Two open-weight models you can run, and open weights hit 75% of OpenRouter tokens

Techpositive +0.6#open-source #model-release #economics #data

Moonshot released Kimi K3.1 Pro as open weights and Ricursive released a 65B dense model trained for $32M, while a Reddit usage chart says open-weights labs now carry over 75% of OpenRouter tokens.

What they showed / shipped

Kimi K3.1 Pro is out on Hugging Face: 2.8T total parameters with 104B active, a 1M-token context, text and image input, and an OpenAI-compatible API. On Moonshot's own card it scores 65.7 on Terminal-Bench 4.0 against 57.9 for Claude Fable 5.1 and 58.2 for GPT-6 Astra, but trails on Terminal-Bench-Science and HLE (Hugging Face).
Ricursive's Ripple-65B Preview is a dense 65B model on Hugging Face, Together AI, GMI Cloud and OpenRouter. It claims 80.52 on TerminalBench 2.1, a US open-weight best, for $32M of total R&D, and says it runs on a DGX Spark (Ricursive).
A r/LocalLLaMA post says DeepSeek alone was 53% of the 27 trillion tokens on OpenRouter yesterday, with open-weights labs over 75% combined. It is a screenshot from one router, not the whole market (r/LocalLLaMA).
📌 On the radar: RTX 5090 street prices are reported above $9,000, which is the catch for running these at home (Around Prague).

Why it matters

Ripple is the one you could realistically run locally, and the $32M number is the teachable part. Every benchmark here is the maker's own table.

Sources

Try today: ChatGPT makes GIFs, Runway Dev plugs into Claude Code, Perplexity search at $0.001

Mediapositive +0.7#image-gen #video-gen #tooling #agents

Three things you can use now: animated GIFs and reference images in ChatGPT, a Runway plugin that lets Claude Code add video and image generation to an app, and a cheap grounded-search API.

What they showed / shipped

OpenAI shipped ChatGPT Images 2.6 with GIFs and reference images, and says two new image models are coming to the API with 50% faster generation (@OpenAI, The Verge).
Runway Dev is now a Claude Code plugin: describe what your app should generate and it writes the Runway API integration (@runwayml).
Perplexity folded Fast Search into its Decisions API, at $0.001 per search request and $0.02 per 1M input tokens, for batch decisions grounded in the web (@AravSrinivas).
Claude Code background subagents now cost less usage: status lines are written by Haiku 5.5 from short notes instead of re-reading the whole conversation, about 99% cheaper per update, per a user post (@minchoi).

Why it matters

Runway Dev and the Decisions API are both one-line adds to an app you already have.

Sources

Data centers lost at the ballot box in 33 local measures

Policynegative -0.4#policy #infrastructure #public-perception #data

Early midterm results show voters passing local limits on data centers almost everywhere they were on the ballot, and the buildout is now a visible election issue.

What they showed / shipped

Per Tom's Hardware, citing the Data Centers on the Ballot tracker, 33 measures restricting data centers had won, six more were leading, and one had failed, with five unreported (Tom's Hardware).
Voters also recalled the mayor and two council members in Piqua, Ohio, and the mayor of Yukon, Oklahoma, over earlier support for data center bans, per the same report.
The report says only three developments totaling 2.3 GW have been delayed by 300-plus local bans so far, while 38 GW is still expected online by 2027. So the votes may bite on future sites more than current ones (Tom's Hardware).
Coverage and fallout: The Verge, MIT Technology Review on Texas, and CNBC on AI stocks sliding.

Why it matters

Local permitting, not chips, is the risk to watch for compute supply and cloud prices.

Sources

Agents reality check: 4 Uber rides, but a $30k ad budget at 3.5x revenue

AImixed 0#agents #economics #data #public-perception

Uber says third-party AI agents booked four rides last quarter, while Perplexity says its agent ran a $30k Meta ad budget for a brand and beat the agency.

What they showed / shipped

Uber disclosed that third-party AI agents arranged 4 rides in Q3 and about 500 Uber Eats orders in the week of Halloween, out of 320 million rides and deliveries (The Verge, TechCrunch).
Perplexity says Computer managed $30k of Meta ad spend for Get Maine Lobster and delivered 3.5x revenue and 63% higher ROAS than the brand's usual ads, covering creative analysis, ad production and media buying. It is Perplexity's own case study (@perplexity_ai).
a16z's Assistant Benchmark guest says trust is the top fear among power users, in 22% of about 3,600 group-chat messages (@a16z).

Why it matters

Agents work on closed tasks with a clear metric like ads, and barely register on open consumer tasks like booking a ride.

Sources

Claude mapped a bacterial vault particle in days, and hand-wrote a network's weights

Sciencepositive +0.6#science #medicine #agents #claude

Anthropic's biology team used Claude to solve a first 3D structure of a vault particle from bacteria in days instead of months, and a separate post says Claude wrote a classifier's weights by hand.

What they showed / shipped

Anthropic says Claude helped map the first 3D structure of a bacterial vault particle, a barrel-shaped protein complex discovered in 1986 with an unknown function. Manual structure work would have taken weeks to months and took days. It also shows similar bacterial and viral proteins can assemble into vaults, and the write-up lists Claude's simple mistakes (@AnthropicAI).
A r/singularity post says Claude wrote a neural network's weights by hand, with no training, to detect fake legal citations, scoring 97.8% on test against 94.6% for a conventionally trained model. No primary source seen (r/singularity).

Why it matters

The honest part is the limits section, a rare lab write-up that lists the model's errors.

Sources

Nothing says its first AI device ships in December with no screen

Scienceneutral +0.1#hardware #ar-wearables #embodied-ai #hype-cycle

Carl Pei says Nothing's first AI-native product ships next month, has no new screen and 'couldn't have been an app', and that chasing 'the iPhone of AI' is a dead end.

What they showed / shipped

Pei posted that the product is 'a tool' with personality, and gave no form factor. Earlier rumors point to AI smart glasses, one pair without cameras (The Verge, TechCrunch).
Context: The Verge lists earlier screen-free AI gadgets (Humane AI Pin, the Friend) and says OpenAI is reportedly working on an AI speaker with Jony Ive. A separate Verge column is skeptical of Amazon's Bee wearable (The Verge).

Why it matters

Another bet that AI lives in a dedicated object, not an app.

Sources

OpenAI pipeline patched 948 Linux kernel bugs for $1.2M in one run

Policymixed +0.2#safety #agents #infrastructure #benchmarks

OpenAI says an autonomous pipeline with an unreleased cyber model found, exploited and patched 948 local privilege escalation bugs in the Linux kernel in a single run.

What they showed / shipped

OpenAI's security researchers say the run validated and generated patches for 948 Linux kernel privilege escalation vulnerabilities at a total API cost of $1.2 million, which is about $1,270 per bug by simple division (@OpenAI).
It uses an upcoming model that is not released, and the claim is OpenAI's own, with no independent check yet (r/singularity).
An IEEE Spectrum piece on HN frames the wider story as AI forcing the industry to pay off decades of technical debt (IEEE Spectrum).

Why it matters

The cost per bug is the number that shows how cheap this kind of audit is getting.