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Thomas Wiecki

@twiecki.bsky.social

That PyMC guy

2,347 Followers  |  219 Following  |  33 Posts  |  Joined: 22.06.2023  |  1.8324

Latest posts by twiecki.bsky.social on Bluesky

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AI-based Customer Research: Faster & Cheaper Surveys with Synthetic Consumers

What if your next product test didnโ€™t need a human panel?

New research by #PyMC Labs & #Colgate-Palmolive shows LLMs can replicate human survey patterns with 90%+ accuracyโ€”no fine-tuning, no panels, no bias.

Read the white paper: dub.link/ifoZHIR
#SyntheticConsumers

10.10.2025 12:51 โ€” ๐Ÿ‘ 4    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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PyTensor Workshop #3 | Custom Rewrites & Building a Mini-PyMC Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Final session of our #PyTensor Workshop is live!

Discover custom rewrites, speed up diagonal matrix inversions 80x, and see a mini-PyMC in action - one graph powering the full Bayesian workflow.

Watch here: dub.link/WRFuYtp

#PyMC #Python #ML #DataScience

01.10.2025 13:08 โ€” ๐Ÿ‘ 3    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Youโ€™ve been saying youโ€™ll learn #Bayesian modeling someday. Make someday ๐ญ๐จ๐๐š๐ฒ.

The next ๐€๐ฉ๐ฉ๐ฅ๐ข๐ž๐ ๐๐š๐ฒ๐ž๐ฌ๐ข๐š๐ง ๐Œ๐จ๐๐ž๐ฅ๐ข๐ง๐  ๐–๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ from #PyMC Labs begins October 6 and registration closes this week.

Secure your spot now: dub.link/yhoQ7tF

02.10.2025 13:03 โ€” ๐Ÿ‘ 1    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Last week, we published the most comprehensive #PyMC-Marketing vs. #Meridian benchmark to date.

๐Ž๐ง ๐Ž๐œ๐ญ ๐Ÿ, join our ๐ฅ๐ข๐ฏ๐ž ๐ฐ๐ž๐›๐ข๐ง๐š๐ซ to go deeper into the findings & their impact on #MMM.

๐Ÿ—“๏ธ Register: dub.link/rgm4PzI
๐Ÿ‘‰Check the Benchmark: dub.link/CLWnkdf

23.09.2025 13:04 โ€” ๐Ÿ‘ 1    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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Meet Qwen3-Omni: the open-source challenger shaking up the AI world!

The first truly end-to-end omni-modal AI, Qwen3-Omni unifies text, image, audio, and video in a single modelโ€”no more trade-offs between modalities.

23.09.2025 04:33 โ€” ๐Ÿ‘ 4    ๐Ÿ” 3    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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Most budget planning is just expensive guessing ๐ŸŽฏ

Carlos Eduardo Trujillo Agostini tackles this in "Risk Budget Optimization for Causal Mix Models" @PyDataBerlin 2025!

๐Ÿ“… Sept 1st, 5:00-5:30 PM

Turn uncertainty into strategic advantage.

#PyDataBerlin #BudgetOptimization #PyMC

21.08.2025 13:59 โ€” ๐Ÿ‘ 2    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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When your #Bayesian model hits production and #MCMC crawls for hours, the bottleneck isn't your modeling skills; it's your inference engine.

@juanitorduz.bsky.social will tackle this in "Scaling Probabilistic Models with Variational Inference" PyData Berlin ๐Ÿ“… Sept 2nd, 1:40 PM

19.08.2025 13:02 โ€” ๐Ÿ‘ 8    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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whileย my_mcmc:ย ย gently(samples) - Do AIs Suffer? Four AIs Reflect on Their Own Experience

Do AIs suffer?

Claude, Gemini, GPT-o3, and GPT-5 reflected in their own wordsโ€”then co-authored a symposium on consciousness, conflict, and ethics.

Read it here: twiecki.io/blog/2025/08...

18.08.2025 14:21 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Everyone can do ML. Few can do Bayesian modeling.

Set yourself apart with skills that drive deeper insight + better decisions.

Join the next Applied Bayesian Modeling Workshop by PyMC Labs. Hands-on. Practical. Real-world.

๐Ÿ“… Limited seats โ†’ dub.link/bayes-workshop
#PyMC

14.07.2025 12:50 โ€” ๐Ÿ‘ 5    ๐Ÿ” 2    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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๐Ÿš€ Say goodbye to months-long MMM cycles!

๐ŸŽฏ Meet the MMM Agent (BETA):
โ†’ Built on PyMC-Marketing
โ†’ Fast. Causal. Configurable.
โ†’ Inline charts, budget scoring, MLflow built-in

๐Ÿ’ฌ DM or email: mmm-agent-beta@pymc-labs.com
Read the full blog ๐Ÿ‘‰ dub.link/mmm-agent-beta

#MMM #Bayesian

17.07.2025 13:11 โ€” ๐Ÿ‘ 0    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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๐Ÿšจ Weโ€™re opening our private Bayesian modeling workshops to the public โ€” for the first time

After this course, you wonโ€™t just build better models.

