JavaFXpert

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JavaFXpert

JavaFXpert

@JavaFXpert

James Weaver - IBM Quantum Developer Advocate, author and speaker. Views are from my superpositional cats.

In a complex vector space Joined Ekim 2008
3.3K Following16.9K Followers
JavaFXpert
JavaFXpert@JavaFXpert·
@RickRossTN @_LuoFuli Was reading this update with sleepy eyes and then noticed Rick Ross in my timeline and that you're a fan, so we'll give it a closer look. Hope you've been well, Rick.
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Rick Ross
Rick Ross@RickRossTN·
@_LuoFuli MiMo-V2-Omni is good enough to release now - we want it and we need it. Just continue to refiine, and release an iterative update not too long after!
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Fuli Luo
Fuli Luo@_LuoFuli·
MiMo-V2-Pro & Omni & TTS is out. Our first full-stack model family built truly for the Agent era. I call this a quiet ambush — not because we planned it, but because the shift from Chat to Agent paradigm happened so fast, even we barely believed it. Somewhere in between was a process that was thrilling, painful, and fascinating all at once. The 1T base model started training months ago. The original goal was long-context reasoning efficiency. Hybrid Attention carries real innovation, without overreaching — and it turns out to be exactly the right foundation for the Agent era. 1M context window. MTP inference for ultra-low latency and cost. These architectural decisions weren't trendy. They were a structural advantage we built before we needed it. What changed everything was experiencing a complex agentic scaffold — what I'd call orchestrated Context — for the first time. I was shocked on day one. I tried to convince the team to use it. That didn't work. So I gave a hard mandate: anyone on MiMo Team with fewer than 100 conversations tomorrow can quit. It worked. Once the team's imagination was ignited by what agentic systems could do, that imagination converted directly into research velocity. People ask why we move so fast. I saw it firsthand building DeepSeek R1. My honest summary: — Backbone and Infra research has long cycles. You need strategic conviction a year before it pays off. — Posttrain agility is a different muscle: product intuition driving evaluation, iteration cycles compressed, paradigm shifts caught early. — And the constant: curiosity, sharp technical instinct, decisive execution, full commitment — and something that's easy to underestimate: a genuine love for the world you're building for. We will open-source — when the models are stable enough to deserve it. From Beijing, very late, not quite awake.
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JavaFXpert
JavaFXpert@JavaFXpert·
@PCollinsTribute We saw this concert Saturday evening, and I’m still thinking about how great the band gelled and about the caliber of talent that was on the stage. I’ve been experiencing Phil Collins earworms since.
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JavaFXpert retweeted
Jennifer Reif
Jennifer Reif@JMHReif·
Join me next week to talk about what’s going on in the AI space and help you get started building agentic systems!
Devnexus@devnexus

🤖 The next wave of AI is here, and it’s all about agents, tools, and MCP! At #Devnexus, @JMHReif from @neo4j shows how these emerging concepts are redefining how devs build and connect intelligent systems. devnexus.com/events/agents-… 🎟️ Get tickets at devnexus.com ✉️ Stay up to date: atlj.ug/Xconnect #AI #MCP #ArtificialIntelligence #AtlantaTech #AIAgents #GenAI #Developer

