Gerald Morrison

1.9K posts

Gerald Morrison

Gerald Morrison

@GeraldMorrison

Engineer | Data Science | Quantitative Finance | https://t.co/S8XZ7tEyhg

Utah, USA Beigetreten Ekim 2009
1.2K Folgt1.2K Follower
Gerald Morrison
Gerald Morrison@GeraldMorrison·
@0xSero The book cover on Amazon’s website is different so it’s a bit confusing. Maybe a newer edition? If it’s the same book, I will buy a copy. Thanks for highlighting.
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0xSero
0xSero@0xSero·
3 books already gifted Why Machines Learn This will take you from noon to understanding the stack in a month. If you missed my giveaway one of the winners decided to pay it forward <3 If you love what I do you’ll love this book
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Gerald Morrison
Gerald Morrison@GeraldMorrison·
@0xSero My job took me away from time to time. Coming home to the family created a sense of joy that can be had no other way except that it be preceded by absence. Keep up the good work “dad”! 🙂
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0xSero
0xSero@0xSero·
I love traveling I love going new places. Since my son hit 2 years old, I have hated traveling alone. I miss him so much. I feel ridiculous getting so sad over a week away from my kid );
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Julia La Roche
Julia La Roche@JuliaLaRoche·
The feedback on the @TruthGundlach episode has been incredible, so I'm posting the pod here on X too. 🙏 In his debut on The Julia La Roche Show, Jeffrey Gundlach, founder and CEO of DoubleLine Capital, breaks down why private credit is an unmitigated disaster, why the next recession will send rates up and the dollar down, and why most American investors are completely unprepared for what's coming. Timestamps: 0:00 Introduction & welcome Jeffrey Gundlach 1:33 Big picture macro: secular shift from falling to rising interest rates 16:00 The case for 100% non-US stocks 17:30 Gundlach's current asset allocation 22:00 Private credit and why it's a “total unmitigated disaster" 38:00 The Fed follows the 2-year Treasury - next move a rate hike? 42:30 Recession odds 47:00 Capital preservation mode: lowest risk positioning in DoubleLine's 17-year history 50:00 The gold call 53:00 The most dangerous force in investing 56:00 California headed for bankruptcy? 1:01:00 Non-consensus prediction: three parties on the ballot in the next presidential election 1:02:00 The Fourth Turning
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Gerald Morrison
Gerald Morrison@GeraldMorrison·
@0xSero Got it. Thanks for setting up the Discord BTW. I’m looking forward to what you produce. 👍
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0xSero
0xSero@0xSero·
@GeraldMorrison Different underlying engines and target audience. Lmstudio is llama.cpp and mlx only from my understanding. I am connecting to vLLM, sglang, exllamav3 I also want to have it be an agent launcher, I built this for myself and didn’t want to open source it but it saved me time
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0xSero
0xSero@0xSero·
I am going all in on vllm-studio, in the past my take was that if Claude can do it out then people should figure it out. I've also just been doing whatever comes to mind, but I am going to trim out most of the code and focus on a desktop electron app. Good UX coming soon
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Gerald Morrison
Gerald Morrison@GeraldMorrison·
We are quickly moving to the era of agentic AI. This will change the targeting protocol as the AI (one agent) makes the decision based on input from sub agents that each have a different validation task. This will make targeting decisions of higher quality without too much additional latency. That’s an improvement but it takes humans even further out decision making loop. With the required targeting speed, no human will ever be in the loop and it will be left to the quality of the agents analysis. Which means the quality of the input data. It also means that no one is to blame for mistakes because everything has been handed off to a complex system. And this can’t be stopped - it is an inevitable progression of technology used for military purposes. The school bombing is an unforgivable tragedy because higher quality data was available- it wasn’t used. In the future, a sub agent tasked with the responsibility to validate the correctness with the most recent information could have prevented it. I am not defending the use of AI for targeting decisions. That’s going to happen. But I am blaming those in the data extraction pipeline and those responsible for the guardrails in the AI decision-making loop. More powerful AI is coming quickly. The tools are there. We need to do better.
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Radigan Carter
Radigan Carter@radigancarter·
There is something deeply unhuman and evil about this system being built this way on purpose. Where compliance, not competency, is the end goal. Where by design no one is responsible and everyone has plausible deniability. Felt sick to my stomach reading that article. "when the US military and American manufacturers automated their factory floors, they consistently chose systems that were slower and more expensive but which moved decision-making away from workers and into management. The point was not efficiency – it was frequently extremely wasteful – but control. A worker who understands what they are doing can exercise judgment the institution cannot govern. Move that understanding into the system, and the worker has nothing left to do but follow instructions."
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Demetri Kofinas
Demetri Kofinas@kofinas·
“Someone decided that deliberation was latency. Someone decided to build a system that produces 1,000 targeting decisions an hour and call them high-quality. Someone decided to start this war. Several hundred people are sitting on Capitol Hill, refusing to stop it. Calling it an “AI problem” gives those decisions, and those people, a place to hide.”
Van Jackson@RealVanJackson

