thruflo22

So many variables. But say £100 per hectare as a ballpark / rough order of magnitude.

Note that the laser weeding in the article is researchware — not a commercial product.

Depends what you mean by soon. And how multi tasking it is.

But price erosion in the parts is dramatic and the software baseline is rising.

Farmers may not fix them but they will operate the robots on farm. Already, tractor drivers are skilled operators of GPS controlled semi-autonomous machines. They’ll be the people who drop the robots off, review their task plans, stay in range of their heartbeat, swap implements and refill stuff.

Maybe have a look at Rootwave — electric weed killing that’s used for invasive grass.

Right now the dwell time of the laser is slow like in the order of a second per weed. And there can be hundreds of weeds per square metre. So this needs to improve — and there’s lots of good ways to improve it. However, as the parent says, just leave a few bots out there and you easily compete with human operator cost.

Yup. There are peaks for energy transfer into water around 1 and 2 microns. So mid-IR.

A skirt around the laser.

There’s a few techniques. You can cut the meristem or you can heat the weed. If you can explode the physiology, they don’t grow back.

I’m co-founder of the “space bots with lasers” company.

Happy to answer any questions.

https://originalshrewsbury.co.uk -- it's the birthplace of Darwin, home to a newly formed independent university, it's day-trippable to all major UK cities and it's insanely cheap and nice.

We wrote a review of anonymisation methods here: https://hazy.com/files/Hazy_Anonymisation_Review_110718.pdf

Hazy | London | Frontend Developer | Full time | Onsite or Remote in Europe

We’re a data anonymisation company developing tools that help people treat data responsibly.

Our seed round is in the news today. A couple of months ago we won the $1m Microsoft Innovate.AI prize for the best AI startup in Europe.

We’re using AI to classify and anonymise data and integrating this technology into a low touch sass platform that makes it easy to use.

We’re looking for a great front end developer to join the team building our saas platform.

Details here: https://hazy.workable.com/j/0DAA024645

This is a very good idea and is something that venture builders and value add accelerators do.

For example (here in the UK) Founders Factory and Forward Partners both maintain large stables of designers, developers and other specialist executors that they assign to their portfolio companies.

The yard in the middle of the Atlas Building on the Harwell Campus?

We've been adapting some of the work that the RAL Space team did on the ExoMars Rover for use in farming. We're in London (based in Makerversity atm) if you fancy a chat :)

Anon AI | Data scientists, Developers, Privacy experts, Customer success | Mainly on site in London, some dev roles Remote

We’re using AI to automate data anonymisation. We’re hiring across a range of technical and commercial roles.

If you want to help develop a tool that’s going to help people treat data responsibly whilst still getting their jobs done, drop me an email: thruflo@anon.ai

This looks like a really well positioned and differentiated entrance into the payment provider market.

Eliminating fraudulent chargebacks addresses a serious pain point for a large market segment. It’s an angle that allows it to answer the “why not just use Stripe” from day one — which is a really hard question to answer with a just launched service.

Congratulations.

This is true and these are the things to be asking when planning to develop a SPA.

How do I manage state? How do I handle offline and intermittent?

Btw, http://hood.ie is one good option.

Reminds me of the four chords song https://m.youtube.com/watch?v=5pidokakU4I

Remote != home. If you lack social interaction or networking, join a co-working space.

I love it when a plan comes together.

https://news.ycombinator.com/item?id=14949971

Probably because they a. haven't thought of it but if they have b. because SAAS makes money from people leaving subscriptions they're not really using running.

It's a nice idea and might be clever to present to a user as an alternative during a cancel/delete flow.

Anon AI | Data Scientist (machine learning, data classification) | London, UK | REMOTE, https://anon.ai

We're using AI to automate data anonymisation. We're looking for a data scientist to improve our automatic classification system.

We're a UCL AI spin out. You'll be collaborating with specialist AI and privacy researchers and an experienced generalist development team.

We basically ingest arbitrary data (usually structured -- think sql dump files), normalise it, classify it and then anonymise it. One of our core challenges is to develop our classifier into an expert system that learns whilst preserving privacy in the training data.

We envisage that you've got a relevant degree and some professional experience working with data pipelines and machine learning based data classification. An interest in privacy and anonymisation would be great.

We're based in London. We just raised a seed round from four leading early stage VC funds. You'll be employee #3.

This is a remote role (we're a remote-first development team), although you will need to spend some face time in London every so often.

If this sounds interesting, drop me an email on thruflo@anon.ai explaining why along with your CV and / or profile links.

Thanks!

https://podio.com/ is another useful tool for prototyping workflows with structured content objects.

When I last used it, it had major limitations -- poorly designed API, third party backup solutions, good luck maintaining anything complex. However as a tool to prototype an arbitrary business process it's pretty good.

This is a brilliant book, clear, succinct and insightful. Part of the canon on our understanding of what life is / what it means to be animate instead of inanimate.

Other books on the intangible quality of being alive:

- At Home in the Universe by Stuart Kauffman

- The Timeless Way of Building by Christopher Alexander

- Gödel, Escher, Bach by Douglas Hofstadter

Anon AI | Developer (Backend / Data / Deployment) | London, UK | REMOTE, https://anon.ai

We're using AI to automate data anonymisation. We're looking for an experienced, generalist web developer to focus on cloud deployment and data ingestion.

We're using tools like Kubernetes, Elixir, SpaCy and Hashicorp Vault. We currently ingest full data snapshots and deploy to Google Container Engine.

We need to:

* deploy our service within private cloud networks on AWS, GCP and Azure

* integrate with a range of data backup and replication workflows

You should be a generalist backend web developer with experience running and maintaining production systems on cloud platforms. This should include experience with:

* backend web development

* build systems, orchestration and deployment infrastructure

* databases, data interchange formats and data parsing

* service architectures and abstraction around external APIs

* data integrity across distributed systems

We're a UCL AI spin out. We just raised a seed round from four leading early stage VC funds. You'll be employee #2.

If this sounds interesting, drop me an email me on thruflo@anon.ai

From a business POV I'd wonder whether the RainforestQA model of much higher pricing ($10,000 per month) with a focus on highly parallel resource deployment (review a lot of code quickly) might be a better strategy.

Proof of useful work?

I.e. the problem is that hashing is wasteful. But we have demand for distributed computing.

Could the work that's being evidenced actually be performing useful computations? Perhaps by structuring a distributed computation platform that accepted standard units of compute work. Like perhaps an Erlang reduction.

Middle Wallop. Upper Wallop and Lower Wallop -- hopefully not too firmly.

That's really interesting. Makes me think about what the feedback mechanism could be.

A high rate / corp tax rate that's proportional to an objective inequality measure?

Trouble is taxation is avoided but it is the only thing that really stings.

Any good recommendations for running Postgres transparently as a fully encrypted database (not just on a table by table basis)?

Or alternatively is this a problem that's better / just as viably solved with an encrypted filesystem?

One interesting mechanism is to exit out to employee ownership.

E.g. ref: https://www.nceo.org

As a founder, you can exit gradually, selling your shares to the company, so that a. your exit is financed by the company's profit and b. the shares you sell back go into employee ownership.

So you get an exit without selling your employees out. Quite the opposite in fact.