We're sharing a comprehensive study of Perplexity Computer in real-world deployment in collaboration with Harvard Computer is more cost and time-efficient, unlocks cross-disciplinary search beyond the reach of multi-step search, and provides higher autonomy and quality in the
INNOVATION
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Perplexity and Harvard Research: Autonomous Agents 87% Faster, 94% Cheaper
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We have published new research with Harvard on the transition from chat interfaces to autonomous agents like Computer. Over 3 months, the results show that workers using Computer complete tasks in 87% less time and at 94% less cost.
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ABB Robotics integrates NVIDIA Omniverse to train robots with 99% accuracy
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ABB #Robotics Integrates NVIDIA Omniverse to Train Industrial #Robots with 99% Accuracy
— Ronald van Loon (@Ronald_vanLoon) 8 juin 2026
by @ABBRobotics
#Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/QUP0MAriKlABB #Robotics integrates NVIDIA Omniverse to train industrial #Robots with 99% accuracy
by @ABBRobotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Stanford HAI and d.school program for human-centered AI integration
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Are you part of an organization seeking to integrate AI? This fall, @StanfordHAI and @stanforddschool are offering an educational program to help you develop AI solutions that are not just technologically advanced, but deeply human. Move from AI experimentation to strategic
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Hivemind launches continual learning for AI coding agents
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New from Hivemind: continual learning for AI coding agents, available to everyone starting today.
— Chubby♨️ (@kimmonismus) 8 juin 2026
It takes the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, Pi) and turns them into reusable skills, then pushes those skills across all of them, all on… https://t.co/MFS1ZpCh4DNew from Hivemind: continual learning for AI coding agents, available to everyone starting today. It takes the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, Pi) and turns them into reusable skills, then pushes those skills across all of them, all on
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Epicure compresses 4.1 million food recipes into a 2MB model
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Researchers just squeezed 4.1M food recipes into one 2MB model. Food science has always lacked a universal map of ingredients. Chefs swap items by intuition, not by structure. A new paper called Epicure compresses all of human cooking into 2 megabytes. It trains on 4.1M
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Huawei’s Tau Scaling Law redefines AI inference bottleneck
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Most AI teams are optimizing the model.
— Ronald van Loon (@Ronald_vanLoon) 8 juin 2026
But the real bottleneck in inference is underneath it.
Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai.
It reframes how we think about AI performance entirely.
Here's the breakdown…#HuaweiPartner… pic.twitter.com/MvwfNu7ZisMost AI teams are optimizing the model. But the real bottleneck in inference is underneath it. Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai. It reframes how we think about AI performance entirely. Here's the breakdown… #HuaweiPartner
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ElevenLabs partners with UK to improve public service access via Voice AI
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Voice AI will fundamentally improve access to public services. We're partnering with the UK Government to make it easier to access information and services online – especially for people who are visually impaired, struggle to read, or have difficulty navigating the internet.
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SambaNova at Avnet SKO: AI infrastructure and superhero comics
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Premium inference, but make it comics We had a great time at the @Avnet SKO with Harry Ault talking about the future of AI infrastructure and agentic workloads, plus a few SambaNova superheroes making an appearance. Always a fun time partnering with Avnet!
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Anthropic reports 8x code, 52x optimization, and 64% better decisions
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Recursive self-improvement may no longer be just a theory.
Anthropic reports: 8x more code per engineer 76% success on open-ended coding tasks 52x training optimization Better research decisions than humans 64% of the time
The feedback loop is getting tighter.
#AI