Amir

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Amir

Amir

@TABAKOVIC

connecting the dots / lateral thinker / former refugee / flaneur in progress / pot plant / FinTech / Machine Learning / Data Privacy / Wardley Mapping

Barcelona, Spain Katılım Mayıs 2009
270 Takip Edilen334 Takipçiler
Amir
Amir@TABAKOVIC·
Reverse engineering business processes is definitely THE biggest challenge in AI powered automation right now.
Eugen@EugenAlpeza

We’re out of stealth. Today, we’re also announcing our Series A led by @sequoia , @8vc , and @A_StarVC , bringing our total funding to $30M+. Every enterprise needs to teach their AI how to do work. We build agents that reverse engineer enterprise processes, then run them. Read about the future of learning in the enterprise: x.com/edra_ai/status…

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AmirMušić
AmirMušić@AmirMushich·
Brands pay agencies $5,000+ for videos. Today, I'm giving you the entire agency for free. From pro showreel to marketing tools. Inside this thread, you will get free: → guide to creating a pro showreel in LTX-2 → My original, royalty-free music track (+ PDF license) → custom transitions pack → curated font-pairing guide → Media Kit template (Figma) to land clients. Everything you need to go from 0 to a paying client. Save the blueprint 🧵
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Theodora Chu
Theodora Chu@chu_onthis·
new mcp spec just dropped: 1. auth is fixed! at last! 2. elicitation now makes it possible for a server to ask an end-user for more info, enabling more agentic behaviors 3. structured tool outputs makes it easier to reason about tool responses 4. more security documentation
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Fei-Fei Li
Fei-Fei Li@drfeifei·
Check out this shiny new, fast and dynamic web renderer for 3D Gaussian Splats! The things one could do are just mind boggling! So proud of the @theworldlabs team that made this happen, and we are making this open source for everyone!
spark@sparkjsdev

Open Sourcing Forge: 3D Gaussian splat rendering for web developers! 3DGS has become a dominant paradigm for differentiable rendering, combining high visual quality and real-time rendering. However, support for splatting on the web still lags behind its adoption in AI.

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Google DeepMind
Google DeepMind@GoogleDeepMind·
Watch Gemini 2.5 Pro implement a landmark Google DeepMind research paper. 🕹️ It codes the reinforcement learning algorithm, visualizes the training live and even debugs errors. ↓
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Amir
Amir@TABAKOVIC·
@nntaleb You mean: "How Europe will greet Heil"?
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Amir
Amir@TABAKOVIC·
2025, captured in one gif
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Amir
Amir@TABAKOVIC·
Im Sommer scheint d'Sonne, im Winter da schneit's In der Schweiz, in der Schweiz, in der Schweiz
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Amir
Amir@TABAKOVIC·
After a few days with @RailService Swiss Federal Railways, the experience is far from the Swiss quality stereotype. Overcrowded trains, shortened compositions during peak hours, delays, and staff lacking friendliness.
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Andrej Karpathy
Andrej Karpathy@karpathy·
Are we able to agree on what we mean by "AGI". I've been using this definition from OpenAI which I thought was relatively standard and ok: openai.com/our-structure/ AGI: "a highly autonomous system that outperforms humans at most economically valuable work" For "most economically valuable work" I like to reference the index of all occupations from U.S. Bureau of Labor Statistics: bls.gov/ooh/a-z-index.… Two common caveats: 1) In practice most people currently deviate from the above definition to only mean digital work (a relatively major concession looking at the list). 2) The definition above only considers the *existence* of such a system not its full deployment across all of the industry. Some people say GPT-4 is already AGI, which per above definition would be clearly not true. LLMs are useful tools for most of these jobs but you clearly couldn't hire them to autonomously perform them in full and autonomously at human+ capability. Last note some people say the goalposts keep moving, which I mostly disagree with. I think the definition above makes sense, it has been stable, and has clearly not been reached.
Ted Sanders@sandersted

AGI is hard to define. my preferred definition of AGI is a computer system that can can accomplish a task impossible for 100 human geniuses working together, such as publishing a blog post with a single canonical spelling of GPT-4o / gpt-4o / gpt4o

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Andrej Karpathy
Andrej Karpathy@karpathy·
Actually I was reading the book "A Poison Like No Other: How Microplastics Corrupted Our Planet and Our Bodies" just last week. I didn't realize the extent to which plastics have come to permeate and mess with our entire environment. It's not just about the polymer granules of the plastic, which is problematic by itself when during their breakdown they get small enough to make their way everywhere, including inside our organs, brains, etc. It's about the ~thousands of exotic chemicals that get mixed into the plastics to tune them: plasticizers (to make them more flexible/durable), stabilizers (to help them resist heat, light), flame retardants, colorants, fillers, antioxidants, UV stabilizers, antistatic agents, lubricants, biocides, etc etc. These chemicals leach from the plastics over time (by default, but especially when you e.g. when you microwave your food). The vast majority of these chemicals have never been evaluated for safety. There's many other fun facts in the book. We already knew "recycling" of plastic is basically fiction. It also turns out that e.g. when you see "biodegradable" on your plastic, that doesn't mean in normal natural conditions - they only degrade via specific processing plants that are equipped to degrade them. Toxic, indestructible, synthetic molecules are mixing through the organic environments and the food chain and quite likely poisoning the environment and us. It definitely feels like we've allowed the convenience of plastics to get way ahead of our understanding of their global effects and that there are some major unpriced externalities in the industry.
Jon Evans@rezendi

"The researchers found that 24 of the brain samples, which were collected in early 2024, measured on average about 0.5% plastic by weight." theguardian.com/environment/ar…

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