Whitney Sales

CRO @ ThoughtForge AI. Creator of The Sales Method. GP @ForumVentures. AIF. Robotics.

[Whitney Sales @thesalesmethod]

@IntuitMachine @lancelotdacosta This is exactly what we’re doing at https://t.co/s7EFCELoAb. 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.

[Whitney Sales @thesalesmethod]

@charleswangb We should talk. I’m with https://t.co/s7EFCELWpJ - 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.

[Whitney Sales @thesalesmethod]

@MindiaWichert Couldn’t agree more. Check out https://t.co/s7EFCELWpJ. AIF based robotic control modeling already deployed on robots.

[Whitney Sales @thesalesmethod]

@lexmutatio @GavinSBaker Check out https://t.co/s7EFCELWpJ

[Whitney Sales @thesalesmethod]

@Luck_x_Luck Check out https://t.co/s7EFCELWpJ

[ROM 🥔 @i_dg23]

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)](https://t.co/g9WRt5Kgql).

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)](https://t.co/rVFFMe8BFc).

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)](https://t.co/vQ4esAyfW7).

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)](https://t.co/NalqxoKubG).

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)](https://t.co/w0RwcI2JIv).
- 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)](https://t.co/iqwmCxTPBW).

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)](https://t.co/yGWUykjGyF).

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)](https://t.co/RsfjMuuiWy), [(van de Laar et al., 2023)](https://t.co/jcJgNx1EeA).

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.

[PeakMetrics ⛰ @peakmetricsapp]

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.

[Whitney Sales @thesalesmethod]

Five Tips for Extending Runway Using Working Capital https://t.co/utH5o8o27M

[Whitney Sales @thesalesmethod]

"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 https://t.co/8DuuaDwqQN

[Whitney Sales @thesalesmethod]

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

[Whitney Sales @thesalesmethod]

@Boomchickapop bring back the Siracha boomchickapop

[Whitney Sales @thesalesmethod]

Brilliant! ❤️

[Whitney Sales @thesalesmethod]

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.

[Auren Hoffman @auren]

most smart people over-value optionality and under-value commitment

[Arianna Huffington @ariannahuff]

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: https://t.co/FD760VKbsZ

[Forum Ventures @forumventures]

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)

https://t.co/jiyzzYh9l3

[Shreyas Doshi @shreyas]

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

[Peter Reinhardt @reinpk]

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

[Range @RangeDotCo]

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)
https://t.co/MzIJiDmfze

[Whitney Sales @thesalesmethod]

One of our founders just shared this with me. This is a must-watch for any homogenous team - https://t.co/ESieBAZes5

[Whitney Sales @thesalesmethod]

@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