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@_vai0

Hack the planet 🔥 Platform engineer Electronics, old computers, games

United States Katılım Eylül 2018
326 Takip Edilen87 Takipçiler
ziqq
ziqq@_vai0·
@mohitjaryal04 Tiring but fantastic as always. Good vibes only.
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Mohit Jaryal
Mohit Jaryal@mohitjaryal04·
How was your day guys?
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Dev Ameer
Dev Ameer@realameerdev·
What's one programming language that's forever the easiest to learn?
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adi
adi@jerkeyray·
ended up on hardware twt and i'm seeing so many interesting people work today. hardware is fun but also gatekept behind a big damn paywall as soon as you want to do anything remotely interesting, even more so than ai stuff. i bet more people would be into this than cs if it were a lil more accessible.
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Lee Robinson
Lee Robinson@leerob·
You might believe you should spend less time thinking about code because of AI. I strongly disagree! We’re watching this play out live where tons of AI generated code becomes a liability. At the end of the day, an engineer needs to be responsible / on call for code that gets shipped to production. If you don’t understand the system you’re trying to debug, you’re probably going to have a bad time. Yes, AI can help with all of this, if you set up the proper systems. You can have agents triage prod logs, look at errors, etc. You can speed up parts of the investigation, but an engineer needs to make the call. There might be serious customer or financial implications from that change. I expect the trend continue for trimming dependencies, vendoring code so you can modify it directly, preferring simpler systems with fewer abstractions, and spending waaaay more time thinking about system design and code maintenance. I’ve said this before, but it’s a great time to get familiar with CS fundamentals and some of the history behind what great software looks like. Many parts will be different in the coming years as AI progresses, but also a lot more than people realize will stay the same.
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ziqq
ziqq@_vai0·
@Saint_n0mad These prints require at least a nozzle that can operate at 300°C. That doesn't change the fact that it's nice to have a 3D printer. :)
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Saint Nomad
Saint Nomad@Saint_n0mad·
perks of having a 3d printer
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adi
adi@jerkeyray·
spent like an hour making damn traffic lights blink but it's a start, having fun ngl.
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ziqq@_vai0·
@raulizahi I buy only tech. Oil is to risky.
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ziqq
ziqq@_vai0·
I want to connect with the people who are into Platform Engineering AI automation Startup Building with AI tools Electronics DevOps
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ziqq
ziqq@_vai0·
I like ThinkPads but I prefer the MBP for its battery life and the performance it delivers without being plugged in. Additionally, the 16" MBP has enough workspace that you don't need an external monitor. The keyboard is also better in my opinion. Build quality feels good. The new Air models have a great price-to-performance ratio.
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Badal kumar
Badal kumar@BadalK99277·
Honestly, what is the reason behind Thinkpad's popularity among engineer's?
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ziqq
ziqq@_vai0·
@IroSimp68142 @EmmanuelMakes I absolutely agree. I'm checking it because of the fast shipping and sometimes I can get a good deal when buying a batch of parts.
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=@IroSimp68142·
@EmmanuelMakes @_vai0 The good think about amazon is the shipping is ultra fast. It is faster than Jumia, Konga or any local online shop. But the shipping fees and foreign currency pricing is one thing that will discourage you from using them. It can get more expensive than the product.
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Emmanuel Ekiomado
Emmanuel Ekiomado@EmmanuelMakes·
Crazy how it's way cheaper to buy things cross country, across oceans and seas than inter-state
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ziqq
ziqq@_vai0·
@khushiirl Let's make coding with autocomplete (but better) great again.
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khushi
khushi@khushiirl·
vibe coding is fun until you realize you’re just retrying prompts instead of actually learning how things work. if AI disappeared tomorrow, would you still know how to build it or debug it?
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ziqq
ziqq@_vai0·
@EmmanuelMakes Check if Amazon is available in your country and if it has local storage there for fast and cheap shipping. If not, then China is your cheaper option.
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Emmanuel Ekiomado
Emmanuel Ekiomado@EmmanuelMakes·
@_vai0 I haven't ordered from Amazon before, how is that like ? What country?
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ziqq
ziqq@_vai0·
We're going in circles.
Hedgie@HedgieMarkets

🦔Tech companies that pushed employees to maximize AI usage are now realizing the math does not work. Microsoft, Meta, and Amazon all set internal targets that pressured workers to use AI tokens aggressively to hit productivity scores. The problem is agentic AI burns up to 1,000 times more tokens per task than a standard LLM query because it loops through multiple steps and self-checks. OpenClaw's creator Peter Steinberger said his team spent $1.3 million on OpenAI tokens in a single month. Nvidia CEO Jensen Huang told his engineers they should be consuming AI tokens worth at least half their annual salary every year. The behavior has its own name now, "tokenmaxxing." My Take The cost trajectory works backwards from how the labs sold it. Per-token prices have fallen, but the number of tokens each task consumes has climbed faster, and the all-in spend keeps going up release after release. Agentic AI is the worst offender because the model talks to itself, second-guesses itself, and runs the same logic three times before landing on an answer. Goodhart's Law also shows up clearly here. When AI usage became the performance review metric, employees started using AI to inflate the metric, not because the task needed AI. OpenAI and Anthropic are losing roughly $2 for every $1 of revenue, and the only way the math fixes itself is by raising prices or capping consumption per enterprise contract. Both moves slow the revenue growth the labs need to show on the IPO roadshow. Goldman Sachs and the underwriters know this, which is why SpaceX's S-1 came out before OpenAI's. Whichever AI lab files first gets the cleaner narrative, and whoever files second has to explain why their largest enterprise customers just started rolling back token consumption. The companies pushing tokenmaxxing internally are now the same companies signaling cost pressure externally, and that contradiction is going to show up in earnings the moment these labs start reporting publicly. Hedgie🤗

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ziqq@_vai0·
Be consistent. Stay patient. Progress will come.
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ziqq@_vai0·
@HemantDotDev It was and will always be context engineering
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Hemant
Hemant@HemantDotDev·
Is programming turning into prompt engineering (vibe coding ) ?
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ziqq
ziqq@_vai0·
Let’s make autocomplete coding great again! It’s so much more effective for me than reviewing and debugging hundreds of lines of generated code. Not to mention the stress and frustration.
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