KHAI KWAN LAWYERS

Here is the link https://www.linkedin.com/services/page/681343314281303345/

Here is a long video 15 mins about a company that provides data training services for LLM. They provided a page where they differentiate their product with the base model and another trained by Watson. I am currently working on fine-tuning a model so that it can give advice on Affidavits. Still WIP but will be upload to huggingface soon. Anyone interested in co-peration can contact me but seriously I need workers not talkers. Also if you have the chance try out Unsloth, appears to be “easiest” & fast way to fine-tune.

Hello been a busy week experimenting with the various platforms. IF you are up to it check out my amendments to AS 4902 – Building Contract on behalf of the owner.

Working on a solar assistant that can calculate one’s costs benefit of owning a solar and answers a host of question. Please test it out https://khkwan.com/solar/
A copy of the code that is driving this in part can be found here (you need to sign-up though), https://replit.com/@ecorpnu/Testsolar-lead-gen-gpt-template

Is so easy now you only need to combine your docs and presto the AI will “converse” with you based on what little it knows about the docs. Here is the proof. Note I was working on this as a demo directed at a client.

Hell most brilliant assistance. check out my testing using Claude trained on Resident Return Visa Domain and see what answers it gave.

Was travelling with my Client Takada Asset Management in JKT for signing several MOUs and working agreements with locals and corporations.

https://news.majalahhortus.com/gppi-dan-takada-asset-management-kolaborasi-tangani-kredit-karbon-kelapa-sawit/

Very interesting as Indonesia is preparing laws to have their own carbon exchange, applying Art 6 of Paris Agreement and also boosting their sea jurisdictional space. One of the main issue with Art 6 with NDCs is Accountability – ie no double dipping – create local carbon credit and designated for external usage. So far we can only see BLOCKCHAIN as a solution – transparent and immutable.

In Australia, the first place to go is the website to calculate how much can be originated.

Here is a short video on this.

For those who are inclined to read a bit more try the following

https://mootral.com/carbon-projects-carbon-credits/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420989/

https://groundtruth.co.nz/wp-content/uploads/2022/05/InfoSheet_9v3b.pdf

https://www.publish.csiro.au/AN/pdf/AN15222

For those familiar with Accreditation by third parties such as Verra, here is their take on cattles.

VM0041 Methodology for the Reduction of Enteric Methane Emissions from Ruminants through the Use of Feed Ingredients, v2.0

Working on a series of agreements to accommodate Art 6 of Paris Agreement so that carbon credits created (1) are endorsed by the governments. This is perhaps the most important issue given that in the last 14 years most were under the radar and local governments were not involved. The biggest take was when Indonesia took a stand by making an order that all projects in Indonesia will need to seek approval (https://www.spglobal.com/commodityinsights/en/market-insights/latest-news/energy-transition/041422-indonesia-halts-carbon-project-verification-process-over-legal-concerns). The implications will be felt by current external proponents verifiers such as GoldStandard and Verra also served as a trusted registry for those volunteer carbon credits (bulk of all carbon credits). I envisaged that local governments would want to have their own process to be taken first similar to the process in Australia where they have https://www.cleanenergyregulator.gov.au/

Under Article 6, a host government has the right to decide whether mitigation outcomes achieved within its jurisdiction are authorised for use towards (i) an NDC ( Nationally Determined Contributions) of another country, and/or (ii) ‘international mitigation purposes’, which is generally understood to include use by an airline operator to comply with CORSIA (Carbon Offsetting and Reduction Scheme for International Aviation), the international aviation sector’s offsetting regime.

So why fixed a unbroken process ? Traditional national governments have a role under the CDM process and after that is finished the process is now formalized in this Art 6. It is not a big surprise except for the fact that whenever regulation comes in the process will be costly, less efficient and eventually died a natural death. This can be seen by the popularity of the voluntary carbon market vs the CDM issuances. This is notwithstanding the expenses involved with the voluntary carbon market (say in GoldStandard which is the benchmark averaging close to 40K for registering (https://globalgoals.goldstandard.org/fees/) but excluding the costs of external Verifier (https://globalgoals.goldstandard.org/verification-validation-bodies/).

It is no secret that this cost shows the average costs of carbon sold on their markets is double digits while actually paid to the landowners or “guardians” is in single digits. Say

https://market.southpole.com/

https://marketplace.goldstandard.org/

Be that as it may, Art 6 perhaps will be able to assist. The pricing of carbon credits is perhaps the most difficult given different players, projects, and consistency even between themselves. This makes it very difficult for parties to distinguish other than by looking at a project that appeals to them rather than the scientific backing behind the technology to capture or avoid carbon emissions. A simple example, mangroves can take TEN times more carbon as compared to a real forest for the same area. This is because mangroves have a lot of utilities as it sits in the divide between the sea and river, most don’t even know it has a filter usage and mitigates flood. Most see mangroves as a development potential for beach-frontage.  On the other hand, some see forests through a romantic lens and therefore prefer such projects and would be willing to pay more for such carbons (this is also because it is less as it is TEN times less as compared to mangroves). Art 6 will allow the authorities to price what is basically unpriceable.

There is a good paper about Art 6 so please have a read (30+ pages) https://www.goldstandard.org/sites/default/files/documents/carbon_credit_rights_under_the_paris_agreement_november_2022.pdf

The paper above also alluded to the English law position on Carbon Credits in the case of Armstrong v Winnington [2012] EWHC 10, [2013] Ch 156

see https://www.bailii.org/ew/cases/EWHC/Ch/2012/10.html

Recently got jobs to do due diligence ESG on two industry telco and banks. Interestingly they score above average. To begin this is what I did (first to find out about how the data is collected)

Most start with S&P reports (https://github.com/monouns/ESG-AI-investment-by-streamlit) without realizing how those reports are generated (ie by survey input from the companies themselves and if there is no report returned to S&P, S&P will ‘input’ for the absent company to the best of their knowledge). In short, at best these are non-verifiable self-reports.

Some of the studies merely extract data from reports without doing any verification (see https://github.com/edgetrader/esg-nlp or https://github.com/aws-samples/aws-esg-evaluation-handson/tree/main/notebooks). Similarly even databrick has its own version of extracting data from self-reports to understand ESG https://github.com/databricks-industry-solutions/esg-scoring

This one provides a scrapping tool and dump data into a file for further analysis. I included this as it is normally a good starting point https://github.com/shweta-29/Companies_ESG_Scraper
The general formula in this extraction is to look for keywords such as policy and performance in the reports in the belief that having a policy or performance metrics somehow equate to accountability and therefore some measurable governance. The last step is usually to apply the result against financial ratios to sustain the relationship between ESG and Financial. See for example https://developers.refinitiv.com/en/article-catalog/article/esg-disclosures

Lastly we have an example of integrating into a portfolio by applying the resultant data (in this case extracted from Bloomberg) https://github.com/LucS12/ESG-Score-Integration or this one https://conscious-investing.herokuapp.com/ (using 2019 data).

Stay tune to the next step …..

Banks – the issue is not so much environment (other than their lending activities) the main issue is banks are subject to the “Social” side and “Governance” side of ESG. This following should give you an idea of where I am heading  click here to ABC site