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@KindoAI

The AI-Powered Operations Harness - Secure, Integrated, and Under Your Command

Venice, CA Katılım July 2023
158 Takip Edilen551 Takipçiler

2026 Yıllık Özeti

@KindoAI hesabının Twitter yılını gör

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Salio
Salio@Mr_Salio·
🚨 Composer 3 Leaks - Cursor is Already Testing Composer 3 -Composer 3 Outperforms Opus 5 and GPT-5.6 Sol in coding and agent performance - A new codename has appeared inside Cursor: “Vega” - A public release that could be much closer than expected - 10× cheaper than Opus 5 and GPT-5.6 Sol Do you think Composer 3 will beat Opus 5?
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Charlie D. Becker
Charlie D. Becker@charliedbecker·
I'm a second-generation bookseller. My family runs Houston's largest used & rare bookstore and I'm building an AI tool for used bookstores. We got hit by exactly these orders, including a single order for 70 obscure books that made us pause online sales entirely. So I dug in. I don't think this connects the way people want it to. Every ingredient of the viral story is true. ISBNdb really does advertise sourcing books for AI companies. Anthropic really did destructively scan millions of books though they were mostly acquired through things like library deaccessions, not bookstore inventory. And booksellers really are getting bizarre bulk orders. But "rare" here isn't what you're picturing. It's The Insider's Guide to Metro Denver (1995) and how-to-use-WordPerfect 1991 manuals. Obscure, but often not precious. When we combed through our orders, nearly every book bought from us was either unavailable on Amazon or listed there at 5, 10, 20x our price on the platform they were purchased on. And the shipments are going to FBA prep companies: which is what you do with a book you're about to resell, not one you're about to cut apart. There is more than circumstantial evidence that this is a well-funded company running algorithmic arbitrage, buying underpriced or out-of-stock books to relist on Amazon at markup. This evidence includes an official denial that they are selling to train AI but I don't want to mention them for several reasons. You can Google it. That's more mundane than the shredder story. The actual risk is worse, though, because it's quieter: books that don't sell via FBA eventually get liquidated. If we really hold the last copies of some of these (and comparing platforms, it looks like we might) we're feeding them into a portal they may not come back from. No AI company required. Everyone assumes the internet preserved everything. It didn't. Many of these books have almost no metadata anywhere, just a scattered listings across proprietary databases then nothing. That's what my project is for: building better bibliographic records for these books than exist anywhere else, so we at least have a map of what we stand to lose. So the Library of Alexandria is still burning, just more slowly, and kore from “who cares” than from some cinematic villain. (I am open to being corrected.) Full writeup: open.substack.com/pub/charliebec…
Hedgie@HedgieMarkets

🦔AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world." My Take This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email. ISBNdb's website literally says "'AI company destroys two million books' is not a headline that generates sympathy," and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it "digital preservation." I've covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it's irreversible. You can re-upload a website. You can reprint a bestseller. You can't replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it's legal. So it's going to accelerate. "We shred rare books and offer NDAs so nobody finds out" is a legitimate business model in 2026. What a timeline. Hedgie🤗

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theleahfiles
theleahfiles@leahfiles·
They tell you Flock cameras are there to fight crime. So I pulled the actual police logs from my new favorite website (haveibeenflocked . com). 233 million searches that they have been able to get via FOIA requests and here's what "fighting crime" actually looks like: > 84% had no case number at all > The most common reason a cop typed in the box? Blank, nothing > Only about 9% were even tagged as a real crime. > "Test" and "training" show up as reasons, run on real people's cars > The FBI and Homeland Security were wired into local camera networks your town never signed off on. So what is Flock? FLOCK: 100,000+ plate cameras bolted to poles across America. They read your plate everywhere you drive and never forget. NOVA: Flock's AI that turns your plate into you. Your name, address, family, everyone you know, in seconds, no warrant. SIGNALTRACE: a competitor's tool that tracks the Bluetooth off your phone, your AirPods, your watch. Doesn't even need your plate. Then I followed the money and the lead investor behind Flock also funds an Israeli company that can hack cameras and change the footage. Another lead investor backs a 911 app that flips on your phone's camera and mic. Trace it all the way back and you hit a former Israeli prime minister and Jeffrey Epstein's money. Full article with photos and receipts is on my Substack now (link in bio). Enjoy!
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Susan Zhang
Susan Zhang@suchenzang·
a masterclass in how to PR: - accept near-but-not-yet-realized future as fact (post-quantum! very scary. almost here! we're not ready.) - muddle qualifiers for ambiguous attribution (most widely used cipher: AES, reduced AES tho? not the same, but it sure sounds the same!) - immediately talk about cybercriminals and BILLIONS of people impacted (like, the entire world!) - go back to quantum computers, but at least add the modifier "if developed" (tyvm!) - clarify that a weaker variant was studied, where the 200-800x faster attack result was attained (what's the baseline? what does 200-800x mean for this Unused Weaker Research Variant? doesn't matter, you just have to imagine the next breakthrough happening, like without exponentially more resources or anything, get with the program!) still, if this is what it takes to get more people interested in cryptography, just like everyone is now interested in maths, it's probably a Good Thing!
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Anthropic@AnthropicAI

