Frederik Schumann retweeted
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Frederik Schumann retweeted
Anthropic is a Public Benefit Corporation. Today, we’re publishing our annual Public Benefit Report. This report shares our five pillars and takes stock of the actions we’re taking to advance them.
Read the full report at this page: anthropic.com/public-benefit…
Frederik Schumann retweeted
Introducing MicroPlanBench:
One of the most important skills for a robot brain is judgment on what to do next.
Goals often take hundreds of subtasks that build upon each other. Doing the right subtask next is critical for achieving the goal.
We tested SOTA multimodal models on their ability to judge what should be the next task based on prior actions. (All tasks were consequential and not ambiguous)
None of them scored 70% - this means that for a goal spanning 13+ tasks, the success rate is <1%.
We believe this is a critical skill for physical AI models to become more useful in the real world.
One of the most interesting findings is that adding the goal of a task did not make a difference to the success of next task prediction.
We will publish more benchmarks in the future and correlate them to real-world success.
You can read more here: microagi.ai/benchmarks/micro…
We will open-source one half of the evaluation set soon and keep the other half private to prevent it from getting into training sets.
Also, huge shoutout to @angus_harley_, @saliherdemkocak, @ffschumann & @OwenBrande who have been working on this with me.
Frederik Schumann retweeted
Two new egocentric benchmarks from @microagi evaluate VLM readiness for robotics:
MicroPlanBench and MicroAnnotationBench.
tl;dr: Semantic reasoning ≠ perceptual timing
A lot of work to do.
MicroPlanBench (consequential next-action planning)
When predicting the single valid next atomic action from 8s of egocentric video, SOTA models still fail ~1/3 of the time (GPT-6 Astra: 65.6%, GPT-6.1 Sol: 65.5% at 1/5th cost).
- GPT-6 Astra error breakdown: 60% wrong manipulation, 23% wrong hand assignment, 17% wrong object/destination.
- Across all flags, 42% of failures involve tracking the wrong hand.
microagi.ai/benchmarks/micro…
MicroAnnotationBench (continuous temporal grounding)
Knowing what happens ≠ knowing when
Continuous 60s+ dense manipulation video remains unsolved for generalist VLMs:
- GPT-6 Astra/Sol over-segment (~22 segments/clip vs. 13.8 human mean), collapsing precision (~39%) and strict Boundary F1 (<20%).
- Scaling Test-time compute fails to fix perceptual boundaries: scaling Gemini 4 Argon to high reasoning effort dropped its headline score by 4.9 points while costing 4.7x more
microagi.ai/benchmarks/micro…
Currently, Small specialists match/beat frontier APIs at scale.
@microagi's self-hosted nanoannot-1 outperforms the frontier models (Gemini 4 Argon) across the board:
- 54.8 vs 49.6 overall;
- 32.9 vs 27.3 on strict ± 0.667s Boundary F1
- ~1/10th the cost (~$0.30 vs $3.14/video hr & >300x cheaper than GPT 6 Astra)
Solid work by @ErguzelYag, Ömer Adanir & Team.
Frederik Schumann retweeted
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit.
It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion.
In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding.
In the post below, we share more details about our new fund.
anthropic.com/news/public-be…
Frederik Schumann retweeted
Applications are now open for two new Anthropic Fellowships.
STEM Fellows (science and engineering) and Conceptual Reasoning Fellows (philosophy, cognitive science, economics, policy, and law) will spend four months at Anthropic from January 2027, working to help Claude reason well about some of the hardest problems in those fields.
For more information, see the descriptions below. The application deadline is October 28.
Conceptual Reasoning Fellows: job-boards.greenhouse.io/ant…
STEM Fellows: job-boards.greenhouse.io/ant…
Frederik Schumann retweeted
Today we're launching Odyssey-3, the most powerful foundation world model yet.
It sets a new state of the art on Physics-IQ, and powers robots, trains AIs, and generates interactive experiences. It's really cool.
Experience the model today, all for free!
Frederik Schumann retweeted
We’re introducing Humanity’s Sixth Sense, a new benchmark testing the intuitive visual reasoning people rely on every day.
