notes  in  startup

Monday, August 10, 01:05PM  by:shuri
Viewable by:

source Amazon rebrands Twitch Prime as Prime Gaming
Amazon is rebranding Twitch Prime, which gives Amazon Prime subscribers perks on Twitch, by dropping the Twitch branding and emphasizing the Prime part of the name. The service will now be known as Prime Gaming.
Monday, August 10, 01:04PM  by:shuri
ming-chi kuo,
iphone 12,
Viewable by:

source Kuo: iPhone Shipments Could Decline Up to 30% If Apple Forced to Remove WeChat From Worldwide App Store
In a worst-case scenario, Apple's annual iPhone shipments could decline by 25–30% if it is forced to remove WeChat from its App Stores around the...
Friday, July 31, 01:54PM  by:shuri
Viewable by:

source Are we in an AI overhang? - LessWrong 2.0
Over on Developmental Stages of GPTs, orthonormal mentions it at least reduces the chance of a hardware overhang.An overhang is when you have had the ability to build transformative AI for quite some time, but you haven't because no-one's realised it's possible. Then someone does and surprise! It's a lot more capable than everyone expected. I am worried we're in an overhang right now. I think we right now have the ability to build an orders-of-magnitude more powerful system than we already have, and I think GPT-3 is the trigger for 100x-larger projects at Google and Facebook and the like, with timelines measured in months. INVESTMENT BOUNDS GPT-3 is the first AI system that has obvious, immediate, transformative economic value. While much hay has been made about how much more expensive it is than a typical AI research project, in the wider context of megacorp investment it is insignificant. GPT-3 has been estimated to cost $5m in compute to train, and - looking at the author list and OpenAI's overall size - maybe another $10m in labour, on the outside. Google, Amazon and Microsoft all each spend ~$20bn/year on R&D and another ~$20bn each on capital expenditure. Very roughly it totals to ~$100bn/year. So dropping $1bn or more on scaling GPT up by another factor of 100x is entirely plausible right now. All that's necessary is that tech executives stop thinking of NLP as cutesy blue-sky research and start thinking in terms of quarters-till-profitability. A concrete example is Waymo, which is doing $2bn investment rounds - and that's for a technology with a much longer road to market. COMPUTE COST The other side of things is compute cost. The $5m GPT-3 training cost estimate comes from using V100s at $10k/unit and 30 TFLOPS, which is the performance without tensor cores being considered. Amortized over a year, this gives you about $1000/pflops-d. But there, the price is driven up an order of magnitude by NVIDIA's monopolistic cloud contracts, and the perform
Thursday, July 30, 06:19PM  by:shuri
geek squad,
in home advisors,
retail apocalypse,
emotional intelligence,
best buy ceo,
hubert joly,
best buy,
Viewable by:
Thursday, July 16, 08:45PM  by:shuri
Viewable by:

source 12 Favorite Problems: A Practical Framework for Discovering Your Purpose
If you are having difficulty discovering your purpose in life, start by asking better questions and defining your favorite problems.
Thursday, July 16, 08:24PM  by:shuri
mobile shopping,
area 120,
Viewable by:

source Google’s latest R&D project is Shoploop, a mobile video shopping platform – TechCrunch
Google’s latest experiment is a video shopping platform designed to introduce consumers to new products in under 90 seconds. The company today is launching Shoploop, a project from Google’s internal R&D division, Area 120, where it tests out new ideas with a public user base. Shoploop’s founder, Lax Poojary, had previously worked on online trip […]
Thursday, July 16, 08:17PM  by:shuri
Viewable by:

source The rise of superpower tech. Back in Jan 2019, my Weekend Fund… | by Vedika Jain | Jul, 2020 | Medium
Back in Jan 2019, my Weekend Fund teammate Ryan Hoover wrote an article on The Rise of “No Code”. Dreamweaver and similar tools dramatically reduced the barrier to creation for 15-year-old Ryan. It…
Thursday, July 16, 12:39AM  by:shuri
Viewable by:

source How Superhuman Built an Engine to Find Product/Market Fit
Founder Rahul Vohra walks us through the framework Superhuman used to find product market fit.
Wednesday, July 08, 04:50PM  by:shuri
Viewable by:

source 365 days of growth — from 0 to $250k ARR without funding | by Guillaume Moubeche | Medium
365 days after launching lemlist, we finally reached the quarter of a million ARR (annual recurring revenue) milestone. As a fully bootstrapped startup (with $0 in funding), reaching profitability as…
Wednesday, July 08, 04:42PM  by:shuri
Viewable by:

source From 0 to $1m ARR in less than 2 years and without any fundings | by Guillaume Moubeche | Medium
In the last few months, I’ve been a bit quiet when it comes to sharing our journey so I thought that nailing the $1,000,000 ARR milestone was a pretty cool opportunity to write an article 🎉 If…
Wednesday, July 08, 04:41PM  by:shuri
mobile applications,
financial brokers,
baiju bhatt,
vladimir tenev,
high frequency trading flash orders,
mobile apps,
banking and finance,
Viewable by: