The Frontier

New models, papers, and benchmarks

DeepMind alumni's Inherent says its Faraday agent beats GPT-5.5 at reproducing research

The Frontier

DeepMind alumni's Inherent says its Faraday agent beats GPT-5.5 at reproducing research

A London lab founded by Google DeepMind alumni says its new agent, Faraday, outperformed Claude Opus 4.8 and GPT-5.5 at independently reproducing the findings of published scientific papers — and it did it on a 27B-parameter Qwen 3.6 model, a fraction of the frontier systems' size. Inherent emerged from stealth just weeks ago with a $50 million seed round, and this benchmark claim is its first real proof point. The company is upfront that the task was narrow: replication, not discovery. But tha

The Take — Sutton is right that frozen AI has a ceiling

The Frontier

The Take — Sutton is right that frozen AI has a ceiling

Richard Sutton, the reinforcement-learning pioneer who wrote "The Bitter Lesson," is one of the few people in AI whose contrarianism is worth taking seriously. But his most cited claim this week isn't his strongest. He is wrong to call synthetic data the industry's biggest mistake; he is right — and the field can't answer it — that an AI which stops learning the moment it ships has a hard ceiling on what it can ever become. Sutton, a 2024 Turing Award winner speaking on Sequoia Capital's Traini

vivo's 3B on-device model tops phone LLM chart, nears cloud scores

The Frontier

vivo's 3B on-device model tops phone LLM chart, nears cloud scores

A SuperCLUE benchmark released Friday found that a small model living entirely on a phone is competitive with the cloud. vivo's BlueLM 3.5 Nano 3B took the top spot on the group's on-device leaderboard with 89.86 points, edging past the field while scoring within a small margin of flagship cloud systems it wasn't even competing against. vivo's on-device BlueLM 3B topped SuperCLUE's phone-LLM chart — and nearly matched the big cloud models. The 3.5 Nano scored 89.86 in SuperCLUE's OnDevice run,

China's DeepSoma simulates whole brains inside real physical worlds

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China's DeepSoma simulates whole brains inside real physical worlds

Whole-brain emulation took a step from viral stunt to would-be platform on Saturday, and a tiny on-device model quietly showed phones can run serious AI fully offline. China's DeepSoma is building a whole-brain simulation platform that drops a complete biological brain into a real, changing world. The startup Zhiyue Space Intelligence unveiled the system as a direct challenge to Eon Systems, the San Francisco neurotech firm that grabbed headlines in March by loading an adult fruit fly's connect

Study: agent skills work as a playbook, not a knowledge base

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Study: agent skills work as a playbook, not a knowledge base

A team from Princeton and UC San Diego ran more than 8,000 agent trials to pin down why the small, pre-written instruction bundles now baked into most coding agents actually help — and where they quietly stop working. A new study finds that "skills" help AI agents mainly by giving them a reliable process to follow, not by supplying them with missing facts. Across 8,135 controlled runs, the researchers attribute most of the payoff to what they call procedural anchoring: a skill takes a noisy tas

Sutton: synthetic data is 'a huge mistake' — LLMs are a quarter of intelligence

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Sutton: synthetic data is 'a huge mistake' — LLMs are a quarter of intelligence

Richard Sutton, the reinforcement learning pioneer who wrote the field's most-quoted essay, used a Sequoia Capital interview to take direct aim at the industry's scaling playbook — calling synthetic data "a huge mistake" and arguing large language models capture only about a quarter of what intelligence is. The reinforcement learning pioneer behind "The Bitter Lesson" — the maxim that algorithms and compute beat hand-encoded human knowledge — sat for a Sequoia Capital conversation alongside Khu

World models that ignore what people believe predict the wrong actions

The Frontier

World models that ignore what people believe predict the wrong actions

A new "Mental World Modeling" framework adds beliefs, intentions, and social norms to world models — and even weak language models running it beat frontier giants answering directly. Current world models simulate physics but skip the people in the scene — and a new paper argues that omission makes them predict human behavior badly. Systems like Sora, Genie 3, JEPA, and Marble track objects, motion, and occlusion, but nothing about what the humans involved believe, want, or consider socially acc

AI 101 — What is an AI hallucination?

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AI 101 — What is an AI hallucination?

An AI hallucination is a statement a chatbot or model produces with total confidence that simply isn't true. The model isn't lying, glitching, or behaving maliciously — it is doing exactly what it was trained to do, which is to generate the next most plausible string of words. Sometimes the most plausible thing is wrong, and the result is a confident falsehood you can't always spot without checking. Familiarity should not breed contempt for the term: hallucinations are still the single most imp

Mystery model Ox Alpha tops GPT-5.6 — sleuths say it's Zhipu's GLM

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Mystery model Ox Alpha tops GPT-5.6 — sleuths say it's Zhipu's GLM

A nameless model dropped onto OpenRouter and immediately out-scored the biggest names in coding — and the detective work on its identity is as interesting as the model itself. Ox Alpha, an anonymous "stealth model" that appeared on OpenRouter on August 20, is posting coding-test scores above GPT-5.6 Sol, and community forensics point hard at a Chinese flagship nobody has officially announced yet. OpenRouter lists it as a reasoning model built for coding, sustained agentic work and production wo

DeepSeek's V4-Flash-Vision rivals Opus 4.8 on agent tests

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DeepSeek's V4-Flash-Vision rivals Opus 4.8 on agent tests

DeepSeek keeps moving fast on its low-cost track, and its latest move pairs image understanding with the company's signature price. Today it unveiled V4-Flash-Vision Exp, an experimental multimodal model that adds vision to its V4 Flash series, and DeepSeek says it stacks up against Anthropic's flagship on visual-agent benchmarks. DeepSeek's V4-Flash-Vision Exp nearly matches Opus 4.8 on multimodal agent tests. The new model, live on DeepSeek's API platform as deepseek-v4-flash-vision-exp, lay

NVIDIA's AVO agent clears every ARC-AGI-3 public level

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NVIDIA's AVO agent clears every ARC-AGI-3 public level

NVIDIA says its long-horizon agent system, AVO, completed all 183 levels across the 25 environments of the ARC-AGI-3 public set with a perfect 100.00 score. The result is real and independently checkable against the official scorecard — but the more interesting claim is buried underneath it: the system lifted Claude Opus 5 from a roughly 30% model baseline to 100% by changing the harness, not the model. What actually happened ARC-AGI-3 is the latest installment of François Chollet's attempt t

Alibaba open-sources Qwen-UI-Agent trained on 100 real phones

The Frontier

Alibaba open-sources Qwen-UI-Agent trained on 100 real phones

Two stories caught our eye this morning: Alibaba's bet on putting AI inside real devices, and a reminder that AI policy is now a campaign war chest. Alibaba open-sourced Qwen-UI-Agent, a GUI agent model trained and evaluated inside a fleet of more than 100 physical phones rather than clean simulators. The model is built to drive devices the way a person would — tapping, typing, running command-line actions, and calling APIs to finish multi-step tasks across mobile, desktop, and web. Alibaba say