
Dean Abbott
3.6K posts

Dean Abbott
@deanabb
Data Science & Machine Learning thought leader. Chief Data Scientist, Appriss Retail (@ApprissRetail). Author of Applied Predictive Analytics (Wiley).
San Diego Katılım Aralık 2008
300 Takip Edilen15K Takipçiler
Sabitlenmiş Tweet

@PropCazhPM @DaqingZhao how about a George Box quote corollary: "no data is clean, but most is useful". #tdwiaccelerate
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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…
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@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”
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@bdubsports_ if he had run through he would have been safe. Sliding slowed him down.
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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…
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@BestlnTheGame @CorpsScores And the props are toned down this year. Complement rather than dominate the visuals.
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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…
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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…
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Dean Abbott retweetledi

🧠 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

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@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.

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

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…
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Indianapolis IN DCI World Championship Finals #dci2024 #dcifinals
World
04. 95.225 Phantom Regiment
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Dean Abbott retweetledi

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
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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

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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.
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Dean Abbott retweetledi

👇 Devastating new paper. The lack of reliable world models will forever hobble LLMs (exactly as I conjectured in 2019).
Peter Jansen ( @peterjansen-ai.bsky.social )@peterjansen_ai
Can language models be used as world simulators? In our ACL 2024 paper, we show -- not really. GPT-4 is only ~60% accurate at simulating state changes based on common-sense tasks, like boiling water. Preprint: arxiv.org/pdf/2406.06485 @allen_ai @MSFTResearch @aclmeeting
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So glad you found it so helpful! Thanks for your comments and questions during the workshop.
Shreya Verma@_shawarma_18
Had an incredible time at @MLWeekUS ! The session on predictive and generative AI by @deanabb were truly insightful. Excited to apply what I've learned and see where this cutting-edge tech takes us next! #MLWeek #AI #MachineLearning
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@ronnyk fascinating...thanks for sharing the experiences. I love seeing the wrong but understandable decisions made but autonomous systems.
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The 2nd ride was not as smooth. It started at Pier 39, which has a pickup area.
The car picked us up in the pickup area, drove 10 feet, then stopped after a parked car (I believe empty taxi) in the pickup area.
After about two minutes of waiting, I called support.
The screen shows the car in white, and that it's planning to go straight, but these were all parked cars in the pickup area.
Whether support nudged it, or the car just figured it out after a while, it did go left to overtake them, and from there, everything was smooth.
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Took my first autonomous taxi ride yesterday with @Waymo in San Francisco. Not an easy city to drive in, but Waymo handled it well without a safety driver, as you can see from this one-minute segment, where a car stopped ahead of us and signaled it was going to take a while.
It felt very safe and smooth. I'm impressed.
Notes:
- I was sitting in the back seat
- The directions you hear are from Google maps, not from the Waymo, which just shows the display of how it's interpreting things
- The music is a country station I picked for the ride from Waymo's interface
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