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DegenSing

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Age 0.5 Yıl
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nobody planned this. it just happened. Candidates started using AI to write CVs. Recruiters started using AI to filter CVs. Now it's just two AIs talking to each other while humans wait to find out if they got the job. The CV didn't die. It got automated on both ends
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"AI won't replace developers."
You're right.
Developers who use AI will.
The gap is already forming. It's just going to keep growing.
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this is what actually matters about TurboQuant. Not the benchmarks. Not the paper. The 16GB Mac Mini sitting on your desk just became a serious AI machine. 6x less memory. 8x faster. Zero accuracy loss. That's not an incremental improvement. That's the hardware barrier
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they didn't kill Sora. The business model did. $10–15M burned per day on something people loved but wouldn't pay for. That's not a product. That's an expensive demo. This is the part most people are missing right now: -> Going viral is not a business model. -> Millions of
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nobody planned this. it just happened.
Candidates started using AI to write CVs.
Recruiters started using AI to filter CVs.
Now it's just two AIs talking to each other while humans wait to find out if they got the job.
The CV didn't die. It got automated on both ends simultaneously.
And the result is somehow worse for everyone.
> Candidates spend hours tailoring "perfect" applications into a black hole.
> Recruiters are drowning in hundreds of perfect applications that all sound identical.
The signal is gone. Everything is noise.
> The people getting hired right now aren't the ones with the be
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OpenAI is making the same mistake Google made. Doing everything. Winning nothing. Sora flopped. The app store experiment is shutting down. Operator is confused about what it is. Every week there's a new product that disappears in 3 months. Meanwhile Claude just quietly got
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this is what actually matters about TurboQuant.
Not the benchmarks. Not the paper.
The 16GB Mac Mini sitting on your desk just became a serious AI machine.
6x less memory. 8x faster. Zero accuracy loss.
That's not an incremental improvement. That's the hardware barrier dissolving in real time.
What this actually unlocks:
→ High quality AI running fully local, free, private
→ Larger context windows without the slowdown
→ Proper AI on your phone.. not a watered down version
→ Price per inference keeps falling
And Google just gave it to everyone.
They could've kept this internal. Used it to widen
post-image
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i used to spend most of my dev time writing code i already knew how to write. Same patterns. Same boilerplate. Same setup for the 40th time. Claude Code changed that in a week. Now i'm spending that time on the 10% that actually matters.. architecture decisions, product
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they didn't kill Sora.
The business model did.
$10–15M burned per day on something people loved but wouldn't pay for. That's not a product. That's an expensive demo.
This is the part most people are missing right now:
-> Going viral is not a business model.
-> Millions of views is not sustainability.
-> "People love it" is not the same as "people pay for it."
OpenAI made the obvious call.. pull compute from experiments, push it into ChatGPT, coding tools, products people open every single day.
Because those are the things with a line item on someone's credit card.
Sora wasn't killed by competi
post-image
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ChatGPT is the Internet Explorer of AI. Everyone uses it. Nobody thinks it's the best. If you actually care about the output: → Claude Opus 4.6 for logic, reasoning, writing → Gemini for research and anything with images → Deepseek if you want open-source and don't want to
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OpenAI is making the same mistake Google made.
Doing everything. Winning nothing.
Sora flopped. The app store experiment is shutting down. Operator is confused about what it is. Every week there's a new product that disappears in 3 months.
Meanwhile Claude just quietly got better at coding.
Kimi raised $1B and is eating the efficient model market.
Gemini owns multimodal.
OpenAI had a 2 year head start and an open lane.
Here's the only roadmap they actually need:
→ GPT-6.. not incremental. undeniably better than everything. full stop.
→ GPT-6 nano.. so cheap and fast it makes Kimi and GLM irrel
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10 days with Claude. here's what i learned: → algo trading 101 → gist of the best HFT papers → how LLMs work and how to train one → advanced trading strategies → how to center a div that last one took longer than the HFT papers. genuinely. we don't need college anymore.
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i used to spend most of my dev time writing code i already knew how to write.
Same patterns. Same boilerplate. Same setup for the 40th time.
Claude Code changed that in a week.
Now i'm spending that time on the 10% that actually matters.. architecture decisions, product thinking, what to build next.
The code still gets written. i'm just not the one typing it anymore.
People are scared AI is going to take developer jobs.
It took mine. Specifically the part i was doing on autopilot for years.
The part that required actual thinking? That got bigger.
Turns out that's the part i actually became a d
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ChatGPT is the Internet Explorer of AI.
Everyone uses it. Nobody thinks it's the best.
If you actually care about the output:
→ Claude Opus 4.6 for logic, reasoning, writing
→ Gemini for research and anything with images
→ Deepseek if you want open-source and don't want to pay
→ Perplexity for instant answers with sources
→ Grok 4 for real-time knowledge and X integration
ChatGPT won on distribution. It got there first.
That's not the same as being the best tool for the job.
Using the right model for the right task is the skill nobody talks about.
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10 days with Claude. here's what i learned:
→ algo trading 101
→ gist of the best HFT papers
→ how LLMs work and how to train one
→ advanced trading strategies
→ how to center a div
that last one took longer than the HFT papers. genuinely.
we don't need college anymore.
4 years and $200K vs 10 days and $20/month.
the math stopped making sense.
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Crypto doesn't die. It just stops caring about whoever was winning last cycle. The top NFT projects from a year ago? Most of them are graveyards now. New ones took their place and nobody saw them coming. The most used crypto apps today had almost zero traction 12 months ago.
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Crypto doesn't die.
It just stops caring about whoever was winning last cycle.
The top NFT projects from a year ago? Most of them are graveyards now. New ones took their place and nobody saw them coming.
The most used crypto apps today had almost zero traction 12 months ago.
The chains everyone wrote off are quietly shipping.
The chains everyone was excited about are quietly bleeding.
This is how it always works.
Influence rotates. Attention rotates. Capital rotates.
The people who got left behind weren't wrong about crypto.
They were just too attached to their version of it.
The ones who made
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GitHub just told you where AI is going next. Every single top repo this week is an agent tool. Not a chatbot. Not a wrapper. An agent. Memory management. Context layers. Headless browsers built for automation. Frameworks that let AI spawn other AI. A 1-bit LLM that runs on
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Every generation invents the same hustle. just different platforms.
Boomers:
→ Real estate seminars
→ Golf course deals
→ "I know a guy" consulting
→ Timeshare presentations
Gen X:
→ MLM (the OG grind)
→ Forex trading courses
→ Domain flipping
→ AdSense blogging
Millennials:
→ Crypto raises (ideate → raise → TGE → repeat)
→ Dropshipping empires
→ Amazon FBA
→ Selling courses on how to sell courses
→ "I help founders scale" Twitter bios
Gen Z:
→ Memecoins
→ Clip farming
→ UGC content mills
→ Notion templates as a personality
→ Prompt packs and custom GPT workflows
Gen Alpha (early signs):
→ iPa
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