Igor Makarov ꙮ (@igormaka) profile picture

LLM punk. git delendum est. Tax the rat farms. (ex) iOS Tech Lead @moovit. He/him ꙮ

Joined January 2009
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Chat is there a term for states you just fly over
just realised i’ve never been to any of these states
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I liked the idea but couldn't figure out how to onboard
Replying to @julesagent @Google
jules users upset about this shutdown
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Everyone keeps reinventing this, we need user auth for agents
“Last edited by” now shows which agent, MCP client, or automation made a change. A li’l more accountability for your agents’ edits 🫡
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Sadly there's little need for software without edge cases. A thousand nos for a yes. It's the yes that matters.
That's why you always say no to that
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On a flight next to a Arch Linux laptop user and he brought a flatbread, vegetables and a can of pickled mushrooms and I don't know if there is a more Linux in flight meal.
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He also drank the pickle juice and put the leftover mushrooms in two ziploc bags, nested.
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Chat is this yaml
I'm excited to launch: SOML · A config format for humans - Braceless top-level object - Quoteless keys - No unnecessary commas - Comments - Duration type Draft spec. Feedback wanted. soml.sh
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Igor Makarov ꙮ retweeted
So much of my feed is AI investors crying about imaginary issues, because they know that open weight models threaten their ROI. All of these critical vulnerabilities were found with closed AI model, then responsibly disclosed to vendors so they could be fixed before attackers abuse them. Even if the researchers had used abliterated models, they are still responsibly disclosing the vulnerabilities so they can be fixed, which is still providing important defenses against hackers. Notice how they always just handwave about "critical vulnerabilities" because they know they can't point to a single real example. That Anthropic article is extremely low effort propaganda designed to try and steer the government towards banning open weight models. Bad faith actors with ulterior motives trying to lay the groundwork for extremely harmful regulations is all these people are. What do you think happens when companies can't access cheap AI inference, but criminal hackers can, because (spoiler alert) criminals don't follow the law.
I strongly believe a part of why so many critical vulnerabilities are happening all over the proliferation of "abliterated" models, or models with safeguards removed. You can access an abliterated GLM 5.3, a near frontier AI model, on @abliteration_ai today. And it's a world class penetration tester for like $10.
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Everyone's talking about the slop em dash, no one is mentioning slop period at the end of slogans, taglines etc
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It has waldos, but does it have an idiot son?
Hands daemon running on devices are using amazing @trycua
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Curious why no mobile breaches
October has been an absolute nightmare for software > Railway - customer secrets exposure > LiteLLM - malicious PyPI + Docker releases > Zeabur - infrastructure breached > OpenCode - AI API keys exposed > OVHcloud CLI - official binaries backdoored > Rank Math PRO - malware in official plugin > TeamUpdraft - customer data compromised > ConnectWise - cloud backup identities compromised > Tensorlake - npm package infected > SubQuery - backdoored npm package > GhostAction - GitHub repos with malicious workflows > PHP - critical RCE vulnerabilities > Node.js - security vulnerabilities patched > eMudhra - certificate authority keys compromised > Tailscale - eMudhra incident At this point, the biggest security risk might not be the code we write, but the code we trust...
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I know of a restaurant owner who had some coding experience, who replace his pos software with bespoke stuff he vibe coded himself. Unhinged because money, but still.
The dirty secret of SAAS is that subscription pricing allows you to keep charging customers who aren't really using the product. The downside of this is that when your subscriptions finally churn, it's a *lagging indicator* of your business failing. I strongly suspect that there are many, many "dead men walking" now in SAAS, both AI-native and traditional: businesses where the financials may still look fine -- just a quarter or two of stagnant growth, margins are still great, maybe there's an AI narrative going forward, etc. but the *product* is losing utilization and they will lose every single customer to {{AI-native competitor, possibly the big labs themselves}} as the customers encounter those solutions. Those customers become dormant users, but the subscriptions still run for the while. The actual revenue churn only occurs months or quarters later when the question of "is anyone still using this? do we need to keep paying for this?" is finally answered with a "no" rather than an "i'm not sure".
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The problem with monopolies is not their size. It's who owns them. CF happens to have a benevolent dictator.
I was super critical for years that Cloudflare turns into a single point of failure for many sites. But the flipside is that it's also has a really good positive leverage affect on security. This is great stuff. xitter.gq/dok2001/status/2112811…
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Or never fixed at all, if it's not critical enough.
Maybe unpopular but yet to see any startup fail b/c architecture choices. I’ve seen a lot fail because of not being able to get users/customers; no real focus on what to build; not finding any traction. When traction hits, even terrible tech choices scale and can be fixed later.
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So true, yet in hindsight entirely interpretable
My prompt vs My agent’s output
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Okay I figured it out: there's actually three gpt work session types: desktop, cloud desktop and cloud mobile. Each has a different tool loadout, especially regarding browser. There seem to be three browser classes - cloud, in-app and user, but not a 1-1 map to session type.
Also, apparently work on desktop insists on using desktop browser and can't comprehend cloud browser, which works fine in mobile app. And yes, I did select work on cloud, which is yet another mode. How many modes is this already?
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When people talk about AI for cyber defense, y’all know the AIs don’t actually fight each other right? There isn’t some holy war between swarms.
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Stop doing the same pirate shit that I do!
new fun automation trick; use a free model in opencode to scrape sessions in herdr and nudge them if the session is hung. ala free, yet, expensive (compute wise) watchdog service.
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Im doing the same but inside gh actions, and no organization. The agents self-organize. pi-durable is awesome. I currently have them running a Friends improv session. friends-swarm.thedarkchef.co…
new AI software factory experiment, modeled after a human eng team: - multiple pi-durable agents - each w/ their own desktop linux VM (8gb ram) - each has a role/persona, works towards common goal - private IRC server for collab - eng rituals: daily standups, "review my pr", etc
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In textiles, "pilling" is the undesirable effect of fibers forming clumps on the surface of a cloth. In online culture, this came to describe the tendency of groups to converge on dumb beliefs, despite the general value of making up your own mind and doing your own research.
When did everything get "pilled"?
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