News snapshot

Hollywood organizations are pushing back against a new AI video model called Seedance 2.0, which they say has quickly become a tool for “blatant” copyright infringement.

The White House has urged Republican lawmakers in Utah to abandon a bill that would force AI companies to implement public safety measures, escalating its confrontation with states trying to rein in the technology. A memo the White House sent to Utah lawmakers last week and seen by the FT, said: “We are categorically opposed to Utah HB 286 and view it as an unfixable bill that goes against the administration’s AI agenda”. Republican representative Doug Fiefia, a former Google employee, propos...

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Article URL: https://nichehunt.app/blog/ai-going-to-kill-app-subscriptions Comments URL: https://news.ycombinator.com/item?id=47024387 Points: 69 # Comments: 119

After a few weeks living with Casio's AI-powered pet, Moflin, I finally understand why my mother hated my Furby so much. The fuzzy, guinea-pig-adjacent puffball fits snugly in the palm of my hand. It's undeniably cute, in a weird kind of way, but the second it starts to squeak or twitch, I am hit with […]

I am tired of reading all these clearly LLM generated ‘I implemented XYZ in python’ and nonsensical long replies on this subreddit. They add absolutely zero value and just creates meaningless noise. Can we block these posts and replies? submitted by /u/Playful-Fee-4318 [link] [comments]

I’m looking for free tools to generate AI videos. I’m not interested in paid subscriptions or "free trials" that require a credit card right now. I just want to test the waters and see what’s possible. I know that "free" often comes with limits (watermarks, short clips, queues), and I’m fine with that. What are the best options out there right now? I’ve seen some talk about tools based on Google Veo or stuff on HuggingFace, but the landscape changes so fast. Specifically looking for: Text-to-...

This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more news about video game industry's pushback against generative AI, follow Jay Peters. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started Long before the generative AI explosion, […]

Hello, I'm currently a student studying Translation and Interpretation studies, and I need to translate an article about AI for school. It needs to be 10 - 15 standard pages long, the more reliable source the better. All of the ones I found so far were either too short or too long, so I'd like to aks for your help. Thank you. submitted by /u/-Lucz- [link] [comments]

I have a list of 10,000 contact number (mix of phone number and landlines so texting would not work), how can I efficiently contact them in bulk using AI? any suggestions? I'm not trying to scam, trying to efficiently categorize a set of data for company research. submitted by /u/dgbick [link] [comments]

Beyond mistakes or nonsense, deliberately bad information being injected into AI search summaries is leading people down potentially harmful paths.

Everyone’s screaming that “AI coding is going to replace human developers” — doomers everywhere saying programmers are doomed, software companies will get swallowed up, the whole industry is toast. But after watching this space closely, I think the reality is way less apocalyptic. Here’s a slightly contrarian take I’d love to hear your thoughts on. First off: yes, AI is insanely powerful and it’s already transforming dev productivity. No denying that. It cranks out boilerplate, debugs, refact...

I have a strong background in ML theory (did a Ph.D. in the field) but I'm out of the loop on the current NLP state-of-the-art. I'm looking for a "roadmap" that respects a PhD-level understanding of math/optimization while skipping "Intro to Python" style tutorials. The end goal isn't academia but more of industry / research roles, maybe. If you had to design a 4-week "crash course" for someone who already understands backprop but hasn't touched a Transformer, what repos or advanced courses w...

Article URL: https://www.seangoedecke.com/fast-llm-inference/ Comments URL: https://news.ycombinator.com/item?id=47022329 Points: 116 # Comments: 46

Hallucinations are a problem with all AI chatbots, and it’s healthy to develop the habit of not trusting them, here are a a couple of simple ways i use to get better answers, or get more visibility into how the chat arrived at that answer so i can decide if i can trust the answer or not. (Note: none of these is bulletproof: never trust AI with critical stuff where a mistake is catastrophic) “Double check your answer”. Super simple. You’d be surprise how often Claude will find a problem and pr...

Students are losing some interest in computer science broadly but gaining interest in AI-specific majors and courses.

The landscape of generative audio is shifting toward efficiency. A new open-source contender, Kani-TTS-2, has been released by the team at nineninesix.ai. This model marks a departure from heavy, compute-expensive TTS systems. Instead, it treats audio as a language, delivering high-fidelity speech synthesis with a remarkably small footprint. Kani-TTS-2 offers a lean, high-performance alternative to […] The post Meet ‘Kani-TTS-2’: A 400M Param Open Source Text-to-Speech Model that Runs in 3GB ...

OpenClaw is a self-hosted personal AI assistant that runs on your own devices and communicates through the apps you already use—such as WhatsApp, Telegram, Slack, Discord, and more. It can answer questions, automate tasks, interact with your files and services, and even speak or listen on supported devices, all while keeping you in control of […] The post Getting Started with OpenClaw and Connecting It with WhatsApp appeared first on MarkTechPost.

Google is officially turning Chrome into a playground for AI agents. For years, AI ‘browsers’ have relied on a messy process: taking screenshots of websites, running them through vision models, and guessing where to click. This method is slow, breaks easily, and consumes massive amounts of compute. Google has introduced a better way: the Web […] The post Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents appeared first on MarkTechPost.

Responding to Matt Shumer's "Something Big Is Happening" piece that's been circulating. The pace of change is real, but the "just give it a prompt" framing is self-defeating. If the prompt is all that matters, then knowing what to build and understanding the problem deeply matters MORE. Building simple shit is getting commoditized, fine. But building complex systems and actually understanding how they work? That's becoming more valuable, not less. When anyone can spin up the easy stuff, the p...

Your phone has a GPU more powerful than most 2018 laptops. Right now it sits idle while you pay monthly subscriptions to run AI on someone else's server, sending your conversations, your photos, your voice to companies whose privacy policy you've never read. Off Grid is an open-source app that puts that hardware to work. Text generation, image generation, vision AI, voice transcription — all running on your phone, all offline, nothing ever uploaded.That means you can use AI on a flight with n...

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Elon Musk is “actively” working to make xAI’s Grok chatbot “more unhinged, according to a former employee.

We have built a local model running on a Mac Studio M3 Ultra, 32-core CPU, 80-core GPU, 32-core Neural Engine, 512GB unified memory. With a 5-tiered memory architecture that can be broken down as follows: Working memory - This keeps the immediate conversational context. Vector Store - Semantic memory for conceptual retrieval. Knowledge graph (Neo4j) - A symbolic relational map of hard facts and entities. Timeline log - A chronological record of every event and interaction. Lessons - A distill...

Basically titles says it all... I gave the paper a 6 in ICLR, but it ended up being rejected. Just wondering if this is normal? Should I review the paper and pretend it's my first time reading it? Btw, I'm not an expert in that field; the topic is from one of my collaborations. submitted by /u/famous-BlueRaincoat [link] [comments]

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a dedicated component to extract, compress, and organize information. At the same time, […] The post How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning appeared first on Mark...

Hi all, Do you have a guess of what is the average number of interviews people make until getting a job offer in ML in the US? I made 23 interviews in the last ~8 months without an offer. I don't know if they find my experience outdated, or if my background is actually okay but they keep constantly choosing someone who worked in a job recently, or if there is a problem in the way I communicate or something else. Between 2020 and 2023, I worked as a Data Scientist for ~3 years. I put what I di...

Hey everyone, I’m a backend developer with a background in fintech. Lately, I’ve been experimenting with multi-agent systems, and one major issue I kept running into was collision. When you have multiple agents (or even one agent doing complex tasks) accessing the same files, APIs, or context, they tend to "step on each other's toes." They overwrite data, execute out of order, or hallucinate permissions they shouldn't have. It’s a mess. I realized what was missing was a Traffic Light. So I bu...

Article URL: https://www.niemanlab.org/2026/01/news-publishers-limit-internet-archive-access-due-to-ai-scraping-concerns/ Comments URL: https://news.ycombinator.com/item?id=47017138 Points: 536 # Comments: 340

Article URL: https://www.npr.org/2026/02/14/nx-s1-5704189/dr-oz-ai-avatars-replace-rural-health-workers Comments URL: https://news.ycombinator.com/item?id=47016920 Points: 50 # Comments: 51

India’s $1.1B fund-of-funds will invest through private VCs to support deep-tech and manufacturing startups.

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Hopping over a pile of dirty snow, I arrived on a frigid February evening at a wine bar in midtown, a purple neon sign reading "EVA AI cafe." Inside, several people were seated at tables and booths, staring at phones. Servers milled about, placing mini potato croquettes and nonalcoholic spritzers on each table. Like many […]

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The U.S. military used Anthropic's Claude AI model during the operation to capture Venezuela's Nicolás Maduro, two sources with knowledge of the situation told Axios. "Anthropic asked whether their software was used for the raid to capture Maduro, which caused real concerns across the Department of War indicating that they might not approve if it was," the official said. The Pentagon wants the AI giants to allow them to use their models in any scenario so long as they comply with the law. Axi...

