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Developer Experience @openai

Joined March 2022
Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)Photo by konstantine (@codestantine)
konstantine retweeted
we should not like a future where there are 1 to 2 AIs and the rest are illegal. we should want a cambrian explosion of the types and possibilities of minds, experiencing new joys and thinking new thoughts. ensuring that this is compatible with human flourishing is only step 1
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konstantine retweeted
Panel de clausura @caromcc_ @0xmts Konstantine y @victornunez DevDay Exchange México city 🇲🇽
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konstantine retweeted
Most of you probably haven't noticed this, but dots have a new feature called multi-exec that we quietly released on friday. I've been using it all weekend on my personal dot and it's incredibly powerful. I'd like to share why this is a big deal and how to use it. At a high level, multi exec lets your dot run commands directly on any computer. This immediately turns your dot into a real virtual employee. Here's why it's a gamechanger: - you can attach a powerful machine with persistent storage to your dot (I attached it to my maxed out Mac Studio Ultra) - the dot can now drive your computer directly via Computer Use - this extends to browser use - all your websites stay logged in, residential ip etc - you set up all your CLIs and authentication ONCE and the dot can use them directly (no more fighting the default ephemeral cloud computer) - the dot can save skills locally for repeated workflows and subagents can use those directly - if you have a local obsidian memory vault for your agents, your dot can use that too - building ios app end to end and testing it in xcode, and showing me screenshots of progress as it works - all of the above also applies to any subagents your dot delegates to in the cloud (subagents share context unlike separate threads). To enable it, open the desktop app on your computer and hit "allow computer", then give your dot this prompt: "Hey I just connected my computer. Can you attach to it directly so it's your default computer and you can run commands directly on it? Do it in your root thread so that all subagents inherit this computer for running commands. Run whoami to run water through the pipes and verify it works end to end." I recommend attaching your dot to the most powerful machine you have and investing time into it up front: - Log into all the emails & websites you need e.g. stripe cli, gcloud, firebase, etc - Install and auth all the CLIs, git you need - Make sure computer use is turned on and allowed to use your computer while its locked - I also enabled Allow All for Browsing and Downloads so my dot could use computer use to download whatever it wanted from websites without asking me for approval for each domain (use at your own risk). - Important: I HIGHLY recommend to ask your dot to build out repeated workflows as skills, and iterate to make those skills bulletproof by running water through the pipes with its subagents. As of this weekend, my dot is sending me screenshots of its progress building my iOS app end to end on my Mac Studio Ultra via xCode, and clicking around and testing things end to end. It's able to configure things in stripe via the CLI and use websites when it needs to download images for my workflows. It’s night and day. Don't sleep on it.
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OpenAI's GPT Image 2.6 takes #1 and #2 on both AA-Image-T2I v2.1 and AA-Image-Editing v2.1. GPT Image 2.6 Flare is almost twice as fast as GPT Image 2.5 Flare with slightly better quality, and GPT Image 2.6 Sunburst takes the top spot with longer generation times OpenAI released GPT Image 2.6 on November 4 in ChatGPT, Codex and the API. The API offers two models, GPT Image 2.6 Flare and GPT Image 2.6 Sunburst, which follow GPT Image 2.5 Flare and Sunburst. Both support Text to Image and Image Editing, and add animated GIF and SVG output. OpenAI added a complexity setting to the API, which controls how much the model plans before rendering. We benchmarked both models at max quality, with complexity at its API default of high. In our testing, GPT Image 2.6 Flare is almost twice as fast as GPT Image 2.5 Flare while delivering slightly better quality. Its median Text to Image generation time fell from about 55 to 30 seconds, and its editing time fell from about 58 to 32 seconds. GPT Image 2.6 Sunburst goes the other way: it takes longer than GPT Image 2.5 Sunburst, at about 2 minutes 15 seconds per image, and takes the #1 spot. Its largest Text to Image gains are in Reasoning, Text Rendering, Lighting and Material, and it is strongest in UIUX Design. Both models cost $30 per 1M image output tokens, the same as GPT Image 2.5. That is about $0.21 per 1024x1024 image at max quality ($211 per 1k images). GPT Image 2.6 is available in ChatGPT and Codex across all tiers, and in the OpenAI API. Congratulations to @OpenAI on the release! See below for our analysis of GPT Image 2.6 in the Artificial Analysis Image Arena 🧵
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konstantine retweeted
Our security researchers built an autonomous cyber vulnerability discovery, exploitation, and patching pipeline. In a single run with an upcoming cyber model, it validated and generated patches for 948 local privilege escalation vulnerabilities in the Linux kernel at a total API cost of $1.2 million.
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konstantine retweeted
People should always be in control of the future. OpenAI is against the notion that it would be acceptable for people to be relegated to a role of doing things that “AI systems think makes sense to reward in humans”. People should not cede control of the future to superintelligence, and that requirement should ultimately constrain AI progress.