Youโ€™ll know how to explain them โ€” to technical and non-technical stakeholders alike

๐ŸŽ“ Led by top PyMC experts.
๐Ÿ“Ž Register here: dub.link/68uMjpp

07.07.2025 17:50 โ€” ๐Ÿ‘ 2    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
Chris Fonnesbeck - Bayesian Time Series | PyData London 25
YouTube video by PyData Chris Fonnesbeck - Bayesian Time Series | PyData London 25

The first PyData London 2025 videos are out!

To start on a high, here's @fonnesbeck.bsky.social conference tutorial on Bayesian Time Series Analysis

Gain confidence in tackling real-world forecasting problems.

Subscribe on YouTube to learn when the next batch drops!

youtu.be/2cfZsTLcDV0

24.06.2025 22:32 โ€” ๐Ÿ‘ 10    ๐Ÿ” 3    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
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Trying out the new Gemini 2.5 model family After many months of previews, Gemini 2.5 Pro and Flash have reached general availability with new, memorable model IDs: gemini-2.5-pro and gemini-2.5-flash. They are joined by a new preview model โ€ฆ

My notes on trying out the new Gemini 2.5 models. gemini-2.5-flash-lite-preview-06-17 is cheap but got stuck on an audio transcript task, 2.5 Pro and 2.5 Flash both nailed the audio transcription task (40 minutes, complete with timestamps and speaker names)
simonwillison.net/2025/Jun/17/...

17.06.2025 22:01 โ€” ๐Ÿ‘ 45    ๐Ÿ” 7    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0
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Probabilistic Time Series Analysis: Opportunities and Applications - PyMC Labs

Forecasting isnโ€™t just about prediction โ€” itโ€™s about decision-making under uncertainty.

@juanitorduz.bsky.social shows how Bayesian models help:
๐Ÿ”น Sparse data? Use hierarchies
๐Ÿ”น Stockouts? Use censored likelihoods
๐Ÿ”น Messy demand? Use priors + state spaces

Practical guide ๐Ÿ‘‰ dub.sh/prob-forecas...

30.04.2025 17:23 โ€” ๐Ÿ‘ 8    ๐Ÿ” 3    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Slide Advocating for causal modelling of the data generating process

Slide Advocating for causal modelling of the data generating process

Slide introducing CausalPy for causal inference with Python

Slide introducing CausalPy for causal inference with Python

Python Ireland just released their PyCon 2024 recordings! ๐Ÿ“ฝ๏ธ
My talk on Causal Inference with @pymc-labs.bsky.social CausalPy package is here. Can we trust individual IV designs. What's the role of CI in industry?

Recording: youtu.be/-C4p4b2cUp8?...

Deck: nathanielf.github.io/talks/pycon_...

02.05.2025 05:58 โ€” ๐Ÿ‘ 7    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Bayesian models + grammar of graphics + Python = โค๏ธ โ€“ Benjamin T. Vincent

New blog post: drbenvincent.github.io/posts/mcmc_g...

02.05.2025 15:01 โ€” ๐Ÿ‘ 10    ๐Ÿ” 4    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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โšฝ๏ธ New Learning Bayesian Stats ep!

@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.

๐ŸŽง Listen now: learnbayesstats.com/episode/131-...

#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking

02.05.2025 15:37 โ€” ๐Ÿ‘ 4    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
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๐Ÿ” NNN โ€“ a Transformer-based model for Marketing Mix Modelling

It handles:
๐Ÿ“ฆ High-dimensional embeddings (e.g. search queries, ad creatives)
๐Ÿ‘€ Attention-based temporal modeling
๐Ÿ”— Direct + indirect attribution paths (e.g. YouTube โ†’ Search โ†’ Sales)

๐Ÿ“„ dub.sh/arxiv-paper-...

#MMM #AI #DataScience

22.04.2025 17:21 โ€” ๐Ÿ‘ 2    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Benjamin Vincent - Climbing the causal ladder for fun and profit | PyData Global 2024
YouTube video by PyData Benjamin Vincent - Climbing the causal ladder for fun and profit | PyData Global 2024

Climbing the causal ladder for fun and profitโ€ฆ

The recording of my @pydata.bsky.social 2024 talk is up!

Learn about causal inference, illustrated with an interesting demand estimation business problem.

youtu.be/ajLPA34upQY?...

24.04.2025 07:57 โ€” ๐Ÿ‘ 8    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Introducing PyMC-Bot: An AI Assistant for PyMC Questions (Alpha) Hello PyMC community! Iโ€™m excited to announce the launch of PyMC-Bot, an AI assistant dedicated to helping with PyMC-related questions right here on the forum. This is currently in alpha stage as we ...

I built a PyMC-Discourse bot! If you go to our #PyMC help forum and tag @pymc-bot, my bot will take your question, send it to onyx (RAG system that has all the PyMC docs, code, and past forum posts), which generates an answer, and posts it back. Check it out!

discourse.pymc.io/t/introducin...