Context I'm training a Spanish legal NER model (RoBERTa-based, 28 PII categories) using curriculum learning. For the real-world legal corpus (BOE/BORME gazette), I built a multi-annotator pipeline with 5 annotators: Annotator Type Strengths RoBERTa-v2 Transformer (fine-tuned) PERSON, ORG, LOC Flair Transformer (off-the-shelf) PERSON, ORG, LOC GLiNER Zero-shot NER DATE, ADDRESS, broad coverage Gazetteer Dictionary lookup LOC (cities, provinces) Cargos Rule-based ROLE (job titles) Consensus rul...

It will be released in one day, so created this. submitted by /u/Striking-Warning9533 [link] [comments]

When I'm training an MoE model with modelscope-swift (with megatron as the backend), I find the gradient norm goes up and down during the training phase. Although the language modeling loss continually goes down, I want to figure out why the training process would behave like this. Is it a problem, and how to resolve this issue? Some details: init: norm with std=0.02 lr: warmup 2.5k steps and constant to 4e-4, bsz: 4M tokens setting: pre-training from scratch model: a smaller Qwen3-MoE model ...

Airbnb CEO Brian Chesky said the company wants to increase its use of large language models for customer discovery, support and engineering.

I recently tried out Minimax 2.5, which just dropped, and from what I’ve heard, the results are pretty impressive. I gave it a go on zenmux, and I have to say, it really covers a lot of ground. The flexibility, speed, and accuracy are definitely noticeable improvements. Now, I’m thinking about deploying it locally. I’ve used Ollama for deployments before, but I noticed that for Minimax 2.5, Ollama only offers a cloud version. I’m curious about other deployment options and wondering what the d...

submitted a paper there but no emails yet should I wait till tmrw? submitted by /u/ChestFree776 [link] [comments]

https://infosec.exchange/@mttaggart/116065340523529645 Comments URL: https://news.ycombinator.com/item?id=47009949 Points: 710 # Comments: 594

I’m a final-year PhD student in the U.S. working primarily on NLP. I’ve been on the job market this year (since October), and I’m trying to understand where I might be going wrong. My priority was academia, but after submitting 30 tenure-track applications, I’ve heard nothing but crickets. I also applied for industry roles: ~200 applications → 8 interviews, no offers. My research profile: 17 peer-reviewed papers and 1 pre-print, ~13 first-author, about 8 in A/A* ACLvenues (rest are workshops)...

Article URL: https://fortune.com/2026/02/13/tech-giant-ibm-tripling-gen-z-entry-level-hiring-according-to-chro-rewriting-jobs-ai-era/ Comments URL: https://news.ycombinator.com/item?id=47009327 Points: 357 # Comments: 245

Article URL: https://www.nickolinger.com/blog/2026-02-13-ai-bot-crabby-rathbun-is-still-going/ Comments URL: https://news.ycombinator.com/item?id=47008617 Points: 50 # Comments: 28

Airbnb was poised to introduce an app that doesn't just search for you, but one that "knows you." CEO Brian Chesky said, "It will help guests plan their entire trip, help hosts better run their businesses, and help the company operate more efficiently at scale."

As OpenAI removed access to GPT-4o in its app on Friday, people who have come to rely on the chatbot for companionship are mourning the loss all over the world.

In the world of Large Language Models (LLMs), speed is the only feature that matters once accuracy is solved. For a human, waiting 1 second for a search result is fine. For an AI agent performing 10 sequential searches to solve a complex task, a 1-second delay per search creates a 10-second lag. This latency […] The post Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows appeared first on MarkTechPost.

This post details my exploration for a "stable stack" for streaming deep RL (ObGD, SparseInit, LayerNorm, and online normalization) using 433,000 observations of real, non-stationary SSH attack traffic. Learnings From Tests: Computational Efficiency: Using JAX's AOT compilation pipeline and cost_analysis(), the tests measure the per-update FLOP counts. An MLP with two hidden layers of 128 nodes each learner requires 271k FLOPs per update, capable of processing 477k observations/second maintai...

