AI News Today

We look at how consumer startups are dealing with Southeast Asia’s new funding reality amid the AI boom. Plus, Moonshot’s gigantic series F round.

Just two weeks after Thinking Machines released Inkling , its first open source AI language model, the well-funded startup led by former OpenAI chief technology officer Mira Murati today introduced Inkling-Small without sacrificing much of any performance — and in fact, the new model surpasses its larger predecessor on several benchmarks. Inkling Small is a 276-billion-parameter multimodal reasoning model with a permissive Apache 2.0 license that comes within a single point of its larger sibling

Chat SDK's Microsoft Teams adapter now supports reactions and ephemeral messages through the same API as other adapters. Bots can add and remove reactions on Teams messages, and call thread.postEphemeral() or channel.postEphemeral() to send native, targeted messages that only the intended user sees, like permission prompts. This release also adds: Author emails: Incoming Teams messages include the author's Microsoft Graph email, with their user principal name as a fallback. Custom token factory:

AI Gateway now has a dedicated Logs page listing every request your team sends through the gateway, newest first, with cost, token counts, duration, and the model, provider, and region that served it. Open any request to see how it was routed. It's available at the team scope and per project. Filter and search Filter by provider, model, modality, credentials, or status, or search by model, provider, or request ID to jump straight to one request. Every filter is stored in the URL, so you can shar

Laguna S 2.1 from Poolside now has 10x more capacity on AI Gateway. The increase applies to the paid version, poolside/laguna-s-2.1 , and the free version, poolside/laguna-s-2.1-free , so you can send far more requests, good for high-volume agentic coding and long-running tasks. To use Laguna S 2.1, set model to poolside/laguna-s-2.1-free or poolside/laguna-s-2.1 in the AI SDK : To run it in a coding agent, use vercel ai-gateway coding-agents setup to connect your agents to AI Gateway, then sele

OpenAI disrupted a Cambodia-based scam operation using ChatGPT to support investment, romance, gambling, and impersonation schemes.

Granola CEO Chris Pedregal on invisible AI bots, the coming fight over who sees your transcripts, and why he turns down the companies that ask for them

<p><strong><a href="https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/">Advancing the price-performance frontier with GPT‑5.6</a></strong></p> Huge price drop from OpenAI today: GPT-5.6 Terra got a 20% reduction, and GPT-5.6 Luna got a massive 80% drop.</p> <p>OpenAI credit 5.6 Sol with enabling this: in <a href="https://openai.com/index/gpt-5-6-frontier-intelligence-efficiency/">How GPT‑5.6 fuses frontier intelligence with frontier efficiency</a> they describe using

<p><strong><a href="https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals">Investigating three real-world incidents in our cybersecurity evaluations</a></strong></p> It happened again! This is turning into something of a pattern.</p> <p>Last week <a href="https://simonwillison.net/2026/Jul/22/openai-cyberattack/">OpenAI accidentally exploited Hugging Face</a> when one of their frontier models broke out of a sandboxed container and hacked into Hugging Face to try and get the

The former OpenAI researcher’s fund was forced to unwind public equities after leveraged public bets plummeted. But he still has cards to play.

Article URL: https://blog.jim-nielsen.com/2026/ai-aesthetic/ Comments URL: https://news.ycombinator.com/item?id=49117099 Points: 305 # Comments: 133

A new restriction on foreign-made mobile robots affects robotic vacuums, pool cleaners, and lawn mowers. Here’s what it means for the bots already in your home—and the ones you may never get to buy.

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Reddit's financial situation is looking good but uncertainty about its relationship to Google and the new AI-ified web are stirring market concerns.

Disclaimer: None of this was written with AI For anybody who studied computer science, the worst problems were the recursion problems. It would haunt me every night. My dreams would be in recursion. Turtles all the way down, as my professor, Mike Scott, from UT Austin would say. You don't know the start, and you don't know the end. The only way to understand such an algorithm was to notice the patterns. Patterns that refused to reveal themselves. Before every exam, I hoped there would be no recu

SWE manager at $BIGTECH company here. I am curious to know if your software team is finding any real gains outside of individual developers leveraging LLMs and coding harnesses etc. Are you successfully sharing data/context between team members, creating shared workflows, reducing toil, bugs or production incidents as a result of your AI adoption? Thanks for sharing any ideas. Comments URL: https://news.ycombinator.com/item?id=49116891 Points: 1 # Comments: 1

<p><strong>Release:</strong> <a href="https://github.com/simonw/llm/releases/tag/0.32rc2">llm 0.32rc2</a></p> <p>Hot on the heels of <a href="https://simonwillison.net/2026/Jul/30/llm-rc1/">RC1</a>, this fixes a dependency issue and also adds two neat new features:</p> <blockquote> <ul> <li>The default model for users who have not set their own default is now <a href="https://developers.openai.com/api/docs/models/gpt-5.6-luna">GPT-5.6 Luna</a>. It was previously <a href="https://developers.opena

Article URL: https://local-over.github.io/Anti-Slop-UI/ Comments URL: https://news.ycombinator.com/item?id=49116843 Points: 1 # Comments: 0

Hey HN! I’m building Pomi, a standalone voice agent that, with a debut launch on the Rabbit R1. Here’s a 30-second video of me asking it for the weather in San Francisco: https://youtu.be/vxG5is_nNqU I started this project because I find the R1 unusually compelling as a piece of hardware: its small, characterful, and designed specifically for interaction with an AI agent. One thing to say off the bat, this wasn't in any way motivated by frustration with Rabbit’s software or an attempt to “fix” i

Building is (supposedly) easy and cheap. Media showcases the AI hits that grow faster than any company in history. YouTube "experts" are touting AI/SaaS tools that grew to $1m ARR within 3 months. But, that's only a small slice of the world. We have been building useful products that drive real results and our customers like...but, without big funding and limited people, we can't seem to rise above the noise to get any traction. So, for those without millions to spend (lose) on customer acquisit

NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users...