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JavaFXpert
JavaFXpert@JavaFXpert·
@maria__violaris I like to walk-on to music that put me in a good state of mind to present, whether it's relevant to the talk or not. Current favorites for that are "Can't find my way home", and "Voodoo Child", although occasionally "Comfortably Numb" :-)
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Dr Maria Violaris
Dr Maria Violaris@maria__violaris·
I've now been asked twice if I have any preferred intro music when going on-stage for a quantum talk but I can't think of anything... any suggestions?! Ideally a well-known pop song with lyrics that can be re-interpreted as having a link with some aspect of quantum!
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Andrej Karpathy
Andrej Karpathy@karpathy·
Bought a new Mac mini to properly tinker with claws over the weekend. The apple store person told me they are selling like hotcakes and everyone is confused :) I'm definitely a bit sus'd to run OpenClaw specifically - giving my private data/keys to 400K lines of vibe coded monster that is being actively attacked at scale is not very appealing at all. Already seeing reports of exposed instances, RCE vulnerabilities, supply chain poisoning, malicious or compromised skills in the registry, it feels like a complete wild west and a security nightmare. But I do love the concept and I think that just like LLM agents were a new layer on top of LLMs, Claws are now a new layer on top of LLM agents, taking the orchestration, scheduling, context, tool calls and a kind of persistence to a next level. Looking around, and given that the high level idea is clear, there are a lot of smaller Claws starting to pop out. For example, on a quick skim NanoClaw looks really interesting in that the core engine is ~4000 lines of code (fits into both my head and that of AI agents, so it feels manageable, auditable, flexible, etc.) and runs everything in containers by default. I also love their approach to configurability - it's not done via config files it's done via skills! For example, /add-telegram instructs your AI agent how to modify the actual code to integrate Telegram. I haven't come across this yet and it slightly blew my mind earlier today as a new, AI-enabled approach to preventing config mess and if-then-else monsters. Basically - the implied new meta is to write the most maximally forkable repo and then have skills that fork it into any desired more exotic configuration. Very cool. Anyway there are many others - e.g. nanobot, zeroclaw, ironclaw, picoclaw (lol @ prefixes). There are also cloud-hosted alternatives but tbh I don't love these because it feels much harder to tinker with. In particular, local setup allows easy connection to home automation gadgets on the local network. And I don't know, there is something aesthetically pleasing about there being a physical device 'possessed' by a little ghost of a personal digital house elf. Not 100% sure what my setup ends up looking like just yet but Claws are an awesome, exciting new layer of the AI stack.
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Bruno Borges
Bruno Borges@brunoborges·
RIP Internet --- 2026-01-30
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JavaFXpert
JavaFXpert@JavaFXpert·
@Scobleizer @JeebsTX I very rarely intervene with FSD, until I get home and it always chooses the rightmost garage stall, but the charger is in the left stall. Would love to train it to pull into the correct stall.
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Robert Scoble
Robert Scoble@Scobleizer·
I'm getting there with Robotaxi because it doesn't need to park or figure out how to get into my house and garage. However, I am still a few months away from really trusting it, and I think it needs a couple more updates. On most drives and most miles, I'm not paying attention to the road anymore, so I'm getting there quickly. I've now had 17 Robotaxi rides where the driver never needed to touch the car, but I want to see more data. Specifically, I want to see: 1. Them actually turn on Robotaxi at some scale without humans in the car 2. That process handled effectively 3. A human who could take over the remote operation (at some level) to get the car out of jams I'm not quite there yet. I think we are still about a year or two from actually sitting in the passenger seat while the car drives around, but we're getting there.
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JeebsTX 🇺🇸
JeebsTX 🇺🇸@JeebsTX·
I’ve been meaning to ask this to every Tesla owner! Be honest… How comfortable are you sitting in the backseat of your own Tesla while Unsupervised FSD is engaged? Tesla Robotaxi? Sure, it’s a $4 ride in Austin for now! But your own personal car… with a ~$50,000 loan still attached? All the best $TSLA ER AMC
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JavaFXpert retweeted
Mike Netter
Mike Netter@nettermike·
