'They are the masters in this field'
NEW INTERVIEW: Former Chairman of Sony Entertainment on Nintendo's Everlasting Intellectual Property
'Mario is probably impervious to extinction'
$NTDOY
https://t.co/MI0mMmSDsf
'because gaming is so tied to technology (which) has to keep moving forward in order to bring more immersive experiences, previous generation games are not compatible with the new technology'
More from Tech
I could create an entire twitter feed of things Facebook has tried to cover up since 2015. Where do you want to start, Mark and Sheryl? https://t.co/1trgupQEH9
Ok, here. Just one of the 236 mentions of Facebook in the under read but incredibly important interim report from Parliament. ht @CommonsCMS https://t.co/gfhHCrOLeU
Let’s do another, this one to Senate Intel. Question: “Were you or CEO Mark Zuckerberg aware of the hiring of Joseph Chancellor?"
Answer "Facebook has over 30,000 employees. Senior management does not participate in day-today hiring decisions."
Or to @CommonsCMS: Question: "When did Mark Zuckerberg know about Cambridge Analytica?"
Answer: "He did not become aware of allegations CA may not have deleted data about FB users obtained through Dr. Kogan's app until March of 2018, when
these issues were raised in the media."
If you prefer visuals, watch this short clip after @IanCLucas rightly expresses concern about a Facebook exec failing to disclose info.
Ok, here. Just one of the 236 mentions of Facebook in the under read but incredibly important interim report from Parliament. ht @CommonsCMS https://t.co/gfhHCrOLeU
Let’s do another, this one to Senate Intel. Question: “Were you or CEO Mark Zuckerberg aware of the hiring of Joseph Chancellor?"
Answer "Facebook has over 30,000 employees. Senior management does not participate in day-today hiring decisions."
Or to @CommonsCMS: Question: "When did Mark Zuckerberg know about Cambridge Analytica?"
Answer: "He did not become aware of allegations CA may not have deleted data about FB users obtained through Dr. Kogan's app until March of 2018, when
these issues were raised in the media."
If you prefer visuals, watch this short clip after @IanCLucas rightly expresses concern about a Facebook exec failing to disclose info.
A company as powerful as @facebook should be subject to proper scrutiny. Mike Schroepfer, its CTO, told us that the buck stops with Mark Zuckerberg on the Cambridge Analytica scandal, which is why he should come and answer our questions @DamianCollins @IanCLucas pic.twitter.com/0H4VMhtIFu
— Digital, Culture, Media and Sport Committee (@CommonsCMS) May 23, 2018
THREAD: How is it possible to train a well-performing, advanced Computer Vision model 𝗼𝗻 𝘁𝗵𝗲 𝗖𝗣𝗨? 🤔
At the heart of this lies the most important technique in modern deep learning - transfer learning.
Let's analyze how it
2/ For starters, let's look at what a neural network (NN for short) does.
An NN is like a stack of pancakes, with computation flowing up when we make predictions.
How does it all work?
3/ We show an image to our model.
An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.
Here is what it might look like for a black and white image
4/ The picture goes into the layer at the bottom.
Each layer performs computation on the image, transforming it and passing it upwards.
5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.
The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!
At the heart of this lies the most important technique in modern deep learning - transfer learning.
Let's analyze how it
THREAD: Can you start learning cutting-edge deep learning without specialized hardware? \U0001f916
— Radek Osmulski (@radekosmulski) February 11, 2021
In this thread, we will train an advanced Computer Vision model on a challenging dataset. \U0001f415\U0001f408 Training completes in 25 minutes on my 3yrs old Ryzen 5 CPU.
Let me show you how...
2/ For starters, let's look at what a neural network (NN for short) does.
An NN is like a stack of pancakes, with computation flowing up when we make predictions.
How does it all work?
3/ We show an image to our model.
An image is a collection of pixels. Each pixel is just a bunch of numbers describing its color.
Here is what it might look like for a black and white image
4/ The picture goes into the layer at the bottom.
Each layer performs computation on the image, transforming it and passing it upwards.
5/ By the time the image reaches the uppermost layer, it has been transformed to the point that it now consists of two numbers only.
The outputs of a layer are called activations, and the outputs of the last layer have a special meaning... they are the predictions!
Next.js has taken the web dev world by storm
It’s the @reactjs framework devs rave about praising its power, flexibility, and dev experience
Don't feel like you're missing out!
Here's everything you need to know in 10 tweets
Let’s dive in 🧵
Next.js is a @reactjs framework from @vercel
It couples a great dev experience with an opinionated feature set to make it easy to spin up new performant, dynamic web apps
It's used by many high-profile teams like @hulu, @apple, @Nike, & more
https://t.co/whCdm5ytuk
@vercel @hulu @Apple @Nike The team at @vercel, formerly Zeit, originally and launched v1 of the framework on Oct 26, 2016 in the pursuit of universal JavaScript apps
Since then, the team & community has grown expotentially, including contributions from giants like @Google
https://t.co/xPPTOtHoKW
@vercel @hulu @Apple @Nike @Google In the #jamstack world, Next.js pulled a hefty 58.6% share of framework adoption in 2020
Compared to other popular @reactjs frameworks like Gatsby, which pulled in 12%
*The Next.js stats likely include some SSR, arguably not Jamstack
https://t.co/acNawfcM4z
@vercel @hulu @Apple @Nike @Google The easiest way to get started with a new Next.js app is with Create Next App
Simply run:
yarn create next-app
or
npx create-next-app
You can even start from a git-based template with the -e flag
yarn create next-app -e https://t.co/JMQ87gi1ue
https://t.co/rwKhp7zlys
It’s the @reactjs framework devs rave about praising its power, flexibility, and dev experience
Don't feel like you're missing out!
