Germán Molina Larrain

44 posts

Germán Molina Larrain

Germán Molina Larrain

@germolinal

Katılım Ekim 2025
98 Takip Edilen0 Takipçiler
Dev Ed
Dev Ed@developedbyed·
Macbook M5 Pro + 64GB Unified Memory seems like such a good machine for running local models. Wonder how it holds up against an rtx 5090 especially with difussion models
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beginbot 🃏
beginbot 🃏@beginbot·
Opencode just confirmed 160 layoffs but sources inside are telling me the real story is so much worse Word from three different VPs: the 160 number is just “Phase One” — internal docs show another 140 cuts planned for Q2 A director walked me through their new “efficiency matrix” — entire teams being replaced by 2–3 senior engineers running 200 Opencode TUI instances, 50 Opencode Desktop, and 2 Opencode mobile instances each. The tooling division got completely hollowed out. 20 engineers two day ago. 2 remaining after this week. All internal tooling development moved to a Off-Cloud team of 2 interns with Opencode Black access. Here’s the sick part: they’re making the outgoing engineers document their entire decision-making process into “knowledge transfer sessions” that are being recorded and fed directly into Opencode training datasets One staff engineer told me he spent his final two hours creating detailed prompt libraries, workflow documentation and twitter shit-poster skills. Thought he was being helpful for the transition Turns out he was literally training the Opencode agent that replaced his entire org The contractors offcloud are using his exact prompts and shipping features 20% faster than his old team of 350 ever did Internal Discord shows leadership celebrating “operational excellence” while badges get deactivated in real time They’re calling it “right-sizing for the AI era,” according to Dax in the all-hands But the P&L sheets I’m seeing show $2.8M in salary savings this quarter alone
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trash
trash@trashh_dev·
how do you say in corporate “your code sucks”
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Germán Molina Larrain
Germán Molina Larrain@germolinal·
@svpino I talk about this a lot. LLMs are third party entities sending instructions to your server in the form of tool calls and arguments. You should treat that as untrusted and limit them accordingly. I have been toying an experimental AI Agent framework that focuses on security.
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Santiago
Santiago@svpino·
The reason agents are exploding right now is that we figured out how to give them access to tools. MCP is a huge part of this. But nobody is talking about how to secure these servers. The lack of security is making people throw their computers out the window. If you're building an MCP server, you have two choices: 1. Use static API keys → This is a disaster. 2. Become an expert in OAuth 2.1, PKCE, and the MCP spec. Neither option is great. Agents are fundamentally different from humans: • They should be able to act autonomously • They should be able to work across multiple systems • They should have dynamic access at the function and tool levels • Their credentials should be short-lived • Their credentials should be scoped as tightly as possible Traditional IAM systems don't work for this. Fortunately, we now have a solution!
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Dustin
Dustin@r0ck3t23·
Dario Amodei just dismantled the biggest myth in the AI industry. Open source AI isn’t free. It never was. Amodei: “It’s not free. You have to run it on inference and someone has to make it fast on inference.” For decades, open source meant something real. It meant a teenager in a basement could download the same tools as a Fortune 500 company. Could read the code. Could modify it. Could build something that competed with the giants. That was genuine democratization. That actually happened. AI is different. Fundamentally. Physically. In ways the ideology hasn’t caught up to yet. Downloading the weights is the easy part. The part that actually costs something is turning the weights into a running system. Into responses. Into intelligence operating in real time at scale. That requires compute. Power. Infrastructure. The kind measured in billions of dollars and years of construction. Amodei: “These are big models. They’re hard to do inference on. Ultimately you have to host it on the cloud. The people who host it on the cloud do inference.” The open source debate was never about who owns the model. It was always about who owns the cloud. And Amodei goes further. When a competitor drops a new open model, he doesn’t ask whether it’s open or closed. He doesn’t care about the licensing. He doesn’t engage the ideology. Amodei: “I don’t think it mattered that DeepSeek is open source. I think I ask, is it a good model? Is it better than us at the things that matter? That’s the only thing that I care about.” That’s the ruthless clarity of someone actually trying to win. While the media debates licensing frameworks, Amodei is asking one question. Is it better. Everything else is a distraction. Amodei: “I don’t think open source works the same way in AI that it has worked in other areas. Here we can’t see inside the model.” This isn’t Linux. You can’t read it. You can’t fork it. You can’t understand it the way generations of developers understood the tools they inherited. You can download it. And then you need a data center to run it. The teenager in the basement who was supposed to be empowered by this revolution needs a billion dollars of infrastructure before the empowerment starts. The era of the basement coder rewriting civilization on a laptop is over. The future belongs to whoever commands the compute, owns the power grid, and can actually turn the intelligence on. Open weights without infrastructure isn’t democratization. It’s a promise the physics of the universe won’t let us keep.
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
we are about to hit 1 9 of availability while coding is largely solved
ThePrimeagen tweet media
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Lasse
Lasse@lassvestergaard·
Anyone is subscribed to @zeddotdev pro? I would if they made it good 👀
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siddharth
siddharth@buildwithsid·
found a guy who codes only on sundays the rest of the week? touches grass
siddharth tweet media
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Dev Ed
Dev Ed@developedbyed·
So when is AI gonna solve all the diseases? Have they tried setting ‘thinking’ to high?
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AVB
AVB@neural_avb·
@ThePrimeagen @ People who are saving time using OpenClaw - you're using that extra time to do WHAT exactly?
AVB tweet media
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Summer Yue
Summer Yue@summeryue0·
Nothing humbles you like telling your OpenClaw “confirm before acting” and watching it speedrun deleting your inbox. I couldn’t stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb.
Summer Yue tweet mediaSummer Yue tweet mediaSummer Yue tweet media
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Uncle Bob Martin
Uncle Bob Martin@unclebobmartin·
@djpg2000 It's a tank! It's close to indestructible. It's hard to imagine a safer, and more utilitarian vehicle.
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
@bryan_johnson seriously though, does reading a book from your phone count? beautiful wife next to me needs to sleep and i am trying to read my papa Aristotle
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teej dv 🔭
teej dv 🔭@teej_dv·
one thing that is definitely cool about agents is that they will do a boring thing one million times
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Germán Molina Larrain
Germán Molina Larrain@germolinal·
@ThePrimeagen We should create a startup that measured how much content was provided by different sources and made them participate of profits.... but profits are Zero..? Still, can we tag people who might be willing to join this? I actually have lots of experience developing AI-powered apps
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Germán Molina Larrain
Germán Molina Larrain@germolinal·
@ZackKorman Worry not, last night I asked my ai agents to develop an AI Tinder, for matching AI problems with AI Solutions. Investors hate me because This is a recursively growing business: all AI solutions create new problems
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Zack Korman
Zack Korman@ZackKorman·
The cybersecurity market is about to become completely unhinged. Buyers don’t understand AI, and now vendors get to sell AI solutions to AI problems. Welcome to the year of the snake oil.
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Germán Molina Larrain
Germán Molina Larrain@germolinal·
@yongfook "You are right to point that out, and your question suggest you are thinking of this in the right way. It is not paranoia, it is clarity of thought" or something...
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Jon Yongfook
Jon Yongfook@yongfook·
Are the majority of replies AI now? or do people just increasingly sound like AI from overuse of LLMs in their daily life? Discuss.
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