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Siemens launches AI engineering agent to automate PLC coding and industrial workflows
Siemens has launched the Eigen Engineering Agent, its purpose-built AI for automation engineering, now generally available. The Eigen Engineering Agent represents a new class of industrial AI product: one that no longer just generates suggestions but instead uses multi-step reasoning and self-correction to carry out tasks autonomously. Unlike generic AI tools, the Eigen Engineering Agent […]
Lumentum Holdings Inc. (LITE): Light-Based AI Networking Is New Big Thing
Prediction: The Nasdaq Will Hit New All-Time Highs This Year. This Is the Best Artificial Intelligence (AI) Growth Stock to Own When It Does
General AI
2 Major AI Companies Are About to Report Earnings. Here's Why Investors Should Tune In
These two closely followed AI companies are set to report their latest results, and investors will be watching closely to see if their latest numbers justify their premium valuations.
Deezer says 44% of new music uploads are AI-generated, most streams are fraudulent
AI tracks account for a small fraction of Deezer streams, and most are demonetized for fraud.
It’s not just one thing — it’s another thing
This sentence construction ("It's not just this — it's that") has become so common in AI-generated writing that it's no longer just a clue that a piece of writing may be synthetic — it's almost a guarantee.
Google Expands TPU Push As Demand Surges, Targets AI Inference Market
Rising adoption from Anthropic and Meta highlights growing demand for TPUs as AI shifts toward inference workloads
Fortnite developers can make AI characters now — just don’t try to date them
Following last year's AI-powered Darth Vader in Fortnite that swore in a re-creation of James Earl Jones' voice, Epic Games is now letting Fortnite creators experiment with a new "conversations" tool to create AI-powered characters that players can talk and interact with. "Instead of authoring dialogue trees for characters in your islands, conversations transforms an NPC into an AI-powered character capable of unscripted dialogue and interactions with players, like a quest giver or narrator," Epic says. "You define who the character is with simple prompts-how they think, what they know, and how they behave-and then select a voice that match … Read the full story at The Verge.
AI coding startup Cursor seeks $2 billion in new funding
Andreessen Horowitz is set to co-lead the round, with Nvidia and Thrive Capital also expected to participate
Adobe fights AI disruption of its own business model with new enterprise agent platform
The software giant is responding to growing pressure from AI-native competitors with a new enterprise agent platform. At the same time, the company is looking for its next chief executive. The article Adobe fights AI disruption of its own business model with new enterprise agent platform appeared first on The Decoder.
Google plans nearly two million new AI chips as it turns to Marvell for custom designs
Google is in talks with chip designer Marvell Technology to develop two new specialized chips for its data centers, according to The Information, citing two sources. The article Google plans nearly two million new AI chips as it turns to Marvell for custom designs appeared first on The Decoder.
Salesforce Announces AI Initiative and Calls It 'Headless 360'
Article URL: https://gizmodo.com/salesforce-announces-huge-ai-initiative-and-calls-it-headless-360-2000748243 Comments URL: https://news.ycombinator.com/item?id=47829523 Points: 4 # Comments: 0
NSA spies are reportedly using Anthropic’s Mythos, despite Pentagon feud
NSA is said to be using Anthropic's restricted Mythos AI model.
CEO and CFO suddenly depart AI nuclear power upstart Fermi
The startup, co-founded by former U.S. Energy Secretary Rick Perry, has faced headwinds with its AI campus in Texas.
Tech CEOs Think AI Will Let Them Be Everywhere at Once
Mark Zuckerberg and Jack Dorsey have different visions for how to use AI for management purposes, but both imagine a system of heightened control.
TSMC Earnings, New N3 Fabs, The Nvidia Ramp
TSMC's earnings suggest that the company's leadership is not truly bought into the AI growth story.
[D] It seems that EVERY DAY there are around 100 - 200 new machine learning papers uploaded on Arxiv
Only counting those categorized as cs.LG. I'm sure there are multiple other subcategories with even more ML papers uploaded such as cs.AI, and math.OC How are you keeping up with the research in this field? submitted by /u/NeighborhoodFatCat [link] [comments]
Nvidia’s Jensen Huang says AI assistants will act more like overbearing managers rather than job destroyers: ‘They’ll be micromanaging you’
Jensen Huang, the CEO of $4.8 trillion tech giant Nvidia, says AI will help humans explore space, be better in their jobs, and live more cost-effectively.
Deezer says 44% of songs uploaded to its platform daily are AI-generated
Article URL: https://techcrunch.com/2026/04/20/deezer-says-44-of-songs-uploaded-to-its-platform-daily-are-ai-generated/ Comments URL: https://news.ycombinator.com/item?id=47835928 Points: 1 # Comments: 0
Has cosmic philosophy conjectures infiltrated AI?
