Eric Ramírez

2.2K posts

Eric Ramírez

Eric Ramírez

@host_down

I like security research.

Santo Domingo, Dom. Rep. Katılım Kasım 2022
2.4K Takip Edilen291 Takipçiler
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Eric Ramírez
Eric Ramírez@host_down·
“I'm going to show you, nobody will ever work as hard as I work.”- Michael Jordan.
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David Cramer
David Cramer@zeeg·
What’s the best IDE right now that isn’t full hands off to agents, but integrates them extremely well? I need to rewind time a bit and stop wasting it
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Jason Fried
Jason Fried@jasonfried·
A bespoke software revolution? I don't buy it. It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways. Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo... Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all. So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design. They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job. Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before. Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.
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zack
zack@zack_overflow·
I still see so many instances where I have to re-inject good engineering taste into AI generated code Simplest example is preferring exhaustive pattern matching over if/else statements. Often I see agents will default to if/else statements which is not resilient to adding new variants in the code and introduces bugs There a thousand other instances of small poor taste paper cuts like this
antirez@antirez

Wow, I totally disagree with this statement. At the current state, AI actually amplifies the developer to developer difference. If you were a 10x developer, you had good ideas + architectural clarity, this is a brutal advantage when using AI. Steering is a fundamental part of today's AI development.

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chompie
chompie@chompie1337·
Wonder what I mean? Well, for one, even with seamless tool integration, the frontier models are still pretty poor at debugging for xdev purposes. It makes sense — the public training data for that is inexistent…
chompie@chompie1337

@seanhn Im a sceptic for now. I’m building out an agent based system and while im extremely impressed, my benchmarks aren’t being met. Human experts are still way better.

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chompie
chompie@chompie1337·
sorry babe, not tonight 2x claude usage during off-hours
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Eric Ramírez
Eric Ramírez@host_down·
@davidbombal @Cisco From a year to a week? I'd like to hear the lead devs' opnion on that😝Besides, is it really ready if it still needs months of testing?
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David Bombal
David Bombal@davidbombal·
Vibe coding is scary real! Is Vibe Coding the future of AI coding? See how 500,000 lines of legacy code became lean Golang microservices in just one week. The 2026 tech disruption is here. Big thanks to @Cisco for sponsoring this video.
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François Chollet
François Chollet@fchollet·
This is more evidence that current frontier models remain completely reliant on content-level memorization, as opposed to higher-level generalizable knowledge (such as metalearning knowledge, problem-solving strategies...)
Lossfunk@lossfunk

🚨 Shocking: Frontier LLMs score 85-95% on standard coding benchmarks. We gave them equivalent problems in languages they couldn't have memorized. They collapsed to 0-11%. Presenting EsoLang-Bench. Accepted to the Logical Reasoning and ICBINB workshops at ICLR 2026 🧵

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Jordyn Wallace 🛩️ 💻 @ All Things AI
Story time: so my lovely house cleaner was scheduled to come today and I forgot. Bc I forgot, I didn’t do the pre-house-cleaner clean. So when she showed up I was mortified, apologizing profusely to my house cleaner for not cleaning. Why am I like this? I blame Brenda.
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@buscamepor·
@host_down Vamos papi, esto también es de ustedes 💛 que formaron parte del camino.
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@buscamepor·
Divina Pastora, en ti confío.
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Paloma Ricaño
Paloma Ricaño@algunapaloma·
Urge una academia o alguna iniciativa de hostelería porque eso del buen trato y buen servicio deja MUCHO que desear para ser un país tan turístico. Cada que salgo a algún sitio ya sé que debo cargarme de paciencia o arriesgarme a que me den un boche o me pongan una mala cara.
Anny Esther Burgos ✝️🇩🇴💙🇮🇱@annyestherburg

No es posible que lo primero que vea un turista en un resort sea el rostro haitiano. Míralo completo aquí 👇 youtu.be/5F880G5jp_U?si…

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Martin Varsavsky
Martin Varsavsky@martinvars·
The future of innovation isn't confined to a single valley or continent. Global talent pools are the competitive edge. Startups that master remote work and attract diverse minds from anywhere will outpace those stuck in traditional hubs. Talent is everywhere, opportunity should be too.
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Eric Ramírez
Eric Ramírez@host_down·
Sometimes Opus 4.6 give me a suboptiomal or wrong solution.
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Eric Ramírez
Eric Ramírez@host_down·
Press all the buttons, never stop being curious.
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François Chollet
François Chollet@fchollet·
The bottleneck of current AI is simple: the techniques we use are still predicated on pattern memorization and retrieval, and thus they need *someone* to tell them which patterns to memorize (training data, RL envs...) That role cannot yet be played by AI in a truly open-ended and autonomous way. We can't yet remove the humans in the loop. In that sense, current AI is still purely a reflection of human cognition (both in terms of which tasks/goals it pursues and the patterns it uses to solve them). It isn't yet its own thing.
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Jordyn Wallace 🛩️ 💻 @ All Things AI
How about another panel, guys?! Seriously.. I’m producing a panel and I want your opinion on the topic.. Pick one, argue in the replies, I’m reading all of it. 🗳️
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François Chollet
François Chollet@fchollet·
When thinking about the societal implications of technology-induced abundance, you can use the present as a reference. The present is already a state of extreme abundance compared to 200 years ago and you should expect similar dynamics to play out
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Stephen Sims
Stephen Sims@Steph3nSims·
I want to share a quick thought for people in cyber security. This will be my longest tweet ever. I’ve spoken to many lately who are having an existential crisis from the constant posts about “the end of cybersecurity jobs.” Yes, things are changing quickly. This is a significant moment for the tech industry. Change can be uncomfortable. But we’ve seen cycles like this before. • When GitHub and open source took off, people said software engineers would disappear because code was free. • When AWS and cloud computing emerged, people said infrastructure jobs would vanish. • When fuzzing and SAST tools improved, people said vulnerability research would disappear. • Virtualization would eliminate infrastructure jobs. • Mobile computing was going to end desktop dev. • Exploit mitigations would end exploitability. It didn't. Each time automation improved, the amount of software grew faster than the automation. It does feel "different" this time as it's explosive. Some roles will shrink: • repetitive pentesting • basic vulnerability scanning • tier-1 SOC monitoring But other areas are expanding rapidly: • AI system security • supply chain security • identity architecture • autonomous agent security • critical infrastructure protection Historically, every time we eliminate one class of bugs, new classes emerge. Right now people are vibe-coding entire systems, giving AI access to their machines, crossing trust boundaries, and deploying autonomous agents with excessive permissions. The legal and regulatory world is nowhere close to ready. There will absolutely be new failure modes. Humans are amazing and always adapt, finding new ways to do things. The worst thing you can do right now is fall into a doom loop. ...and I’ll be honest, I too have felt the "psychological paralysis" a few times thinking, “Is this time different?” It's especially impactful when it comes from someone I respect in the community. There are certainly unknowns, in an industry where we've become accustomed to predictability. But... the majority of those reactions are usually driven by social media, not reality. Platforms like X reward engagement, and sensational doom posts spread faster than measured thinking. If you see something like: “Holy #$%^! Opus 66.6 just found every bug in Chrome and replaced 50 startups!” …mute it and move on. Instead: Stay curious. Learn the new technology. Adapt your skillsets. Build things. We’ll get through this transition the same way we always have. If I'm wrong then Sam Altman better be right about UBI! :) I'm sure that if this tweet gets any engagement that I'll get some heat for it, but a good friend of mine reminds me often to focus on what you have control over. I'll revisit this tweet at DEF CON 40!
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