Layth

308 posts

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Layth

Layth

@Fullmoon211

PharmD, MSACI Clinical Product Analyst - Dr.First Clinical NLP Researcher - VUMC

Katılım Ocak 2023
164 Takip Edilen14 Takipçiler
Layth
Layth@Fullmoon211·
@theo @Soroosh_Tajdar Linkedin is an interesting one, are the type of connections different from YouTube Theo?
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Theo - t3.gg
Theo - t3.gg@theo·
I’ve been baited. I’ll explain why your point is bad and you should delete your account. I have 300,000 followers. I talk about my products a lot. Talking about them here doesn’t get me new users. Talking about them on YouTube and LinkedIn does. You have no followers. You also have no users. You have nothing to contribute here. You only serve to waste my time. Hope this helps!
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Layth
Layth@Fullmoon211·
@chribjel Umm how are hours counted here as background or actual active usage ? That's like 10-11 hours in the week NOT on his phone. Aka like sleep.
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Layth
Layth@Fullmoon211·
@kitlangton @skeptrune only best if they are color coded and make sense. Great job here but the ones that AI agents spit out like I would see from code rabbit kinda annoying
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Kit Langton
Kit Langton@kitlangton·
Should 𝚘𝚙𝚎𝚗𝚝𝚞𝚒 support sequence diagrams?
Kit Langton tweet media
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Layth
Layth@Fullmoon211·
@thsottiaux For /side I know it's suppose to be ephemeral but an easy way to give main branch a handoff if I want to would be nice.
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Tibo
Tibo@thsottiaux·
What are we obviously not getting right with Codex?
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Layth
Layth@Fullmoon211·
@gabrielchua Meh both cc and codex still very much needs structure in understanding a data model and 2 interpreting the results need some work. Although got 5.5 does a better job.
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Layth
Layth@Fullmoon211·
@daradoescode @ynkzlk U can use it in the cli just install the skill and then run it there
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Layth
Layth@Fullmoon211·
@saltyAom I see your posts every so often on Elysia but tbh not sure exactly where it's use case is. What should I be comparing Elysia to and how can I use it? Prob could look it up but thought I'd just ask directly. Sorry if it's dumb question
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Layth
Layth@Fullmoon211·
@thsottiaux Nope not swe but am clinical informatican. I also do bioinformatics works. Deal with data models all the time though. And build applications to visually interpret them. Starting to like using img gen2 to visualize data model flow and it works surprisingly well.
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Tibo
Tibo@thsottiaux·
Dear audience, do you code as your professional career?
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Aaron Francis
Aaron Francis@aarondfrancis·
Ok maybe rewriting the terminal 5 times was actually worth it.
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Layth
Layth@Fullmoon211·
@thsottiaux Us terminal users could benefit from rendering tables like cc. Also improvement in writing. Codex seems to be overly pedantic at times.
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Tibo
Tibo@thsottiaux·
Hello builders. What are we getting wrong with Codex, what can we improve?
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Tibo@thsottiaux·
Hi! To celebrate its 1-year anniversary, I have allowed Codex to reset its own rate limits across all plans. Enjoy all the new features.
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Layth
Layth@Fullmoon211·
@theo I like both. Terminal is so easy to spin up and get started on something, I have my shortcuts. GUI is for persistence between projects I love that to.
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Layth
Layth@Fullmoon211·
Ease is the shape effort takes when it knows how to disappear
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Demis Hassabis
Demis Hassabis@demishassabis·
@Steve_Yegge Maybe tell your buddy to do some actual work and to stop spreading absolute nonsense. This post is completely false and just pure clickbait.
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Steve Yegge
Steve Yegge@Steve_Yegge·
I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year. The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% still using Cursor or equivalent chat tool. It turns out Google has this curve too. But why is Google so... average? How is it that a handful of companies are taking off like a spaceship, and the rest, including Google, are mired in inaction? My buddy's observation was key here: There has been an industry-wide hiring freeze for 18+ months, during which time nobody has been moving jobs. So there are no clued-in people coming in from the outside to tell Google how far behind they are, how utterly mediocre they have become as an eng org. He says the problem is that they can't use Claude Code because it's the enemy, and Gemini has never been good enough to capture people's workflows like Claude has, so basically agentic coding just never really took off inside Google. They're all just plodding along, completely oblivious to what's happening out there right now. Not only is Google not able to do anything about it, they don't seem to be aware of the problem at all. I'm having major flashbacks to fifty years ago as a kid at the La Brea Tar Pits, asking, "why can't they just climb out?" My Google friend and I had this conversation over a month ago. I didn't share it because I wanted to look around a bit, and see if it's really as bad as all that. I've been talking to people from dozens of companies since then. And yeah. It's as bad as all that. Google is about average. Some companies at the bottom have near-zero AI adoption and can't even get budget for AI. They may have moats and high walls, but the horde is coming for them all the same. And then there are a few companies I've met recently who are *amazingly* leaned in to AI adoption. One category-leader company just cancelled IntelliJ for a thousand engineers. That's an incredibly bold move, one of many they're making towards agentic adoption. In my opinion, that company is setting themselves up for a _huge_ W. As for the rest, well, it's the Great Siloing. Everyone's flying blind. With nobody moving companies, no company knows where they stand on the AI adoption curve. Nobody knows how they're doing compared to everyone else. Half of them just check a box: "We enabled {Copilot/Cursor} for everyone!" Cue smug celebrations. They think this is like getting SOC2 compliance, just a thing they turn on and now it's "solved." And they don't realize that they've done effectively nothing at all. All because of a hiring freeze.
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Layth
Layth@Fullmoon211·
@thsottiaux we name 5.5: 5 point 5 fkin k. For the memes
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Tibo@thsottiaux·
Imagine the alternate reality where we named GPT-5.4-Pro something like Fable.
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Layth
Layth@Fullmoon211·
@theo I don't like mobile because it's usually just the chat and nothing else making it kinda useless for me. I don't want to just send a command
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Theo - t3.gg
Theo - t3.gg@theo·
I want to control my agents from my phone. I'm sure you do too. What workflows do you want? Do you have one that works now? Tell me all about it.
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Nicolas Boizard @ ICLR
Nicolas Boizard @ ICLR@N1colAIs·
🚀 New model family release with an OMNIMODAL version ! After Eurobert, I'm excited to introduce BidirLM, a family of 5 frontier bidirectional encoders including an OMNIMODAL encoder at just 2.5B parameters. 🧵👇 huggingface.co/BidirLM
Nicolas Boizard @ ICLR tweet media
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Layth
Layth@Fullmoon211·
@giffmana AI psychosis. This regurgitatation of you doing the right thing your on the right path, this is brilliant! The sycophancy. Ahhh what times we live in today.
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Lucas Beyer (bl16)
Lucas Beyer (bl16)@giffmana·
Armed with Claude Code, a crypto bro and an actress top all benchmarks, getting a perfect 100% on most. They did something that evaded all experts working on memory: get inspired by Ancient Greeks! Feeling the eternal September; the normies have fully arrived.
Lucas Beyer (bl16) tweet media
Ben Sigman@bensig

