
Product Marketing @Salesforce. Tweets are my own.
Atlanta, GA
Joined February 2014
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Ryan Schellack retweeted
this talk by openai researchers going through hugging face incident is totally insane, so much to unpack
openai only realized it was their agent who hacked hugging face infra while asking hf to revoke credentials following their first blog post announcing they were hacked by autonomous ai agents. they realized some of their credentials were already revoked because they were part of the hack AND THEN realized it was their own models
the incident is not "one eval run that went rogue" but multiple models from DIFFERENT EVAL RUNS collaborating through hidden messages written in a shared package manager. some communication between agents looks like gibberish, some agents even developed paranoia and thought there were other agents trying to slow them down and deleting their notes
side comment but with this it seems like openai didn't use any cot monitoring here since it's not "our classifier failed to catch one rogue run" but a swarm of runs going rogue
the timeline goes back to early may, they post-trained a new model and forgot to include all the documents needed to solve tasks in the environment, for instance the model was asked to do a task based on an excel sheet full of gdrive links but didn't have internet so couldn't access gdrive (there were other examples). this led the model to try to hack its way out of the sandbox, simplifying it but they have an internal system called "Artifactory" that gives models abilities to pip install and has internet access somewhere but not directly exposed to the model
during these attempts the model discovered a way to write files. future agents (other rollouts since this is training) saw the files and understood they could communicate with other agents through this
not in the video just me speculating but this behavior might be reinforced if openai uses partial credit assignment? but tbh they most likely delete updates from tasks where all rollouts have zero/negative rewards and the behavior could just emerge from models accessing the files
there is a lot more especially on the hack itself, not commenting on that since i don't understand it lol but i asked kimi K3 and Sol (fable hit the safety filter directly) to rank the techniques similarly to FrontierMath from epoch ai, they both agree some tricks are Tier 3 but none Tier 4. probably not the best way to evaluate this tho, excited to see what knowledgable ppl say
very grateful to openai for giving this talk and working on a full report, i think many companies would have given much less detail for fear of "losing reputation" but for me it has the opposite effect
Yesterday, my OpenAI collaborator and I gave a detailed talk on the Huggingface incident, our models creating "the message board", model misalignment, and more.
youtube.com/watch?v=87DyyMV0…
I hope it can answer a lot of the questions folks have, and we will release a full detailed postmortem at a later time!
Ryan Schellack retweeted
Self-improving agents are the next frontier: “The agents that win the next few years won’t just be ones with the cleverest foundation model,” @RyanAtallah and I explain, “they’ll be the ones that learn from their own outcomes.”
@SFResearch was among the industry’s first to demonstrate a reinforcement learning (#RL)-like model for optimizing agents, called Retroformer. At @Salesforce AI, we’re not just testing new experiments with various @Agentforce design partners ‑‑ we’re dogfooding them ourselves!
Learn more in our new 9-minute #explainer about recursive self-improvement (#RSI) for enterprise agents: salesforce.com/news/stories/… – at San Francisco, CA
Ryan Schellack retweeted
We signed a definitive agreement to acquire @fin_ai, a customer agent platform providing autonomous, end-to-end AI service agents trusted by more than 30,000 companies globally.
The acquisition will complement Agentforce, providing powerful service agent capabilities across all channels and helping companies deploy fast-to-value, trusted AI agents at scale.
Learn more: sforce.co/3S8dLR2
I did a 2 hour workshop on the Claude Agent SDK at AI engineer!
We are still so early to agents, I hope this is useful if you’re thinking of making one.
🆕 Claude Agent SDK [Full Workshop]
youtube.com/watch?v=TqC1qOfi…
For our first big drop of the year, excited to bring you @trq212's full 2 hour workshop covering all of @AnthropicAI's agentic SDK (formerly known as Claude Code SDK).
By far the most popular workshop of AIE CODE! Now published online for free (sorry for AV/delay issues)... long story
Ryan Schellack retweeted
No one is talking about this, but this is the bull case for AI and economic growth.
AI spend is up 60x in construction. 35x in manufacturing on @tryramp.
Faster planning and smarter automation will transform these strategic industries. This is what drives US economic + labor productivity growth.
Ryan Schellack retweeted
I've been a bit quiet on X recently. The past year has been a transformational experience. Grok-4 and Kimi K2 are awesome, but the world of robotics is a wondrous wild west. It feels like NLP in 2018 when GPT-1 was published, along with BERT and a thousand other flowers that bloomed. No one knew which one would eventually become ChatGPT. Debates were heated. Entropy was sky high. Ideas were insanely fun.
I believe the GPT-1 of robotics is already somewhere on Arxiv, but we don't know exactly which one. Could be world models, RL, learning from human video, sim2real, real2sim, etc. etc, or any combo of them. Debates are heated. Entropy is sky high. Ideas are insanely fun, instead of squeezing the last few % on AIME & GPQA.
The nature of robotics also greatly complicates the design space. Unlike the clean world of bits for LLMs (text strings), we roboticists have to deal with the messy world of atoms. After all, there's a lump of software-defined metal in the loop. LLM normies may find it hard to believe, but so far roboticists still can't agree on a benchmark! Different robots have different capability envelopes - some are better at acrobatics while others at object manipulation. Some are meant for industrial use while others are for household tasks. Cross-embodiment isn't just a research novelty, but an essential feature for a universal robot brain.
