Jan 24, 2018
Convolutions are important in a variety of fields. For example, in deep learning, convolutional layers represent a critical building block for most signal processing: image, sound or both. My company Lokad is also extensively using convolutions as part of its own algebra of distribution.
One technical problem associated to convolutions is that they are slow. The theory tells you that FFT can be used to obtain good asymptotic performance, but FFT isn’t typically an option when your signal has only a few dozen data points; but that you still need to process tens of millions of such signals.
Dec 26, 2017
Update: Dr Craig Wright is pointing out that payment channels are a viable alternative to fractional satoshis. I am not an expert in payment channels, but it would certainly largely help in mitigating the problem discussed below. Then, choosing between on-chain scaling and payment channels boils down in establishing the actual limits of on-chain scaling.
Bitcoin Cash aims at becoming the world currency. As discussed previously, terabyte blocks are needed to achieve this goal.
Dec 17, 2017
Terabyte blocks are feasible both technically and economically, they will allow over 50 transactions per human on earth per day for a cost of less than 1/10th of a cent of USD. This analysis assumes no further decrease in hardware costs, and no further software breakthrough, only assembling existing, proven technologies.
Introduction As pointed out in the original Bitcoin whitepaper, achieving very large blocks do require taking advantage of Moore’s Law rather than being stuck with fixed-capacity device.
Nov 11, 2017
TLDR: my company, Lokad, is redirecting its attention to Bitcoin Cash, as the true Bitcoin
Like Jeff Bezos, I also believe that being successful in business depends on being right rather than being smart. Smarter means that you will solve given problems faster and better. Righter means that you will identify better problems. As I had been writing in the past, smarter problems trump smarter solutions. Any single time.
What’s Bitcoin about?
Jun 6, 2017
An extensive discussion is taking place on the CNTK project. As I am partly responsible for this discussion, I am gather some more concrete proposals for CNTK.
Correctness by design and BrainScript My company, Lokad, has built as complex data-driven analytical solution built on .NET. Because machine learning data pipelines are hellish to debug, we seek technologies to ensure as much design correctness as possible. For example, in many programming language, a certain degree of design correctness can be obtained through strong typing.
Jun 5, 2017
CNTK is an incredible deep learning toolkit from Microsoft. Despite being little known, under the hood, the technology rivals the capabilities of TensorFlow. While originating from Microsoft, it’s unfortunate that CNTK decided steer away from the Microsoft ecosystem, actually making CNTK a less viable option than TensorFlow as far .NET is concerned.
as a contender for the Python ecosystem, CNTK is a lost cause. TensorFlow has already won by a large margin; just like x86-64 won over IA-64.
Aug 29, 2016
One of the core benefit of cloud computing should be ease of deployment. At Lokad, we have been using Azure in production since 2010. We love the platform, and we depend on it absolutely. Yet, it remains very frustrating that .NET deployments have not nearly made enough progress as it could have been expected 6 years ago.
The situation of .NET deployements is reminiscent of the data access re-inventions which were driving Joel Spolsky nuts 14 years ago.
Mar 8, 2016
The art of crafting of programming languages is probably one of the most mature fields of software, and yet it’s surprising to realize how much potential there is in rethinking programming from a cloud-first  perspective. At my company Lokad, we ended-up writing our own programming language - a narrow domain specific language geared toward commerce analytics – and, we keep stumbling on elements that would have been hard to achieve from a more traditional perspective.
May 8, 2015
Data paging, that is, the retrieval of a large amount of data through a series of smaller data retrievals, is a non-trivial problem. Through Lokad, we have implemented about a dozen of extensive API integrations, and reviewed a few dozens of other APIs as well.
The conclusion is that as soon as paging is involved, nearly all web APIs get it wrong. Obviously, rock-solid APIs like the ones offered by Azure or AWS are getting it right, but those outstanding APIs are exceptions rather than the norm.
Mar 4, 2015
Being a (small) software entrepreneur, it is still amazing to witness how hell is breaking loose when certain large software vendors start deploying their “solution”. Even more fascinating, is that after causing massive damage, the vendor just signs another massive deal with another large company and hell breaks loose again. Repeat this one hundred times, and you witness a world-wide verticalized software leader crippling an entire industry with half-backed technology.