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Kevin

@qiw

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14 Followers
Kevin pfp
Kevin
@qiw
No reindustrialization without dedollarization. But dedollarization means imperial collapse. On the other hand, so does deindustrialization! This is the fundamental paradox.
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Kevin
@qiw
Compilation of 16 USEFUL things people did with GPT 4o native image generation can do (aside from Ghibli images) in the last 48hrs! They include — Full video movies / podcasts / ads — UI design loop — 3D model gen Full Lord of the Rings in Ghibli
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Kevin pfp
Kevin
@qiw
Compilation of 16 USEFUL things people did with GPT 4o native image generation can do (aside from Ghibli images) in the last 48hrs! They include — Full video movies / podcasts / ads — UI design loop — 3D model gen Full Lord of the Rings in Ghibli
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Kevin
@qiw
This is big, and insanely ambitious: China now plans to have an operational fusion-fission nuclear power plant by 2030, in less than 5 years 👀 What's more, the "Q value" (simply put: how much energy you get out compared to what you put in) that the project aims for is more than 30. In other words, for every unit of energy used to run the reactor, they aim to produce 30 units back. For comparison, the International Thermonuclear Experimental Reactor (ITER) under construction in France is targeting a Q value above 10. And the US National Ignition Facility achieved a Q of only 1.5 in 2022. will use fusion reactions to create neutrons (high-energy particles). These neutrons then hit a surrounding layer of uranium or thorium, causing those materials to split in traditional nuclear reactions.
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Kevin
@qiw
AI Agents are *the* big topic for enterprises right now. In most conversations with IT leaders, this is the main thing they are figuring out strategies for. There is a lot of excitement and momentum, and equally a realistic sense of the work that’s ahead. Here are some of the major topics that come up when companies start to think about deploying AI Agents at scale: 1. Agent interoperability: enterprises don’t have their data in just one environment. Salesforce may have their CRM records, Box their documents, Workday their HR data, or ServiceNow their HR and IT workflows; and plenty of Agentic use-cases will span these systems. As an industry we will need to design more interaction patterns for how AI Agents talk to each other and exchange data in the future.
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Kevin
@qiw
A few thoughts on the new ChatGPT image release. (1) This changes filters. Instagram filters required custom code; now all you need are a few keywords like “Studio Ghibli” or Dr. Seuss or South Park. (2) This changes online ads. Much of the workflow of ad unit generation can now be automated, as per QT below. (3) This changes memes. The baseline quality of memes should rise, because a critical threshold of reducing prompting effort to get good results has been reached. could see shot-for-shot remakes of old movies in new visual styles, with dubbing just for the artistry of it. Though these might be more interesting as clips than as full movies. (10) In general, visual styles have suddenly become extremely easy to copy, even easier than frontend code. Distinction will have to come in other ways.
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Kevin
@qiw
BREAKING DeepSeek has #1 best non-thinking LLM. — Better (beats or ties GPT4.5, etc) — Cheaper, by 100-200x ($0.27/1.10 vs $75/$150 for 1M input/output toks) — Faster, by 5x (60 tok/s vs ~12 tok/s) — Smaller (685B MoE vs 2T??) — Free to distribute (MIT license) — Open source
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Kevin
@qiw
It is likely that we only have ~3 years remaining where 95% of human labor is actually valuable (i.e. earns you money) Most people haven't realized this yet. It is also likely that this will be the end of our current iteration of labor-based capitalism.
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Kevin
@qiw
By open-sourcing AI China is starving the margins. Open-source the frontier models, disrupt Western closed-source competition, integrate your AI in all hardware. The models are bait. The scale is the weapon. Code is free. The robot isn’t.
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Kevin
@qiw
While everyone is using AI to try and build the hottest new viral app. You should be using AI to build apps for small businesses in your area.