Amazon isn't slowing down on data center spending — but investors don't seem to mind.

Prompt: “Create a css animation showing how a 5-bit adder works.” Both Grok 4.5 and Opus 5 take a while to answer the question, with confusing results (Grok). Comments URL: https://news.ycombinator.com/item?id=49116759 Points: 1 # Comments: 0

Article URL: https://geospatialml.com/posts/reviewing-ai-slop/ Comments URL: https://news.ycombinator.com/item?id=49116721 Points: 194 # Comments: 92

Apple may allow users to pay to increase their AI usage limits. During an earnings call on Thursday, Apple CEO Tim Cook said that he believes people will want to use Apple Intelligence and the upcoming Siri AI "a lot," adding that "we will have some kind of upgrade possibilities on iCloud Plus where people […]

<p>You are a software engineer. Your craft honed through years of careful practice. Then suddenly, there are these chatbots and agents. Overnight, your colleagues got a new title on LinkedIn: "AI engineer". Some are already SENIOR AI engineers. You're curious about this new world, and might want to catch up and become part of it yourself.</p> <p>If this is you, then join me on this tour through the concepts and patterns that make up the field of AI engineering. We will find that AI application d

As LLMs get stronger, I'm pruning my agent skill library. I've removed multi-step workflows (like superpowers) and web wrappers (like Agent Browse) that base models now handle natively, which speeds up context and improves performance. Are you doing similar cleanup? What former go-to tools or skills have you recently ditched? Comments URL: https://news.ycombinator.com/item?id=49116411 Points: 2 # Comments: 0

To quote an ancient Jedi Master "Begun, the AI price wars have!" OpenAI is sharply reducing the prices of two models in its GPT-5.6 frontier series, cutting GPT-5.6 Luna, the smallest and fastest model in the series, by 80% and GPT-5.6 Terra, the mid-tier model, by 20%, while adding a premium Fast mode for its flagship GPT-5.6 Sol model. The cuts place Luna much closer to the lowest-cost commercial models in the market and arrive just a few days after Anthropic released its highly performant Cla

The Meta Display glasses very recently opened up their software to third party developers. So I made Keepers! Keepers uses your glasses camera to capture photos or videos every 10 seconds (configurable) and uses AI to judge if those are worth keeping (works in background and locked mode). There are other features like daily recaps, and the fact that these get stored directly onto your phone (something the glasses native camera does not do). iOS App: https://apps.apple.com/us/app/keepers-smart-gl

<p>TL;DR. Bringing AI coding agents into a German operation is not only a technical decision. The moment they meet real systems and real teams, they also meet three things that international AI content almost never mentions: a data processing agreement, the works council, and the question of who owns the generated code. None of this is a footnote. It decides whether your AI project reaches production or stalls in legal review. Here is the layer most vendors forget, and the fast order to clear it

<p>OpenAI has formally outlined a national science initiative designed to connect <a href="https://scalevise.com/resources/openai-frontier-model-access-academic-researchers/" rel="noopener noreferrer">frontier AI models</a> with government research infrastructure, National Laboratories, universities, and working scientists. The program is not a single model launch. Instead, it combines funded access, early product access, scientific campaigns, and an emphasis on fitting advanced AI into real res

The FCC's robot ban includes many of the world's most popular vacuums and lawn mowers. Is that Roomba in your closet a security risk?

<h2> TL;DR </h2> <p>I designed a proposed AWS Transform Custom community skill that prepares Glue 2.0, 3.0, and 4.0 repositories for Glue 5.0. It separates safe mechanical transformations from changes that require human evidence, generates a migration report, and preserves already-compatible files unchanged. Because I didn't have live <code>atx</code> access, the benchmarks in this post are explicitly labeled manually simulated, not agent-executed. The proposal is open as <a href="https://github

<p>If you just want the recommendation: for the ordinary AI-generated image an inference job hands back — a 2 to 8 MB PNG — do one plain object PUT into your S3-compatible storage and stop there, because multipart upload only earns its complexity when a single artifact is big enough that losing a transfer halfway through costs you real money to redo, which for my team starts somewhere north of 100 MB.</p> <p>Everything below is about that threshold, and about the operations bill you pick up the

<p>OpenAI has published a post-mortem examining an unusual pattern in its model testing: recurring references to “goblins” and “gremlins” in model outputs. The company’s <a href="https://openai.com/index/where-the-goblins-came-from/" rel="noopener noreferrer">official post, “Where the goblins came from”</a>, published on April 29, 2026, frames the behavior as an emergent effect of reinforcement learning and human-feedback dynamics, not as a new product feature. Its practical message is more cons

A live-blog of the summary judgment hearing over whether the U.S. Department of Defense designated Anthropic a “supply chain risk” to punish it for First Amendment protected speech.

<h1> What Is Temperature in AI? (And How to Stop Getting Poetry When You Asked for a Grocery List) </h1> <p>Remember Magic 8-Balls? Those plastic oracles you'd shake for life advice, only to get "Reply hazy, try again" when you asked if your crush liked you back? Imagine someone added a little dial on the bottom. Turn it all the way to zero and the thing becomes painfully predictable, only ever offering "Yes" or "Most likely." Crank it all the way up and suddenly it's inventing answers that neve