Handshake (@joinHandshake) / X

Handshake

3,096 posts

Handshake

@joinHandshake

Building the future workforce of the AI economy 🤝

United States

Joined March 2014

Pinned
Handshake
@joinHandshake
Jun 10, 2025
Introducing Handshake AI—the most ambitious chapter in our story. We leverage the scale of the largest early career network to source, train, and manage domain experts who test and challenge frontier models to failure for the top AI labs.
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Handshake
@joinHandshake
Jun 2
Meet our Handshake AI summer intern class. They found us on Handshake. Now they're building what's next on it. Welcome to the team. 🙌
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Handshake
@joinHandshake
May 27
We built a better way to grade agentic work. Gandalf is a reactive agent-as-judge that inspects files, tool state, and artifacts the same way a human expert would. On our banking benchmark, even the cheapest Gandalf config beat the next-best verifier at ~10x lower cost.
Anish Athalye
@anishathalye
May 27
Grading agent rollouts in rubric-graded RL environments is itself a hard task. Prior approaches pass serialized artifacts or agent trajectories to an LLM judge; this loses information / doesn't support sophisticated criteria. In contrast, we built a reactive agentic judge.
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Handshake
@joinHandshake
May 27
Agent evals are becoming foundational infrastructure. @jomulr joined @CAISconf’s RLEval workshop to share Handshake’s perspective on RL environments, evaluation, and why @harborframework is emerging as the framework.
Jonas Mueller
@jomulr
May 27
Packed room to hear @alexgshaw and @ryanmart3n break down how @harborframework grew into *the* framework for RL environments. In our RLEval workshop at @CAISconf today, attendees tackled big open challenges in RLEs & Agent Evals + I shared the approach we take at @joinHandshake
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Handshake reposted
Curtis G. Northcutt
@cgnorthcutt
May 27
Kudos to @anishathalye and @jomulr for co-chairing the RL agentic benchmarks workshop track for the inaugural ACM CAIS conference this week. We presented two separate Handshake AI Research papers in: (1) AI agentic systems - first evaluation of grader frameworks, and (2) AI
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Handshake
@joinHandshake
May 26
This spring, we worked with @OpenAI to launch the Codex Creator Challenge. More than 1,500 students built something on their own terms, driven by their own ideas. That kind of confidence and creative ownership is exactly what the most forward-thinking employers are hiring for.
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Handshake reposted
Anish Athalye
@anishathalye
May 18
Demo gods were on my side for this guest lecture on AI Agent Security at @MIT_CSAIL: I was able to show a prompt injection attack against @AnthropicAI's Opus 4.6 model. Agent security is still an unsolved problem!
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Handshake
@joinHandshake
May 18
The Handshake x @OpenAI Codex Creator Challenge winners are in 👇 🥇See why your code fails, line by line, with TraceCode by Obinna Nwachukwu 🥈Interactively explore America's power grid with InfraMap by Leonard Alsleben 🥉 Explore global dragon mythology with Where Dragons
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Handshake reposted
Jonathan Stull
@jonstull
Apr 30
This @joinHandshake event with @OpenAI was so energizing. Not surprisingly, when you give young people powerful tools, their creativity and ambition run wild. The @UCBerkeley students were incredible. With AI, your career will be more about showing than telling. Build something
OpenAI Developers
@OpenAIDevs
Apr 30
Students are learning to build with Codex, and building to learn. Here’s what @UCBerkeley students built at the Codex Creator Challenge with @joinHandshake.
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Handshake
@joinHandshake
Apr 30
85% of seniors use generative AI. Now they're building with it too. So proud to see @UCBerkeley students turn curiosity into craft at the Codex Creator Challenge with @OpenAIDevs. 🙌
OpenAI Developers
@OpenAIDevs
Apr 30
Students are learning to build with Codex, and building to learn. Here’s what @UCBerkeley students built at the Codex Creator Challenge with @joinHandshake.
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1.1K
Handshake
@joinHandshake
Apr 13
AI models are incredible at coding and math. Labs like OpenAI and Anthropic solve verifiable domains by teaching models with tasks that have clear right or wrong answers, like "5/2." But in domains like finance or law, there is rarely a single right answer. There, labs turn to
Anish Athalye
@anishathalye
Apr 13
Does an imperfect verifier break reinforcement learning with verifiable rewards (RLVR)? Turns out it doesn’t! Why does this matter? As the world moves into reinforcement learning in semi-verifiable domains, perfect verifiers don’t exist. We added controlled and LLM-based noise
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Handshake reposted
WorkOS
@WorkOS
Apr 8
📣 Second speaker announcement for Acquired Unplugged: Garrett Lord, co-founder and CEO of Handshake, will join Ben Gilbert and David Rosenthal for a live conversation on building Handshake into the career network for the AI economy. Space is limited. Register here:
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Handshake reposted
The Peel
@ThePeelPod
Apr 4
I asked @GarrettLord how @joinHandshake came out of nowhere to become a top data labeling partner to the AI labs: "We started to see incredible demand for individuals with PhDs and Master's on the Handshake platform. People studying to be lawyers, doctors, consultants, and
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