ENTRIES TAGGED "business"
New Math, Business Math, Summarising Text, Clipping Images
- Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It (Jennifer Ouellette) — Yale University mathematician Ronald Coifman says that what is really needed is the big data equivalent of a Newtonian revolution, on par with the 17th century invention of calculus, which he believes is already underway.
- Is Google Jumping the Shark? (Seth Godin) — Public companies almost inevitably seek to grow profits faster than expected, which means beyond the organic growth that comes from doing what made them great in the first place. In order to gain that profit, it’s typical to hire people and reward them for measuring and increasing profits, even at the expense of what the company originally set out to do. Eloquent redux.
- textteaser — open source text summarisation algorithm.
- Clipping Magic — Instantly create masks, cutouts, and clipping paths online.
BF Maker, Wikiseat, Decentralising Software, and Streaming Economics
- BF Skinner’s Baby Make Project (BoingBoing) — I got to read some of Skinner’s original writing on the Air-Crib recently and couple of things stuck out to me. First, it cracked me up. The article, published in 1959 in Cumulative Record, is written in the kind of extra-enthusiastic voice you’re used to hearing Makers use to describe particularly exciting DIY projects.
- Wikiseat — awesome Maker education project. (via Claire Amos)
- Redecentralize — project highlighting developers and software that disintermediates the ad-serving parasites preying on our human communication.
- The Internet Will Suck All Creative Content Out of the World (David Byrne) — persuasively argued that labels are making all the money from streaming services like Spotify, et al. Musicians are increasingly suspicious of the money and equity changing hands between these services and record labels – both money and equity has been exchanged based on content and assets that artists produced but seem to have no say over. Spotify gave $500m in advances to major labels in the US for the right to license their catalogues.
Neuromancer Game, Ray Ozzie, Sentiment Analysis, and Open Science Prizes
- Case and Molly, a Game Inspired by Neuromancer (Greg Borenstein) — On reading Neuromancer today, this dynamic feels all too familiar. We constantly navigate the tension between the physical and the digital in a state of continuous partial attention. We try to walk down the street while sending text messages or looking up GPS directions. We mix focused work with a stream of instant message and social media conversations. We dive into the sudden and remote intimacy of seeing a family member’s face appear on FaceTime or Google Hangout. “Case and Molly” uses the mechanics and aesthetics of Neuromancer’s account of cyberspace/meatspace coordination to explore this dynamic.
- Rethinking Ray Ozzie — an inescapable conclusion: Ray Ozzie was right. And Microsoft’s senior leadership did not listen, certainly not at the time, and perhaps not until it was too late. Hear, hear!
- Recursive Deep Models for Semantic Compositionality
Over a Sentiment Treebank (PDF) — apparently it nails sentiment analysis, and will be “open sourced”. At least, according to this GigaOm piece, which also explains how it works.
- PLoS ASAP Award Finalists Announced — with pointers to interviews with the finalists, doing open access good work like disambiguating species names and doing open source drug discovery.
Google's Data Centers, Top Engineers, Hiring, and Git Explained
- Google Has Spent 21 Billion on Data Centers — The company invested a record $1.6 billion in its data centers in the second quarter of 2013. Puts my impulse-purchased second external hard-drive into context, doesn’t it honey?
- 10x Engineer (Shanley) — in which the idea that it’s scientifically shown that some engineers are innately 10x others is given a rough and vigorous debunking.
- How to Hire — great advice, including “Poaching is the titty twister of Silicon Valley relationships”.
- Think Like a Git — a guide to git, for the perplexed.
Art and Money, Probabilistic Programming, Feature Flow, and Good Drones
- How Jim Henson Turned His Art Into a Business (Longreads) — When Henson joined on to the experimental PBS show Sesame Street in 1968, he was underpaid for his services creating Big Bird and Oscar. Yet he spent his free nights in his basement, shooting stop-motion films that taught kids to count. If you watch these counting films, the spirit of Henson’s gift shines through. I think any struggling artist today could count Henson among their ilk. He had all the makings of a tragic starving artist. The only difference between him and us is that he made peace with money.
- Probabilistic Programming and the Democratization of AI (YouTube) — talk by Brian Ruttenberg, examples in Figaro, a Scala library which is apparently open source despite hiding behind a “give us your contact details” form.
