Items tagged with: four
HN Discussion: https://news.ycombinator.com/item?id=20158266
Posted by tectonic (karma: 3736)
Post stats: Points: 161 - Comments: 41 - 2019-06-11T18:40:01Z
#HackerNews #are #four #launching #mars #missions #next #year
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HN Discussion: https://news.ycombinator.com/item?id=19991733
Posted by chriskanan (karma: 3354)
Post stats: Points: 144 - Comments: 29 - 2019-05-23T13:47:57Z
#HackerNews #captures #filmed #flash #four #frames #light #per #second #trillion #video
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HN Discussion: https://news.ycombinator.com/item?id=19684386
Posted by sjcsjc (karma: 6823)
Post stats: Points: 114 - Comments: 97 - 2019-04-17T17:07:59Z
#HackerNews #after #brains #death #four #hours #partially #pig #revived
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HN Discussion: https://news.ycombinator.com/item?id=19531457
Posted by howard941 (karma: 6194)
Post stats: Points: 93 - Comments: 132 - 2019-03-30T20:01:33Z
#HackerNews #areas #four #internet #lets #mark #needs #new #rules #start #the #these #zuckerberg
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#america #backed #baghouz #baghouz syria #caliphate #close #defeat #defeat isis #defeating #four year campaign #iraq #isis #islamic #islamic state #islamic state militants #last #oan newsroom #rebel #rebel territory #report #sdf #stronghold #syria #syrian #syrian democratic force #syrian democratic forces #territory #the united states of america #troops #u.s. #u.s. backed troops #united states #united states of america
#after #antivirus #apple #biz & it #debut #four #mac #macos #macs #malware #months #providers #sneaky #undetected #went
Enlarge / A screenshot of VirusTotal showing only two AV providers detected malware, four weeks after it was outed. (credit: Patrick Wardle)
Four months after a mysterious group was outed for a digital espionage operation that used novel techniques to target Mac users, its macOS malware samples continued to go undetected by most antivirus providers, a security researcher reported on Thursday.
Windshift is what researchers refer to as an APT—short for "advanced persistent threat"—that surveils individuals in the Middle East. The group operated in the shadows for two years until August, when Taha Karim, a researcher at security firm DarkMatter, profiled it at the Hack in the Box conference in Singapore. Slides, a brief description, and a report from Forbes are here, here and here, respectively.
A few things make Windshift stand out among APTs, Karim reported in August. One is how rarely the group infects its targets with malware. Instead, it relies on links inside phishing emails and SMS text messages to track the locations, online habits, and other traits of the targets. Another unusual characteristic: in the extremely rare cases Windshift uses Mac malware to steal documents or take screenshots of targets' desktops, it relies on a novel technique to bypass macOS security defenses. (The above-linked Forbes article has more on how this technique, known as a custom URL scheme, allows attacker-controlled sites to automatically install their malware on targeted Macs.)
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#advisors #bridge #business #column #death #economy #entrepreneurship #four #softbank #start-up chile #startup company #startups #tnt #valley #ways #widening
Shahin Farshchi ContributorShahin Farshchi is a partner at Lux Capital. More posts by this contributor
* Building a great startup requires more than genius and a great invention
* Investing in frontier technology is (and isn’t) cleantech all over again
Many founders believe in the myth that the first steps of starting a business are the hardest: Attracting the first investment, the first hires, proving the technology, launching the first product and landing the first customer. Although those critical first steps are difficult, they are certainly not the most difficult on the arduous path of building an iconic company. As early and late-stage funding becomes more abundant, founders and their early VC backers need to get smarter about how to position their companies for a looming valley of death in-between. As we’ll learn below, it’s only going to get much, much harder before it gets easier.
Money will have the look, and heft, of dumbbells as the economic cycle turns. Expect an abundance of small, seed checks at one end, an abundance of massive checks for clear, breakout companies at the other, and a dearth of capital for expanding companies with early proof points and market traction. Read more on how to best prepare for this inevitable future. (Image courtesy Flickr/CircaSassy)
There will be an abundance of capital at the two ends of the startup spectrum. At one end, hundreds of seed and micro VCs, each armed with dozens of $250,000-$1 million checks to write every year, are on the prowl for visionary founders with pedigrees and resumes. At the other end, behemoths like SoftBank, sovereigns, as well “early-stage” firms raising larger funds are seeking breakout companies ready for checks that are in the mid-tens to hundreds of millions. There will be a dearth of capital to grow companies from a kernel of a business, to becoming the clear market-defining leader. In fact, we’re already seeing deal volume decreasing significantly as dollars increase, likely evidence of larger checks going into fewer companies.
Even as the overall number of deals decrease below 2012 levels, the overall dollars invested into startups continue to soar. The 200+ “seed-stage” funds formed since 2012 will continue to chase nascent companies. Meanwhile, the increasing number of mega-funds will seek breakout companies into which to make $100 million+ investments. Companies with early traction seeking ~$20 million to grow will be abundant and have difficulty accessing capital.
Founders should no longer assume that their all-star seed and Series A syndicates will guarantee a successful follow-on financing. Progress on recruiting and product development, though necessary, are no longer sufficient for B-rounds and beyond. Founders should be mindful that investors that specialize in leading $20-50 million rounds will have a plethora of well-funded, well-mentored, well-staffed startups with slick presentations, big visions and some early market traction from which to choose.
Today, there is far more capital chasing fewer quality companies. Fewer breakout companies and fear of missing out is making it easy to raise growth rounds with revenue growth, which may not be scalable or even reflective of an attractive business. This is creating false realities and prompting founders to raise big rounds at high prices — which is fine when there is an over-abundance of capital, but can cripple them when capital later becomes scarce. For example, not long ago, cleantech companies, armed with very preliminary sales, raised massive financings from VCs eager to back winners toward scaling into what they characterized as infinite demand. The reality is that the capital required to meet target economics was far greater and demand far smaller. As the private markets turned, access to cash became difficult and most faltered or were acquired for pennies on the dollar.
There is a likely future where capital grows scarce, and investors take a harder look at the underpinnings of revenue, growth and (dis)economies of scale.
What should startup leadership teams emphasize in an inevitable future where the $30 million rounds will be orders of magnitude harder than their $5 million rounds?
A business model representative of the big vision
Leadership teams put lots of emphasis on revenue. Unfortunately, revenue that’s not representative of the big vision is probably worse than no revenue at all. Companies are initially seeded with the expectation that the founding team can build and sell something. What needs to be proven is the hypothesis that the company can a) build a special product that b) is inexpensive to convince customers to pay for, and c) that those customers represent a massive market. It should be proven that it is unattractive for customers to switch to the inevitable copycats. It should be clear that over time, customers will pay more for additional features, and the cost of acquiring new customers will go down. Simply selling a product to customers that don’t represent that model is worse than not selling anything at all.
Recruiting talent that’s done it
Early founding teams are cognitively diverse individuals that can convince early investors that they can overcome the incredible odds of building a company that until now, shouldn’t have existed. They build a unique product, leveraging unique tools satisfying an unmet need. The early teams need to demonstrate the big vision, and that they can recruit the people that can make that vision a reality. Unfortunately, more founders struggle when it comes to recruiting people that have real experience reducing a technology to practice, executing on a product that customers want and charting the path to expand their market with improving unit economics. There are always exceptions of people that do the above for the first time at startups; however, most of today’s iconic startups knew what kind of talent they needed to execute and succeeded in bringing them on board. Who’s on your team?
Present metrics that matter
The attractive SaaS valuation multiples behoove all founders to apply its metrics to their businesses even if they aren’t really SaaS businesses. Sophisticated later-stage investors see right past that and dismiss numbers associated with metrics that are not representative. Semiconductors are about winning dedicated sockets in growing markets. Design tools are about winning and upselling seats in an industry that’s going to be hooked on those tools. Develop a clear understanding of how your business will be measured. Don’t inundate your investor with numbers; present a concise hypothesis for your unfair advantage in a growing market with your current traction being evidence to back it.
Find efficiencies by working in massive markets
“Pouring fuel on the fire” is a misleading metaphor that leads some into believing that capital can grow any business. That’s just as true as watering a plant with a fire hose or putting TNT in your Corolla’s gas tank: most business models and markets simply are not native to the much-sought-after venture growth profile. In fact, most later-stage startups that fail after raising large amounts of capital fail for this reason. Most markets are conducive to businesses with DIS-economies of scale, implying dwindling margins with scale, which is why many businesses are small, serving local, fragmented markets that technology alone cannot consolidate. How do your unit economics improve over time? What are the efficiencies generated by economies of scale? Is there a real network effect that drives these economies?
Image courtesy Getty Images
I expect today’s resourceful founders to seek partners, whether it’s employees, advisors or investors, to help them answer these questions. Together, these cognitively diverse teams will work together to accelerate past any metaphoric valley and build the iconic companies taking humanity to its fantastic future.
The underloved social network will now close in April
Article word count: 397
HN Discussion: https://news.ycombinator.com/item?id=18649608
Posted by bhauer (karma: 7425)
Post stats: Points: 134 - Comments: 46 - 2018-12-10T17:40:37Z
\#HackerNews #after #data #down #early #four #google #leak #months #second #shut #will
Illustration by Alex Castro / The Verge
Google+ has suffered another data leak, and Google has decided to shut down the consumer version of the social network four months earlier than it originally planned. Google+ will now close to consumers in April, rather than August. Additionally, API access to the network will shut down within the next 90 days.
According to Google, the new vulnerability impacted 52.5 million users, who could have had profile information like their name, email address, occupation, and age exposed to developers, even if their account was set to private. Apps could also access profile data that had been shared with a specific user, but was not shared publicly.
"“With the discovery of this new bug, we have decided to expedite the shut-down of all Google+ APIs.”"
In October, a similar Google+ vulnerability was revealed to have exposed private user data to developers for as long as three years. The bug was first discovered in March, but not publicly disclosed until October, resulting in significant transparency concerns. In response, Google announced plans to shut down the consumer version of Google+, which had long struggled to attract users. This time around, Google says it discovered the leak on its own and it was live for just six days — between November 7th and November 13th.
“With the discovery of this new bug, we have decided to expedite the shut-down of all Google+ APIs; this will occur within the next 90 days,” reads the blog post, penned by David Thacker, Google’s vice president of project management. “In addition, we have also decided to accelerate the sunsetting of consumer Google+ from August 2019 to April 2019. While we recognize there are implications for developers, we want to ensure the protection of our users.”
Google discovered the bug as part of its standard testing procedure and says there is “no evidence that the app developers that inadvertently had this access for six days were aware of it or misused.” Google says it’s begun notifying users and enterprise customers who were impacted by the bug.
“We understand that our ability to build reliable products that protect your data drives user trust,” Thacker wrote. “We have always taken this seriously, and we continue to invest in our privacy programs.” Google still plans to continue operating Google+ as an enterprise product for companies that subscribe to its G Suite service.
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Two lovely ways of relating a sphere's surface area to a circle. Fourier socks, pi plushies, and more: http://3b1b.co/store Happy holidays! Discuss on reddit...
Article word count: 136
HN Discussion: https://news.ycombinator.com/item?id=18584458
Posted by espeed (karma: 15389)
Post stats: Points: 87 - Comments: 39 - 2018-12-02T20:42:40Z
\#HackerNews #area #but #four #its #shadow #spheres #surface #times #video #why
Two lovely ways of relating a sphereʼs surface area to a circle.
Fourier socks, pi plushies, and more: http://3b1b.co/store
Discuss on reddit: https://www.reddit.com/r/3Blue1Brown/...
Special thanks to the following supporters:
The first proof goes back to Greek times, due to Archimedes, who was charmed by the fact that a sphere has 2/3 the volume of a cylinder encompassing it, and 2/3 the surface area as well (if you consider the caps). Check out this video for another beautiful animation of that first proof:
Thanks to these folks for letting me use their images at the end:
Music by Vincent Rubinetti:
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe: http://3b1b.co/subscribe
Various social media stuffs:
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In just two years Ricardo Diaz executed an almost impossibly rapid career transformation. Today, he has a new career as a Machine Learning Engineer in Peru.
Article word count: 1508
HN Discussion: https://news.ycombinator.com/item?id=18528105
Posted by gabor-meszaros (karma: 105)
Post stats: Points: 115 - Comments: 58 - 2018-11-25T18:35:42Z
\#HackerNews #and #career #four #nanodegree #new #programs #two #years
Ricardo Diaz - New Career - Student Success - Udacity
Ricardo Diaz is a machine learning engineer. He works for a great company in Peru, and he’s a graduate of no less than four Nanodegree programs! By all measures, he’s a success. But just two years ago, it was a different story. He was still in Venezuela, struggling to learn new skills. He was short of money, and his prospects for making a full-time salary weren’t great.
How did he manage such a rapid and complete career transformation? We chatted with Ricardo recently to find out.
Great to talk to you Ricardo! Can you set the stage for us? Where does this amazing transformation begin?
Well, computers were always something I was interested in growing up. So when the time came, I enrolled in a Bachelor’s in Computer Engineering program. This was at a university back home in Venezuela. But there weren’t really ever any classes. Back then, things were bad economically, and at my university, it meant that classes would just stop because teachers were protesting. It was a mess. And even when classes happened, it never felt like I was learning anything meaningful that would help my career.
So you took it upon yourself to try and learn some new programming skills?
That’s right. I started looking online and tried a few different free programs to learn some programming languages—some HTML, some CSS, some Python. I really liked it, but I wanted to go beyond just learning coding and start learning how to build projects that would help my career. That’s when I began looking at whether I could find more serious resources online.
Is that when you found Udacity?
Yes. From the homepage onwards, it was amazing. I saw all the programs, and the experience on offer was exactly what I wanted—a program that could give me career-ready resources and experience. I thought I already knew how to code, but I didn’t know how to build anything, so I wanted real projects to practice my developing skills.
What program did you enroll in first to start building the projects you wanted to create?
I started with the Full Stack Web Developer Nanodegree program. I was so excited about working on it that I finished it in just one month. I literally spent all day, every day working on the content. It was my first time actually coding anything like the projects, and I was just so excited.
