Handshake✓
@joinHandshake
Building the future workforce of the AI economy 🤝
351 Following12.1K Followers3.2K Posts
- AI skills can help you get ahead. Curiosity, creativity and ownership will help you stand out. Our Chief Education and Workforce Officer @juliastiglitz joined Greg Shove on Supercompanies to share why these enduring skills matter so much. That thoughtful perspective informs her work leading Handshake’s AI Skills Studio, where learners build real-world AI skills through hands-on projects, putting their ideas and curiosity into practice.219514
- Two ATLAS benchmarks are now on @FireworksAI_HQ’s Specialized Intelligence Index, one for finance and one for life sciences, both built with experts from those fields. ATLAS - Finance puts models through 100 tasks from complex deal work like LBO modeling, structured finance, and M&A. The best model scores 12.3%. ATLAS - Visual Life Sciences tests whether models understand the images scientists work with in drug development. The best model scores 49.9%. @nishantXranka on both benchmarks and what we learned building them:
05151.2K - ATLAS-Finance is featured in @airstreet’s 2026 State of AI Report. A frontier model scores 100% on structured accounting tasks but only 12.3% on our 100 banking assignments, where passing means a correct workbook delivered the way a bank would expect. @nathanbenaich’s full report:Jonas Mueller @jomulrClaude scored 100% on structured accounting tasks, but succeeded in only 12% of full banking assignments. Being good at individual financial tasks is different from delivering actual financial work inside an enterprise. @airstreet's 2026 State of AI Report highlights this gap using our ATLAS-Finance benchmark. In 2026, AI delivered outsized value to software engineers and vibe coders. 2027 will be a breakout year for financial agents, driven by high-fidelity evaluations like ATLAS-Finance and RL environments that train agents to accurately produce high-value deliverables.41141.3K
Claude scored 100% on structured accounting tasks, but succeeded in only 12% of full banking assignments. Being good at individual financial tasks is different from delivering actual financial work inside an enterprise. @airstreet's 2026 State of AI Report highlights this gap using our ATLAS-Finance benchmark. In 2026, AI delivered outsized value to software engineers and vibe coders. 2027 will be a breakout year for financial agents, driven by high-fidelity evaluations like ATLAS-Finance and RL environments that train agents to accurately produce high-value deliverables.
23182K- Meta’s Muse Spark 1.3 Evaluation Report describes the human red teaming Handshake’s team did before Muse launched (section 3.1.4.2). Pre-release access, jailbreaks found through the product, full trajectories and analysis sent back, mitigations improved before release. Report:25121.7K
- Exciting to see @joinHandshake alongside some of the teams advancing the next generation of AI. Proud to be part of @nvidia's Nemotron ecosystem!
44192K - ChatGPT for Education analyzed thousands of professional chats with AI. After removing routine tasks like email and calendaring, a little over 40% of what remained was people asking questions and doing work outside their role. Roles are blurring. That makes skills-based and project-based hiring more important than ever: people are stretching beyond their job descriptions, and employers increasingly want that flexibility too.1281.1K
- Handshake works with thousands of working scientists to measure where frontier AI falls short on real research tasks, and to build the data that closes the gap.Jonas Mueller @jomulrWe tested Gemini 4, Muse Wonder, GPT-6.1 Sol, and Claude Opus/Sonnet 5.5 on images scientists interpret at work. None beats GPT-6 Astra, which fails on 50% of the 161 images. How can lab-in-the-loop AI cure disease if models can't interpret the routine experimental results?003818
- We tested Gemini 4, Muse Wonder, GPT-6.1 Sol, and Claude Opus/Sonnet 5.5 on images scientists interpret at work. None beats GPT-6 Astra, which fails on 50% of the 161 images. How can lab-in-the-loop AI cure disease if models can't interpret the routine experimental results?
44131.3K - Congratulations to @reflection_ai on Beam, released today with a full safety report. Handshake is named in the report as a source for the conversations Beam was tested against, and among the partners who tested the model before release. Safety testing is expert work. Before a model ships it has to face the requests that matter: self-harm, child safety, cyber offense, fraud. The hard cases are not the obvious ones. A nurse or a researcher can ask something that sounds dangerous and isn’t. Someone has to write that case and decide where the safe answer ends. Our people wrote those cases for Beam and judged every turn. Making AI safe takes the same expert judgment as making it useful, and we do both. Report:Reflection @reflection_aiBeam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners. We're releasing: - Weights, tokenizer, and reference implementation - BF16, FP8 and NVFP4 weights and a DFlash2 drafter - The open source harness we built and trained Beam on: Mirror CLI Weights and model card on Hugging Face:01152.2K
Reflection@reflection_aiBeam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners. We're releasing: - Weights, tokenizer, and reference implementation - BF16, FP8 and NVFP4 weights and a DFlash2 drafter - The open source harness we built and trained Beam on: Mirror CLI Weights and model card on Hugging Face:
160201954518K- Handshake AI is advancing open models with expert dataNVIDIA AI @NVIDIAAIMeet NVIDIA Nemotron 3.5 Super VL Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents. 120B total parameters with 12B active 🧵12151.2K
- We collaborated with @NVIDIA AI to post-train Nemotron 3.5 Super VL on over 2,000 data points from experts on top enterprise R&D teams, doubling its accuracy on life sciences artifact interpretation. @joinHandshake is building accurate, efficient models to let researchers accelerate their work and focus on the scientific decisions that drive discovery. Read the research report:
57456.2K - Fellows: your dashboard is changing so you can see what you earned, how it was calculated, and when it lands. You’ll see base pay, incentives, and adjustments by project, plus a reason for every change and payment status. Rolling out across projects over the next few weeks. Full update here:1093K
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