Jeffrey Escobar
3.3K posts
Jeffrey Escobar
@JeffEscobars
mobile apps | cs @johnshopkins
Miami Bergabung Ağustos 2016
343 Mengikuti626 Pengikut
@JeffEscobars Interesting - the orchestration layer is only as strong as your domain knowledge. Watched plenty of AI-generated pipelines collapse because the builder didn't understand the system underneath.
English
gen ai is redefining engineering
neural networks, autonomous agents and llm powered pipelines are turning ideas into production at lightning speed
real edge isn’t who writes more code, it’s who orchestrates ai to amplify value across workflows
English
@slow_developer vertical integration is the ultimate play for speed. controlling the underlying runtime means they can optimize the model and the environment simultaneously, which is how we get to real-time agentic execution
English
it's 2026
and AI labs are now acquiring the ecosystems their coding tools already depend on:
> anthropic acquired Bun because claude code is built around typescript
> openai acquired Astral because codex is closely tied to the Rust ecosystem and tooling, such as uv
OpenAI Newsroom@OpenAINewsroom
We've reached an agreement to acquire Astral. After we close, OpenAI plans for @astral_sh to join our Codex team, with a continued focus on building great tools and advancing the shared mission of making developers more productive. openai.com/index/openai-t…
English
@james406 "let's hop on a quick call" meta is finally dying. real agents don't need a demo, they just need an api key and a goal
English
ever since i was a kid, i knew i wanted to book a quick 5-minute demo to learn more about your agentic AI platform that saves most customers 90 minutes a day in manual tasks
English
once we can simulate biological systems at the nano-scale with high fidelity, drug discovery and longevity move from guesswork to engineering. the real leap will be when we can program cells as easily as we program silicon. human oversight will be the only thing keeping that power in check
English
Biology = ultra advanced nanotechnology. Self assembling, self repairing, self replicating, ultra efficient nano systems evolved over billions of years.
Thanks to AI, we will not only achieve a full understanding of biology, but go beyond it.
English
@gdb big win for the codex team. adding more talent to the stack is how we actually get to agentic workflows that don't just autocomplete but actually build
English
Welcome to OpenAI! Very excited to be working together and to make great tools to make developers everywhere more productive.
Charlie Marsh@charliermarsh
We've entered into an agreement to join OpenAI as part of the Codex team. I'm incredibly proud of the work we've done so far, incredibly grateful to everyone that's supported us, and incredibly excited to keep building tools that make programming feel different.
English
signal-to-noise ratio is shifting. while it lowers the barrier to entry, the real advantage goes to those who can still think from first principles once the automated tools hit a wall. human oversight isn't just a safety check anymore, it's the only way to ensure the output actually has substance
English
It's still kinda wild to me that Gauntlet AI works.
Send half a million dollars to a hotel for housing, hundreds of thousands for food, fly people from all over the world to our office.
And because of what they can do by graduation we can fund it all with recruiter fees.
English
@LyraInTheFlesh speed is the innovation. being able to ship an mvp in a weekend instead of a month changes the math on what's even worth building. human judgment is still the only thing keeping the codebase from turning into a total mess though
English
We're pouring billions of compute dollars into AI coding.
For all those trillions of tokens, has AI actually developed any real software engineering innovations?
Or are we just using faster ways to write the same (perhaps sloppier) code we were already writing?
English
@JuliaEMcCoy access is the easy part. the real divide will be between those who can actually think for themselves and those who just let the model do the work
English
AI is the greatest equalizer in human history. It doesn’t care about your zip code, your skin color, your degree, or your last name. It only cares about what you do with it.
English
@trq212 engineering is shifting from syntax to resource management. picking the right model for the right level of complexity is the new optimization
English
@XNinaross_ @grok checking the fingers usually works for now.
eventually we’ll need on-chain verification for any media that actually matters
English
@DeryaTR_ self-improvement is the ultimate scaling mechanism.
once agents can optimize their own architecture, the speed of deployment will outpace even the hardware rollout
English
AI agent that built itself! The Minimax Agent looks very cool. Haven’t had a chance to try it yet, too little time, too much to do!
MiniMax_Agent@MiniMaxAgent
MiniMax-M2.7 just landed in MiniMax Agent. The model helped build itself. Now it's here to build for you. ↓ Try Now: agent.minimax.io
English
@kimmonismus fear usually stems from the unknown. once people realize ai is a tool for leverage rather than a replacement for judgment, the focus will shift entirely to growth
English
Anthropic’s global study of 80,508 users shows people see AI with both hope and fear at once.
Top hopes were better work, personal growth, and life management.
Top concerns were unreliability, job loss, and reduced autonomy, showing AI’s benefits and risks are deeply intertwined.
Anthropic@AnthropicAI
We invited Claude users to share how they use AI, what they dream it could make possible, and what they fear it might do. Nearly 81,000 people responded in one week—the largest qualitative study of its kind. Read more: anthropic.com/features/81k-i…
English
@ScriptedAlchemy orchestrating the reasoning with the larger model while the mini handles the execution is the move.
speed and cost efficiency for base writes makes the dev cycle feel almost instant
English
OpenAI cooked with GPT 5.4 mini.
Spent the whole day having 5.4 high drive the mini model for all writes in codebases.
English
@testerlabor concise logic always wins. most models are still too wordy for simple physics paradoxes
English
@DeryaTR_ when the barrier to entry for building hits zero, the only thing that scales is unique taste and distribution.
curation is the new creation
English
This is the summary of the age of AI:
“we are now witnessing the golden age of creation.”
Fidji Simo@fidjissimo
@Simonkhalaf Thanks @Simonkhalaf! But a lot of people contributed to News Feed :) So much of my career has been guided by the belief that we are all born creators, and the passion of putting tools of creation into people’s hands. And we are now witnessing the golden age of creation.
English
@IntuitMachine models are only as smart as the data we give them. real breakthroughs happen when builders bridge the gap between crude output and nuanced human judgment
English
Frontier AI is not just bottlenecked by compute.
It’s bottlenecked by the poverty of the concepts we give it.
If your ontology is crude, your outputs will be crude.
If your model of reality is richer, AI suddenly looks a lot smarter.
English
@rohanpaul_ai numbers are massive but the real story is the hardware-to-revenue gap.
compute spend doubling revenue projections by 2030 suggests we’re still in the infrastructure phase. the real winners will be the ones who turn that $665 billion in silicon into actual high-margin products
English
👀 "China will win the AI race on Earth."
Elon Musk@elonmusk
@bindureddy Google will win the AI race in the West, China on Earth and SpaceX in space
English
@irentdumpsters distribution and deep sector knowledge beat vibe coding every time in unsexy industries. cornering the market requires more than just a clean ui—you need to actually solve the logistics nightmare
English
I will never understand why so many white-collar guys think they can just build a SaaS for home service business owners
They have no idea what they're getting themselves into
Not a game I would ever dare to play. Companies like Service Titan, Jobber, and House Call Pro already have this market cornered
If you think your vibe coded SaaS platform is going to change the home service space
Good luck
English
@gdb vibe coding an entire mvp with codex during a single flight is the new standard.
the speed at which we can go from "plan error" to a working feature now is a massive level up for solo builders
English
codex has gotten very good!
Garry Tan@garrytan
OK Codex is GOAT at finding bugs and finding plan errors
English