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Will Reed
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Will Reed
@willreed
gp @sparkcapital
Marin County, CA Katılım Ekim 2015
1.6K Takip Edilen4.1K Takipçiler
Will Reed retweetledi
Welcome @mnedoszytko Nedoszytko, cardiologist turned Anthropic hackathon winner, to @AbridgeHQ .
A few weeks back, Michał built a platform to support patients after they leave the doctor’s office, a powerful example of clinicians stepping up to build the tools they actually need.
We sat down with @jacobeffron Effron and @nikillinit Krishnan to talk about our shared mission to reshape healthcare with AI.
From the moment I saw his hackathon project, it was clear he gets it. Clinicians are not just using AI anymore, they are shaping the future of medicine.
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Will Reed retweetledi
@benchling is not so quietly building the foundation for AI to massively accelerate biotech. Nice job @sajithw @daashu and team!
Sajith Wickramasekara@sajithw
In the AI era, the traditional biopharma industry is the underdog. Big tech and AI labs are building wet labs. China has overtaken Europe in molecules produced. But the tools available to the industry discuss science, not do it. The hard problem in AI for science is at the interface between the physical and digital worlds. We built an AI Scientist at that seam. It wires together the digital and physical worlds of R&D. Predictive models, data infrastructure, wet lab execution feed into a single loop that reasons, acts, and improves with every experiment. Our ambition: get molecules to the clinic twice as fast. Last fall I wrote about why biotech needs to be rebuilt for the AI era. Today I'm sharing the next chapter: what the AI Scientist is, a blueprint for how it works, and why even Richard Feynman couldn't hack it in a wet lab.
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Will Reed retweetledi
@G413N and @devanshpandey and the @si_pbc team have been quietly building on the frontier of a new pre-training paradigm: foundation models that learn from raw video, not language and screenshots. FDM-1, their first model, an 11M-hour computer-action dataset (the largest in the industry), a video encoder ~50x more token-efficient than the alternatives, and a 30-petabyte cluster racked in SF for under $500K. FDM-1, their first model, already extrudes CAD gears in Blender, fuzzes software, and drives a real car around San Francisco after an hour of fine-tuning.
We at @sparkcapital could not be more thrilled to partner with them, alongside @sonyatweetybird and the @sequoia team.
Standard Intelligence@si_pbc
We’ve raised 75m in new funding from Sequoia and Spark Capital—partnering with @sonyatweetybird, @MikowaiA, and @YasminRazavi, all of whom are deeply supportive of our long-term mission. We’ve also brought on angels & advisors including @karpathy, @tszzl, and @_milankovac_. ----- Our early results with FDM-1 moved computer use from a data-constrained regime to a compute-constrained one; this latest round of funding unlocks several orders of magnitude of compute scaling for that work. With the FDM model series we have a path to scale agentic capabilities through video pretraining, and we expect to achieve superhuman performance on general computer tasks in the same way that current language models have superhuman performance on coding tasks. We’re also now able to invest in the blue-sky research necessary to our long term mission of building aligned general learners. To realize the civilizationally transformative impacts of AI, models must generalize far out of their training distributions, actively exploring and building skills in new environments. This capability represents a substantial shift from the current paradigm of model training. We believe that current alignment techniques are insufficient to predictably and safely steer a model with human-level learning capabilities, and so we’re doing work to study small versions of this problem in controlled environments to develop a science of alignment for general learners. We’re a team of 6 people in San Francisco. We’re hiring world-class researchers and engineers to help us achieve our mission. If that’s you, please get in touch.
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Will Reed retweetledi
We’ve raised 75m in new funding from Sequoia and Spark Capital—partnering with @sonyatweetybird, @MikowaiA, and @YasminRazavi, all of whom are deeply supportive of our long-term mission. We’ve also brought on angels & advisors including @karpathy, @tszzl, and @_milankovac_.
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Our early results with FDM-1 moved computer use from a data-constrained regime to a compute-constrained one; this latest round of funding unlocks several orders of magnitude of compute scaling for that work. With the FDM model series we have a path to scale agentic capabilities through video pretraining, and we expect to achieve superhuman performance on general computer tasks in the same way that current language models have superhuman performance on coding tasks.
We’re also now able to invest in the blue-sky research necessary to our long term mission of building aligned general learners. To realize the civilizationally transformative impacts of AI, models must generalize far out of their training distributions, actively exploring and building skills in new environments. This capability represents a substantial shift from the current paradigm of model training. We believe that current alignment techniques are insufficient to predictably and safely steer a model with human-level learning capabilities, and so we’re doing work to study small versions of this problem in controlled environments to develop a science of alignment for general learners.
We’re a team of 6 people in San Francisco. We’re hiring world-class researchers and engineers to help us achieve our mission. If that’s you, please get in touch.
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Will Reed retweetledi
Mercury is the single “product” that has improved my life the most. I have always hated banks, invoicing platforms, and corporate cards. They make all of these things so incredibly easy. I haven’t had to open QuickBooks in over a year now.
They do not pay me. I am genuinely just this hyped on them. The only catch is that you’ll hate every bank you use after trying Mercury.
If you need a “bank” for your business, I can’t recommend Mercury highly enough.
Mercury@mercury
Our developer suite just got a new addition: Mercury CLI.