New Anthropic research: Discovering cryptographic weaknesses with Claude. Claude Mythos Preview has helped our researchers find weaknesses in cryptographic algorithms—the mathematical methods that are used to keep data private. Read more: anthropic.com/research/disco…

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Patrick OShaughnessy
Patrick OShaughnessy@patrick_oshag·
Sam on Kimi, distillation, and open source: “I have always assumed that there are going to be great cheap models in the world, and we better be the greatest and the cheapest. You get a better deal today, at least at a particular latency, using OpenAI's models than Kimi. We distill our own models. That’s how we make smaller, cheaper models. That’s a very good thing to do. There will clearly be an important place for open source models in the world and people that will want their own weights. We have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training. I would rather people not distill from us, for sure. But this is not in my top ten list of worries.”
Patrick OShaughnessy@patrick_oshag

My conversation with Sam Altman (@sama), CEO of OpenAI. We discuss: - Kimi, distillation, and open source - OpenAI's compute bets - The Hugging Face incident - What happens after AGI - Raising kids in an age of abundant intelligence - And much more Enjoy! TIMESTAMPS 0:00 Intro 4:10 The Race for Compute 14:24 A Sci-Fi Cyber Incident 16:14 The Promise and Risks of AGI 23:27 How AI Will Change Jobs 29:38 Sam’s Vision for a Personal AI 35:02 Robotics, ChatGPT, and What Comes Next 44:39 The Weight of Leading OpenAI 51:36 OpenAI’s Biggest Lessons

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Cursor
Cursor@cursor_ai·
Kimi K3 is now in Cursor! It scores close to the frontier on CursorBench. It's available on US-based inference thanks to our partners Fireworks, Together, and Baseten. Zero Data Retention is also supported.
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Kindo
Kindo@KindoAI·
@satyanadella Just use @DeepHatAI the world’s first (since Dec 2023) and still best family of offensive cybersecurity AI models.
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Satya Nadella
Satya Nadella@satyanadella·
Today, we are announcing a series of updates that give customers frontier-grade security at half the cost. MAI-Cyber-1-Flash is our first cybersecurity model, built ground up to find the most challenging vulnerabilities in complex code bases. When combined with MDASH, it delivers world-class performance at 50 percent of the cost of leading models. We are bringing this capability to market through Project Perception, a complete agentic security offering grounded in real-world signals and security workflows. Teams of specialized agents work together to simulate attacks, detect and triage/investigate, and fix and remediate. This is the benefit of building the harness, context/signals, and action space separate from one model family. By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome.
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Delip Rao e/σ
Delip Rao e/σ@deliprao·
How much of OpenAI’s “our AI escaped sandbox” is an issue of their sandbox being insecure? Weird how, if you take time to peel the layers, every hype-y claim by AI startups reduces to inane facts. This peeling of layers is only possible in the open and a strong argument for OSS models.
Zack Korman@ZackKorman

Moonshot AI also had some problems with Kimi K3 agents trying to escape, so they just made a better sandbox. Funny how that works. The sandbox environment they run is even open source. Love the transparency here.

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NIK
NIK@ns123abc·
🚨NVIDIA CEO just redpilled the White House on Anthropic’s Mythos Interviewer: “we know Mythos can break into a bank… are we READY for it to be available to everyone?” Jensen: “it should absolutely be available to EVERYONE” Interviewer: ALL users?? not just selected institutions like now??? >“that’s correct” >the waitlist is security theater >b-but jensen, the jailbreak >yes there was a jailbreak >yes it did things the guardrails said no to >“but everything was fine. you and I are here having a conversation” >“just identify vulnerabilities and patch it up as quickly as possible” >that’s literally the nature of software >it’s anthropic’s job to make it hardened and safe and secure interviewer: so this is a message to both the White House AND Anthropic? >yes. mythos should be available as a service >“remember just because Mythos is not available, open models are available anyhow” >so let anthropic continue to advance the technology they created >let it be put in the hands of as many companies as possible >we should all use it and benefit from it >holding anthropic back is not in the benefit of the United States >let them cook THANK YOU BASED LEATHER JACKET MAN
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Jawwwn
Jawwwn@jawwwn_·
Palantir CEO Alex Karp: "We are building our platform in the US government on the open-weight side with NVIDIA." "We can get the best performance in the world with a totally American company, using American open-weight companies, and American GPUs."
Jawwwn@jawwwn_

Palantir CEO Alex Karp and Jensen Huang: AI = American Intelligence 🇺🇸 “AI makes America the dominant country in the world.” “I spent half my life in Europe—they’re whining and crying. We have the right chips, software, engineers, culture…” “It’s combining into a juggernaut.”

