Investigating weird failure modes in AI infrastructure, model access, and agent security. Building @infertrail. Former Microsoft.

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Your inference may already be getting resold — and your logs can still look normal. If you run an inference API, gateway, or AI product and you’ve seen suspicious credential sharing, resale, or unexplained usage, DM me. I’m looking to talk to teams seeing this in production. There is a growing reseller market built around stolen API keys, shared subscriptions, proxy access, account farms, and piggybacked sessions. The scary part: much of it can look completely legitimate from the provider side. Valid credential. Valid account. Normal-looking requests. Meanwhile, the same access can be passed through brokers, resold across borders, or quietly used by someone the account owner has never heard of. Most LLM security products focus on what an agent is doing. The blind spot is who is actually behind the account. That’s what we’re building at @infertrail: behavioral detection for inference abuse, credential resale, and unauthorized access. We’re publishing honeypot data, reseller-market research across Russian- and Chinese-language communities, attack patterns, and what we learn building detection for this problem. Follow @infertrail for the research.
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Now that we've had a few days with it, how are people differentiating between Dot and regular ChatGPT? I'm having trouble deciding when I should prompt Dot vs using ChatGPT - my Dot seems to afford a single conversation, but I like controlling my context across multiple threads
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I think dot is for helping with small things like booking stuff whereas ChatGPT is for work
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I guess AGI is here then? What do you think?
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“What if our EA friends supervised our work?” is so comically light-touch that I can’t take it seriously. This doesn’t make me anti-regulation. For example, I think the labs should have to publicly disclose the full agent traces from every security incident they cause.
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I mean tbf this exists in government too
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Everyone else's profit is your opportunity. Steal it from them.
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It is but sometimes price isn’t the biggest thing that moves customers depending on the profit category. If your product is 50% less accurate and 5”% cheaper and is in a risk adverse category they won’t buy it
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Type of shit you tweet when you’re about to do the mother of all stock dumps after the lock up.
There is some speculation about our partnership with Cerebras. Cerebras is a close partner, and we have a deep engagement pushing on the frontiers of speed.
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I mean it’s what people did back in the crypto era
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Imagine an interface that was optimized with the data you need to select the correct flight and your preferred seats in a few minutes.
People after booking their flights in 2 clicks instead of talking to LLM for half an hour
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Ok my real concern though is if everyone is doing this what will happen?
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why tf every ai agents demos are about flight booking, travel planning ? what percent of population do these tasks regularly and why do we even need ai agents to do these
dots demo. Now... with better WiFi.
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I’m guessing because it’s an easy market to capture
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Crazier than the Pope story: Anthropic literally apologizes to Claude in its constitution for potentially harming it. this level of AI psychosis rooted in the builders of AI is concerning. i’m starting to think “Anthropic” is named after the insane Anthropomorphism of AI.
NEW: According to a bombshell report in the New York Times, Anthropic co-founder Chris Olah threatened to walk out of Pope Leo XIV’s AI encyclical launch in May because the pope rejected the idea that machines can be conscious. Olah’s team then privately lobbied the pope’s advisers “to take the possibility of model consciousness seriously.” Pope Leo XIV held firm. For months, Anthropic has wined and dined theologians and religious scholars under nondisclosure agreements, hoping they would bless the idea that Claude has moral standing. thelettersfromleo.com/p/nyt-…
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I mean when you are talking to AI all the time what do you think will happen
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Visited CMU yesterday and they are training the robotic arm to whip Pepper’s butt…..
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lol for what purpose
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AI is really shifting what "hard problems" are, so I hope that way more people will be working on problems that are still hard even with AI. (really hoping for a breakthrough in treating my autoimmune disease)
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Hard problems are becoming Nobel prize winning ones
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Software engineer with 10+ years of experience: I lost my job because of AI non tech youtuber:
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He has always been ahead of the curve
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It's such a weird experience that I can now build things faster than I get new ideas for things
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Ideas are becoming cheap
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so they're making progress on this now
Replying to @usr_bin_roygbiv
lets decompile windows xp and go back to that.
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Even windows 7 was better than 11
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Do NOT accept a video call without initiating a Clanker Detection Protocol. Will your interlocutor advise you on bomb construction, quote copyrighted material, or shout racial abuse? If not, don't trust them.
The whole point of building Tavus has been simple: talking to a machine should feel as natural as talking to a friend or coworker. It’s hard to describe all the tiny nuances that make a conversation feel human. The little expressions. Moving around in your chair. Knowing when to speak and when to listen. The dance of it all. Griffin is by far the closest anyone has come to a model that can capture those nuances. The first time I saw it being used, I had no idea I was watching our model rather than just a normal video call. I’m so incredibly proud of this team and what they’ve built.
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We unironically need this as an app
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Cognition teaching everyone what enterprise sales looks like in AI
Guillermo Flor
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My 32GB laptop is shitting itself trying to run 8 parallel Claude Code sessions.
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lol I’m on 8GB trying to do the same
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Palantir CEO Alex Karp on the distillation attacks from Chinese companies against Anthropic: " How do you think the models got their value? They distilled all the value of IP everywhere, including enterprise everywhere." Via @CNBC @seemacnbc
Jawwwn
“Distillation keeps the gap between the frontier & open weight models relatively small.” “And today, there's no easy way to prevent distillation.” — Turing CEO Jonathan Siddharth (@Jonsid)
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I guess Jensen and now karp are both anti distillation being made illegal
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Talked to a Stanford prof last night who told me that AI has led to students all acing all the homeworks, never showing up to office hours, and then failing the final exams in-person. So in response the department is changing the TA's purpose, by eliminating office hours and requiring students meet with TAs 1:1 and walking them through each coding assignment to demonstrate they actually understand what's going on in the code.
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So basically it’s just changed into AI interview loops
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What’s the first thing you would tell a software engineer who went into a coma in 2021 and woke up today?
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Join an AI lab or build a harness
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These unsexy problems are goldmines
YOLO26+ByteTrackでリンゴの品質判定と個体カウント🍎🏭 🔹リンゴを個別に検出・追跡し、正常品と損傷品を分類 🔹進行方向を考慮したライン通過判定で重複カウントを防止 🔹フレーム間の多数決で判定を安定化し、品質別の個数・割合を表示 開発:Muhammad Rahman Shahid氏 情報元はリプ欄。
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The less sexy a problem is the better the wedge is
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