Elin Lütz

1.5K posts

Elin Lütz

Elin Lütz

@utzle

software engineer

Stockholm Katılım Ağustos 2011
1.2K Takip Edilen495 Takipçiler
Elin Lütz
Elin Lütz@utzle·
we used to just make dumb little jokes on here, now i open the app and it’s a battlefeed
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Elin Lütz
Elin Lütz@utzle·
@gabriel1 curious what the workplace looks like from here open offices barely survived zoom and now even focus time is everyone talking to their laptops
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gabriel
gabriel@gabriel1·
me and everyone around me prompt codex and chatgpt with voice. the more decisions you can spit out to codex the better your code will be, so you're only interface limited the "everyone will use speech" guys were right, just 234 products and 18344 softwares too early
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Elin Lütz
Elin Lütz@utzle·
where I live? yeah it’s just a small city far north. 330th largest in the world or something. Stockholm. it’s on a peninsula in the eurasian landmass. basically at the edge of the arctic circle, close to russia. also did you know we have a very good number of unicorns per capita.
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Elin Lütz@utzle·
at dinner a guy told me his kid would completely lose it every time they took away her iPad and that his mental model now had flipped from “the iPad calms her down” to “she’s having iPad withdrawal”. thought that was interesting.
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Elin Lütz
Elin Lütz@utzle·
claude said it can’t rebuild the app i wanted because of copyright ”fine i’ll ask claw then” immediately starts building
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Elin Lütz
Elin Lütz@utzle·
don’t quite know what to call it but I think ”ceremonial” software will survive AI by ceremonial I mean software that comes with opinions and a set of rules. as a company, you buy the software for the process and for everyone in your organization to follow that process. ceremonial software can be both horizontal, vertical, CRUD or workflow apps, so none of these categories really capture it in one sense you’re not really buying the software itself, you’re buying the trust, the software company’s accumulated know-how, the best practices and customer support software that’s more ”instrumental” - a flexible tool where you configure everything yourself and have to invent the process on your own, will likely be eaten by AI first. even though it’s technically more advanced to build these tools and the current trend is to build them and deploy with FDEs, this kind of software will be built on demand with AI the moat in ceremonial software is its ”prescriptiveness” or (human) opinion embedded in the product. these systems may actually work very well when paired with agents instead of humans. maybe markets are underestimating this.
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Elin Lütz
Elin Lütz@utzle·
jag, en helt vanlig stockholmare som har fått akut kontinentaleuropeisk psykos orsakad av exakt en (1) solstråle
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Andrej Karpathy
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.
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Elin Lütz
Elin Lütz@utzle·
hem-PC-reformen fast denna gång subventionerar vi små söta mac minis förinstallerade med openclaw och mistral 24B
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martin_casado
martin_casado@martin_casado·
Nature is healing. Tech is back to defending open source.
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Elin Lütz
Elin Lütz@utzle·
@StripSlashes no if they talk about her/meta it's because she let this "dangerous tech" loose while working with alignment/safety. openclaw not being safe is implied
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StripSlashes
StripSlashes@StripSlashes·
@utzle @CyrusYari If you read the replies, nobody is talking about OpenClaw and everybody is talking about Meta and her. So I'm not sure what part is pretty smart for you.
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Elin Lütz
Elin Lütz@utzle·
at least 50% of my linkedin is europeans posting AI slop this is brand self-harm please stop
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