From day one, I was building something, coding something, doing quizzes. From the first lesson, it felt like I was doing what I had wanted to do for so long.
“It was so exciting to be building things with code that I could see would be useful through my whole career.”
So there you were, just a month later, a graduate of your first Nanodegree program. What happened next?
I started signing up to some online freelance sites, and tried to get freelancing work with what I had learned in my program. I put up some examples of the projects I’d made, and I got a couple of jobs because of that. I managed to save some money.
Money that you put towards more learning?
Yes! I think in maybe November of the same year, I saw Udacity had a new upcoming program—Deep Learning Foundations. I didn’t really know much about the field back then, but I loved just the basic idea of machine learning and deep learning. I did a little reading, then I saved some more money, and then I enrolled in the program in January of last year.
Were you able to apply the same degree of intensity to your studies?
I was. I was doing it all day, every moment I had. I was working through the content so quickly, that I sometimes got ahead of the content developers! As soon as new content was published, I’d start immediately and finish it as soon as possible. In fact, I completed the whole thing so fast, I was told I was the first person to graduate the program!
You were focused on freelance work at the time—did you new skills lead to more opportunities?
Yes, through all of my programs, I was doing freelance work. Every time I learned something new, I’d add it to my freelance portfolio on Upwork. And pretty much all of it was useful for getting more work—most of the time, I found freelance work that was exactly the same as the projects I was building in my Nanodegree programs. Especially after I had experience with machine learning. The skills I learned there were really in demand, and the work really helped a lot when I was struggling financially. It meant I could save up to enroll in the Robotics Software Engineer AND the AI Nanodegree programs right after I graduated the Deep Learning program!
Four Nanodegree programs! You must have become quite a familiar face in the various community spaces—what was your experience like when it came to engaging with the Udacity community?
The community is really great with Udacity—you can put your problem in a community channel, and someone will nearly always answer you really quickly. You can learn so much from the other students. I also really liked trying to teach others, because it helped me understand the concepts better. I’d review the projects of fellow students, or help them with a code question, and I would learn as much from explaining a concept to them as from the program content alone!
I understand you learned about your current role while you were studying in yet another Nanodegree program. Tell us how that happened.
About six months ago, I had enrolled in the Computer Vision Nanodegree program, and I got a call from a company that had found me on LinkedIn. I’d used Udacity’s career support a lot— particularly the LinkedIn and resume reviews, to make sure my profile presented my experience properly. And I guess that worked! They reached out from Peru, where they’re based, and invited me to interview for a machine learning role.
Can you tell us about your experience in that interview?
During the interview, I felt they took my credentials very seriously. They asked me about my projects, and the process I’d used to work through challenges while I was building them. And they were also really interested in my experience as a freelancer—what I had worked on, and the things I’d built. Having project experience was so important.
What happened after you spoke with them?
I had a couple more interviews, then they offered me the job! They sponsored me to come to Peru and start working for them—as a machine learning engineer! It’s my first full-time job, and the first time I’ve ever worked in an office. It’s great! And I’ve already been given a raise and a promotion too! I’ve only been here five months!
Ricardo Diaz 2 - New Career - Student Success - UdacitySo fantastic! But does this success mean you’re taking a break from your studies?
Not at all. I’ve still got Term 2 of the Robotics Engineer Nanodegree program to complete, and I’m enrolled in the Cybersecurity program, to build my skills in that area. I’m also a mentor and beta tester for the Cybersecurity and AI for Trading Nanodegree programs, so I’m still learning every day! And I’m actually still attending my university online, to finish my Bachelor’s. I’ve stayed enrolled the whole time.
So you actually landed your current machine learning role without having a university degree?
I did. Which was pretty incredible when I think about it now. Most of the job postings I’d seen for machine learning seemed to be looking for Master’s or PhDs. But that didn’t matter in the end, because I had the skills and the experience to impress my recruiters. And since I joined, I’ve always been treated exactly the same as my coworkers who have more degrees than me.
You’ve come so far, so quickly; have you had chance to catch your breath and think about what your longer-term career ambitions are yet?
I eventually want to go to Silicon Valley. That’s one of my dreams, and I’m trying to make that happen. My main goal in life is to try to change the world in a meaningful way with what I do. And I know that over there, in California, in Mountain View, that’s where people change the world—just like Udacity changed mine!
But I’m really thankful for where I am in my career now. Peru is great—a little colder than Venezuela, but really interesting. I have great coworkers, and I’m enjoying my work so much.
“I’m so glad I found machine learning and that first Nanodegree program. It changed my life completely.”
We’re just astounded by your story Ricardo. Students like yourself—who commit to learning new skills, who study hard, and who make things happen—are why each of us at Udacity are thankful for the work we get to do. We can’t wait to hear what you do next, and have no doubt we’ll see you changing the world in Mountain View very soon!
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