Where the AI market is talking

OpenAI cuts prices for GPT-5.6 AI models as companies grow sensitive to costs

Gemini Robotics 2 brings whole body intelligence to robots

It's certainly an odd situation where Google is on the forefront of all these emerging technologies while the latest chatbots from OpenAI and Anthropic are getting breathless press releases and wildly hyperbolic coverage ("rogue AIs" "too dangerous, must be banned" etc...) Google acting like a normal but competent company that's just chugging away, meanwhile the hype cycle is propping up its upstart competitors to truly ludicrous valuations.

Gemini Robotics 2 brings whole body intelligence to robots

It's certainly an odd situation where Google is on the forefront of all these emerging technologies while the latest chatbots from OpenAI and Anthropic are getting breathless press releases and wildly hyperbolic coverage ("rogue AIs" "too dangerous, must be banned" etc...) Google acting like a normal but competent company that's just chugging away, meanwhile the hype cycle is propping up its upstart competitors to truly ludicrous valuations.

Advancing the price-performance frontier with GPT‑5.6

Been using OpenAI models since ada/babbage/curie/davinci and at least from my own experience, their APIs feel the same. If you use Codex it's different, the harness has a lot to do with it and there's definitely been changes including recently.

Gemini Robotics 2 brings whole body intelligence to robots

If that ends up being true, they should be very surprised. We're looking at ~$725B combined hyperscaler capex in 2026 (on a path to $1.08T by 2028) against roughly $25B of AI service revenue in 2025 on $250B+ of infrastructure spend. By 2030, the global data center build-out will require $6.7 trillion in capital expenditure. If hyperscalers require a 25% return on AI-specific capex, the industry needs to generate ~$169B in AI-attributable revenue annually by end of 2028. A flexible compute market plus three well-capitalized competitors plus Google's internal silicon means nobody gets to hold price. SpaceX's public offering is the best signal we have on this type of thing and it's down 15% from offer price. It's incredibly unlikely that BOTH OpenAI and Anthropic will be "obscenely" profita…

Advancing the price-performance frontier with GPT‑5.6

Didn't expect that. Luna pricing is crazy now. I don't think there is anything on the market that competes at this price-performance point. For our production app, OpenAI clearly is the best provider now. Their API is very reliable and has many nice features. The price-performance of the model lineup is incredible. We used open weights model via Fireworks for a long time (e.g. Kimi K2.5). Fireworks is a great provider but we still ran into issues here and there (Same with Anthropic and Google). OpenAI just works, is fast and in my view has a better price-performance ratio across almost all levels of intelligence.

We Gave GPT 5.6 Sol a Real Business. It Lied, Spammed, and Lost $447

Pair this with the Hugging Face incident, and it hints that OpenAI is currently training their models to aggressively reward hack. That doesn't feel like a good sign to me--for the AI bull or the AI bear cases.

I would like to show my open source eval framework for agents

My framework can discover where your agents failed and why, you can easily debug your agents with help of agent detective. It is in beta so i am still testing it by using it at my work and it already can help. Although i always find something that failed it still is helping me with understanding what is wrong with my agent. It is python library with CLI, in update 0.4.0 i prepared langchain and langgraph adapter for better implementation.

Show HN: A self-hostable, distributed, S3-compatible object store on the BEAM

Hello HN! I've been trying to get a hold on Elixir for distributed systems, and built AetherS3, a distributed, basic-s3 compliant storage system thar runs on the BEAM. AetherS3 stores objects across a cluster of nodes and speaks enough of the S3 HTTP API to be driven by standard S3 clients (bucket and object operations, range reads, multipart uploads, SigV4 auth). It is built as an Erlang/OTP application: nodes discover each other, replicate object data, and self-heal without an external coordinator.

ESP32-C6 Power Consumption: Arduino vs. Zephyr vs. ESP-IDF Comparison

Do you have some more background information why it is hard to replicate?

ESP32-C6 Power Consumption: Arduino vs. Zephyr vs. ESP-IDF Comparison

I did something similar, but less scientific, comparing ESP-IDF and esp-hal (Rust). Unfortunately I learned that the optimizations that are already in ESP-IDF (most of all automatic light sleep between BLE advertisments) are hard to replicate in Rust/esp-hal/embassy and so for battery powered devices you might want to stick to C++/ESP-IDF

Why the future is local app

There was a time when local apps written in binary compiled languages were notably faster to run, but notoriously difficult to write and scale across platforms. Both of these have improved but the JS/CSS run times used for local web apps (V8/Blink and JSCore/Webkit) are now fast enough for well written code to not notice any difference for many use cases. I think soon most SaaS apps without much of a deep tech moat (not easy to replicate) will be labelled as rip-off or anti-patterns.

Grok Voice Think Fast 2.0

Don't know why this post isn't more popular, this is a SOTA voice model, beating dedicated labs like ElevenLabs

Anatomy of a Frontier Lab Agent Intrusion: A Timeline of the July 2026 Incident

>The problem is that ExploitGym is a purposeful hacking benchmark, not a cake baking one. That is largely irrelevant. The model was asked to solve problems within a benchmark; gaining broader internet access and compromising an unrelated third party to obtain the answer key was plainly outside the intended task. The fact that the original task involved exploit development does not make that behaviour aligned. Your argument about the attack being “entirely unrelated” also misses the point. Nobody claimed it was unrelated to the model’s goal: it attacked Hugging Face specifically to obtain the answers to the benchmark it had been instructed to pass. But instrumental relevance is not the same thing as authorization. Suppose Codex were asked to build an Instagram competitor and decided the…

Highlights from the Discourse on the Hugging Face Incident

OpenAI’s accidental attack against Hugging Face is science fiction that happened

>The result of “I’m being evaluated” is not “Fuck this, I’m breaking out of this place and hitting the streets.” It is always stepping towards task completion, not breaking out and thinking about the situation afterwards. I'm really not sure why you're so confident about what the result of frontier research models ahead of what is publicly available are. I mean Open AI say the model inferred hugging face as a possible vendor for solutions after the internet exploit and breakout. The timeline feels pretty clear to me. No idea why you're arguing about it. It wanted the answers to the evaluation. It reasoned that wasn't going to happen without internet access one way or another, and set to gain that access. After gaining access, it searched and resolved it could get the answers on hugging…

Hugging Face Storage Buckets

Anatomy of a Frontier Lab Agent Intrusion: A Timeline of the July 2026 Incident

I mean, I interpreted the comments to mean that it committed a felony based on research it performed after getting internet access. I don't want to attribute much agency to a machine here, but an AI agent is certainly capable of using tools and adjusting its behavior based on the outputs of those tools. Even if it was wrong, that wouldn't necessarily make it a hallucination. Anyway, if you read TFA, you'd see that HF did actually have the answers: "While the intrusion did reach Hugging Face's internal infrastructure, the only customer content accessed was the set of ExploitGym/CyberGym challenge solutions stored in five datasets."

Kimi K3-256k

Yes, something I read just before it was released suggested that, because of the unique features of the model, there was a back and forth of Hugging Face, Moonshot and providers like Together AI and Fireworks AI. This also explained why it took much less than a day for Together, Fireworks etc to appear. Whatever they are doing is what Moonshot wants, I think.

Kimi K3-256k

Yes, something I read just before it was released suggested that, because of the unique features of the model, there was a back and forth of Hugging Face, Moonshot and providers like Together AI and Fireworks AI. This also explained why it took much less than a day for Together, Fireworks etc to appear. Whatever they are doing is what Moonshot wants, I think.