A father passing by his son's bedroom noticed the room unusually clean and saw an envelope propped up prominently on the pillow. It was addressed, "Dad"... With the worst premonition, he opened the envelope and read the letter, with trembling hands. "Dear, Dad. It is with great regret and sorrow that I'm writing you. I had to elope with my new girlfriend, because I wanted to avoid a scene with Mum and you. I've been finding real passion with Stacy. She is so nice, but I knew you would not approve of her because of all her piercing's, tattoos, her tight motorcycle clothes, and because she is so much older than I am. But it's not only the passion, Dad. She's pregnant. Stacy said that we will be very happy. She owns a trailer in the woods, and has a stack of firewood for the whole winter. We share a dream of having many more children. Stacy has opened my eyes to the fact that these things don't really hurt anyone. Don't worry Dad, I'm 16, and I know how to take care of myself. Someday, I'm sure we'll be back to visit so you can get to know your many grandchildren. Love, your son, Josh P.S . Dad, none of the above is true. I'm over at Jason's house. I just wanted to remind you that there are worse things in life than the school report card that's on the kitchen table. Call when it is safe for me to come home.
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JavaFXpert
JavaFXpert@JavaFXpert·
@wabi build me an app that creates custom artifacts on the fly that read and write to an internal JSON knowledge graph
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Andrew D. Huberman, Ph.D.
Andrew D. Huberman, Ph.D.@hubermanlab·
There are a lot of studies and examples of different ways to train with weights for muscle growth and strength. Which is best? Everyone has different opinions on that but what has always worked best for me has been low volume high intensity training. (And when I say “best”, I mean getting the results of directed muscle growth and strength improvements and not having my nervous system feel so fried that I can’t do other things in life after training… after all, we have lives to live!) It involves training each muscle group directly once per week. Yes only once. You do one light and one moderate set just to get the mechanics and blood flow going, then 1 (maybe 2) all sets to failure * in excellent form * which means controlling the weight all the way up, contracting it hard and lowering it slowly. Depending on the muscle group, you do anywhere from 2 to 4 exercise exercises per muscle group total. 6 time Mr. Olympia Dorian Yates is my guest on the Huberman Lab podcast out now and we discussed this style of training and the types of training that work best for the everyday person. That means men & women of all ages. He gives a wealth of info. Dorian was also kind enough to take me through his version of low volume high intensity training. I got to feel what it is to target the back and rear delt muscles properly with true high intensity. We did: 1) lat pullovers: one light set, one medium set, and then one all outset to failure (w/ a few assisted repetitions). 2) reverse grip cable pull downs (also one set to failure) 3) one arm dumbbell rows (one set to failure for each side) 4) seated wide grip cable rows (one set to failure with a couple of assisted reps) 5) rear delt bent over dumbbell raises (one warm-up and one works set to failure). Comment BACK and I’ll DM you a link to a video of the full workout. - Please put any questions or comments you have below and thank you for your interest in science!
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Andrew D. Huberman, Ph.D.
Andrew D. Huberman, Ph.D.@hubermanlab·
Training back and rear delts properly with low volume high intensity pioneer Dorian Yates. I’ve pasted the full workout below.
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JavaFXpert
JavaFXpert@JavaFXpert·
@mkheck Looking forward to next season!
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Aiden Bai
Aiden Bai@aidenybai·
We built the fastest coding agent for frontend This video is NOT sped up Comment "ami" for 100k free tokens
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PUNS
PUNS@ThePunnyWorld·
I hate Xmas. Work all hours to pay for expensive presents for the kids, and some fat bastard with a beard gets all the credit. Still, it's my fault for marrying her.
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JavaFXpert
JavaFXpert@JavaFXpert·
@jimgris "Nothing is real. And nothing to get hung about."
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Jim Grisanzio
Jim Grisanzio@jimgris·
"Living is easy with eyes closed, Misunderstanding all you see."
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JavaFXpert retweeted
Jay Gambetta
Jay Gambetta@jaygambetta·
Today, @IBM and @Cisco announced plans to build a network of large-scale, fault-tolerant quantum computers — a major step toward distributed quantum computing and the foundation for a future quantum internet. We’re combining IBM’s quantum hardware + software with Cisco’s leadership in networking to tackle the challenge of scaling beyond a single large-scale FTQC. This builds on our commitment to deliver Starling in 2029 and scale to Blue Jay in 2033. News: ibm.com/quantum/blog/n…
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JavaFXpert
JavaFXpert@JavaFXpert·
@Mangan150 What are your suggestions for a fellow 70 y/o for achieving highest quartile?
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Kimi.ai
Kimi.ai@Kimi_Moonshot·
🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns. K2 Thinking is now live on kimi.com in chat mode, with full agentic mode coming soon. It is also accessible via API. 🔌 API is live: platform.moonshot.ai 🔗 Tech blog: moonshotai.github.io/Kimi-K2/thinki… 🔗 Weights & code: huggingface.co/moonshotai
Kimi.ai tweet media
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