LauRRRRRent

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LauRRRRRent

LauRRRRRent

@_LR_

Cloud Plumber

Toulouse, NY, SF Bergabung Ocak 2008
1.3K Mengikuti1.9K Pengikut
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James Gross
James Gross@James_Gross·
The team @Alephic_AI gave 45 AI models the same March Madness bracket and a set of tools. GPT-4o Mini picked teams that weren't in the tournament. One model started googling in French at step 72. Grok 4 named itself "Zero Groks Given." We built three difficulty modes to figure out what scaffolding actually matters. Some fun stuff from @heyitsnoah alephic.com/writing/model-…
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James Gross
James Gross@James_Gross·
New Forward Deployed episode with Chris Papasadero on what Green Berets, Palantir FDEs, and film showrunners have in common when it comes to building agentic systems. We hope @RLanceMartin will be back as co-host soon! forwarddeployed.com/p/forward-depl…
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LauRRRRRent
LauRRRRRent@_LR_·
@PaulADW Looks like a leftover to support multiple language, because I get some spanish, and others get catalan.
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Paul ADW
Paul ADW@PaulADW·
Andorra requires my employees to certify their Catalan. Fair enough - official language, I get it. But when I go to sign official documents on the government's own portal... everything is in Spanish. Love a government that holds its citizens to standards it doesn't apply to itself.
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Paul ADW
Paul ADW@PaulADW·
If we get Revolut here, oh boy. 1% cashback, airline miles, free instant transfers, multi currency, full admin through an actually good app, airport lounge access, no fee for foreign currency payments. The local banks must adapt or they'll loose a lot of customers.
Paul ADW@PaulADW

Andorra has a service problem. We all know it. No competition for decades = no pressure to improve. "Oh well, it's Andorra" became the local answer to everything mediocre. But with nearly 10 million visitors a year, Google reviews are the most powerful tool locals and expats have. One lost star hurts. One gained star rewards the ones actually trying. Use them. Both ways.

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Gendarmerie nationale
Gendarmerie nationale@Gendarmerie·
#CriminalitéOrganisée ❌ Les #gendarmes frappent fort contre l'organisation dite de la "DZ mafia" ! ➡️ 43 individus interpellés ⚖️ ➡️ Saisie de + de 4M€ d'avoirs criminels (12 biens immobiliers, 19 véhicules, numéraire, crypto...) 👏 Bravo à nos camarades
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Paul ADW
Paul ADW@PaulADW·
Can’t put out my Andorra flag for Constitution day because it’s already out every single day of the year 🇦🇩
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Fabien Penso
Fabien Penso@fabienpenso·
Quite unexpectedly, I’ve accepted a role at @MicrosoftAI as Principal Engineer / Tech Lead and will be moving to California in the coming weeks. Excited to reconnect with old friends, and to explore California again with a camera in hand. Yosemite, round two.
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Naval
Naval@naval·
Is Traditional Software Engineering Dead? “Does this mean that traditional software engineering is dead? Absolutely not. Software engineers—even the ones who are not necessarily tuning or training AI models—these are now among the most leveraged people on earth. Sure, the guys who are training and tuning models are even more leveraged because they’re building the tool set that software engineers are using. But software engineers still have two massive advantages on you. First, they think in code, so they actually know what’s going on underneath. And all abstractions are leaky. So when you have a computer programming for you—when you have Claude Code or equivalent programming for you—it’s going to make mistakes. It’s going to have bugs. It’s going to have suboptimal architecture. So it’s not going to be quite right. And someone who understands what’s going on underneath will be able to plug the leaks as they occur. So if you want to build a well-architected application, if you want to be able to even specify a well-architected application, if you want to be able to make it run at high performance, if you want it to do its best, if you want to catch the bugs early, then you’re going to want to have a software engineering background. The traditional software engineer is going to be able to use these tools much better. And there are still many kinds of problems in software engineering that are out of scope for these AI programs today. The easiest way to think about those is problems that are outside of their data distribution. For example, if they need to do a binary sort or reverse a linked list, they’ve seen countless examples of that, so they’re extremely good at it. But when you start getting out of their domain—where you have to write very high-performance code, when you’re running on architectures that are novel or brand new, when you’re actually creating new things or solving new problems, then you still need to get in there and hand code it. At least until either there are so many of those examples that new models can be trained on them, or until these models can sufficiently reason at even higher levels of abstraction and crack it on their own… And remember: there is no demand for average. The average app—nobody wants it, at least as long as it’s not filling some niche that is filled by a superior app. The app that is better will win essentially a hundred percent of the market. Maybe there’s some small percentage that will bleed off to the second-best app because it does some little niche feature better than the main app, or it’s cheaper, or something of the sort. But generally speaking, people only want the best of anything. So the bad news is there’s no point in being number two or number three—like in the famous Glengarry Glen Ross scene where Alec Baldwin says, “First place gets a Cadillac Eldorado, second place gets a set of steak knives, and third place you’re fired.” That’s absolutely true in these winner-take-all markets. That’s the bad news: You have to be the best at something if you want to win. However, the set of things you can be best at is infinite. You can always find some niche that is perfect for you, and you can be the best at that thing. This goes back to an old tweet of mine where I said, “Become the best in the world at what you do. Keep redefining what you do until this is true.” And I think that still applies in this age of AI.”
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LauRRRRRent
LauRRRRRent@_LR_·
Creative destruction in action. As Schumpeter put it, capitalism advances through a “perennial gale of creative destruction,” where new technologies and models constantly replace the old.
Eoghan McCabe@eoghan

x.com/i/article/2028…

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LauRRRRRent
LauRRRRRent@_LR_·
I really hate those subscription based software. @1Password 33% yearly price increase. Give us back the shareware licensing model.
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Sawyer Merritt
Sawyer Merritt@SawyerMerritt·
Nvidia has released a new video of CEO Jensen Huang taking a 2.5 hour ride across San Fransisco in a Mercedes using Nvidia's Alpamayo autonomous driving system. Jensen: "The two of us were just talking and enjoying San Francisco. This is the way transportation should be. 100% comfortable and 100% confident. Completely revolutionary."
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LauRRRRRent
LauRRRRRent@_LR_·
If you're looking for a better OpenClaw, check out moltis.org, made by @fabienpenso, who keeps shipping cool stuff year after year.
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