Whitney Sales

@IntuitMachine @lancelotdacosta This is exactly what we’re doing at ThoughtForge.ai. We have customers and are deployed on robots. Tiny models that continue learning in real time post deployment at 99.7-99.9% dynamic accuracy.

@lancelotdacosta @WCHN_UCL Could you point me to someone in robotics who has used active inference as their framework? Thanks!

Our perspective: How #activeinference could help revolutionise robotics 🤖 & deliver adaptive, safe and explainable AI 🧠 has been nominated for a Best Paper Award 🥇🎉 Check it out doi.org/10.3390/e24030… @WCHN_UCL

@charleswangb We should talk. I’m with ThoughtForge.ai - AIF based robotic control that use 1/90,000 of the data required for traditional approaches. We have customers & are on robots. Our models are 20-50Kb, can operate at up to 80khz & perform at 99.7-99.9% dynamic accuracy.

IMO there is a deeper and harder problem underlying AIF: not so much about revolutionizing robotics (this paper below) but the necessity of inventing new theory of computation How Active Inference Could Help Revolutionise Robotics: mdpi.com/1099-4300/24/3…

@MindiaWichert Couldn’t agree more. Check out ThoughtForge.ai. AIF based robotic control modeling already deployed on robots.

There should be a robotics competition, where different theories of brain & behavior (Active Inference, PCT, Ecological Psychology, Embodied Cognition, etc) are implemented in robotic systems with the goal of completing behavioral tasks in dynamic/complex environments.

@lexmutatio @GavinSBaker Check out ThoughtForge.ai

@GavinSBaker Gavin, any thoughts on active inference as a competing model architecture for understanding of the world? Thinking robotics, for example.

1) Inflection will likely be the first of many VC-backed Foundation Model companies to fail. Foundation models without proprietary, real-time data AND massive distribution for RLHF are the fastest depreciating assets in history. youtu.be/MWE5LsO62wA?si…

@Luck_x_Luck Check out ThoughtForge.ai

Is there work combining active inference with robotics via backprop of "prediction error", to function as controller similar to PID?

Recent Impactful Research on AI and Active Inference (2023 onwards) Introduction Active inference is an advanced theoretical framework from computational neuroscience applied to AI for modeling perception, learning, and decision-making. Recent research has focused on enhancing its computational efficiency, extending its applications, and integrating it with modern AI techniques. Evidence 1. **Explainable AI Systems** - Albarracin et al. (2023) propose a framework for designing explainable AI systems using active inference, focusing on introspection and decision-making to create human-interpretable models [(Albarracin et al., 2023)](consensus.app/papers/designi…). 2. **Hebbian Learning Networks** - Safa et al. (2023) explore how brain-inspired neural ensembles equipped with Hebbian plasticity can perform active inference for controlling dynamical agents, outperforming traditional reinforcement learning methods without requiring replay buffers [(Safa et al., 2023)](consensus.app/papers/inferen…). 3. **Efficient Computation in Active Inference** - Paul et al. (2023) introduce a novel planning algorithm with reduced computational complexity and simplified target distribution setting, improving model learning and planning under uncertain conditions [(Paul et al., 2023)](consensus.app/papers/computa…). 4. **Reward Maximization** - Da Costa et al. (2023) clarify the connection between active inference and reward maximization, showing how active inference can produce Bellman optimal actions for planning horizons [(Da Costa et al., 2023)](consensus.app/papers/reward-…). 5. **Deep Active Inference** - Champion et al. (2023) deconstruct deep active inference agents, highlighting the differences between reward-maximizing agents and those minimizing expected free energy, and their impact on learned representations [(Champion et al., 2023)](consensus.app/papers/deconst…). - Nikita and Voskoboynikov (2023) propose a deep active inference model using generative adversarial networks to handle continuous action spaces, demonstrating its capability in realistic environments [(Nikita & Voskoboynikov, 2023)](consensus.app/papers/deep-ac…). 6. **Planning to Learn** - Hodson et al. (2023) introduce a sophisticated learning algorithm that incorporates active learning during planning, outperforming Bayesian RL schemes in complex environments requiring goal-seeking and active learning [(Hodson et al., 2023)](consensus.app/papers/plannin…). 7. **Synthetic Active Inference Agents** - Koudahl et al. (2023) and van de Laar et al. (2023) develop scalable synthetic active inference agents using variational message passing on free-form factor graphs, illustrating their application in tasks requiring information-seeking behavior [(Koudahl et al., 2023)](consensus.app/papers/realisi…), [(van de Laar et al., 2023)](consensus.app/papers/realisi…). Conclusion Recent research has significantly advanced the field of AI and active inference by improving computational efficiency, enhancing explainability, integrating deep learning methods, and developing novel algorithms for better planning and learning. These contributions demonstrate the versatility and potential of active inference in creating intelligent, adaptive systems.

We are thrilled to announce that PeakMetrics has secured $3M in seed funding to further empower governments and enterprises in identifying and combating online narrative threats. This investment was led by @yorkgrowth, with support from @ArgonVc, @ParameterVC & @CEASInvestments.

Five Tips for Extending Runway Using Working Capital link.medium.com/LXbm2MYgLEb

"The single biggest thing that separates people is the consistent ability to show up and do the work. The consequences of failing to show up consistently are getting the results you deserve but not the ones you want." Tiny Thought in fs.blog/brain-food/may…

What do you consider ‘on time’? IMO it’s within 3 mins of the start time. What about you?

@Boomchickapop bring back the Siracha boomchickapop

Brilliant! ❤️

I couldn’t agree more. This is a lesson I learned the hard way, but thankfully I’ve learned it. This advice applies to all areas of life, most importantly your commitments to yourself. The one thing I would add is to scale your commitments with time, information and reciprocity.

Loved creating my template series with @BalloonPlatform to help leaders prioritize habit changes, take action to redefine success, and build healthier and more productive teams. Check it out here: learn.getballoon.com/arianna

In Feb, we kicked off our Winter 2022 accelerator, and we could not be more excited about the founders we get to work with and the companies they’re building to change the way we, and the world, works, in meaningful ways. Meet the co’s! (a thread) forumvc.com/lookbooks/wint…

Being a PM is just saying these things until you retire: What is our goal here? Is there an agenda for this meeting? I'll take notes What is the status? Promising idea, but not now Biweekly, as in every other week Any way to get it done faster? We should sync more often

As Segment grew from open source afterthought to the leading customer data platform, we "refound" product market fit several times. Surprising to me as a product person, our biggest learnings in PMF were from wildly uncomfortable questions from our sales team 👀 a thread 1/14

We're excited to announce Goals—the easiest way to connect high-level goals to daily work. 🎯 Here's how it helps: 1️⃣ Stay focused on goals that matter 2️⃣ Share progress toward goals every day 3️⃣ Build goal updates into async check-ins and meetings (1/2) producthunt.com/posts/range-go…

One of our founders just shared this with me. This is a must-watch for any homogenous team - youtube.com/watch?v=B6uuIH…

@briannekimmel You'll fall into one of two categories: 1) Micromanager 2) Too nice micromanager - setup communication to build trust and transparency with your team too nice - set clear expectations around what success looks like + how to proactively engage w/you when things aren't working

What advice would you give to someone who is managing people for the first time?