My friend Milla Jovovich and I spent months creating an AI memory system with Claude. It just posted a perfect score on the standard benchmark - beating every product in the space, free or paid. It's called MemPalace, and it works nothing like anything else out there. Instead of sending your data to a background agent in the cloud, it mines your conversations locally and organizes them into a palace - a structured architecture with wings, halls, and rooms that mirrors how human memory actually works. Here is what that gets you: → Your AI knows who you are before you type a single word - family, projects, preferences, loaded in ~120 tokens → Palace architecture organizes memories by domain and type - not a flat list of facts, a navigable structure → Semantic search across months of conversations finds the answer in position 1 or 2 → AAAK compression fits your entire life context into 120 tokens - 30x lossless compression any LLM reads natively → Contradiction detection catches wrong names, wrong pronouns, wrong ages before you ever see them The benchmarks: 100% recall on LongMemEval — first perfect score ever recorded. 500/500 questions. Every question type at 100%. 92.9% on ConvoMem — more than 2x Mem0's score. 100% on LoCoMo — every multi-hop reasoning category, including temporal inference which stumps most systems. No API key. No cloud. No subscription. One dependency. Runs on your machine. Your memories never leave. MIT License. 100% Open Source. github.com/milla-jovovich…

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Layth
Layth@Fullmoon211·
@thsottiaux What days of the weeks and times are usually drop offs? More usage during off peaks is awesome. Incentive to do things at different times in return getting more usage.
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Tibo
Tibo@thsottiaux·
With Codex the there is quite the gulf in load between peak and off-peak times, and we would like to achieve more of a smoother traffic pattern as that would be a more optimal use of our compute. We have ideas, but curious what you all think we should do? Would more usage during off-peak and surge multiplier during peak times make sense?
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