Research Papers - SiliconNoon (Page 14)

The Guardrails

DeepMind opens an AGI institute, starting with readable thinking

Two safety documents landed hours apart today, and they disagree about what a lab owes the public — one wants AI's inner monologue preserved, the other wants that monologue taken less seriously. Google DeepMind launched the DeepMind Institute, a research platform for essays on how AGI will change society — and its first batch opens by arguing the industry must stop trading away the ability to read what its models are thinking.

The Frontier

LimiX-2 tops three tabular benchmarks, chasing causes over scores

A Tsinghua-linked lab takes the table-model crown the day after Prior Labs wore it, storage gets an undo button for rogue agents, and a builder's 90-day memory test finds the failure where nobody was looking. Wenzhun Intelligence and Tsinghua University's Cui Peng group released LimiX-2, a 400-million-parameter foundation model for structured data that now sits first on all three major tabular leaderboards.

The Guardrails

Bessent denies the labs a liability waiver and pushes open models

Two AI-policy answers landed in the same Washington hearing: what the frontier labs cannot have, and what the Treasury Secretary wants built instead. Treasury Secretary Scott Bessent told the House Financial Services Committee on Tuesday that the government should not give AI companies a liability exemption, and that the United States needs to build more open models of its own.

The Frontier

Today in AI — September 15, 2026

Tuesday's through-line was where the model lives. Shanghai AI Lab put a 744-billion-parameter agent on Hugging Face with no announcement, MediaTek and Honor put one inside the phone's silicon and operating system, and Google handed its own engineers a rival's coder. The infrastructure bill for all of it also came due: gas forecasts, a stacked data center, and a cloud region AWS says it cannot rebuild. Models & Research * Shanghai AI Laboratory posted a 744-billion-parameter agentic model…

The Guardrails

FTC chair is 'deeply suspicious' of the labs' antitrust ask

Washington got two answers on AI policy within a day: the administration's competition chief pushed back on the industry's safety-for-antitrust trade, and OpenAI told Congress it will take a mandate it once argued against. FTC Chairman Andrew Ferguson said "everyone should be deeply suspicious" of AI companies that come to Washington asking for new regulations and an antitrust exemption at the same time.

The Arena

Salesforce and Nvidia ship Koa, a reasoning model for Agentforce

Two stories on the same question this afternoon: what happens to frontier-lab pricing when the enterprise stack stops renting reasoning by the token. Plus a security layer for the robot fleet. Salesforce debuted Koa, a reasoning model it built with Nvidia on top of the open-weight Nemotron base, and says it will handle the multi-step thinking inside Agentforce that used to be sent out to Claude or ChatGPT.

The Guardrails

Google DeepMind safety researcher quits, says AI 'could kill us all'

The pacing fight just picked up a witness from inside Google's lab, Britain's government put itself on record about listening, and someone finally ran the accounting on what the data centers have to earn back. Google DeepMind's AGI safety team produced its first public exit note, and it landed in the middle of the industry's loudest argument.

The Frontier

StepFun ships five voice models and takes two global No. 1 spots

A Chinese lab just shipped the whole voice stack in one afternoon — and the pacing fight in Washington got a very public answer from Nvidia's CEO. StepFun released five StepAudio 3 models on the same day, and two of them now sit at the top of Artificial Analysis's speech leaderboards. StepAudio 3 Realtime, ASR, TTS, Gen and Music went live on StepFun's open platform Tuesday, covering everything from full-duplex conversation to music generation.

The Frontier

Frontier agents flunked two NeurIPS papers — graded by the authors

Two very different pictures of where agents actually are today: still failing at the top of AI research, and already handling real work inside a car cockpit and ByteDance's enterprise stack. A new study turned frontier agents loose on two unpublished NeurIPS 2026 submissions, gave each six days and thousands of dollars of compute, then had the papers' original authors grade the output.

The Frontier

Shanghai AI Lab ships a 744B agentic model with no announcement

The lab that spent last week talking about science as the next programming just put a frontier-class agent on Hugging Face without a press release — and the weights, not the blog post, are the argument. Shanghai AI Laboratory has posted Atria Dawn Preview, a 744-billion-parameter Mixture-of-Experts agentic model, under the MIT license on Hugging Face and ModelScope — with no announcement, no launch post, and no paper.

The Arena

Palantir and Nvidia move to restrict Claude over data fears

The AI slowdown fight is drowning out a quieter story: some of the labs' biggest enterprise customers are starting to walk back. And a former president just told Democrats to make AI safety their opening wedge. Palantir, Nvidia and Booz Allen Hamilton are prepared to restrict or drop frontier AI models unless Anthropic and OpenAI guarantee they will not misuse company intellectual property, according to a report that spread across Reuters and The Information.

The Frontier

Sakana trains 1000-layer networks with no backpropagation

A paper out of Sakana AI this week takes the oldest objection to local learning and answers it where it bites hardest — depth. Meanwhile the slowdown debate got its most concrete moment yet, on speakerphone. Sakana AI's PC-ALM is the first layer-local training method shown to work on networks up to 1000 layers deep, according to work published by the lab and posted to arXiv.

See all