Abdullah T. Alzariqi
198 posts
@thsottiaux It does feel slow, even with fast mode on. For example opencode desktop app feels faster. I think that is why I am using opencode with chatgpt sub
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@justinsunyt Kanban board makes sense for me as a developer. I guess, what they are doing is developing for the next wave of AI agents that can truly do the work.
The sad part is that we are paying for a feature that is not built for us but for faulty agents at the hope they will be good.
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kanban doesn’t make sense for coding agents
we tried it 6 months ago. every task just ended up in the “needs review” column
Muhammad Zahid@mzahidtech
🚀 This is wild. @cursor_ai just dropped a Linear-style Kanban board where you can literally drag in tasks and Cloud Agents pick them up, work on them, open PRs, and ship results. Built with the new Cursor SDK. Full agent orchestration in one dashboard. Mind officially blown.→ Check the example: github.com/cursor/cookboo… #Cursor #AIagents
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@OfficialLoganK @vaaselene Gemini is Cool. But as long as I cannot have my privacy, I can never use Gemini as daily driver
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@XiaomiMiMo On opencode, Mimo is far better than Kimi 2.6.
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Xiaomi MiMo-V2.5-Pro achieves multiple breakthroughs in the latest Arena rankings (Apr 26, 2026) 🔥
🏆 Text Arena (Expert) — #6 globally | #1 open-source model
Also #1 among Chinese models, with Xiaomi ranking #3 globally by lab, behind only Anthropic and OpenAI.
Expert is defined by high-difficulty tasks and expert voting, measuring core model intelligence.
🏆 Text Arena (Overall) — #2 open-source globally
Strong across math, coding, creative writing, and general text tasks.
🏆 Code Arena (WebDev) — #3 open-source globally
Evaluated by real community blind voting on frontend code generation.
🏆 Text Arena sub-rankings — #1 open-source globally in 4 categories
Hard Prompts, Hard Prompts(English), Instruction Following and Long Query.
Real-world preference, real model strength.
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@hnasr To the point I was convinced that xiaomis pro model os cracked 😂
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The quality of chatgpt responses this month has been degrading for me about 70% (70% it is getting it wrong or vague)
It seems to be insisting on being wrong. Even when I take its hand and show it how its wrong. There is always a contrived “but”, almost closing in to gaslighting.
context questions: Kernel programming and networking.
I find myself wasting my time at this point, easier to read LWN
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@daradoescode Give it 5 minutes. He will upload another video about how everybody is hiring. Classic theo
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we're at 50,000 subscribers
still $10/month
higher limits than ever
Stefan@StefanTMD
Opencode Go did 180B tokens in a single day
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Coming from the Node.js world, testing @LocalCanApp 3.0 Beta rewritten in Go, on Linux, using 18 MB RAM and a ~3 MB single binary, is just mind-blowing 🤯
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@XiaomiMiMo, mimo 2.5 pro is a great model. Very great at UI. Thank you :)
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Abdullah T. Alzariqi retweetledi
Most of the time I like that ChatGPT has context from my previous conversations when I start a new chat, but I would love an option to disable it for just a single conversation at the time of starting that thread.
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Abdullah T. Alzariqi retweetledi
Realizing US citizens paid $166 Billion in illegal tariffs and now it’s being refunded back to corporations instead of us.
Kalshi@Kalshi
JUST IN: US to refund $166 billion in tariffs after Supreme Court ruling
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@Kimi_Moonshot Great model at UI for sure. But @Kimi_Moonshot, how can I opt out of allowing my prompts and code from being collected. That is the only reason I cannot use your model.
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Meet Kimi K2.6: Advancing Open-Source Coding
🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2)
What's new:
🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization).
🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D.
🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files.
🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops.
🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop.
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K2.6 is now live on kimi.com in chat mode and agent mode.
For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code
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🔗 API: platform.moonshot.ai
🔗 Tech blog: kimi.com/blog/kimi-k2-6
🔗 Weights & code: huggingface.co/moonshotai/Kim…
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Abdullah T. Alzariqi retweetledi
Dario is wrong.
He knows absolutely nothing about the effects of technological revolutions on the labor market.
Don't listen to him, Sam, Yoshua, Geoff, or me on this topic.
Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor
TFTC@TFTC21
Anthropic CEO Dario Amodei: “50% of all tech jobs, entry-level lawyers, consultants, and finance professionals will be completely wiped out within 1–5 years.”
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@shiri_shh they could have done this but they didn't. They chased the website builder high
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Figma CEO watching 14 years of work get cooked by one tweet 😭
Claude@claudeai
Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
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@wailsapp Keep up the good work! Looking forward to using the first beta 👏👏
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@shiri_shh The literal definition of a bubble. Why are people hyping this up again ??
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Abdullah T. Alzariqi retweetledi
This is wrong.
Open source isn’t dead just because AI can more easily reverse engineer your codebase. AI can reverse engineer your closed source system just as easily.
The solution isn’t to hide the source. The solution is transparency, publishing advisories, and hardening.
Bailey Pumfleet@pumfleet
Open source is dead. That’s not a statement we ever thought we’d make. @calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up. AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost. In that world, transparency becomes exposure. Especially at scale. After a lot of deliberation, we’ve made the decision to close the core @calcom codebase. This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible. We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple: Protecting our customers and community at all costs. This may not be the most popular call. But we believe many companies will come to the same conclusion. My full explanation below ↓
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