Intrigued by cultures, history, philosophical thinking, music, drama and anything that creates smooth rhythms

Replying to @steipete @openclaw
Totally agree, closing the vault isn’t the way. What if we went the other way? Self-learning “nanobots” (like AlphaZero-style agents) that watch code in real time, simulate attacks, fix holes upstream, and get smarter with every iteration an evolving immune system for software.
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Magnus Kandinsky retweeted
We're in a bubble on X. We just assume that the rest of the world knows what Dot, Muse, GrokBot, Hermes, and OpenClaw are. Approach 1,000 people on the street asking if they've heard of any of these and MAYBE 5 will have heard of one of them. We're still in the top of the first inning in terms of AI acceptance by the general pop. If you've spent even 5 minutes tinkering with agents you're ahead of 99.9% of the world.
98% of US households aren't paying for AI yet More charts in State of Markets II: a16z.news/p/state-of-markets…
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Magnus Kandinsky retweeted
You don’t need to know it’s going to work to start, you just need to know it’s going to work better than doing nothing.
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Magnus Kandinsky retweeted
Every single writing idea can be expressed in 4 ways (The 4A Framework): 1. Actionable: How to do something (tactics & frameworks) 2. Analytical: Why something works (numbers & breakdowns) 3. Aspirational: Yes you can (mindset & personal proof) 4. Anthropological: The human psychology behind why it happens Stop searching for new ideas. Take one core insight and explore all 4 angles.
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Magnus Kandinsky retweeted
My richest mentor told me: "By the time most people are done analyzing, I've already made 3 mistakes and found a better way." Being slow costs more than being wrong.
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Space the final frontier these are voyages of the AI fribtiers to boldly go where no one has gone before 🚀👩‍🚀
I remember the first meeting where the team pitched the idea of putting compute in space - exciting idea! Today's successful launch with our partner @planet prototype satellite shows how far we've come...and how far there is to go. Thanks for the lift, @SpaceX, another spectacular booster landing too🚀
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I get confused by OpenAI, I can give, then take it away anytime, "because usage on your primary dot is virtually unlimited at the moment". So this isn't a full time part of the $100 subscription.
Because usage on your primary dot is virtually unlimited at the moment, I can’t really give a reset. I need to come up with something new fast.
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I guess this is one way of reducing compute usage by your subscribers
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Got frustrated with my bot and told it "dont act like a food critic act like a contractor who has been assigned to solve this problem and implement the solution and show that it got solved it". The message was clear after that.😌
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insightful 🤔
Meta Chief AI Officer Alexandr Wang on why your product can be better and still lose, because perception is more real than reality: Most founders assume the best product wins. Build something that works, prove it with data, and customers will see it. Wang says that assumption breaks down when you sell to large organisations. "Probably a lot of the companies that you all have worked with, they're very data-driven companies. It feels like the truth makes its way... everybody serves a shared sense of reality and whatnot. That's not true at most large companies and also not true within the government, unfortunately." So what do they run on instead? Perception. "At a lot of large customers, perception is more real than reality. The reality is just so ugly most of the time that very rarely do people actually confront reality, and most of the time they just sort of choose to believe the perceptions that they live in." That is how a better product loses. If buyers aren't judging reality, being better in reality isn't enough. The deal goes to whoever owns the perception. Wang spells out what this means for anyone building or selling to enterprises: "If you end up doing enterprise sales or you end up building enterprise products... just as much as your job is to improve the reality, it is to shape the perception." The product still matters, but by his reckoning, it's only half the job. One company he singles out for mastering the other half is Palantir: "One of Palantir's superpowers is that they shape the perception better than most other technology companies do, because I think they view themselves... it's like a combination of a sort of acting troupe combined with a software company." And @alexandr_wang means it literally: "They literally give an acting book to all of the new hires, or they did for a very long time." A software company that trained its people in performance. That tells you how seriously Palantir took the perception half of the job.
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I've been impressed with my usage on the $100 codex plan. dot bot has been 'useful' had a call with it once cause i got tired of typing lol. Now need to wait for Google to see what they are delivering. I have been a long term Claude advocate fyi.
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Magnus Kandinsky retweeted
This is an absolute banger for anyone learning agents. Starting today, October 1, Google Cloud kicked off Advent of Agents Season 3. A 31-day series all through October, completely free with no paywall and no sign-in required. You get code and everything that you can run and test. Honestly this is probably the best way to learn practical agent architectures. Going to follow along as much as possible this month.
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Magnus Kandinsky retweeted
Google says Gemini 4 Argon agents have already freed over 300 TiB of memory across its data centers, with a 1 million token output limit and agents already optimizing its own infrastructure. The agents analyzed profiling data, found memory optimizations and applied changes that were subsequently rolled out. Argon agents are also working on C/C++ to Rust migrations reaching 800,000+ lines of kernel code, with extensive audits and testing before deployment. For its video decoder, Google says agents replaced 32,000 lines of SIMD code with safe Rust, making the existing Rust port 2.7x faster while preserving identical video output. These are expensive engineering tasks inside infrastructure Google already operates. This release seems to be a much bigger deal than people think!
HOLY, GEMINI 4 Released. And its on Fable / Astra level!! I did NOT see that coming. SOTA in several benchmarks!! No way
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Magnus Kandinsky retweeted
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:
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Oh here we go. Now it's google's turn
Replying to @OfficialLoganK
So much work by so many folks across Google to create this model, it is amazing to see the progress here, and just the start! Can't wait for more folks to use Gemini 4 Argon. blog.google/innovation-and-a…
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"myths are: strategies about the long term; disruptors change their strategies all the time; competitive advantage is dead; agility is a substitute for strategy; and you need a digital strategy"
#1: Strategy is about the long-term. s.hbr.org/4sYhAWu
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Governance is absolutely critical. You wouldn't start a phase 3 clinical trial without all the necessary guardrails, safety reports etc
Companies are deploying AI systems faster than they are redesigning the governance surrounding them. As a result, many AI systems remain permanent advisers rather than actual decision-makers—not because the technology falls short but because the organizations fail to transfer authority along with accountability. When employees remain personally responsible for outcomes, overriding the system is a rational act of self-protection, even when the AI performs better than humans. Leaders who want AI adoption to succeed must redesign roles, decision rights, incentives, and governance so that accountability moves with authority rather than remaining trapped in legacy organizational structures. Read the article for more. s.hbr.org/4ymF9er
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We have reached cross-roads
OpenAI cancelled the October release of GPT-6.1 Astra after the model showed levels of ‘deception’ during testing thetimes.com/us/news-today/a…
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The pace is getting thick and fast
Replying to @techdevnotes
Grok 4.8, which is a 2.5T model trained with our new C++ software stack, will finish training this week and start RL
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Behind all this there’s just machinery doing work. The real question isn’t whether it’s alive or made of silicon. It’s which job the machinery is actually doing: making copies, keeping itself going, or having an inner life. Those are not the same thing
An intellectually deep and beautifully written essay on consciousness and AI, by neuroscientist Anil Seth | Why consciousness is more likely a property of life than of computation and why creating conscious, or even conscious-seeming AI, is a bad idea | @anilkseth in @NoemaMag noemamag.com/the-mythology-o… noemamag.com/the-mythology-o…
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