This piece on Palantir death-tech and the kill chain is breathtakingly good theguardian.com/news/2026/mar/…

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John Arnold
John Arnold@johnarnold·
I think I finally solved the stock market.
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Gerald Morrison
Gerald Morrison@GeraldMorrison·
Awesome read - as usual. One thing I am thinking about with AI is that the top 10% of high income earners are white collar. They pay 50% of the tax. So when AI replaces them, the government gets slammed on tax receipts. Can the Fed cut when they need to entice the purchasing more and more T-bills?
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Gerald Morrison
Gerald Morrison@GeraldMorrison·
The cost of memory alone is brutally expensive, as are the gpu cards. It’s hard to see a $1K machine running anything meaningful. What am I missing? I have 36 GB unified on a Mac and I am limited in the models I can use. I am always looking for ways to do more so I am very interested in this statement.
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MAGIC CAT
MAGIC CAT@MagicCatCrypto·
@GeraldMorrison @cgtwts Yeah I buy Mac minis and put them in my closet and don't use them because I'm already paying 300 per month in ai subs....
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Gerald Morrison
Gerald Morrison@GeraldMorrison·
@TheAhmadOsman Running a M4 Max, 36GB 512TB. Qwen 30B Instruct. LM Studio. Consistently getting 98-100 token/s when asking it to write a 200-300 word essay.
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Ahmad
Ahmad@TheAhmadOsman·
this is why i tweet about this another victim for the Mac Studio hype setting people’s expectations while not actually knowing what you’re talking about and convincing them to spend their hard-earned money because of it is straight up EVIL
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Perplexity
Perplexity@perplexity_ai·
Starting today, users can join the initial waitlist for the Personal Computer program. We will provide support and resources for the initial cohort. perplexity.ai/personal-compu…
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Perplexity
Perplexity@perplexity_ai·
Announcing Personal Computer. Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7. It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.
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Ole Lehmann
Ole Lehmann@itsolelehmann·
i made a 3-day Claude Cowork for Beginners course, and it's yours for free by the end, you'll have a personalized AI teammate on your computer that: • knows your style • connects to your tools • and produces finished work you can send immediately here's what you get: day 1: install cowork, set global instructions, and run your first real task (15 min) day 2: workflows that replaced hours of my week, including building landing pages from a description and running full competitive analyses in one prompt day 3: skills, plugins, and connectors so cowork actually knows how you work and can access your tools + copy-paste prompts so you can follow along as you read like + comment "COWORK" and i'll DM it to you
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Robert Scoble
Robert Scoble@Scobleizer·
Just added on an afternoon update to this @OpenAI GPT-5.4 report (new stuff at bottom). If you like these reports (all done by reading the entire AI community here on X) please let me know. If you hate them, let me know that too. :-)
Robert Scoble@Scobleizer

Huge Report on @OpenAI's new launch. It happened minutes ago. My news system wrote this report by reading all 50,000 of you here on X. This is a super power that Levangie Labs has given me. Thanks @blevlabs. docs.google.com/document/d/19l… Shows everyone on X who has posted something about @OpenAI's GPT-5.4. No one else can do this. No one else has a cognitive architecture. No one else has every single person in AI and every company in lists. Your OpenClaw can't do this.

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Gerald Morrison
Gerald Morrison@GeraldMorrison·
I was holding off buying a Mac Mini but I pulled the trigger on a 24GB RAM, M4 Model to experiment. These models will be interesting. If I like where this is going, I'll sell the Mini and upgrade to a lower-end Studio (maybe). Thanks for highlighting these new light-weight models!
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Alex Finn
Alex Finn@AlexFinn·
Do you understand what this means? Are you aware how much the world just changed? You can now run frontier intelligence on a potato Your $600 Mac Mini can now run unlimited super intelligence for free. No authoritarian AI companies can cut you off Do this immediately, no matter what device you’re on: 1. Download LMstudio 2. Find these models in the search 3. Look for the MLX ones if you’re on Mac 4. Download and load them 5. Ask your OpenClaw to use them for most tasks I thought the future was a year away. Nah. It’s today
Qwen@Alibaba_Qwen

🚀 Introducing the Qwen 3.5 Small Model Series Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B ✨ More intelligence, less compute. These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL: • 0.8B / 2B → tiny, fast, great for edge device • 4B → a surprisingly strong multimodal base for lightweight agents • 9B → compact, but already closing the gap with much larger models And yes — we’re also releasing the Base models as well. We hope this better supports research, experimentation, and real-world industrial innovation. Hugging Face: huggingface.co/collections/Qw… ModelScope: modelscope.cn/collections/Qw…

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Gerald Morrison
Gerald Morrison@GeraldMorrison·
@Scobleizer This was a very helpful curation. A great use of AI. But will this tool be priced for the common man?
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