Dean Abbott

@PropCazhPM @DaqingZhao how about a George Box quote corollary: "no data is clean, but most is useful". #tdwiaccelerate

Finished my workshop on automl + GenAI at #MLWeek last week. I'm loving being able to introduce ideas into prompts for Claude and/or ChatGPT to do things I love doing but rarely see and get code to execute (it wrote over 6000 lines of code for me to use in demos...I created these within a few hours). One example is using ISLE (minitab.com/content/dam/ww…) which compresses GBM ensembles: reducing # of trees and tends to be more accurate on hold-out data. Prompt->code->run it.

Appreciate the insights on why LLMs struggle with breaking news. I wonder how many humans are employed to fix them? This is why I recommend to those who ask me to not use LLMs open loop for mission critical tasks without human validation. open.substack.com/pub/garymarcus…

@Onanaroghene @pmddomingos If it’s truly A*G*I (emphasis on G) then we would expect broad areas with dramatic progress. If the dramatic progress is in a few areas , that’s great but not “general intelligence”

@pmddomingos why would agi require all of them

It's really quite simple. There's been dramatic progress in some areas of AI but not others, and AGI requires all of them. Firmly ignore all attempts to obfuscate that.

@bdubsports_ if he had run through he would have been safe. Sliding slowed him down.

The Blue Jays were this close from winning the World Series WOW WHAT A GAME

@CorpsScores Bluecoats won brass finals night.

Indianapolis IN #dci2025 #dcifinals 01 Boston Crusaders-98.425 02 Bluecoats-98.25 03 Santa Clara Vanguard-96.7 04 Blue Devils-95.788 05 Carolina Crown-94.8 06 Phantom Regiment-94.3 07 Mandarins-92.825 08 Blue Stars-91.175 09 Cavaliers-90.8 x 10 Troopers-90.05 11 Colts-88.05 12 Blue Knights-87.45 Bluecoats-Visual, GE Boston Crusaders-Guard, Brass, Drums Blue Stars-DM dci.org/scores/recap/2…

@BestlnTheGame @CorpsScores And the props are toned down this year. Complement rather than dominate the visuals.

@CorpsScores What a season we have on our hands

Denton TX #dci2025 World 1 Bluecoats-90.3 2 Boston Crusaders-90.15 3 Santa Clara Vanguard-88.1 4 Carolina Crown-86.35 5 Spirit of Atlanta-78.1 6 Pacific Crest-77.35 7 Seattle Cascades-72.65 8 Genesis-71.65 Open 1 Zephyrus-65.2 dci.org/scores/recap/2…

@CorpsScores whoa! Boston starts with a win!

Fort Collins CO #dci2025 World 01 76.2 Boston Crusaders! 02 75.4 Blue Devils 03 68.25 Colts 04 67.75 Troopers 05 65.95 Blue Knights dci.org/score/recap/20…

@Chris_Broussard @FTFonFS1 Didn’t Wildes say Indy by 8?

Wildes coming with the basic, elementary graphics!

🧠 Predictive or generative AI? Why not both. Join Dean Abbott at #MLWeek for a session on hybrid AI for retail fraud detection. 📅 June 3 | ⏰ 10:30 AM 🔗machinelearningweek.com/session/predic… #machinelearning @deanabb

@pmddomingos we have lost about 1 year in value. by comparison, the 2008 crash lost > 10 years of value. It isn't good, of course, but it's too early to tell if it's really a problem or just a knee-jerk reaction that will correct.

No amount of job creation can make up for the trillions of dollars of value destroyed this week.

@FTFonFS1 @getnickwright @kevinwildes @Chris_Broussard you got your 15 points Wildes!

🚨 There is an Upset Alert rules & scoring Championship Weekend Addendum 🚨 TLDR; it’s anyone’s game 👀 @getnickwright | @kevinwildes | @Chris_Broussard

Read my latest in @Forbes: When #machinelearning fails to detect misinformation, medical conditions or spam, the cost of each error is subjective. Here’s how to apply #predictiveAI nonetheless. forbes.com/sites/ericsieg…

@CorpsScores Thanks for keeping us all up-to-date this season!

@CorpsScores 🤣

@CorpsScores Best closer this year!

Indianapolis IN DCI World Championship Finals #dci2024 #dcifinals World 04. 95.225 Phantom Regiment

Read my latest @Forbes article. Stakeholders involved with #predictiveAI must ramp up on a semi-technical understanding that comes down to 1) what's predicted, 2) how well, and 3) what's done about it. forbes.com/sites/ericsieg… #bizML

I'll be back at Machine Learning Week, EU, this year in Munich! Changing my workshop to an AutoML/Predictive AI/Generative AI topic this time. Hope to see many of you there! #MachineLearning #AI #Workshop #MachineLearningWeekEU #PredictiveAnalytics

@miramurati Saw xx

At OpenAI, we’re working to advance scientific understanding to help improve human well-being. The AI tools we are building, like Sora, GPT-4o, DALL·E and ChatGPT, are impressive from a technical standpoint. But what really matters is how they’re starting to change the way we interact with information and ideas. A few years ago, in my essay "Language & Coding Creativity", I wrote about how these systems represent a big shift in our relationship with language and creativity. As we keep improving these tools, our mission stays the same: to make them helpful, safe, easy to use, and available to as many people as possible. We want to help reduce the obstacles that have traditionally kept people from expressing their unique ideas and perspectives. By carefully designing these technologies to collaborate with human creators, I think we can build wonderful tools to help artists have more control, be more innovative, and explore new frontiers of possibility. When we made DALL·E, we worked closely with artists, designers, and storytellers, trying to build a tool that fits into their creative process and helps bring their visions to life. Moving forward, I believe AI has the potential to democratize creativity on an unprecedented scale. A person’s creative potential should not be limited by their access to resources, education, or industry connections. AI tools could lower the barriers and allow anyone with an idea to create. At the same time, we must be honest and acknowledge that AI will automate certain tasks. Just like spreadsheets changed things for accountants and bookkeepers, AI tools can do things like writing online ads or making generic images and templates. But it's important to recognize the difference between temporary creative tasks and the kind that add lasting meaning and value to society. With AI tools taking on more repetitive or mechanistic aspects of the creative process, like generating SEO metadata, we can free up human creators to focus on higher-level creative thinking and choices. This lets artists stay in control of their vision and focus their energy on the most important parts of their work. To make sure these technologies are developed and used in a way that does the most good and the least harm, we work closely with red-teaming experts from early stages of research. We also use an iterative approach, gradually releasing tools and carefully studying how they impact the real world to guide future development. Protecting and strengthening the most valuable aspects of creativity is fundamental to our human experience.  Realizing the potential of AI is not guaranteed. It takes carefully building tools and using them responsibly, in close partnership with creators and communities they’re intended to benefit. This means putting strong safeguards in place, reducing harmful biases, and proactively dealing with potential negative effects. At OpenAI, this is at the core of how we work, and we’ve never wavered in our commitment to this as we've released new tools.

👇 Devastating new paper. The lack of reliable world models will forever hobble LLMs (exactly as I conjectured in 2019).

So glad you found it so helpful! Thanks for your comments and questions during the workshop.