Dillon Erb @dlnrb

building something new @ Autonomous Technologies Group — prev: CEO / co-founder @hellopaperspace (acquired by @digitalocean) atg.science New York, USA Joined August 2010

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Dillon Erb @dlnrb

23 hours ago

Starting to test Claude Sonnet 4.5 and initial thought is wow it feels really fast.

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Being able to stream-of-thought inject new messages in Claude code is an infinitely better UX than queueing up your messages and waiting for the LLM to finish (codex, Gemini CLI). Makes the process feel so much more interactive and responsive

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Jack Morris @jxmnop

9 months ago

posted the other day about model distillation. pretty much everyone responded with their theories professors, leading lab researchers, students, pseudoanonymous anime-profile posters seems there's no clear consensus why it works, but here are the theories 🧵

Jack Morris @jxmnop

9 months ago

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MOrdO Kai @kai_mordo

10 months ago

@deepfates simple, low gpu use, built in api server, and RAG retrieval - GPT4ALL

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Yining Shi @yining_shi

11 months ago

We're looking for a hands-on engineering manager to lead our growing front-end team at @runwayml. If you're passionate about building AI-driven products and growing high-performing and fast-paced engineering teams, we'd love to hear from you 🙏. job-boards.greenhouse.io/runwayml/jobs/…

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Etched @Etched

11 months ago

Introducing Oasis: the first playable AI-generated game. We partnered with @DecartAI to build a real-time, interactive world model that runs >10x faster on Sohu. We're open-sourcing the model architecture, weights, and research. Here's how it works (and a demo you can play!):

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Etched @Etched

a year ago

Meet Sohu, the fastest AI chip of all time. With over 500,000 tokens per second running Llama 70B, Sohu lets you build products that are impossible on GPUs. One 8xSohu server replaces 160 H100s. Sohu is the first specialized chip (ASIC) for transformer models. By specializing,…

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Dillon Erb @dlnrb

a year ago

Incredible update to the best open source embedding model. Congrats @nomic_ai 💪

CalCo @calco_io

a year ago

Incredible update to the best open source embedding model. Congrats @nomic_ai 💪

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Cameron R. Wolfe, Ph.D. @cwolferesearch

a year ago

@rasbt Super interesting, data curation is becoming the cornerstone of LLM research

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Dillon Erb @dlnrb

a year ago

If you are in NYC next week come see some amazing speakers at our first ever AI Dev Day @ DO's SoHo office starring @nomic_ai @NormalComputing @TrainyAI and @LeptonAI . RSVP link below 👇👇

DigitalOcean @digitalocean

2 years ago

If you are in NYC next week come see some amazing speakers at our first ever AI Dev Day @ DO's SoHo office starring @nomic_ai @NormalComputing @TrainyAI and @LeptonAI . RSVP link below 👇👇

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Dillon Erb @dlnrb

2 years ago

I'm hosting the first of many Dev Day's at DigitalOcean. If you are in the NYC are would love to have you join!

DigitalOcean @digitalocean

2 years ago

I'm hosting the first of many Dev Day's at DigitalOcean. If you are in the NYC are would love to have you join!

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Nikita Bier @nikitabier

2 years ago

Every investor who has stood in the way of a company being acquired has regretted it. Once an acquisition is in motion, the most important thing to do as an investor is to fall in line. The process is so incredibly stressful that any effort to derail it will also derail the…

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Harj Taggar @harjtaggar

2 years ago

One thing that’s made office hours with the AI startups in the current YC batch so fun is imagining what their software might be capable of doing in the future. We can throw out crazy ideas knowing it might only be a few months before they don’t seem crazy anymore.

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Mark Tenenholtz @marktenenholtz

2 years ago

The best research is done with fast iterations on small models. This paper is one of the first that I’ve seen where the authors explained how they did that small scale testing.

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Siqi Chen @blader

2 years ago

after two decades of trying to get better at “leadership”, this is what i’ve got: leadership is about having extremely high expectations, deeply believing in people’s ability to grow to meet those expectations, and having the responsibility to support people in that growth.

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Ivan Fioravanti ᯅ @ivanfioravanti

2 years ago

An example of Apple MLX power and "hackability": visualizing model confidence. NeuralBeagle14 here. I'm "playing" with code to add --colorize param to mlx_lm to be able to show confidence of the model on the next token using standard top_p algorithm. I started from @antirez…

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Supasorn Suwajanakorn @supasornaek

2 years ago

Introducing DiffusionLight---a simple yet effective technique to estimate lighting from any in-the-wild input image. How? ... by inpainting a chrome ball into the image with diffusion models! (1/3) paper: arxiv.org/abs/2312.09168 diffusionlight.github.io huggingface.co/DiffusionLight…

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Simon Suo @disiok

2 years ago

Do we really want AGI or just really cheap and fast open source thought calculators that runs in our laptop

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Dillon Erb @dlnrb

2 years ago

Fascinating. I expect we start seeing a lot more of these LLM middlewares and routers soon.

Tomas Hernando Kofman @tomas_hk

2 years ago

Fascinating. I expect we start seeing a lot more of these LLM middlewares and routers soon.

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Quantіan @quantian1

2 years ago

There’s no good theoretical reason I can think of for why the space of human legible images should be both so sparse *and* so compact in the space of all possible JPEGs that this works. Most images you generate, even for tiny perturbations, “should” look like random TV snow.