kinj28

Problem with modern grains 1) gluten 2) weed killers/ pesticides 3) lack of nutritional value

My father and many other people in my family increased to neutral millets and started giving up wheat as much as they can.

Those problems are worth solving for or roll back to grossini seeds and use his creative technique to not let it withered by wind and let’s you have better nutritional value

Today open AI is serving ads to App free users post their queries. If the ad is relevant and adjacent to the query then it does show the ad in the chat. It isn’t clear how relevant ads are and users behaviour on this yet but worth experimenting to learn.

Pre-AI, we used to spend upwards of $60K a year on Google Ads to keep our inbound pipeline running.

In the post-AI world, that spend dropped to $0. Not because Google Search suddenly stopped working, but because our segment (low-code platforms) was one of those that AI was going to disrupt significantly. We had to rethink and adapt our offering to the AI world before doubling down on marketing.

Now that we’ve repositioned and adapted our product, our marketing team has started experimenting with OpenAI as a channel, but we haven’t switched Google Ads back on.

There’s also something I find interesting about this shift. Google Ads always felt a bit like a mafia tax. When we stopped paying, our organic traffic seemed to take a disproportionate hit too. We could never quite figure out why. Maybe it was coincidence, maybe something else, but it left us questioning how independent organic search traffic really was from paid search.

update -- been over 5 days and google has just kept pushing their time lines. saying it needs cross team evaluation. I had similar experience with AWS and they were swift to give back credits to us. this tells me some serious issues with google and their org structure if this 2500$ is taking them a long long time to decide and involves cross functional teams. or maybe they have many more such incidents and adding up many more $$ or this is the 1st of its kind and are now putting an SOP. any one from google here?

I would like to imagine pacing frontier is in interest of both (anthropic and open AI) as it will enable them to enlarged their depreciation

I would like to imagine accounting inference revenue on trained model and the depreciation cost for training that specific model must already been capitalized + compute to serve would be a net positive margin business. Ongoing training must rather be for future models.

But again once future models arrive they would render older models useless, so the asset must be depreciating really fast.

Would love someone to throw light on revenue and cost recognition at the unit level for this.

My father has gastric melonama and pretty much last few days left — does someone with knowledge know if this vaccine can be of any help? Or any registry available?

I cold emailed a researcher in Japan about gut bacteria e. Americana for cancer treatment and registering my dad for clinical trials as and when they happen. And hell yea - professor replied :)

So yes — just do it!

But isn’t the case that faster you fail you get to the goal post better? Terminally ill trial vs non terminally ill can be differentiated somehow while measuring efficacy and other post trial parameters ?

This seems very promising

This is helpful.

I would think everything boils down to source of funding and their narrative should get pushed!

I am afraid — if Chinese models go mainstream it has a clear way of pushing its narrative way beyond its otherwise borders. More like a Trojan horse it is for the Chinese.

Here is a quick example of how Chinese deepseeks agent works kn its underlying model) when asked a tough question

https://x.com/jinen83/status/2079406993979383902?s=46&t=D7hQ...

Maybe a tangent point but quality of their open weights is a directly proportional to what’s gone in while training. IMHO Chinese models must have gotten heavily biased “official Chinese view” in most topics of how it sees the world. So for AGI purposes — yes a challenge would be win in the west for these open weights

I tried DeepSeek agent to get answers from Chinese models on some tough questions regarding Chinese govt and it refused. I am very keen to go a level deep and host the model and see what it really gives an answer

https://x.com/jinen83/status/2079406993979383902?s=46&t=D7hQ...

I am using it as one the agent that is automating LinkedIn outreach by running a bash script & using ai wherever it needs some decision like finding first name or what message to write, etc.

Makes sense. But with plain English you can build similar small single purpose app and someone else hosts it. No need to learn how to make low code work and 10x faster. IMHO plain English will triumph!

DronaHQ.com

The day they are available as a platform to teach them skills and make them do things like we need it!

Some random thoughts —

why language would evolve ? Let’s say to make it easier and better ? And if such a case then wouldn’t that be applicable to all languages? If yes then I am a native kutchi speaker and it just a dialect. How would its history of change could even be found? But I do speak other languages like Gujarati and Hindi and I wonder if there was any evolution if those languages which have a

As I read the article — I was curious if there are any language museums. If any would love to visit.

They do give an option to upload statements. I don’t know if that leads them to achieve claw back. Am curious if they can do this?

I am the founder of Dronahq - bootstrapped Low code platform. I fully concur with how AI is eating low code platforms for breakfast.

However underlying principles haven’t changed.

-Engineering bandwidth is minimally available for Internal tools. -Enterprise controls/guardrails are important needs - bringing in data to your app is a must have - maintaining code vs low code apps — low code has been a lot easier

In a conversation with a CTO at VC fund - he predicts that 4-6 quarters and you shall see demand back to peak in low code segment!

In a customer conversation— customer made one tool with cursor and he was very successful but by the time he started adding features for 2.0 everything started breaking and he wanted to move back to lowcode.

As a low code vendor- we just added internal tool building agent that underneath writes react code and leverages the other core capability of the platform thereby giving users best of both the worlds.

But surely interesting times ahead for the category. Let’s see if it survives or dies!

My personal take— it will survive and converge with agentic ai!