Alexander Pluke

[Aaron Levie @levie]

The reason I’m insanely bullish on AI is that since starting Box, we have never seen a bigger shift in how we can work with our enterprise information than today.

AI completely revolutionizes how we can work with enterprise information. Since the mainframe era, it’s been relatively trivial to work with our *structured* data in an enterprise. We could query, compute, synthesize, summarize, and analyze anything that could be structured in a database - i.e. the data sitting in our ERP, CRM, and HR systems.

But it turns out this is only a small fraction of our corporate information. If you were to “weigh” the amount of data inside of an enterprise (in the form of raw storage), roughly 10% of it would be structured data, and 90% of it would be unstructured data. And our content — things like our documents, contracts, product specs, financial records, marketing assets and videos — makes up the vast majority of this corporate data. Yet for essentially the entire history of computing, we haven’t *really* been able to make sense of this information unless a human is involved. Of course we can store it, send it, share it, and search for it — but deeply understanding what’s inside this information in a way that computers can interact with intelligently has been near-impossible.

Well, for the first time ever, generative AI actually lets us talk to our unstructured data. Multimodal models especially allow us to process this content using a computer and essentially perform any task that a human can, but at infinite scale and speed. This is utterly game-changing when working with information in the enterprise. 

Instantly, our content goes from being digital artifacts that get touched once in a while, to a digital memory that anyone in the enterprise can tap into always. All of a sudden instead of the more information you have making things harder to find and make sense of, the opposite becomes true. And we enter a world where your digital information becomes one of your most valuable resources.

When we can turn our content into valuable knowledge, everything about how we work changes. A new employee instantly has access to the same expertise of someone who’s worked at a company for 15 years; when you can understand what’s inside of content — like contracts, invoices, or digital assets— and extract its structured data, you can automate nearly any workflow; and AI can let us classify and protect content with a level of precision that’s never been possible before to prevent threats and risks across the enterprise.

This is simply the biggest change we’ve ever seen with how we can work with our data, and this is what we’re building with Box AI.

In 1945, Vannevar Bush wrote a seminal article which outlined eerily insightful predictions, including the idea of the “Memex”, a new device “in which an individual stores all his books, records, and communications, and which is mechanized so that it may be consulted with exceeding speed and flexibility. It is an enlarged intimate supplement to his memory.”

The vision laid out imagined a future where the more knowledge and information your “computer” had, the smarter and more informed you would become. While many aspects of PCs, mobile devices, and the cloud eventually resembled this early vision, the seamlessness in how we could work with our information never quite played out. 

Until today.

[New Scientist @newscientist]

Chemicals like menthol and capsaicin are being used to simulate feelings of touch and temperature. This technology, dubbed chemical haptics, could make virtual reality more immersive. https://t.co/FHQXBfjuqm

[Gaurav @agarwal__gaurav]

Yahoo was once the MOST used web browser

The result?

In 1998 it had 95 million page views per day

But why NO one is using Yahoo now?

Here are 7 reasons for Yahoo’s downfall 👇👇

[Aaron Levie @levie]

The software that gets the widest adoption does the best job at abstracting away complexity from the user. In a world of ever-advancing technology, deciding what to leverage and how to abstract becomes one of the most important jobs as a builder.

[Sam Altman @sama]

Move faster. Slowness anywhere justifies slowness everywhere.

2021 instead of 2022. This week instead of next week. Today instead of tomorrow.

Moving fast compounds so much more than people realize.

[Additive Flow @AdditiveFlow]

Insightful coverage of our formal launch from @krst over @fabbaloo https://t.co/6FetbFVRlR

Also, a big welcome back to their editor @SarahGoehrke

#additivemanufacturing #digitalworkflow #MultifuntionalOptimisation

[3D Printing News @3DPrintGirl]

Additive Flow Adds Additive Awareness to Generative Design with FormFlow Software
#3dprinting
https://t.co/GsdWLojKHH
@AdditiveFlow

[Alexander Pluke @plukeaj]

Pigs recorded using tools for the first time https://t.co/eXR7qVqjOk

[Alexander Pluke @plukeaj]

Profound

[H. @omw2innisfree]

My friend’s dog, Max, finally caught its tail, and then didn’t know what to do with itself anymore.

[Alexander Pluke @plukeaj]

Significant: Amazon Used An AI to Automatically Fire Low-Productivity Workers - Futurism https://t.co/8QTOpPuRyw

[Alexander Pluke @plukeaj]

A new tool from Google and OpenAI lets us better see through the eyes of artificial intelligence - The Verge https://t.co/muMW84N9Rn

[Alexander Pluke @plukeaj]

“One researcher spoke of an octopus that expressed its displeasure with the quality of lab food by waiting until she was looking before stuffing the unwanted scrap of squid down the drain” https://t.co/Kg9uQp8kt1

[Alexander Pluke @plukeaj]

https://t.co/kxWh6cn1NX

[Channel 4 News @Channel4News]

"Everything we teach should be different from machines"

Asia's richest man Jack Ma says humans can never be smarter than machines, so must be wiser instead.

[Alexander Pluke @plukeaj]

Eg. Prevention: systems recognising the adversarial process and blocking/flagging instances where multiple iterations of the same image is being modified

[Alexander Pluke @plukeaj]

Adversarial AI - vision algorithms purposely tricked. Does this leave room for built in countermeasures? https://t.co/HoL1q5wN21

[Tom Hulme @thulme]

People have spent over $1M buying virtual cats on the Ethereum blockchain
https://t.co/uFW4IA70dP

[Sam Altman @sama]

wow! https://t.co/4gNK4S7wlO