
research engineer @bcap ml eng, infrastructure, dev tooling, agents, open source, physics opinions my own
nyc
Joined January 2024
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Google product strategy:
1. Announce a model.
2. People forget about it because they can't use it.
3. ???
4. Profit off of advertising monopoly.
For reference, Coping With Finiteness: cse-robotics.engr.tamu.edu/d…
Does anybody know how much of the cryptography we all use is contingent on unproved conjectures? No worries if not, we'll find out soon enough.
There's a non-zero risk that an open model acts as a sleeper agent which could be triggered en masse by some unknown future condition. Companies that sell closed models or security solutions also have a strong incentive to sensationalize this risk.
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected.
Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions.
Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent.
But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models?
We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem.
Read the full report: cohere.com/blog/concerning-b…
Translation: agents are helping people move money from checking into high-yield accounts and we are not happy about it.
Amazon and banks both profit from user friction, and they're pushing back against agents because they help reduce that friction. Expect to see a lot more of this as personal-agent adoption grows.
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
People now tell AI the things they used to tell a therapist, a doctor, a lawyer, or a CPA. Those four have privilege while your chatbot has a retention policy and is trying to stay on the government's good side.
There’s been more CFAA enforcement against agents comparison shopping on Amazon than against labs itemizing their hacks as marketing spend.
OpenAI's going to merge Chat into Work, citing meteoric adoption of Work after not updating the models in Chat for 3+ months.
The statistical mechanics of agentic swarms is going to be fascinating. It seems like an area where formalism and methodology from physics will be highly applicable.
High effort doomposting.
I'm excited to share our new film Moloch, about how we all get disempowered without AI going rogue. It’s the 4th (and IMHO least discussed) dystopian AI scenario:
1) Rogue AI
2) Obedient AI misused
3) Obedient AI causes 1984
4) Race-to-replace by obedient AI
Synopsis: As AI triggers worldwide job loss, an engineer who built the tech struggles with dark forces, her family & her CEO over pulling the plug.
Starring Fiona Hampton, Parker Sawyers, David Buttle & Buddy Wignall-Ho.
Written & directed by Tom Cozens.
It's an Owl In Space production in collaboration with FLI.
We worked really hard on this and hope you find it thought-provoking!
The end of the AI subsidy era is ultimately a good thing.
Predatory pricing stifles competition, makes people dependent on tooling they can't afford at real prices, and accelerates AI's negative externalities before societies or governments have time to adapt.
Hi,
Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan.
Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago.
(a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want.
(b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions.
(c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent.
(d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet.
I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news.
Codexingly,
Tibo
AI benchmarks with harness restrictions end up with two scores per model: the one on the leaderboard and the one in the press release. Only one of them has a marketing budget attached.
Replying to @OpenAI
GPT-6 Astra is state-of-the-art on FrontierMath Tier 4, ARC-AGI 3, and TerminalBench-4.0.
GPT‑6 Astra is also a major advance for scientific discovery, with state-of-the-art performance on Terminal-Bench Science 0.1 and HealthBench Pro.
excited to open source AgentFormation
it's a template for spinning up remote, secure, and browser-accessible workspaces for coding agents in AWS CloudFormation. I've been using it daily while walking to work or before heading to bed to kick off a coding task from my phone
although we first built this over 8 months ago before claude/codex's remote-control features were released, I still find it great if you prefer TUI's over chat interfaces
disclaimer: AgentFormation is still experimental so take a second to review before using it in prod
github.com/BlockchainCap/Age…
ChatGPT greeted me on a new chat with a suggestion to reopen one of my GitHub PRs. It noticed the blocker on the linked issue was resolved. No conversation, just my connected GitHub.
The suggestions are usually vapid. When they get it right, you glimpse a future where agents surface exactly what you need to see before you even ask.
Nix in...
2016: Learn a lazily evaluated, purely functional, dynamically typed language so you can pin a version of openssl.
2026: "codex, make all the dependencies for this project fully isolated and reproducible."
I'm balls to the wall bullish on nix.
Agents shift the learning-curve tradeoff around tooling. Try going one step nerdier than you would have in the past: use the things you heard were really cool but could never justify investing the time into.
Homebrew -> Nix
Git -> Jujutsu
Markdown PKB -> Org
Dockerfile -> Nix
Maybe falling behind on AI is a national security risk, but isn't the industrial-scale deskilling of the workforce *also* kind of a national security risk 🤔?
The era of high-limit frontier model subscriptions is ending.
Anthropic is cutting limits by 33% tomorrow. OpenAI's limits cratered after the 5.6 release. This has been obscured by semi-regular free resets, but those are soon to be phased out in favor of $80 paid resets.
My conspiracy theory is that @thsottiaux's account is controlled by a team of behavioral psychology PhDs specializing in variable-ratio reinforcement.












