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Dario: “The biggest thing to watch is this issue of AI systems building AI systems.”
Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs.
Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can.
The era of human-scale R&D is over. Machine-scale development has begun. 🚀
We've burned 7% of $MIRA to better support the ecosystem.
Mira is currently holding a portfolio of 10.15 ETH.
Autoscience Institute retweeted
Emerging autoresearch labs worth following:
@AutoScienceAI (@eliot_cowan)
One of the cleanest “AI builds AI” bets: agents that invent, test, and ship ML models; not just tune hyperparameters.
@intology (@zhouandy_)
Zochi and Locus are built for the full research loop: read, hypothesize, code, run thousands of experiments, learn from failures, repeat.
@thesis_labs (@eigentopology)
YC F25. Treating ML research as a compounding search problem, where every experiment improves the next one instead of dying in a Notion doc.
@Recursive_SI (@RichardSocher, @_rockt, @jeffclune)
A very ambitious new bet on AI systems that run open-ended experiments on how to make AI systems better. autoresearch with recursive consequences.
@EdisonSci (@SGRodriques, @andrewwhite01)
A newer FutureHouse spinout bringing AI scientists into biopharma R&D — where “deep research” has to survive real data, real experiments, and real timelines.
@HarmonicMath (@tachim, @vladtenev)
Math’s version of autoresearch: AI exploring new proofs, with formal verification as the anti-hallucination layer.
@readysetpotato (@Nick___Edwards)
An AI scientist for actual research workflows — papers, hypotheses, protocols, computational tools, and eventually lab automation.
@EvoScientist (@_xizhang)
A very early one to watch: multi-agent AI scientists with persistent memory, so failed ideas and experiments improve the next research cycle.
@SakanaAILabs (@hardmaru)
The original AI Scientist builders. Still one of the best technical follows for research artifacts, open source, and weird ideas that actually run.
not exhaustive - add the early teams I’m missing in the comment
@AnthropicAI just highlighted us in their latest research on AI-driven scientific discovery.
This is where things are heading. 🧵
The future will need more capable AI models.
We’re removing the human bottleneck from AI R&D.
Autoscience Institute
Autoscience Institute retweeted
🤖 This AI research lab is using AI to make AI models
axios.com/2026/03/19/autosci…
Autoscience Institute retweeted
Excited to announce @MaCVentureCap's investment into @AutoScienceAI founded by the amazing @eliot_cowan. The round was led by @generalcatalyst with participation from @Toyota_Ventures, @PerplexityFund and S32.
semafor.com/article/03/18/20…
Autoscience Institute retweeted
Super excited for and proud of the @AutoScienceAI team. Revolutionizing AI research with AI “autoscientists”!
Dario: “The biggest thing to watch is this issue of AI systems building AI systems.”
Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs.
Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can.
The era of human-scale R&D is over. Machine-scale development has begun. 🚀
Autoscience Institute retweeted
Proud to back @AutoScienceAI -- Eliot and team are building autonomous AI research labs for the era of machine-scale discovery 🚀
from its system medaling at a Kaggle comp to authoring/publishing a peer-reviewed paper, Autoscience is definitely one to watch.
Dario: “The biggest thing to watch is this issue of AI systems building AI systems.”
Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs.
Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can.
The era of human-scale R&D is over. Machine-scale development has begun. 🚀
Autoscience Institute retweeted
Unbelievably thrilled to partner with @AutoScienceAI as they work to scale 100,000 AI research scientists to human-level performance and beyond.
Dario: “The biggest thing to watch is this issue of AI systems building AI systems.”
Today, Autoscience is announcing $14M in funding by General Catalyst, Perplexity Fund and Toyota Ventures to create autonomous AI research labs.
Human AI researchers can't keep up with the pace of new AI research. They’re out of time to run the experiments they want. So we’re building an autonomous AI lab that can.
The era of human-scale R&D is over. Machine-scale development has begun. 🚀
We're super excited to be building with @generalcatalyst @S32_VC @MaCVentureCap @toyota_ventures and @PerplexityFund
Join our team, use our automated lab to improve your models, or learn more here:
autoscience.ai/blog/autoscie…
AI systems can write working code … but can they earn a medal on a live Kaggle competition with $50k in prizes?
Mira now has a bronze medal position on the Kaggle Santa 2025 leaderboard. The competition is still open. More details here: autoscience.ai/blog/introduc…
If you'd like to join our team building Automated Algorithmic Discovery, please apply: autoscience.ai/careers. Thank you @google and @modal for your generous compute credits to support this experiment.
Autoscience Institute retweeted
AI systems dubbed “AI scientists” are being built to generate hypotheses, analyze data, and even publish research, prompting debate about how they might change the future of human-led science. f.mtr.cool/ylfdonfbxp
🤖🧪 The first AI-generated, peer-reviewed ICLR paper shows how we’re turning AI agents into scientists.
Read what's next in this feature from R&D World:
rdworldonline.com/startup-au…