Wayde Gilliam
547 posts
Wayde Gilliam
@waydegg
Full Stack Human
San Francisco, CA Katılım Kasım 2017
249 Takip Edilen432 Takipçiler
We raised $6.5M to build the agent for professionals.
When your reputation is on the line, you need an agent that's reliable, secure, and one step ahead.
Try it now at serif.ai
English
Ten years ago I was building factories. Today I'm building the tools I wish I had inside them.
@TenkaraAI raised $7M led by @trueventures.
English
I’m excited to introduce Proximal with @MatternJustus and @navidkpr
We believe that many companies work on training data, but almost all of them are approaching it the wrong way.
Historically, the biggest capability jumps came from engineers inventing scalable ways to collect domain specific data, and not from scaling up manual labor.
Our core belief at Proximal is that the data needed for progress will not come from a recruiting firm or a talent marketplace, but a research and engineering organization that treats data as a problem which deserves the same level of rigor as work on training algorithms and model architectures.
We think that this is the most impactful work towards agents that can autonomously solve complex technical problems, and intend to share our research and progress in the open.
Since starting last year, we've grown incredibly fast and have made great technical progress. We are backed by top investors and angels from OpenAI, Anthropic, Thinking Machines, xAI, Meta Superintelligence, Google Deepmind, Cursor and Cognition.
We're expanding our team and hiring researchers & engineers in San Francisco! If you want to work on data and RL for long-horizon coding agents, reach out!
Proximal@ProximalHQ
Today, we are announcing Proximal. Proximal is a research lab for data. Our core belief is that data which is complex enough to teach today’s frontier models is not bottlenecked by domain experts, but by great ideas and excellent software. We are excited about a world in which coding agents can autonomously run for multiple weeks, solve the hardest technical problems and discover novel ideas that advance progress in various domains of science and engineering. We believe that we are not far from this future, but that the biggest bottleneck preventing us from achieving it is training data. Many companies work on data, but most of them are approaching it the wrong way. Historical capability breakthroughs are the result of creative engineers discovering scalable data collection methods, not thousands of contractors manually writing task demonstrations. Inevitably, the potential impact of human data will become smaller and smaller as model capabilities increase: agents are already outperforming most humans in many domains - the number of experts that are capable of judging model outputs shrinks with every new model release. Proximal is a new data company. We are not a recruiting firm or a talent marketplace, but a research and engineering organization that treats data as a problem which deserves the same level of rigor as work on training algorithms and model architectures. We think that this is the most impactful work towards agents that can autonomously solve complex technical problems, and intend to share our research and progress in the open.
English
Wayde Gilliam retweetledi
Today, we are announcing Proximal. Proximal is a research lab for data. Our core belief is that data which is complex enough to teach today’s frontier models is not bottlenecked by domain experts, but by great ideas and excellent software.
We are excited about a world in which coding agents can autonomously run for multiple weeks, solve the hardest technical problems and discover novel ideas that advance progress in various domains of science and engineering.
We believe that we are not far from this future, but that the biggest bottleneck preventing us from achieving it is training data.
Many companies work on data, but most of them are approaching it the wrong way. Historical capability breakthroughs are the result of creative engineers discovering scalable data collection methods, not thousands of contractors manually writing task demonstrations.
Inevitably, the potential impact of human data will become smaller and smaller as model capabilities increase: agents are already outperforming most humans in many domains - the number of experts that are capable of judging model outputs shrinks with every new model release.
Proximal is a new data company. We are not a recruiting firm or a talent marketplace, but a research and engineering organization that treats data as a problem which deserves the same level of rigor as work on training algorithms and model architectures.
We think that this is the most impactful work towards agents that can autonomously solve complex technical problems, and intend to share our research and progress in the open.
English
Wayde Gilliam retweetledi
Never before has a product so fully lived up to expectations. It's the tape you want all other tape to be. It's the tape she told you not to worry about.
English
Assuming chatGPT in the future, I think I may have to buy some $MSFT.
Any other substantial backers to OpenAI folks know about?
English
English
One of the less talked about benefits of LLM-assisted coding is that it dramatically reduces “writer’s block” for writing new code or architecting some feature.
I can just chat with an LLM on what I’m thinking about doing, and it forces me to start workshopping something without overthinking the most optimal approach or whatever.
English
I wrote a Notion guide on what I would do differently as a founder if I were to start from scratch:
I talk about equity, fundraising, raising money, taxes, hiring & paying my team, running finance, selling secondaries & exiting
Leave a comment & I'll DM you a copy
English
Wayde Gilliam retweetledi
We raised $15M to personalize learning with AI.
Education is a massive industry. Edtech? Tiny. Why?
Educational technology hasn’t meaningfully changed how students learn. Scantrons have become radio buttons, but it’s static content all the way down.
Flint is changing that. We’re already personalizing learning with AI for 400,000 students worldwide, and are growing faster than we can handle.
Join us :)
Flint@FlintK12_
Education has promised personalization for decades. We’re making it real. Flint raised $15M in Series A funding (co-led by @BasisSet & @patronfund) to bring AI-powered personalized learning to every classroom. Every student deserves learning made for them.
English
Wayde Gilliam retweetledi
Puentes is starting next Monday!
We’re flying 10 of the best engineers from Latin America to SF.
They’re the most talented in their countries and want to be here to compete amongst the best. Our goal is to expose them to the city and help them stay.
Meet the engineers 👇
English
Wayde Gilliam retweetledi
Today we’re excited to share that @useflai has raised a $4.5 million seed round led by @firstround with participation from @ycombinator @svangel , @Liquid2V, and many other terrific funds and angel investors. This funding fuels our mission to bring customers to automotive dealerships by handling all communication before they walk in the door.
After visiting hundreds of dealerships and speaking with service advisors, BDC managers, GSMs, and GMs across the US, the pattern was clear: missed calls, full inboxes, long hold times, and customers who don’t try again. In fact, 70% of people who hit voicemail call a competitor within 30 minutes, translating directly into lost revenue for the dealership.
Flai has already handled tens of thousands of customer calls and is live in dozens of dealerships. Some dealers have told us Flai has paid for itself on a single Sunday and we’ve generated millions in revenue in the last two months. For our biggest location, we’re generating about 150k in revenue each month.
With this funding, we’re pushing the product to new levels to build the AI communications platform for auto dealerships where every customer interaction outside of the store is taken care of.
English