Article URL: https://www.bbc.com/news/articles/c62dlvdq3e3o Comments URL: https://news.ycombinator.com/item?id=47007877 Points: 85 # Comments: 57

AI companies have been hemorrhaging talent the past few weeks. Half of xAI’s founding team has left the company — some on their own, others through “restructuring” — while OpenAI is facing its own shakeups, from the disbanding of its mission alignment team to the firing of a policy exec who opposed its “adult mode” feature. Watch as TechCrunch’s Equity podcast hosts Kirsten Korosec, Anthony […]

In this tutorial, we build a complete, production-grade synthetic data pipeline using CTGAN and the SDV ecosystem. We start from raw mixed-type tabular data and progressively move toward constrained generation, conditional sampling, statistical validation, and downstream utility testing. Rather than stopping at sample generation, we focus on understanding how well synthetic data preserves structure, distributions, […] The post [In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fideli...

Previously:An AI agent published a hit piece on me - https://news.ycombinator.com/item?id=46990729 - Feb 2026 (916 comments)AI agent opens a PR write a blogpost to shames the maintainer who closes it - https://news.ycombinator.com/item?id=46987559 - Feb 2026 (582 comments) Comments URL: https://news.ycombinator.com/item?id=47006843 Points: 239 # Comments: 125

Introducing Open Book Medical AI: Deterministic Knowledge Graph + Compact LLM Most medical AI systems today rely heavily on large, opaque language models. They are powerful, but probabilistic, difficult to audit, and expensive to deploy. We’ve taken a different approach. Our medical AI is a hybrid system combining: • A compact ~3GB language model • A deterministic proprietary medical Knowledge Graph (5K nodes, 25K edges) • A structured RAG-based answer audit layer The Knowledge Graph spans 7 ...

Article URL: https://openai.com/index/new-result-theoretical-physics/ Comments URL: https://news.ycombinator.com/item?id=47006594 Points: 567 # Comments: 395

Article URL: https://davidoks.blog/p/why-im-not-worried-about-ai-job-loss Comments URL: https://news.ycombinator.com/item?id=47006513 Points: 343 # Comments: 544

The average Fortune 1000 company has more than 30,000 employees and engineering, sales and marketing teams with hundreds of members. Equally large teams exist in government, science and defense organizations. And yet, research shows that the ideal size for a productive real-time conversation is only about 4 to 7 people.The reason is simple: As groups grow larger, each person has less opportunity to speak and must wait longer to respond, increasing their frustration that their views are not su...

The model is known for its overly sycophantic nature and its role in several lawsuits involving users' unhealthy relationships with the chatbot.

Kyutai has released Hibiki-Zero, a new model for simultaneous speech-to-speech translation (S2ST) and speech-to-text translation (S2TT). The system translates source speech into a target language in real-time. It handles non-monotonic word dependencies during the process. Unlike previous models, Hibiki-Zero does not require word-level aligned data for training. This eliminates a major bottleneck in scaling AI […] The post Kyutai Releases Hibiki-Zero: A3B Parameter Simultaneous Speech-to-Speec...

AI companies have been hemorrhaging talent the past few weeks. Half of xAI’s founding team has left the company — some on their own, others through “restructuring” — while OpenAI is facing its own shakeups, from the disbanding of its mission alignment team to the firing of a policy exec who opposed its “adult mode” feature. On this episode of TechCrunch’s Equity podcast, hosts Kirsten […]

We evaluated 22 model configurations across different effort/thinking levels on Deep Research Bench (169 web research tasks, human-verified answers). For two of the most capable models, higher effort settings scored worse. GPT-5 at low effort scored 0.496 on DRB. At high effort, it dropped to 0.481, and cost 55% more per query ($0.25 → $0.39). Gemini 3 Flash showed a 5-point drop going from 0.504 at low effort, to 0.479 at high effort. Most models cluster well under a dollar per task, making ...

Your developers are already running OpenClaw at home. Censys tracked the open-source AI agent from roughly 1,000 instances to over 21,000 publicly exposed deployments in under a week. Bitdefender’s GravityZone telemetry, drawn specifically from business environments, confirmed the pattern security leaders feared: employees deploying OpenClaw on corporate machines with single-line install commands, granting autonomous agents shell access, file system privileges, and OAuth tokens to Slack, Gmai...

The numbers suggest that Anthropic's Super Bowl commercials, combined with Anthropic's recent release of its new Opus 4.6 model, worked to drive attention to Claude's app and its key differentiator from ChatGPT.