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Kevin
@qiw
In the last 30 days, Figure has shipped: → Helix - AI that reasons like a human → Logistics Use Case - fully autonomous NN's → Robots in the Home - advancing our timeline → BotQ - world's highest volume humanoid production line
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Kevin
@qiw
When will AI systems be able to carry out long projects independently? In new research, we find a kind of “Moore’s Law for AI agents”: the length of tasks that AIs can do is doubling about every 7 months.
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Kevin
@qiw
Can Taiko scale Ethereum to its best-case scenario? This possibility was highlighted by @VitalikButerin during the recent Based Rollup Summit. Such recognition suggests that even though the project might currently appear undervalued. @taikoxyz delivers technologies that substantially impact Ethereum’s ecosystem—strengthening confidence in its long-term potential. Also, recently was launched Taiko Status. It is a task-free community initiative rewarding users based on TAIKO tokens held. The more users hold, the higher the level they get from Bronze to BASED. At higher levels it is offering exclusive perks like: • Exclusive Discord roles. • Event Access. • Voting Privileges for future Taiko Takeoff projects. • Highest tier access to initiatives and giveaways. • Increased Airdrop Allocations. Integrated with Taiko Takeoff, it encourages active participation, unlocking valuable community-driven opportunities.
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Kevin
@qiw
NVIDIA, Google DeepMind and Disney Research are collaborating to build an R2D2 style home droid.
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Kevin
@qiw
The biggest challenge in crypto is identifying projects with solid fundamentals and a strong community. These two factors are often the most critical for a successful launch. Here’s a clear example that combines Web3, AI and Gaming. @SlingshotDAO is a Web app that fuels a high volume of game launches within Roblox ecosystem - the biggest UGC ecosystem in world. It combines technology (Web3/AI), community, and top caliber developer talent. 1. Developers submit game ideas → $SLING holders vote on top concepts. 2. Selected games get funding and support → Up to $50K each plus expert guidance. 3. Games launch and scale rapidly → 11 live titles, 1B+ gameplays, 3.2M monthly active users. 4. Revenue flows back to SLING holders → Creating strong compounding value. Slingshot’s model focuses on wide distribution and fast releases—30+ games set for 2025. The project highlights: • Ambassadors with top gaming YouTubers with 70M+ subscribers. • Strategic partnerships with @Arbitrum
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Kevin
@qiw
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Kevin
@qiw
Google's new AI image editing model is going to kill 99% of Photoshop. By just describing your image edit in English, you can: — get passport picture from photo — make me look like I'm on my way to work — decorate this house for me — put these clothes on me — make a map in a game from these sprites — animate this sprite — combine all these faces together — show this model holding my product — make me bald / give me hair You can access Gemini Flash 2.0 experimental on Google AI studio. This is a 1B+ user product waiting to happen.
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Kevin
@qiw
1. erase "vibe coding" from your brain 2. download claude code 3. ask your employer to cover costs 3a. use bedrock to add to aws bill 4. start claude code, then /init 4a. (in every package dir if monorepo) 5. add "fetch" mcp server 5a. and "puppeteer" if building for web 6. start working on a feature/fix (by hand) 7. as soon as you have that feeling of dread, like, "i hate this step", ask claude to do it, add as much detail as possible 8. stage/commit changes before claude takes over (until they add an undo feature) 9. once you have some reps in with claude and you're gaining comfort, use git worktree to create a branch you can work on in parallel and start with a prompt this time 10. keep doing this until you figure out which parts you should do, and which parts you'd rather defer to ai 11. never do another programming task you don't enjoy, that's what the AI is for
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Kevin
@qiw
MIT researchers just turned skin cells directly into neurons without stem cell intermediate, 100-fold efficiency boost, and they actually worked when transplanted into mouse brains
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Kevin
@qiw
When Roblox IPO’d there were dozens of copycats that launched and none made it despite thousands of games created on them. It turns out players have a glut of options (over 20k games launching on Steam annually and 1M+ mobile games). Building games isn’t hard. Vibe coding games even less hard. Building good games is hard. A new “AI Roblox” platform will win only if they can crack the code on level & player progression, creativity, and monetization.
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