I Am Devloper
@iamdevloper
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just your friendly neighbourhood printer fixer 💸 promotional content: https://t.co/mz9fc9Cprl ran by @_benhowdle
UK
Joined April 2012
It's that magical time when the client insists that their list of 'minor' changes will only take a couple of hours. Next, they'll suggest that I could code an entire computer language faster than brewing a pot of coffee.
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Apparently, developers are perceived as wizards who code themselves new worlds to take a vacation from the real one. But let me tell you, controlling your dream world is stressfully close to being a full-time janitor of your own mess.
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bitch at?.
bitchat 1.3, now live on appstore. location-based public and private chat over bluetooth or decentralized relays. no signup/emails/phone numbers/servers. all ephemeral. now with geohash chat. fixed most of the bluetooth reliability issues as well, especially with android.
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NEO doesn’t just speed things up. It redefines what it means to be an ML engineer. This might be the Devin/Cursor moment for ML engineers.
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This means true democratization of machine learning talent. Imagine ML projects that take weeks today done in hours. Agents handle the grunt work → humans focus on ideas.
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Did you know GSPs are natural swimmers? They’re born to dive into life’s adventures 🌊🐾.
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Why it matters:.For ML engineers → less grunt work, more research. For startups → Kaggle-level talent without the cost. For the industry → the first time an agent has beaten a world-class lab at real ML engineering.
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Copilots autocomplete code. Devin changed coding. Cursor changed coding. NEO builds ML systems. End-to-end. Prepares data → Engineers features → Trains → Debugs → Submits.
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And here’s why it’s mind boggling:. Microsoft, the trillion-dollar giant, entered with RD-Agent: 22.4%.NEO, built by 6 people with $500k: 34.2%.On OpenAI’s own benchmark. David didn’t just beat Goliath. He embarrassed him.
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OpenAI built MLE-Bench to test if agents can actually do ML engineering end-to-end. It’s based on 75 real Kaggle competitions:.– prepping data.– training models.– debugging pipelines.– submitting results. Think of it as the gym for ML agents.
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ML engineers today spend most of their time:.– Cleaning datasets.– Debugging pipelines.– Running baselines.– Submitting jobs that fail overnight. It’s not glamorous. It’s slow. It kills velocity.
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Now a 6-person team with $500k just built NEO — an agent that builds Machine Learning systems and pipelines. On OpenAI’s own benchmark (MLE-Bench, ICLR ’25):.– Microsoft RD-Agent: 22.4%.– NEO: 34.2%. This feels like the Devin/Cursor moment for Machine Learning engineers.
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RT @mostlysports: Nick Kurtz had a historic night in baseball and that's why he's @BFW's Game Changing Moment of the Week @SportClips https….
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🚨 Breaking: Underdog story of the year. 6 people. $500k in funding. And they just outperformed Microsoft’s AI agent on OpenAI’s own benchmark. Microsoft = 22.4%.NEO = 34.2% . @withneo
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My boss told me to "avoid mistakes" when assigning me a task this morning like my name's Claude or something.
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Apple engineers are like reindeers - I'm certain they do exist, but I've never seen one myself.
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When you've been debugging an elusive piece of code for an hour and then realize the error was in the README instructions, you discover a new level of trust issues.
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Ah, the sweet serenade of buzzwords echoing through an open-plan office. If I had a dollar for every 'synergy' or 'paradigm shift' I've overheard, I'd have enough to buy myself an island. Far away from said open-plan office.
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me delivering standup updates when it's Claude writing all my code
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For decades, politicians sold out American workers to foreign markets. The tide is finally turning. Join us to help rebuild America’s economy from the ground up.
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my therapist said this to me, and it hit me like a brick “go ahead and buy that new domain before finishing your last side project".
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Just slightly less than my node_modules folder then?.
Every hour the Universe expands by a billion miles in all directions.
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