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Mbogo☮️

Mbogo☮️

@shifft____

Merci malgré tout

Sanity เข้าร่วม Mayıs 2019
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shadcn
shadcn@shadcn·
Rooting for @github. They’ve given me years of free infra. happy to give them some time to figure this out. You got this.
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Moe
Moe@moneyacademyKE·
Auditor General reveals massive irregularities in affordable housing projects audit. She says a total of 269 out of 394 projects lack proper land ownership documents, raising legal risks over the programme.
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Michael Asari
Michael Asari@Mburu_reads·
Jana kwa mat nilipanda nikienda home everyone was looking so pissed - tired, exhausted, underpaid and underfucked, mpaka conductor akasema ati “jamani tulipe fare kwa upendo” 😭😭 I kid you not 😂😭
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Andrej Karpathy
Andrej Karpathy@karpathy·
Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights: The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons: 1. menugen: an app that can be fully engulfed by LLMs, with no classical code needed: input an image, output an image and an LLM can natively do the thing. 2. install .md skills instead of install .sh scripts. Why create a complex Software 1.0 bash script for e.g. installing a piece of software if you can write the installation out in words and say "just show this to your LLM". The LLM is an advanced interpreter of English and can intelligently target installation to your setup, debug everything inline, etc. 3. LLM knowledge bases as an example of something that was *impossible* with classical code because it's computation over unstructured data (knowledge) from arbitrary sources and in arbitrary formats, including simply text articles etc. I pushed on these because in every new paradigm change, the obvious things are always in the realm of speeding up or somehow improving what existed, but here we have examples of functionality that either suddenly perhaps shouldn't even exist (1,2), or was fundamentally not possible before (3). The second (ongoing) theme is trying to explain the pattern of jaggedness in LLMs. How it can be true that a single artifact will simultaneously 1) coherently refactor a 100,000-line code base *and* 2) tell you to walk to the car wash to wash your car. I previously wrote about the source of this as having to do with verifiability of a domain, here I expand on this as having to also do with economics because revenue/TAM dictates what the frontier labs choose to package into training data distributions during RL. You're either in the data distribution (on the rails of the RL circuits) and flying or you're off-roading in the jungle with a machete, in relative terms. Still not 100% satisfied with this, but it's an ongoing struggle to build an accurate model of LLM capabilities if you wish to practically take advantage of their power while avoiding their pitfalls, which brings me to... Last theme is the agent-native economy. The decomposition of products and services into sensors, actuators and logic (split up across all of 1.0/2.0/3.0 computing paradigms), how we can make information maximally legible to LLMs, some words on the quickly emerging agentic engineering and its skill set, related hiring practices, etc., possibly even hints/dreams of fully neural computing handling the vast majority of computation with some help from (classical) CPU coprocessors.
Stephanie Zhan@stephzhan

@karpathy and I are back! At @sequoia AI Ascent 2026. And a lot has changed. Last year, he coined “vibe coding”. This year, he’s never felt more behind as a programmer. The big shift: vibe coding raised the floor. Agentic engineering raises the ceiling. We talk about what it means to build seriously in the agent era. Not just moving faster. Building new things, with new tools, while preserving the parts that still require human taste, judgment, and understanding.

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I am Chege
I am Chege@_James041·
"The Constitution didn't give us a voice to whisper" ~ Okiya Omtatah
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Ademba Allans
Ademba Allans@Ademba_47·
2.3M new voters in a month has never happened in Kenya. Makes new voters to 2.6M. Ni mbaya.
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Fabrizio Romano
Fabrizio Romano@FabrizioRomano·
🚨 Mason Mount: “I think next season we can win the Premier League”, told Daily Mail.
Fabrizio Romano tweet media
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Bevalyne Kwamboka
Bevalyne Kwamboka@bevalynekwambo3·
Why is mainstream media not giving Okiya’s odious debt case the attention it deserves? Mnh, noticing
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Ademba Allans
Ademba Allans@Ademba_47·
Tumefika 2,612,725 new voters. Tumepita target na 100k.
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NASBA FC
NASBA FC@SixtusAbiakam·
🔴🤔 Did you know? Luis Díaz’s salary at Liverpool was £65,000 per week. Liverpool delayed extending his contract to avoid a wage increase. Díaz’s side requested a raise to £250,000 per week, but it wasn’t granted. Then FC Bayern Munich came in with a €75 million offer and a £250,000 weekly salary, exactly what he wanted and it was accepted. Liverpool let him go, considering Cody Gakpo is younger. And did you know? That £250,000 weekly wage is now being paid to Gakpo. Dumb as f* 😂😂😂**
NASBA FC tweet media
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James Ward
James Ward@JamesWard·
Generally developers think of Go as being great for concurrency. Its not. JVM approaches are vastly superior. And even some of the best in the whole industry when you include virtual threads, structured concurrency & Effects.
ahmetb@ahmetb

if you enjoy using the concurrency primitives in Go, challenge yourself to implement a connection pool sometime. there are A LOT more edge cases in this than I originally thought.

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William Achuchi
William Achuchi@Dev_Williee·
God has been faithful. I've started a new remote .NET role today. A fully packaged workstation has been shipped and delivered, I love it.
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