Across 522 open-ended tasks spanning images and video, HSS tests everything from spatial and causal reasoning to social understanding.
The gap is significant. Humans score 93.1%, while the strongest model, GPT-6-astra, reaches 53.6%. The median model scores just 30.9%.
Frederik Schumann retweeted
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
Frederik Schumann retweeted
Far from a summer slowdown, we've just witnessed an extraordinary quarter for the founders we've backed.
From robotics to biocomputing, from outer space to inner creativity, here are Q3's highlights from the extraordinary teams in our portfolio.
Frederik Schumann retweeted
We’re excited to welcome @animesh_garg as our new Chief Research Officer at @microagi, with the team from @usablerobots joining him.
He has spent most of his career working on one of the hardest problems in robotics: getting robots out of the lab and into the real world.
Frontier AI now works. Hardware is becoming cheap. And the industry is finally learning how to collect robot data at scale.
What’s still missing is post-training.
Taking a general-purpose model and teaching it one specific job, in one specific environment, until a company can actually depend on it.
In LLMs, post-training is what turned impressive demos into products. In robotics, that layer barely exists yet.
A strong model is a capability. A robot that can perform the same job, on the same line, every shift, without an engineer standing next to it, is a product.
And that process has to happen again for every task, every site, and every customer.
We believe the company that can do this well, fast, and at scale will be the company that puts robots into production at massive scale.
MicroAGI is building both sides of that system.
With @joinshift, we’re building one of the most diverse and largest egocentric datasets in the world.
With Atlas, we post-train and harness models directly on enterprise deployments.
Our goal is simple:
Deploy 1 million robots.
Frederik Schumann retweeted
Peter Thiel says Europe fears success:
"One of the things in Germany that people always talk about in this entrepreneurship context is there's a fear of failure. A 'no risk' culture... Perhaps there's also a fear of success."
"If you have something that works, you're not going to scale it to this extreme degree like an @elonmusk or @finkd. At some point you'll sell the company or exit."
"What's very striking is how few great new companies have been built in Germany in the last number of decades."
"If you look at the 50 wealthiest people in the US, only 12 are Gen X or younger—people born 1965 or later."
"In Germany, it's more distributed: 20 of the 50 people are Gen X or younger."
"But here's the difference—in the US, 9 out of 12 of those people made their own money. In Germany, all 20 of those 20 inherited it. Not a single person did something new, made some new money, built a large, new scalable company."
Via Mathias Döpfner
Frederik Schumann retweeted
Asking out loud is the fastest way to get almost anything done. Even if you're asking a robot.
This early case study from @microagi showcases how they're using ElevenLabs to explore what working alongside a humanoid robot looks like when you can simply talk to it.
microagi x ElevenLabs: what happens when you work together with a robot?
Language has always been at the heart of human connection. It's how we share ideas, build communities, and understand one another. We believe this will be just as important in how we connect with robots. At microagi, we envision a world where robots work alongside us as a normal part of everyday life, where asking one for help feels as natural as asking the person beside us.
For that to happen, we need to be able to speak to them directly, without a screen or control panel, and trust that we have been understood.
With ElevenLabs, we are working to make those conversations possible. We are giving our robots a voice, and shaping how they listen and respond to the people around them.
Here’s an early look at how future robots could talk with us.
Frederik Schumann retweeted
microagi x ElevenLabs: what happens when you work together with a robot?
Language has always been at the heart of human connection. It's how we share ideas, build communities, and understand one another. We believe this will be just as important in how we connect with robots. At microagi, we envision a world where robots work alongside us as a normal part of everyday life, where asking one for help feels as natural as asking the person beside us.
For that to happen, we need to be able to speak to them directly, without a screen or control panel, and trust that we have been understood.
With ElevenLabs, we are working to make those conversations possible. We are giving our robots a voice, and shaping how they listen and respond to the people around them.
Here’s an early look at how future robots could talk with us.
Frederik Schumann retweeted
GPT-6 Sol and Luna are big improvements on intelligence, alignment, work output, coding, computer use, and more over their 5.6-family predecessors.
They are also half the price per token, and even less per task!