- Linux Panel — love the crossflow of features: “Embedded today is what enterprise was five years ago,” Kroah-Hartman said. “You have a quad-core in your pocket. The fun thing about Linux is all the changes you make have to work on all the things.” The advances in power management driven by mobile devices initially weren’t that interesting to enterprise developers, according to Kroah-Hartman. That quickly changed once they realized it was helping them save millions of dollars in data center power costs.
- A Drone’s View of the Colorado Floods (DIY Drones) — some amazing footage.
No Managers, Bezos Pearls, Visualising History, and Scalable Key-Value Store
- No Managers — If we could find a way to replace the function of the managers and focus everyone on actually producing for our Students (customers) then it would actually be possible to be a #NoManager company. In my future posts I’ll explain how we’re doing this at Treehouse.
- The 20 Smartest Things Jeff Bezos Has Ever Said (Motley Fool) — I feel like the 219th smartest thing Jeff Bezos has ever said is still smarter than the smartest thing most business commentators will ever say. (He says, self-referentially) “Invention requires a long-term willingness to be misunderstood.”
- Putting Time in Perspective — nifty representations of relative timescales and history. (via BoingBoing)
- Sophia — BSD-licensed small C library implementing an embeddable key-value database “for a high-load environment”.
Google Play Services, Self-Signed Kernels, Visualising Scientific Papers, and New Microcontroller
- How Google’s Defragging Android (Ars Technica) — Android’s becoming a pudgy microkernel for the Google Play Services layer that’s in userland, closed source, and a way to bypass carriers’ lag for upgrades.
- Booting a Self-Signed Linux Kernel (Greg Kroah-Hartman) — procedures for how to boot a self-signed Linux kernel on a platform so that you do not have to rely on any external signing authority.
- Paperscape — A map of scientific papers from the arXiv.
- Trinket — Adafruit’s latest microcontroller board. Small but perfectly formed.
Big Diner, Fab Future, Browser Crypto, and STEM Crisis Questioned
- In Search of the Optimal Cheeseburger (Hilary Mason) — playing with NYC menu data. There are 5,247 cheeseburgers you can order in Manhattan. Her Ignite talk from Ignite NYC15.
- James Burke Predicting the Future — spoiler: massive disruption from nano-scale personal fabbing.
- The STEM Crisis is a Myth (IEEE Spectrum) — Every year U.S. schools grant more STEM degrees than there are available jobs. When you factor in H-1B visa holders, existing STEM degree holders, and the like, it’s hard to make a case that there’s a STEM labor shortage.
Bezos on Business, CS Ratios, Easier Hadoopery, and AWS CLI
- Bezos at the Post (Washington Post) — “All businesses need to be young forever. If your customer base ages with you, you’re Woolworth’s,” added Bezos.[...] “The number one rule has to be: Don’t be boring.” (via Julie Starr)
- How Carnegie-Mellon Increased Women in Computer Science to 42% — outreach, admissions based on potential not existing advantage, making CS classes practical from the start, and peer support.
- Summingbird (Github) — Twitter open-sourced library that lets you write streaming MapReduce programs that look like native Scala or Java collection transformations and execute them on a number of well-known distributed MapReduce platforms like Storm and Scalding.
- aws-cli (Github) — commandline for Amazon Web Services. (via AWS Blog)
Semi-Structured Text, Bitcoin Built On, Cryptic C++, Kickstarter Wins
- textfsm — Python module which implements a template based state machine for parsing semi-formatted text. Originally developed to allow programmatic access to information returned from the command line interface (CLI) of networking devices. TextFSM was developed internally at Google and released under the Apache 2.0 licence for the benefit of the wider community.
- The Money is in the Bitcoin Protocol (Vikram Kumar) — some of the basics in this post as well as how people are thinking about using the Bitcoin protocol to do some very innovative things. MUST. READ.
- Parsing C++ is Literally Undecidable — any system with enough moving parts will generate eddies of chaotic behaviour, where the interactions between the components are unpredictable. (via Pete Warden)
- Kickstarter Raises 6x Indiegogo Money (Medium) — a reminder of the importance of network effects. Crowdfunding is the online auction side of the 2010s.