Article URL: https://medium.com/@f9121212/has-cosmic-philosophy-conjectures-infiltrated-ai-15559d03b8e9 Comments URL: https://news.ycombinator.com/item?id=47835752 Points: 1 # Comments: 0
Show HN: Evading an AI SOC with Sable from Vulnetic
Article URL: https://blog.vulnetic.ai/evading-an-ai-soc-with-sable-from-vulnetic-fad12376995c Comments URL: https://news.ycombinator.com/item?id=47834805 Points: 1 # Comments: 0
Most AI ‘memory’ systems are just better copy-paste
submitted by /u/BrightOpposite [link] [comments]
AI news from 200+ sources
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Silicon Valley has forgotten what normal people want
The long-term risks of the All-In Podcast, illustrated. | Image: Cath Virginia / The Verge, Turbosquid, Getty Images One of the most mortifying things about knowing a lot of techies is listening to them tell me excitedly about some very important discovery that they believe they have made. Recently, I ran into an acquaintance of mine, who began talking my ear off about an amazing discovery he'd made with LLMs. Knowledge, it turns out, is structured into language! You could put one word into ChatGPT and it might understand what you wanted, or make up a word and see if it understood what you meant! These amazing new tools have revealed that the English corpus contains so much about its speakers! He concluded that LLMs are a discovery on par with writing. … Read the full story at The Verge.
built my first AI agent yesterday
So I've been putting this off for months because every tutorial made it sound like you need a PhD and a startup budget to even begin. Turns out that's bullshit. Started yesterday at 2pm with literally just OpenAI's API and a Python script. No frameworks, no fancy vector databases, just me trying to make something that could answer questions about my company's support docs. First attempt was embarrassing. The thing would confidently tell customers we sold motorcycles (we don't, we make accounting software). But I kept going. By 9pm I had something that actually worked. Like, genuinely helpful responses that pulled the right info from our knowledge base. The secret wasn't some complex architecture, it was just understanding the basic flow. You feed the user question to a search function that finds relevant docs. Those docs get stuffed into a prompt with the original question. Send it all to GPT. Done. Obviously this is the kiddie pool version and I'm already hitting walls (the thin
New Local LLM Rig: Ryzen 9700X + Radeon R9700. Getting ~120 tok/s! What models fit best?
Hi ! I just finished building a workstation specifically for local inference and wanted to get your thoughts on my setup and model recommendations. •GPU: AMD Radeon AI PRO R9700 (32GB GDDR6 VRAM) •CPU: AMD Ryzen 7 9700X •RAM: 64GB DDR5 •OS: Fedora Workstation •Software: LM Studio (Vulkan backend), wanna test LLAMA •Performance: Currently hitting a steady ~120 tok/s on simple prompts. (qwen3.6-35b-a3b) What is the largest model architecture you recommend running comfortably? Should I be focusing on Q4_K_M quantizations ? submitted by /u/jsorres [link] [comments]
Google launches generative UI standard for AI agents
Google's A2UI 0.9 is a framework-agnostic standard that lets AI agents generate UI elements on the fly, tapping into an app's existing components across web, mobile, and other platforms. The article Google launches generative UI standard for AI agents appeared first on The Decoder.
Show HN: SkillCatalog, a Git-native skill manager for AI coding tools
AI coding tools like Claude Code, Cursor, and Codex read instructions from files on disk: .claude/skills/, .cursor/skills/, .agents/skills/. These files shape how each tool behaves. On a team of ten engineers working across several repositories, managing them by hand breaks down fast. I built SkillCatalog to solve this without a SaaS dependency. Skills live in Git repositories the team already controls. The desktop app provides authoring, organization, and delivery on top of Git. Access control is Git access. There is no server to run and no data leaves the machine unless you push it. The model is different from Microsoft's APM, which takes a package-manager approach (declare in apm.yml, everyone installs the same set). I think skills are closer to editor preferences than packages: there is a shared team baseline, but individuals layer their own selections on top. A project profile might install the team's backend bundle for everyone, while one engineer adds a personal stack for perfor
C++ CuTe / CUTLASS vs CuTeDSL (Python) in 2026 — what should new GPU kernel / LLM inference engineers actually learn?[D]
For people just starting out in GPU kernel engineering or LLM inference (FlashAttention / FlashInfer / SGLang / vLLM style work), most job postings still list “C++17, CuTe, CUTLASS” as hard requirements. At the same time NVIDIA has been pushing CuTeDSL (the Python DSL in CUTLASS 4.x) hard since late 2025 as the new recommended path for new kernels — same performance, no template metaprogramming, JIT, much faster iteration, and direct TorchInductor integration. The shift feels real in FlashAttention-4, FlashInfer, and SGLang’s NVIDIA collab roadmap. Question for those already working in this space: For someone starting fresh in 2026, is it still worth going deep on legacy C++ CuTe/CUTLASS templates, or should they prioritize CuTeDSL → Triton → Mojo (and keep only light C++ for reading old code)? Is the “new stack” (CuTeDSL + Triton + Rust/Mojo for serving) actually production-viable right now, or are the job postings correct that you still need strong C++ CUTLASS skills to get hire
Robotics
Nvidia and partners showcase AI-driven manufacturing systems at Hannover Messe 2026
Nvidia and a broad ecosystem of industrial partners are showcasing the latest advances in AI-driven manufacturing at Hannover Messe 2026, highlighting how artificial intelligence is beginning to reshape engineering, factory operations, and robotics deployment at scale. The event, running April 20-24 in Hannover, Germany, brings together companies including Siemens, SAP, ABB, Dassault Systèmes, Microsoft and […]
Alabama Selects EnforceAir Counter-Drone Technology for Gameday Security
The University of Alabama selects D-Fend Solutions’ EnforceAir system to protect campus airspace, research infrastructure, and athletic events. The University of Alabama has selected D-Fend Solutions as its counter-drone technology supplier. The university deployed D-Fend’s EnforceAir system to protect campus operations, critical infrastructure, and major events including football games at Bryant-Denny Stadium. Counter-Drone Technology Addresses Massive Drone Activity The […] The post Alabama Selects EnforceAir Counter-Drone Technology for Gameday Security appeared first on DRONELIFE.