Jerry Mannel

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Jerry Mannel

Jerry Mannel

@jerrymannel

An engineer💻, a husband🤕, and a dad (👧👧🐶) rolled into one. 🏁 F1 fan. Team #LH44 🤍🖤

Bangalore, India Katılım Kasım 2007
513 Takip Edilen963 Takipçiler
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Pankaj
Pankaj@the2ndfloorguy·
i was tired of stupid people on road so i hacked my helmet into a traffic police device 🚨 while i ride, ai agent runs in near real time, flags violations, and proof with location & no plate goes straight to police. blr people - so now ride safe… or regret it.
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Danny Thompson
Danny Thompson@DThompsonDev·
WE WROTE A BOOK! I promised you big news today and I'm here to deliver! I'm curious, have you found yourself in this position lately? You're a software developer, you love building things, but you see the AI wave coming. You know you need to adapt, but every resource you find seems to think you want to become a data scientist. It’s a frustrating place to be. You just want to use the best tools to do your job, not switch careers. You want to solve problems and build stuff, not create a proprietary, low-latency natural language processing engine from scratch. After having dozens of conversations with developers feeling this exact way, we understood the pain points and we, Jerry Mannel Reghunadh and Jacob Orshalick, decided to create the resource we couldn't find. We wrote a book that respects your role as a Software Developer, teaches REAL business ready concepts, and gives you a direct path to applying AI concepts to your work so you can make an impact. We were honored to have it published by No Starch Press, a name many of us in tech trust. If you're a software developer who wants to stay on the cutting edge without leaving your craft behind, this was written for you. Learn these concepts so you can get back to doing the thing WE all love, building! #code #coding #programming #softwareengineering
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Tracy Lee | ladyleet
Tracy Lee | ladyleet@ladyleet·
Feeling like this could get really good (or bad): What’s something in tech everyone pretends to care about but no one actually does?
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Andrej Karpathy
Andrej Karpathy@karpathy·
Good post from @balajis on the "verification gap". You could see it as there being two modes in creation. Borrowing GAN terminology: 1) generation and 2) discrimination. e.g. painting - you make a brush stroke (1) and then you look for a while to see if you improved the painting (2). these two stages are interspersed in pretty much all creative work. Second point. Discrimination can be computationally very hard. - images are by far the easiest. e.g. image generator teams can create giant grids of results to decide if one image is better than the other. thank you to the giant GPU in your brain built for processing images very fast. - text is much harder. it is skimmable, but you have to read, it is semantic, discrete and precise so you also have to reason (esp in e.g. code). - audio is maybe even harder still imo, because it force a time axis so it's not even skimmable. you're forced to spend serial compute and can't parallelize it at all. You could say that in coding LLMs have collapsed (1) to ~instant, but have done very little to address (2). A person still has to stare at the results and discriminate if they are good. This is my major criticism of LLM coding in that they casually spit out *way* too much code per query at arbitrary complexity, pretending there is no stage 2. Getting that much code is bad and scary. Instead, the LLM has to actively work with you to break down problems into little incremental steps, each more easily verifiable. It has to anticipate the computational work of (2) and reduce it as much as possible. It has to really care. This leads me to probably the biggest misunderstanding non-coders have about coding. They think that coding is about writing the code (1). It's not. It's about staring at the code (2). Loading it all into your working memory. Pacing back and forth. Thinking through all the edge cases. If you catch me at a random point while I'm "programming", I'm probably just staring at the screen and, if interrupted, really mad because it is so computationally strenuous. If we only get much faster 1, but we don't also reduce 2 (which is most of the time!), then clearly the overall speed of coding won't improve (see Amdahl's law).
Balaji@balajis

AI PROMPTING → AI VERIFYING AI prompting scales, because prompting is just typing. But AI verifying doesn’t scale, because verifying AI output involves much more than just typing. Sometimes you can verify by eye, which is why AI is great for frontend, images, and video. But for anything subtle, you need to read the code or text deeply — and that means knowing the topic well enough to correct the AI. Researchers are well aware of this, which is why there’s so much work on evals and hallucination. However, the concept of verification as the bottleneck for AI users is under-discussed. Yes, you can try formal verification, or critic models where one AI checks another, or other techniques. But to even be aware of the issue as a first class problem is half the battle. For users: AI verifying is as important as AI prompting.

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Jerry Mannel
Jerry Mannel@jerrymannel·
@ladyleet And let's not forget Baby Shark-dududuuu... Shucks, it's stuck in my head now.
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Tracy Lee | ladyleet
Tracy Lee | ladyleet@ladyleet·
Being a parent to a toddler = having Blippi stuck in your head 24/7
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Jerry Mannel
Jerry Mannel@jerrymannel·
It's not over , Why was the polygon late to work? . . . . . . . . Because it took the rhombus! #dadLife #kidJokes
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Jerry Mannel
Jerry Mannel@jerrymannel·
Kiddo's self made joke on a Sunday morning What do you call a music making farmer? . . . . . . . . . A composter! #dadLife
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Jerry Mannel
Jerry Mannel@jerrymannel·
If you are a website developer, AND your website supports both dark and light theme AND your website has lazy loading of content AND you place the option to switch between dark and light theme at the bottom of the page… You are EVIL! #ux #Fail
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Jerry Mannel
Jerry Mannel@jerrymannel·
So basically devoid of any flavor and fun 🤷🏽‍♂️ #proteinbar
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Jerry Mannel
Jerry Mannel@jerrymannel·
@goodreads This one Invisible Women: Exposing Data Bias in a World Designed for Men by Caroline Criado Pérez
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Goodreads
Goodreads@goodreads·
What's a book that changed your perspective?
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Dianna Cowern
Dianna Cowern@thephysicsgirl·
I want to start making videos again. I don’t even know where to start. I’m a lost science puppy
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Jerry Mannel
Jerry Mannel@jerrymannel·
#Insanity is doing the same thing over and over and expecting different results... Till you work with an #LLM.
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Scuderia Ferrari HP
Scuderia Ferrari HP@ScuderiaFerrari·
Yesterday’s grid pics did not disappoint 👌
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Jerry Mannel
Jerry Mannel@jerrymannel·
@sundarpichai MCP. But it's written from a technical engineers perspective. It's going down the route of how SOAP/WSDL definitions were written. We have to simplify it and make it easy to adopt.
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Sundar Pichai
Sundar Pichai@sundarpichai·
To MCP or not to MCP, that's the question. Lmk in comments
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Jerry Mannel
Jerry Mannel@jerrymannel·
Oh no! #Google #Gemini is down. I guess I'll just take a break from being productive. 😂
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