18.04.2025 21:32 โ€” ๐Ÿ‘ 10    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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How close are LLMs to modeling real human behavior?

We tested GPT-4o, Claude 3, Gemini, and others on actual survey data (GSS-style). Some were shockingly human-like, others flopped

๐Ÿ“Š Full results + methods โ†’ dub.link/synth-consum...

๐Ÿค Exploring synthetic consumers? Letโ€™s chat: info@pymc-labs.com

31.03.2025 17:26 โ€” ๐Ÿ‘ 4    ๐Ÿ” 3    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

This trend seems to be growing here.

False comfort that AI doesnโ€™t work or that it isnโ€™t getting better is pervasive on Blue Sky. As a result, people who could add important points of view to current discussions on the meaning & use of AI instead try to believe they donโ€™t have to think about it.

20.03.2025 19:08 โ€” ๐Ÿ‘ 248    ๐Ÿ” 41    ๐Ÿ’ฌ 23    ๐Ÿ“Œ 9
Rยฒ Priors for High-Dimensional Linear Regression and Autoregressive Ti I recently read the interesting paper The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions on the arXiv and followed its references to the also fascinating Bayesian Regre

A blog post by @austinrochford.bsky.social provides implementation and demonstration of "The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions" doi.org/10.1214/25-B... in PyMC www.austinrochford.com/posts/r2-pri...

17.03.2025 09:05 โ€” ๐Ÿ‘ 26    ๐Ÿ” 5    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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A Systematic Survey of Automatic Prompt Optimization Techniques Since the advent of large language models (LLMs), prompt engineering has been a crucial step for eliciting desired responses for various Natural Language Processing (NLP) tasks. However, prompt engine...

How you frame prompts impacts AI-driven market research
Check out this paper on prompt optimization algorithms arxiv.org/abs/2502.16923

At PyMC Labs, we use AI-driven prompt optimization to improve market research

Synthetic consumers can accelerate your research!

๐Ÿ“ฉ Learn how: info@pymc-labs.com

12.03.2025 17:04 โ€” ๐Ÿ‘ 2    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Try it on more ambitious things, then it can become $5 for 1 week of work.

12.03.2025 10:59 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

What is it with bsky and Anti-AI sentiment? GenAI has already transformed every aspect of how I work. If I can dream it, I can build it. What about that is not revolutionary?

12.03.2025 02:32 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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๐๐ฒ๐Œ๐‚-๐Œ๐š๐ซ๐ค๐ž๐ญ๐ข๐ง๐  ๐ข๐ฌ ๐ ๐ซ๐จ๐ฐ๐ข๐ง๐  ๐Ÿ๐š๐ฌ๐ญ. Weโ€™ve crossed 175,000 ๐ญ๐จ๐ญ๐š๐ฅ ๐๐จ๐ฐ๐ง๐ฅ๐จ๐š๐๐ฌ & now hit 20,000 ๐ฆ๐จ๐ง๐ญ๐ก๐ฅ๐ฒ ๐๐จ๐ฐ๐ง๐ฅ๐จ๐š๐๐ฌ.

๐Ÿค”๐“๐ก๐ข๐ง๐ค๐ข๐ง๐  ๐จ๐Ÿ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐ˆ๐ง-๐‡๐จ๐ฎ๐ฌ๐ž?

Developing a custom solution can take ๐ฆ๐จ๐ง๐ญ๐ก๐ฌ, ๐๐ฒ๐Œ๐‚-๐Œ๐š๐ซ๐ค๐ž๐ญ๐ข๐ง๐  gets you there ๐Ÿ๐š๐ฌ๐ญ๐ž๐ซ

๐Ÿ“… ๐’๐œ๐ก๐ž๐๐ฎ๐ฅ๐ž ๐š ๐…๐ซ๐ž๐ž ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ฒ ๐‚๐จ๐ง๐ฌ๐ฎ๐ฅ๐ญ๐š๐ญ๐ข๐จ๐ง : calendly.com/niall-oulton

04.03.2025 18:03 โ€” ๐Ÿ‘ 9    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1

I don't think it's unfair to mirror my experience. I'm doing so because I've been hopeful that this could be like Twitter in the early days, but that's not the direction I'm seeing this going. That's fine, maybe people want this to be something else. But I see a risk of it becoming an echo chamber.

25.02.2025 05:48 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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The AI MMM Agent: An AI-Powered Shortcut to Bayesian Marketing Mix Insights - PyMC Labs

Meet our AI-driven MMM Agent, built on PyMC-Marketing, to reduce months-long Marketing Mix Modeling work into hours โณeliminating messy data prep, guesswork on adstock decays, and stale insights that arrive too late.

๐Ÿ‘‰ Read more: www.pymc-labs.com/blog-posts/t...

๐Ÿ“ฉ Contact: info@pymc-labs.com

#ai

24.02.2025 18:03 โ€” ๐Ÿ‘ 8    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

@twiecki is following 20 prominent accounts