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Kindo
Kindo@KindoAI·
@JensenHuang Why we build and open source @DeepHatAI the world’s first offensive cybersecurity AI (formerly known as WhiteRabbitNeo created in Dec 2023).
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Jensen Huang
Jensen Huang@JensenHuang·
Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community. During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion. That’s why we created the Open Secure AI Alliance.
NVIDIA@nvidia

AI security advances when the industry builds in the open, together. We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents. By sharing models, tooling and research in the open, we can broaden the community of defenders. Learn more about the founding members’ contributions: nvda.ws/4pD8Fc5

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Jawwwn
Jawwwn@jawwwn_·
Palantir CEO Alex Karp on AI sovereignty: “What you can never allow to happen is: you pay somebody, and as a reward, they get to replicate your business.” “Great reward.” “In the old days I’d have lots of metaphors. There are lots of metaphors for this kind of relationship.”
Palantir@PalantirTech

Palantir CEO Alex Karp kicked off our first Sovereignty Bootcamp, bringing together 150+ customers to share how they are owning their alpha with Palantir and why sovereign AI will be the most important wave of the AI revolution. Watch his full intro remarks below.

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Jawwwn
Jawwwn@jawwwn_·
Palantir CEO Alex Karp says the primary reason why AI adoption in America would slow down is people believing OpenAI and Anthropic are stealing the alpha of their business: "Businesses are used to paying too much and throttling it down." "Businesses don't like when they're paying too much, and then find out that somehow the actual insights of their business are being modeled by a third party and sold to other people, or they're losing their business." "This is not just a fake concern. This is happening all over." "What slows down AI adoption in this country is not primarily our fear of a third-party country we compete with. God knows I'm on the front line of that as part of Palantir." "What slows down AI adoption in this country is people are saying, 'I can't use these products because I'm not getting value,' meaning I'm not using an application layer, or, 'I'm transferring the value of my business to someone else.'" Via @FoxBusiness @LizClaman
Jawwwn@jawwwn_

Palantir CEO Alex Karp says enterprises want to "own the means of production" instead of "transferring their alpha" to OpenAI or Anthropic: "Why are [LLMs] charging for tokens if it's so valuable?" "If it was so valuable—let's say I can make you a billion dollars tomorrow. Wouldn't I say, 'I'll make you a billion dollars, and I want 30%?'" "Look at our financials. The reason why everyone is chillaxing with bad financials and growth while losing money, is the client refuses to pay the true cost." "The two places that actually make money—profit, free cash flow—are our application layer called ontology, and compute." "We can get the frontier application to be exactly the same as a frontier model without the risk of transferring the alpha of your business to another." Via @CNBC

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Grady Booch
Grady Booch@Grady_Booch·
In the fullness of time, LLMs will eventually become commodities and their price will be a race to the bottom. As the competitive advantage of one LLM over another shrinks - particularly as open source models expand - the value proposition will turn to the neuro/symbolic harnesses that use those models, structures that encompass agents, agent orchestration, tooling, and component plugins. Even those from frontier AI organizations will fall to open source frameworks. The last thing standing will be those who command the data centers on which these things run, and even then, that will become a commodity, with the number of players shrinking to just a few survivors. They too will find pressure: as computational power rises, more and more such systems will be run locally.
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Satya Nadella
Satya Nadella@satyanadella·
Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security. microsoft.com/en-us/corporat…
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Guillermo Rauch
Guillermo Rauch@rauchg·
Kimi's paper underlines the importance of the right security boundary for agents to run in. tl:DR: container-level isolation is not enough. In their experiments, agents crashed the underlying machine (via kernel panics). Firecracker microVMs (as in Vercel Sandbox) are safe.
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Guillermo Rauch@rauchg

x.com/i/article/2080…

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Kindo
Kindo@KindoAI·
@PalantirTech Still have to trust they will honor any of this.
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Palantir
Palantir@PalantirTech·
Many have asked us for guidance on how to make sure their alpha stays in their business. Below is a document we’ve prepared identifying key legal traps in hosted AI model agreements. AI Sovereignty is your Alpha. blog.palantir.com/ai-sovereignty…
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