KIPNGENO BRIAN

Visionary, Creator, Living with the flow, Daring Greatly

[Demis Hassabis @demishassabis]

https://t.co/PTeDiv1b6L

[@jason @Jason]

So, to confirm, do uncomfortable things… from your yacht in St Tropez? 😂😂😂 😘 @TonyRobbins 😂

[KIPNGENO BRIAN @KIPNGENOBRIAN]

@tonykipkemboi @metaai @modal @vercel Nice stuff, i will try it out. A speculative question: is data the only limitation or also modern model tokenization bias on English as compared to languages?

[Sundar Pichai @sundarpichai]

We trained a new flood forecasting model designed to predict flash floods in urban areas up to 24 hours in advance.

To help address a flash floods data gap, we created Groundsource: a new AI methodology using Gemini to identify 2.6M+ historical events across 150+ countries.

We’re open-sourcing this dataset to advance global research, and urban flash flood forecasts are live now in Flood Hub to help communities stay safe.

[KIPNGENO BRIAN @KIPNGENOBRIAN]

Should I tell her the truth or let her count me as magician 😃

[KIPNGENO BRIAN @KIPNGENOBRIAN]

A friend in Kenya just started a pharmacy a year ago. She has been struggling with inventory management and tracking, she consulted me on what she can do. Told her wait a moment, in 24 hours, she had a working lite pharm POS system. All thanks to @claudeai @ChatGPTapp

[Andrej Karpathy @karpathy]

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.

Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.

As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.

It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

[KIPNGENO BRIAN @KIPNGENOBRIAN]

@Tim_Denning Straight shooter with no bs
Live within your means
Invest in yourself
Outside validation is for the weak
Just do it!

[KIPNGENO BRIAN @KIPNGENOBRIAN]

@LangChain Agent Engineering will birth several disciplines just like software engineering. It seems to be converging towards a hybrid model of deterministic and non deterministic approaches especially for critical systems. Agents is another horizontal batch summoned on need basis

[KIPNGENO BRIAN @KIPNGENOBRIAN]

It is not about shouting the loudest but solving the loudest problem in silence such that the solution will yell!

[Amjad Masad @amasad]

How to Keep Winning

https://t.co/cfUFTlDctk

[KIPNGENO BRIAN @KIPNGENOBRIAN]

@elonmusk Wisdom is knowing the difference

[KIPNGENO BRIAN @KIPNGENOBRIAN]

And the new!! @terencecrawford showed what you put your mind on and believe, it is possible to accomplish.
#CaneloVsCrawford

[KIPNGENO BRIAN @KIPNGENOBRIAN]

I use GPT apps mostly as audio especially at work, i interrogate some ideas on the go. From my experience, Gemini 2.0 Flash seems to be seamless when narrating the generated text. ChatGPT 4o and o1 seem to lag and repeat itself on narration. What are your experiences?

[KIPNGENO BRIAN @KIPNGENOBRIAN]

Mission Dolores Park #SF

[KIPNGENO BRIAN @KIPNGENOBRIAN]

Enjoying this city #Sf #SanFrancisco

[Codie Sanchez @Codie_Sanchez]

3. Nobody Wins If They Don’t Play

90% of success is accidental.

But here’s what you need to remember:

It can only happen if you're in the game.

When you become the best at what you do, opportunity finds you. So does luck.

[Eddie @eddie365_]

Phenomenal newsletter today from @JamesClear

Highly recommend subscribing.

[Farnam Street @farnamstreet]

If you spend too much time with people who don't have any ambitions, you'll soon lack the fire to excel.