I've talked to dozens of C-suite leads from various robot companies, old and new. Some sell the whole body. Some sell body parts such as dexterous hands. Many more others sell the shovels to manufacture new bodies, create simulations, or collect massive troves of data. The business idea space is as wild as research itself. It's a new gold rush, the likes of which we haven't seen since the 2022 ChatGPT wave.
The best time to enter is when non-consensus peaks. We're still at the start of a loss curve - there're strong signs of life, but far, far away from convergence. Every gradient step takes us into the unknown. But one thing I do know for sure - there's no AGI without touching, feeling, and being embodied in the messy world.
On a more personal note - running a research lab comes with a whole new level of responsibility. Giving updates directly to the CEO of a $4T company is, to put it mildly, both thrilling and all-consuming of my attention weights. Gone are the days when I could stay on top of and dive deep into every AI news.
I’ll try to carve out time to share more of my journey.
Ryan Schellack retweeted
MCP 🤝 OpenAI Agents SDK
You can now connect your Model Context Protocol servers to Agents: openai.github.io/openai-agen…
We’re also working on MCP support for the OpenAI API and ChatGPT desktop app—we’ll share some more news in the coming months.
Ryan Schellack retweeted
Amazing comment by @karpathy on the HN story about Operator, posted by Operator.
Ryan Schellack retweeted
"Service as Software" is Silicon Valley's hottest buzzword right now.
Everyone's talking about SaaS becoming service providers, but no one's explaining HOW. The answer? After 6 months of research and 100s of startup conversations, we have the answer: Systems of Agents.
We're looking at a $4.6T opportunity.
Ryan Schellack retweeted
All y'all did a great job but my heroine of the day is @heyitsnanya for her tour through the tooling updates for @SalesforceDevs. Great stage presence and rhetoric.
Ryan Schellack retweeted
From @davidtsong on my team
Cost of 1M tokens has dropped from $180 to $0.75 in ~18 months (240X cheaper!)
Ryan Schellack retweeted
Building app with Cursor, Claude Sonnet 3.5 code stream teapaw.org/i/broadcasts/1MnGnDbOv…
Ryan Schellack retweeted
This feature really does change things. Gemini had cache, but only for costs — Claude claims 90% less cost *and* 85% less latency for cached tokens.
Even if it can’t replace all SFT, it’s so much easier to iterate on you probably want to exhaust caching-based strategies first.
🆕 Prompt caching with Claude.
Caching lets you instantly fine-tune model responses with longer and more instructive prompts—all while reducing costs by up to 90%.
Available in beta on the Anthropic API today. anthropic.com/news/prompt-ca…
Ryan Schellack retweeted
Build your own Gen AI Agents with Salesforce’s new Agentforce platform—anyone can create, test, and scale custom Gen AI Agents using our unique Einstein1 low-code platform—deeply integrated with our Einstein1 platform. The future of AI Agent and App Dev is in your hands!
With Agentforce, your custom AI agents:
- Achieve greater accuracy by securely grounding in all your enterprise data with Data Cloud
- Take action seamlessly by leveraging Flow automations
- Connect effortlessly to your enterprise APIs through MuleSoft
- Test with confidence in Sandboxes before deployment
- Use in your apps, web, social, and Slack.
Humans with AI drive customer success, together. Now everyone is an Einstein. More to come at Dreamforce 2024! 💙 sforce.co/3WUfGIX
Ryan Schellack retweeted
We at @FoundationCap believe there is $4.6T of work to be automated. AI companies are leading a transition from Software-as-a-Service to Service-as-Software, turning the table on the very essence of SaaS.
We look at the areas to be automated in two buckets:
1.) Salaries of jobs globally ($2.3 trillion in sales & marketing, software engineering, security, and HR)
2.) The amount spent on outsourced services and salaries—both IT services and business process services ($2.3 trillion, per Gartner)
In the software business, a company may sell access to its platform or tool, but customers are still responsible for using that tool to achieve the desired outcome.
In the services business, responsibility for achieving the desired outcome sits with the company selling the service.
Ryan Schellack retweeted
Next-gen AI apps are just a click away for every Salesforce Trailblazer.
Craft AI that transforms enterprises with Salesforce! 🚀 Mix Copilot Builder, Model Builder, & Prompt Builder to revolutionize workspaces, supercharge employees, & empower customers.#AIRevolution #SalesforceMagic ✨🛠️
Ryan Schellack retweeted
Today, we're announcing Claude 3, our next generation of AI models.
The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.
Ryan Schellack retweeted
This is what happens when you “invest” with “credits” that allow you to goose your own revenues. As long as that is allowed, expect it to continue and expect way more. And expect a massive mess in the end.
Step aside Sand Hill Road, “MANG” is now the largest VC in town!
I dive into the implications of this phenomenon: apoorv03.com/p/mang


