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Will Reed retweetledi
Will Reed retweetledi
Will Reed retweetledi
Did a very different format with @reinerpope – a blackboard lecture where he walks through how frontier LLMs are trained and served.
It's shocking how much you can deduce about what the labs are doing from a handful of equations, public API prices, and some chalk.
It’s a bit technical, but I encourage you to hang in there - it’s really worth it.
There are less than a handful of people who understand the full stack of AI, from chip design to model architecture, as well as Reiner. It was a real delight to learn from him.
Recommend watching this one on YouTube so you can see the chalkboard.
0:00:00 – How batch size affects token cost and speed
0:31:59 – How MoE models are laid out across GPU racks
0:47:02 – How pipeline parallelism spreads model layers across racks
1:03:27 – Why Ilya said, “As we now know, pipelining is not wise.”
1:18:49 – Because of RL, models may be 100x over-trained beyond Chinchilla-optimal
1:32:52 – Deducing long context memory costs from API pricing
2:03:52 – Convergent evolution between neural nets and cryptography
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Will Reed retweetledi
Congrats to @paraga and @travers00 and the entire team at @p0 as their prescience comes alive at astonishing speed.
Parag Agrawal@paraga
We raised a Series B led by @sequoia at a $2 billion valuation and I’m excited to welcome @andrew__reed to our board. All our existing investors doubled down: @kleinerperkins, @IndexVentures, @khoslaventures, @firstround, @sparkcapital, @AbstractVC, and @terraincap.
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Will Reed retweetledi
the culture it takes to do these two things in the same week (national bank charter conditional approval + banking cli) is remarkable
some banks will thrive post AGI…. deposit account for tokens wen 🙂
congrats @mercury @immad
Mercury@mercury
@sytaylor Pretty sure no one has ever crossed these two off in the same week
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Will Reed retweetledi
In the AI era, the traditional biopharma industry is the underdog. Big tech and AI labs are building wet labs. China has overtaken Europe in molecules produced. But the tools available to the industry discuss science, not do it.
The hard problem in AI for science is at the interface between the physical and digital worlds.
We built an AI Scientist at that seam. It wires together the digital and physical worlds of R&D. Predictive models, data infrastructure, wet lab execution feed into a single loop that reasons, acts, and improves with every experiment. Our ambition: get molecules to the clinic twice as fast.
Last fall I wrote about why biotech needs to be rebuilt for the AI era. Today I'm sharing the next chapter: what the AI Scientist is, a blueprint for how it works, and why even Richard Feynman couldn't hack it in a wet lab.
English
Will Reed retweetledi
Pumped to share that @afreshai has raised $34M in new funding to build AI for the $10T+ global Grocery industry
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Will Reed retweetledi
Will Reed retweetledi
Abridge named to the @Forbes AI 50 List for the third year in a row.
Proud to be alongside other leading companies like Anthropic and OpenAI. This recognition reflects what it takes to deliver AI at scale in healthcare: deep partnerships, rigorous tech, and focus on the clinical conversation.
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Will Reed retweetledi
codex + computer use + @baseten is a magical experience for deploying OSS models in minutes, entirely hands off after initial prompt
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Will Reed retweetledi
Formation Bio's AI-driven approach to drug development is sorely needed. It's been exciting to watch their early candidates progress. Lots of work but lots of potential ahead.
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When Benjamine Liu was a young computational biologist working on his doctorate at the University of Oxford, he had some ideas for novel drugs that could treat Alzheimer’s. He was so excited by their promise that he tried shopping them around to a few pharmaceutical companies. Not a single one was interested.
“They said, ‘We have more drugs than we can afford to develop,’” Liu tells Forbes. “A discovered drug isn’t worth that much.”
That rejection led him to a realization: The biggest problem in drug R&D wasn’t in the sexy part of searching for new discoveries. Instead, it was the long, grueling, expensive process of clinical development, where most potential drugs fail.
Formation Bio@formationbio
The world has more promising discovered drug candidates than ever. The problem is developing them. We built Formation Bio to fix that, using AI to develop drugs faster and with a higher likelihood of success. Thank you @amyfeldman and @Forbes telling the story of our mission, and our vision for the future of pharma. forbes.com/sites/amyfeldm…
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Will Reed retweetledi
Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.
Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
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Will Reed retweetledi
AI is accelerating drug discovery — but none of that matters if we can't get medicines through development + clinical trials and into patients' hands. That's the bottleneck we're solving at @FormationBio.
Thanks @Forbes and @AmyFeldman for sharing our story. Grateful to our investors, partners, and most importantly the incredible Formation Bio team as we look to build this generation's enduring pharma company.
Formation Bio@formationbio
The world has more promising discovered drug candidates than ever. The problem is developing them. We built Formation Bio to fix that, using AI to develop drugs faster and with a higher likelihood of success. Thank you @amyfeldman and @Forbes telling the story of our mission, and our vision for the future of pharma. forbes.com/sites/amyfeldm…
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Will Reed retweetledi
Honored to be featured in the Forbes 2026 AI 50 List alongside so many of our great customers!
forbes.com/lists/ai50/
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Will Reed retweetledi
The world has more promising discovered drug candidates than ever. The problem is developing them. We built Formation Bio to fix that, using AI to develop drugs faster and with a higher likelihood of success.
Thank you @amyfeldman and @Forbes telling the story of our mission, and our vision for the future of pharma.
forbes.com/sites/amyfeldm…
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