Bad AI advice may turn doubt into false confidence.
A new paper suggests that AI can make people less willing to admit when they don’t know an answer. In experiments, incorrect AI advice made participants less accurate but more confident. https://t.co/LTra3FIExr
@IBM and @Google Cloud have launched a new strategic partnership aimed at helping enterprises move AI from pilots into production. https://t.co/BrK6E7WOoV
AI was supposed to buy us time. Instead, it is taking it.
A new study from Harvard Business Review found that enterprise AI made employees work faster, take on broader responsibilities, and log longer hours without being asked.
In my interview with James Muldoon on Love Machines:
We worry about AI taking jobs.
We ignore it taking up emotional space.
Link ↓https://t.co/ASW4e5WZeI
AI isn’t eliminating most jobs. It’s splitting them in two.
Those who learn to work with AI will surge ahead. Those who don’t will be left competing in a shrinking middle.
My deep dive for IBM on what AI really means for the future of work: https://t.co/SMx6nuUTrX
Just published: The AI world is quietly ditching leaderboards. 🧠
"You end up with a model that seems smart, but has memorized the test," @IBM Gabe Goodhart told me.
Story 🔗https://t.co/Xd3DLFzu6f
#AI#MachineLearning#IBM
🚨 Just launched: Quantum AI Brief — my free weekly newsletter decoding the intersection of quantum computing and artificial intelligence.
https://t.co/V9aDUNrV7V
Just published my latest piece for @IBM Think: "DeepSeek shows there's room for more AI players"
@ArvidKrishna: "There is no law of physics that dictates AI models must remain big and expensive"
https://t.co/EA2puXgCAB
#AI#Innovation#Technology#IBMResearch
Some personal news: After four years working on safety across @openai, I left in mid-November. It was a wild ride with lots of chapters - dangerous capability evals, agent safety/control, AGI and online identity, etc. - and I'll miss many parts of it.
Check out the latest article in my newsletter: AI Game-Changer: DeepSeek Challenges Industry Assumptions with $6M Breakthrough https://t.co/5CjNFwK2EN via @LinkedIn
Some personal news: TechCrunch and I have decided to part ways. It's been a learning experience and I met a lot of great folks there. If anybody is looking for an experienced newsroom leader with a history of training up young reporters to break news, give me a shout.
I am seeking an AI expert with expertise in world models to interview for a forthcoming article; the deadline is tomorrow. Get in touch at [email protected]
o1-mini is the most surprising research result i've seen in the past year
obviously i cannot spill the secret, but a small model getting >60% on AIME math competition is so good that it's hard to believe
congrats @ren_hongyu@shengjia_zhao for the great work!
Once again, an AI system is not "thinking", it's "processing", "running predictions",... just like Google or computers do.
Giving the false impression that technology systems are human is just cheap snake oil and marketing to fool you into thinking it's more clever than it is.
here is o1, a series of our most capable and aligned models yet:
https://t.co/yzZGNN8HvD
o1 is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it.