Glad to share that our paper "Closed-Form Diffeomorphic Transformations for Time Series Alignment" has been accepted at #ICML2022 , the leading international academic conference in machine learning. https://t.co/JvBCmvfAd2 #deeplearning#machinelearning#timeseries#alignment
Last quarter I rolled out Microsoft Copilot to 4,000 employees.
$30 per seat per month.
$1.4 million annually.
I called it "digital transformation."
The board loved that phrase.
They approved it in eleven minutes.
No one asked what it would actually do.
Including me.
I told everyone it would "10x productivity."
That's not a real number.
But it sounds like one.
HR asked how we'd measure the 10x.
I said we'd "leverage analytics dashboards."
They stopped asking.
Three months later I checked the usage reports.
47 people had opened it.
12 had used it more than once.
One of them was me.
I used it to summarize an email I could have read in 30 seconds.
It took 45 seconds.
Plus the time it took to fix the hallucinations.
But I called it a "pilot success."
Success means the pilot didn't visibly fail.
The CFO asked about ROI.
I showed him a graph.
The graph went up and to the right.
It measured "AI enablement."
I made that metric up.
He nodded approvingly.
We're "AI-enabled" now.
I don't know what that means.
But it's in our investor deck.
A senior developer asked why we didn't use Claude or ChatGPT.
I said we needed "enterprise-grade security."
He asked what that meant.
I said "compliance."
He asked which compliance.
I said "all of them."
He looked skeptical.
I scheduled him for a "career development conversation."
He stopped asking questions.
Microsoft sent a case study team.
They wanted to feature us as a success story.
I told them we "saved 40,000 hours."
I calculated that number by multiplying employees by a number I made up.
They didn't verify it.
They never do.
Now we're on Microsoft's website.
"Global enterprise achieves 40,000 hours of productivity gains with Copilot."
The CEO shared it on LinkedIn.
He got 3,000 likes.
He's never used Copilot.
None of the executives have.
We have an exemption.
"Strategic focus requires minimal digital distraction."
I wrote that policy.
The licenses renew next month.
I'm requesting an expansion.
5,000 more seats.
We haven't used the first 4,000.
But this time we'll "drive adoption."
Adoption means mandatory training.
Training means a 45-minute webinar no one watches.
But completion will be tracked.
Completion is a metric.
Metrics go in dashboards.
Dashboards go in board presentations.
Board presentations get me promoted.
I'll be SVP by Q3.
I still don't know what Copilot does.
But I know what it's for.
It's for showing we're "investing in AI."
Investment means spending.
Spending means commitment.
Commitment means we're serious about the future.
The future is whatever I say it is.
As long as the graph goes up and to the right.
Here’s an early preview of ElevenLabs Music.
All of the songs in this thread were generated from a single text prompt with no edits.
Title: It Started to Sing
Style: “Pop pop-rock, country, top charts song.”
A scalable framework for annotating photovoltaic cell defects in electroluminescence images
https://t.co/9F4QSVmdXp
by Urtzi Otamendi et al. including @Inigoml#AnomalyDetection#DeepLearning
Construction of I95 in Miami required the forcible relocation of over 12,000 residents—nearly 100% of them black. Using eminent domain, the gov't seized buildings across the heart of Miami's black community in Overtown, offering owners well below market rate—and renters nothing.
En 1997, la revista Wired publicó un monográfico "los próximos 25 años serán increíblemente prósperos para la humanidad" y añadieron un recuadro que decía "a menos que ocurra uno o dos de estos diez eventos". Te dejo disfrutar. (Fuente: https://t.co/U21zMEysNi)
📢PDF files here:
Proceedings of the 39th International Conference on Machine Learning (#ICML2022).
Published as Volume 162 by the Proceedings of Machine Learning Research on 28 June 2022.
https://t.co/iJRQSTjsCc
We trained a neural network to competently play Minecraft by pre-training on a large unlabeled video dataset of human Minecraft play and a small amount of labeled contractor data. https://t.co/a2pyBqvLvg
Nonsense on Stilts.
A hot take on all this “OMG. LaMDA is Sentient” mania—and why the AI community is pretty united on this one.
https://t.co/4IzUh35y9n
This discussion between a Google engineer and their conversational AI model helped cause the engineer to believe the AI is becoming sentient, kick up an internal shitstorm and get suspended from his job. And it is absolutely insane. https://t.co/hGdwXMzQpX