Eric Chen

48 posts

Eric Chen

Eric Chen

@XfEric1942

Katılım Temmuz 2024
51 Takip Edilen3 Takipçiler
Eric Chen
Eric Chen@XfEric1942·
@NASA woo, what a beautiful picture
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NASA
NASA@NASA·
Hello, Moon. It’s great to be back. Here’s a taste of what the Artemis II astronauts photographed during their flight around the Moon. Check out more photos from the mission: nasa.gov/artemis-ii-mul…
NASA tweet mediaNASA tweet mediaNASA tweet mediaNASA tweet media
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Google Research
Google Research@GoogleResearch·
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
GIF
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Paul Mit
Paul Mit@pmitu·
Can you sell me your product in just 3 words?
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Eric Chen
Eric Chen@XfEric1942·
@delveroin good question, so why you still spending time on the people hiring? Must be some reason there right? The fact is, You need people, and I can easily pinpoint that, that proves the ability of dealing with people and insight beyond pure technical knowledge
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(Oma)devuae
(Oma)devuae@delveroin·
You’re in a tech interview and they ask you: “Why should we hire you when we can use Claude?” What would you say?
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Eric Chen
Eric Chen@XfEric1942·
@boxmining @openclaw There are more than dozen of xxclaw delivered already, each of them said “better than openclaw” 😂
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Boxmining
Boxmining@boxmining·
Be honest If @openclaw vanished right now, could you still build your entire project from the ground up? No ChatGPT. No Cursor. Just you and a completely blank file. Could you?
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Eric Chen
Eric Chen@XfEric1942·
@KommawarSwapnil 1000 people in company A lose current job, but another 100 guys got new job from some company B with AI, and stack holders of both companies earn more money than before, so, how they use money to drive market is the key question
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Swapnil Kommawar
Swapnil Kommawar@KommawarSwapnil·
Everyone says AI will replace jobs. But I have one simple question: If people lose their jobs and income because of AI, then who will buy the products companies are making? If nobody has money to spend, how will companies earn profits? And if companies don’t earn profits, how will the economy survive? Isn’t this the biggest question nobody is answering?
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Eric Chen
Eric Chen@XfEric1942·
@karpathy @shikhr_ A expert level architect can also be a great “prompter “ on building high performance system, since his deep understanding of architecture and design
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Andrej Karpathy
Andrej Karpathy@karpathy·
@shikhr_ "prompters" is doing it a disservice and is imo a misunderstanding. I mean sure vibe coders are now able to get somewhere, but at the top tiers, deep technical expertise may be *even more* of a multiplier than before because of the added leverage. x.com/karpathy/statu…
Andrej Karpathy@karpathy

A lot of people quote tweeted this as 1 year anniversary of vibe coding. Some retrospective - I've had a Twitter account for 17 years now (omg) and I still can't predict my tweet engagement basically at all. This was a shower of thoughts throwaway tweet that I just fired off without thinking but somehow it minted a fitting name at the right moment for something that a lot of people were feeling at the same time, so here we are: vibe coding is now mentioned on my Wikipedia as a major memetic "contribution" and even its article is longer. lol The one thing I'd add is that at the time, LLM capability was low enough that you'd mostly use vibe coding for fun throwaway projects, demos and explorations. It was good fun and it almost worked. Today (1 year later), programming via LLM agents is increasingly becoming a default workflow for professionals, except with more oversight and scrutiny. The goal is to claim the leverage from the use of agents but without any compromise on the quality of the software. Many people have tried to come up with a better name for this to differentiate it from vibe coding, personally my current favorite "agentic engineering": - "agentic" because the new default is that you are not writing the code directly 99% of the time, you are orchestrating agents who do and acting as oversight. - "engineering" to emphasize that there is an art & science and expertise to it. It's something you can learn and become better at, with its own depth of a different kind. In 2026, we're likely to see continued improvements on both the model layer and the new agent layer. I feel excited about the product of the two and another year of progress.

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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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Manoj Ahirwar
Manoj Ahirwar@manoj_ahi·
Step 1: Vibe code a SaaS in a weekend Step 2: Make it $20/mo Step 3: Get 200,000 customers Step 4: Sell it for millions Why isn't everyone doing this? 🤔
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Eric Chen
Eric Chen@XfEric1942·
@pcshipp How they did on performance review? :)
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pc
pc@pcshipp·
I’ve hired 5 people for my startup 🤝 Co-founder: OpenClaw 👨‍💻 Coding: Opus 4.6 🐞 Debugging: GPT-5.2 🔬 Research: Grok 4.1 ✍️ Writing: GPT-5 Mini Work anytime, no leave, no drama
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Eric Chen
Eric Chen@XfEric1942·
@ziwenxu_ speed in early stage, quality decides how long you can go
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Ziwen
Ziwen@ziwenxu_·
As a founder, what's more important? 1. Speed 2. Quality
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Sundar Pichai
Sundar Pichai@sundarpichai·
New breakthrough quantum algorithm published in @Nature today: Our Willow chip has achieved the first-ever verifiable quantum advantage. Willow ran the algorithm - which we’ve named Quantum Echoes - 13,000x faster than the best classical algorithm on one of the world's fastest supercomputers. This new algorithm can explain interactions between atoms in a molecule using nuclear magnetic resonance, paving a path towards potential future uses in drug discovery and materials science. And the result is verifiable, meaning its outcome can be repeated by other quantum computers or confirmed by experiments. This breakthrough is a significant step toward the first real-world application of quantum computing, and we're excited to see where it leads.
Sundar Pichai tweet media
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Michelle Maxwell ™
Michelle Maxwell ™@MichelleMaxwell·
This is Charlie. He was a good man. He wasn’t a racist. The Left needs to stop lying about him!
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Piers Morgan
Piers Morgan@piersmorgan·
Charlie Kirk’s assassin Tyler Robinson, 22, killed him because he hated his opinions and thought he was a fascist. Yet ironically, HE was the fascist, killing someone to silence their opposing views. The woke left love to say ‘speech is violent.’ It’s not - violence is.
Piers Morgan tweet media
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Vaibhav Raina
Vaibhav Raina@vaibhavraina04·
Which is more important ? -Building -Marketing
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Eric Chen
Eric Chen@XfEric1942·
@robin_faraj @JoschuaBuilds from the bright side, he’s really take the cause seriously! But you two should figure out some proven methods to drive the progress, address issues early, instead of helplessly angry
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Robin Faraj
Robin Faraj@robin_faraj·
my co-founder tried to knock me out just because I took a bit longer on a feature is this was team building looks like?
Robin Faraj tweet media
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Robin Faraj
Robin Faraj@robin_faraj·
Should I be worried when there are already a lot of great competitors in my space?
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Shweta Shrimali
Shweta Shrimali@zenmodepreneur·
If success had a recipe, what are the 3 key ingredients you'd add? I will add: - Consistency - Good Communication - Good Network
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wildiris
wildiris@wildiris19·
@Observer_ofyou Fortran on a mainframe. Then as a lark APL. Embedded systems programming with Intel4004 machine code. After that, assembly, Forth, C, and the rest is history. HDL programming, first with CUPL, then moved to Verilog.
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Observer 観察者
Observer 観察者@Observer_ofyou·
What was your first programming language. ?
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