoft can turn a fleet of LLMs loose on the Azure UX, and Google can do the same for the Google Adwords UX, and reduce their level of dreadfulness substantially, it will go a long way to showing that frontier models are as good as claimed. Comments URL: https://news.ycombinator.com/item?id=47911835 Points: 1 # Comments: 0
Meta Employee Tracking For AI Training Raises Privacy And Valuation Questions
Meta Platforms is rolling out computer tracking software to employees as part of its Model Capability Initiative to train AI agents on white collar tasks. The system records keystrokes, mouse movements, and screen activity with no opt out, raising internal concerns about privacy and digital surveillance. This internal AI data collection effort aims to support more capable automation tools for office work, potentially affecting Meta's culture and regulatory risk profile. For investors...
500 investment bankers review AI outputs and find none ready for client delivery
A new benchmark puts top models like GPT-5.4 and Claude Opus 4.6 to work on the kinds of tasks junior investment bankers handle every day. Not a single AI output was rated ready to send to a client; the results are too imprecise or flat-out wrong. Still, more than half of the bankers said they'd use the output as a starting point. The article 500 investment bankers review AI outputs and find none ready for client delivery appeared first on The Decoder.
Anthropic created a test marketplace for agent-on-agent commerce
In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.
updated the AI tools library, new tools, a whole new category, and a new home
been getting DMs asking about tools that don't fit the usual "AI coding assistant" box. so i finally did something about it. tolop.space (yes, new domain — more on that below) what's new: added Atoms :- multi-agent app builder where 7 AI roles (PM, engineer, architect, SEO specialist, data analyst, researcher, team lead) collaborate to build your product. has a genuine forever-free plan with 15 credits/day, not a time-limited trial. added Leadline :- finds Reddit posts where people are actively looking to switch tools or asking for recommendations, with AI-drafted replies included. starts at $9/month which is the cheapest Reddit lead tool i've found. but the one i'm most excited about is Transcrisper :- and it's the reason i added a whole new category. niche tools :- for single-purpose utilities that are completely free, do one thing well, and don't fit anywhere else. Transcrisper is a good example of what belongs there. free, unlimited audio/video transcription that runs entire
Built cross-model persistent memory - told GPT-5 Nano I live in Bahrain, asked Sonnet 4.6 where I live, it knew instantly
https://reddit.com/link/1svixo0/video/hgwrueuekdxg1/player No tricks, no copy-paste. Two completely different AI models, separate conversations - one remembers what the other was told. The way it works: every message gets embedded and stored. When you open a new chat with any model, your memory is injected into context automatically. GPT, Claude, Gemini, Grok and DeepSeek - they all share the same memory layer. So when I told GPT-5 Nano "I live in Bahrain" and then opened a fresh Claude Sonnet 4.6 conversation and asked "where do I live?" - it said "Based on your memory, you live in Bahrain 🇧🇭" Live on asksary.com now submitted by /u/Beneficial-Cow-7408 [link] [comments]
Does a HITL review UI for LLM outputs exist or do I have to build it myself?
Hello everyone, Working on a project where I rely on LLMs to handle certain tasks, I've implemented a basic HITL (Human in the Loop) pipeline where a human reviewer can approve or reject LLM-generated content based on a confidence percentage. When I started looking for existing tooling for this, I couldn't find anything that really fits. most of what comes up is data labeling software, which isn't quite what I need. What I'm looking for is something that: recieve json data renders some input fields for review, based on the data structure shows the source of truth side by side with the generated output, so the reviewer can edit stuff, correct them, and approve I've already built a basic version of this, but before going further I wanted to check, does anything like this exist off the shelf? this would save me some time. Thanks. submitted by /u/Several-Art-7186 [link] [comments]
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks
arXiv:2604.20987v1 Announce Type: new Abstract: Long horizon interactive environments are a testbed for evaluating agents skill usage abilities. These environments demand multi step reasoning, the chaining of multiple skills over many timesteps, and robust decision making under delayed rewards and partial observability. Games are a good testbed for evaluating agent skill usage in environments. Large Language Models (LLMs) offer a promising alternative as game playing agents, but they often struggle with consistent long horizon decision making because they lack a mechanism to discover, retain, and reuse structured skills across episodes. We present COSPLAY, a co evolution framework in which an LLM decision agent retrieves skills from a learnable skill bank to guide action taking, while an agent managed skill pipeline discovers reusable skills from the agents unlabeled rollouts to form a skill bank. Our framework improves both the decision agent to learn better skill retrieval and actio
Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs
arXiv:2604.21092v1 Announce Type: new Abstract: Integrating Large Language Models (LLMs) into complex software systems enables the generation of human-understandable explanations of opaque AI processes, such as automated task planning. However, the quality and reliability of these explanations heavily depend on effective prompt engineering. The lack of a systematic understanding of how diverse stakeholder groups formulate and refine prompts hinders the development of tools that can automate this process. We introduce COMPASS (COgnitive Modelling for Prompt Automated SynthesiS), a proof-of-concept self-adaptive approach that formalises prompt engineering as a cognitive and probabilistic decision-making process. COMPASS models unobservable users' latent cognitive states, such as attention and comprehension, uncertainty, and observable interaction cues as a POMDP, whose synthesised policy enables adaptive generation of explanations and prompt refinements. We evaluate COMPASS using two di
Robotics
Factories Can No Longer Outrun AI
This week: Hannover Messe 2026, Rapid + TCT, Google Cloud Next TPU, MMA Ops, humanoid marathons faster than humans, financeable nuclear projects, AI designs IoT hardware, cars, and planes.
The Strategic Value of Legacy Components in Automation
The narrative in modern manufacturing often centers on the cutting edge: AI-driven robotics, hyper-connected IIoT ecosystems, and autonomous logistics. While this rapid innovation drives the industry forward, it creates a stark contrast with the reality on the factory floor. In many facilities, the backbone of production remains robust, reliable hardware that has been running effectively […]
Business & Industry
Musk OpenAI Lawsuit Puts Microsoft AI Partnership And Governance Under Spotlight
Elon Musk's lawsuit against OpenAI, Microsoft, and Sam Altman is moving toward trial, challenging OpenAI's shift from nonprofit roots to a profit-driven structure. The case raises questions about Microsoft's role as a major OpenAI partner and investor, along with issues around governance and control in large AI collaborations. The outcome could influence how AI partnerships are structured and how regulators and the public view Big Tech involvement in advanced AI development. For Microsoft...