Precise, deterministic and explainable AI for enterprise-grade applications. Co-Founder and CEO at rainbird.ai
Joined February 2009
- Tweets 4,468
- Following 1,519
- Followers 1,568
- Likes 4,645
253 Photos and videos
Jun 12
Automation bias is a deep cognitive challenge for humans. We cannot consistently check LLM generated outputs. Human in the loop is not enough.
Jun 12
Amazing: KPMG wrote a report describing the successful use of AI by businesses. But the case studies turned out to be AI hallucinations.
giftarticle.ft.com/giftartic…
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James Duez retweeted
Jun 12
Amazing: KPMG wrote a report describing the successful use of AI by businesses. But the case studies turned out to be AI hallucinations.
giftarticle.ft.com/giftartic…
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James Duez retweeted
Feb 28
privacy won’t scale on luck — predictable encrypted compute is the real unlock
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James Duez retweeted
11 Nov 2025
Not saying this *is* the crash, but it is what the opening moments of a crash would look like.
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James Duez retweeted
22 Sep 2025
so let me get this right:
Oracle says Openai committed $300B for cloud compute → oracle stock jumps 36% (best day since 1992)
Oracle runs on Nvidia GPUs → has to buy billions in chips from Nvidia
Nvidia just announced they're investing $100B into openai
Openai uses that money to... pay oracle... who pays Nvidia... who invests in Openai
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James Duez retweeted
9 Sep 2025
“Gary Marcus calls the belief in LLM understanding one of ‘the most profound illusions of our time’"
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19 Aug 2025
When LLMs are outside their training zone, they don’t get worse at thinking… they reveal they were never thinking at all. We need neurosymbolic approaches that are grounded in logic, not just language. @RainbirdAI
19 Aug 2025
LLMs generate 'fluent nonsense' when reasoning outside their training zone venturebeat.com/ai/llms-gene…
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The saddest thing on my day is that @GaryMarcus is right.
I hate it!
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James Duez retweeted
8 Aug 2025
Sorry!!
If it makes you feel better, it’s a sad day for a lot of people.
The saddest thing on my day is that @GaryMarcus is right.
I hate it!
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James Duez retweeted
6 Aug 2025
"the best move may be to completely avoid relying on AI chatbots to provide factual information."
IMHO - AI companies have a problem they can't fix but rather than admit it & risk a crash, they've pushed their faulty tech into as many companies & govt systems as possible.
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James Duez retweeted
1 Aug 2025
6/ Anthropic isn’t chasing consumers it’s betting on businesses.
While Google integrates with Gmail and OpenAI powers ChatGPT.
Anthropic’s focus is different:
Build the best API for enterprise use.
Quietly becoming the backbone of AI in business.
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James Duez retweeted
19 Jul 2025
All the tech bros this morning thinking that AGI has been achieved because some (insanely expensive) new form of LLMs can now match top *high school students* on one specific task … it’s almost … cute! ☺️
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9 Jun 2025
Check out my latest article: Reality Check: What Apple's Study Tells Us About "Reasoning Models" linkedin.com/pulse/reality-c…
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James Duez retweeted
7 Jun 2025
BREAKING: Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all.
They just memorize patterns really well.
Here's what Apple discovered:
(hint: we're not as close to AGI as the hype suggests)
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26 Apr 2025
I just published "Automation Bias and the Deterministic Solution: Why Human Oversight Fails AI" medium.com/p/automation-bias…
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James Duez retweeted
3 Apr 2025
New Anthropic research: Do reasoning models accurately verbalize their reasoning?
Our new paper shows they don't.
This casts doubt on whether monitoring chains-of-thought (CoT) will be enough to reliably catch safety issues.
ALT Title card for the paper "Reasoning Models Don't Always Say What They Think", by Chen et al.
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11 Apr 2025
I am doing a 42k hike next month. If you're able to donate but haven't had a chance yet, please do. Every penny will make a world of difference to @macmillancancer. justgiving.com/fundraising/t…
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James Duez retweeted
25 Jan 2025
To people who think
"China is surpassing the US in AI"
the correct thought is
"Open source models are surpassing closed ones"
See ⬇️⬇️⬇️
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