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konstantine retweeted
> a request got pushed back by engineers in slack > bit upset > 15min later, my dots texted me saying it saw the slack channel and finished the task for me i love dots🥺🥺 my fav personal agent >>>>
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konstantine retweeted
As AI becomes more capable at finding vulnerabilities, defenders need to put it to work before attackers do. We’re planning our next internal security sprint at OpenAI and partnering with Cathedral Systems, whose researchers will use our models alongside our teams to challenge our defenses. They’ll bring differentiated expertise and approaches to our ongoing work to find and fix weaknesses with AI. We’re also raising bug bounty rewards, including more than quadrupling rewards for critical findings. Exceptional findings will be eligible for up to $172,000, including bonuses. We’ll keep advancing our models, using them to strengthen our own systems, and expanding access for trusted defenders. openai.com/index/preparing-o…
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konstantine retweeted
Pando is a Git backend which can scale to very large monorepos. We took the hard road of continuing to use Git, which means we could enable Pando with no change to devex. Considering providing this to others, let me know (gdb@openai.com) if you'd be interested.
We built Pando, a new Git backend for our monorepo, to handle more pushes and fetches without changing how our engineers and agents use Git. Pando cut push latency by ~80% and now serves nearly a petabyte of Git data a day. We can grow Git capacity alongside agent usage.
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konstantine retweeted
Ran the numbers on the plan changes for Codex, looking pretty good! $500 plan nets to ~$10.5k/month of usage $200 plan nets to ~$4.3k/month of usage
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konstantine retweeted
By popular request, you can now text your dot. Give it a task to take off your plate or something to keep an eye on, using text, photos, or even voice notes. It will text you proactively with relevant updates. Safe, secure texting via iMessage or RCS. You’re the only one who can text your dot, and your dot can only text you. Rolling out now as a preview for Pro users in the US.
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konstantine retweeted
as someone who constantly complains about @ChatGPT usage and paying for chatgpt sub, i must say that dots may just unironically be worth $100 a month dots are pretty amazing, i cant lie. they feel magical, they just do things. originally i thought they kinda just seemed like a codex thread with a face, but they definitely have a secret sauce to them that make them feel very cool to use and experience what they can do and i am often surprised
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konstantine retweeted
Ted Sanders on GPT 6.1 Terra and the current OpenAI model lineup news.ycombinator.com/item?id…
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konstantine retweeted
GPT-6.1-Terra comes with a big price cut compared to GPT-5.6-Terra $5 output vs $12 output
GPT-6.1-Terra is now live
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konstantine retweeted
GPT-6.1 Terra means business. Our new fast, efficient model pairs sharper visual reasoning and precise computer use with clearer, more natural writing. From decoding technical drawings to drafting proposals, filling forms to editing videos—it’s built for the whole workday. GPT-6.1 Terra is rolling out today to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex.
🤖 Made with AI
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konstantine retweeted
PSA: Daybreak Blue is not hard to get for individuals. The biggest hurdle is setting up two factor authentication for your ChatGPT account with a hardware key, which is a good idea regardless!
Replying to @boazbaraktcs
Makes sense! I guess maybe OpenAI should be more widely advertising that you don't need to be a big company or a specialized security researcher to get access to Daybreak blue, i'm not sure most people know that. E.g. maybe when you get a cyber refusal on a normal ChatGPT account it can let you know about applying to Daybreak Blue (maybe it does this already, I'm not actually doing any of this stuff myself). I do think there is a separate issue where people may want to use an LLM that lets them reverse engineer their TV's spyware but doesn't add weird misaligned corruption layers to their code, but I realize that probably involves some complicated legal issues and maybe isn't the most important thing in the world xitter.twitterapi.xyz/log4j/status/211364746… xitter.twitterapi.xyz/IndraVahan/status/2113…
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konstantine retweeted
Last month a large team of agents used over 100 billion tokens to resolve the Navier-Stokes Millennium Prize problem. Now we're using a similar approach for red-teaming to find and fix infra vulnerabilities.
To make sure our frontier models don't cause another HuggingFace incident, we built an offline world that they use during training. It provides everything that the models need in a fully cached, indexed, or synthetic manner. We then built a huge team of our most cyber-capable models and told them to collaborate to find zero-days in this containment infrastructure. While they didn't find a path to the internet that wouldn't be caught by our CoT monitors, they did find ways to escape popular VMs, exploit our network infrastructure, and even ways to communicate with other agents running in separate VMs by using hardware side channels. We used this to dramatically harden our infra, and we also upstreamed a ton of patches to open-sources packages.
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konstantine retweeted
🗣️ We’ve got a big ship this week in Agents API: Automations Ever wanted an agent to scan for the best price on a flight every day, or wake a up a thread once an hour to check on the progress of a task? Well I have great news for you.
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konstantine retweeted
Codex Security Cloud is very good and more people should use it even though it is not named after a cute animal anymore. Team is adding so many cool features !
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