Here's everything you need to know in 10 tweets
Let’s dive in 🧵
Next.js is a @reactjs framework from @vercel
It couples a great dev experience with an opinionated feature set to make it easy to spin up new performant, dynamic web apps
It's used by many high-profile teams like @hulu, @apple, @Nike, & more
https://t.co/whCdm5ytuk
@vercel @hulu @Apple @Nike The team at @vercel, formerly Zeit, originally and launched v1 of the framework on Oct 26, 2016 in the pursuit of universal JavaScript apps
Since then, the team & community has grown expotentially, including contributions from giants like @Google
https://t.co/xPPTOtHoKW
@vercel @hulu @Apple @Nike @Google In the #jamstack world, Next.js pulled a hefty 58.6% share of framework adoption in 2020
Compared to other popular @reactjs frameworks like Gatsby, which pulled in 12%
*The Next.js stats likely include some SSR, arguably not Jamstack
https://t.co/acNawfcM4z
@vercel @hulu @Apple @Nike @Google The easiest way to get started with a new Next.js app is with Create Next App
Simply run:
yarn create next-app
or
npx create-next-app
You can even start from a git-based template with the -e flag
yarn create next-app -e https://t.co/JMQ87gi1ue
https://t.co/rwKhp7zlys
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1/ Some initial thoughts on personal moats:
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
I'm increasingly interested in the idea of "personal moats" in the context of careers.
— Erik Torenberg (@eriktorenberg) November 22, 2018
Moats should be:
- Hard to learn and hard to do (but perhaps easier for you)
- Skills that are rare and valuable
- Legible
- Compounding over time
- Unique to your own talents & interests https://t.co/bB3k1YcH5b
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
People talk about \u201cpassive income\u201d a lot but not about \u201cpassive social capital\u201d or \u201cpassive networking\u201d or \u201cpassive knowledge gaining\u201d but that\u2019s what you can architect if you have a thing and it grows over time without intensive constant effort to sustain it
— Andrew Chen (@andrewchen) November 22, 2018
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
Things that look like moats but likely aren\u2019t or may fade:
— Erik Torenberg (@eriktorenberg) November 22, 2018
- Proprietary networks
- Being something other than one of the best at any tournament style-game
- Many "awards"
- Twitter followers or general reach without "respect"
- Anything that depends on information asymmetry https://t.co/abjxesVIh9
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.
1/x Fort Detrick History
Mr. Patrick, one of the chief scientists at the Army Biological Warfare Laboratories at Fort Detrick in Frederick, Md., held five classified US patents for the process of weaponizing anthrax.
2/x
Under Mr. Patrick’s direction, scientists at Fort Detrick developed a tularemia agent that, if disseminated by airplane, could cause casualties & sickness over 1000s mi². In a 10,000 mi² range, it had 90% casualty rate & 50% fatality rate
3/x His team explored Q fever, plague, & Venezuelan equine encephalitis, testing more than 20 anthrax strains to discern most lethal variety. Fort Detrick scientists used aerosol spray systems inside fountain pens, walking sticks, light bulbs, & even in 1953 Mercury exhaust pipes
4/x After retiring in 1986, Mr. Patrick remained one of the world’s foremost specialists on biological warfare & was a consultant to the CIA, FBI, & US military. He debriefed Soviet defector Ken Alibek, the deputy chief of the Soviet biowarfare program
https://t.co/sHqSaTSqtB
5/x Back in Time
In 1949 the Army created a small team of chemists at "Camp Detrick" called Special Operations Division. Its assignment was to find military uses for toxic bacteria. The coercive use of toxins was a new field, which fascinated Allen Dulles, later head of the CIA
Mr. Patrick, one of the chief scientists at the Army Biological Warfare Laboratories at Fort Detrick in Frederick, Md., held five classified US patents for the process of weaponizing anthrax.
2/x
Under Mr. Patrick’s direction, scientists at Fort Detrick developed a tularemia agent that, if disseminated by airplane, could cause casualties & sickness over 1000s mi². In a 10,000 mi² range, it had 90% casualty rate & 50% fatality rate
3/x His team explored Q fever, plague, & Venezuelan equine encephalitis, testing more than 20 anthrax strains to discern most lethal variety. Fort Detrick scientists used aerosol spray systems inside fountain pens, walking sticks, light bulbs, & even in 1953 Mercury exhaust pipes
4/x After retiring in 1986, Mr. Patrick remained one of the world’s foremost specialists on biological warfare & was a consultant to the CIA, FBI, & US military. He debriefed Soviet defector Ken Alibek, the deputy chief of the Soviet biowarfare program
https://t.co/sHqSaTSqtB
5/x Back in Time
In 1949 the Army created a small team of chemists at "Camp Detrick" called Special Operations Division. Its assignment was to find military uses for toxic bacteria. The coercive use of toxins was a new field, which fascinated Allen Dulles, later head of the CIA
