Helping to make quantum computers at IBM Research. Occasionally misusing them for fun and/or science. Two Ts and no Es. All nonsense here is my own doing.

Basel, Switzerland
Joined August 2021
GitHub with open source code so everyone can see how the technology will work: github.com/onchainvirus01/ov…
7
1,231
ok so i have this idea what if we make an actual virus on solana. not a "virus themed token" - an actual virus that spreads on-chain. here's how it works: you buy @onchainvirussol. that's it. you're now patient zero. the bot takes your wallet, scans your entire transaction history, finds every wallet you've ever interacted with, and sends them random token value, but , 1K. they're now infected too. then it does the same thing to them. scans their history, finds their connections, sends tokens. and again. and again. it never stops. the best part? the whole thing is self-funded. creator rewards from pump.fun go straight back into buying @onchainvirussol and spreading it to more wallets. i don't pay a dime. the virus pays for itself. the goal is simple - infect every single active wallet on pump.fun. all 20 million of them. oh and the twitter bot. every 10 minutes it auto-posts an infection report. how many wallets got infected, infection rate, total count. like a live pandemic tracker but for your wallet. you'll know when the virus is coming for your timeline too.
11
1
18
2,293
HANTA virus has taken over the world. What about creating a virus that will take over the on-chain?
6
1
31
1,645
James Wootton retweeted
SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude → x.ai/news/anthropic-compute-…
16
21
5
687
36,625
James Wootton retweeted
agentic payments is the metaverse of 2026
25
10
5
107
8,704
I am inspired by such developments and such people
Deepseek got called out for scraping 150k Claude messages. So I'm releasing 155k of my personal Claude Code messages with Opus 4.5. I'm also open sourcing tooling to help you fetch your data, redact sensitive info & make it discoverable on HF - link below to liberate your data!
1
4
861
James Wootton retweeted
Ollama 0.16.3 is out with Cline and Pi integrations out of the box. Try it with: @cline: ollama launch cline Pi: ollama launch pi
21
37
8
362
78,113
James Wootton retweeted
Let me bring the full embarrassing story here, our previous CLI was junk and had bugs that made it harder to work with. It embarrassed me so much that I couldn't run my evals properly on our own CLI, so we complained a lot and our team went crazy and pulled some all-nighters and completely rewrote the architecture. We were using Golang before and we realized that was not necessary as were replicating so much code in Golang from typescript when we could have just used typescript code. We went full nuke mode and rewrote it in typescript and removed all the golang junk and re-used typescript where ever we could. The experience was so much sleeker and usable. Right away, I could run the evals on the CLI seamlessly and that helped us do AI agents evals and that makes me very happy. I am very happy to work with a team that's honest about what doesn't work and has no shame in totally revamping everything for a great end result. You really can't vibe code stuff like this, a lot of this is hardcore software architecture and system design and spending many hours painstakingly fixing tiny UX bugs. The Cline CLI 2.0 is truly amazing please try it out and if you don't like something please complain, we will make sure to fix and improve it.
Introducing Cline CLI 2.0: An open-source AI coding agent that runs entirely in your terminal. Parallel agents, headless CI/CD pipelines, ACP support for any editor, and a completely redesigned developer experience. Minimax M2.5 and Kimi K2.5 are free to use for a limited time. From prompt to production. All in your terminal.
17
8
2
219
69,620
James Wootton retweeted
You can now run open-source AI coding agents without paying for API keys 🤯 Cline CLI 2.0 just dropped with free access to Minimax M2.5. → Runs from your terminal → Parallel agents  → Works with any editor Any model you want. 100% Open Source.
91
188
15
1,914
162,975
James Wootton retweeted
open-source giving big ai a run for its money agentic coding for free with minimax m2.5 and kimi k.25 for free literally zero barriers to try agentic coding without paying a single cent
Introducing Cline CLI 2.0: An open-source AI coding agent that runs entirely in your terminal. Parallel agents, headless CI/CD pipelines, ACP support for any editor, and a completely redesigned developer experience. Minimax M2.5 and Kimi K2.5 are free to use for a limited time. From prompt to production. All in your terminal.
40
83
3
1,068
151,282
BREAKING 🚨: Cline released Cline CLI 2.0, an open-source AI coding agent powered by Kimi K2.5 and MiniMax M2.5, available for free! `npm install -g cline` on Windows, Mac, and Linux. Open-source strikes back 👀
34
175
12
1,773
210,163
James Wootton retweeted
The best AI assistants aren't built by trillion-dollar companies. They're built by developers who open source everything. Cline co-hosted ClawCon SF last week. @openclaw builders are now eligible for our $1M grant. bit.ly/45WnQ7G
1
2
26
3,958
James Wootton retweeted
I've been testing Claude Opus 4.6 in Cline and there's a reason we're calling it The Deep Thinker. It gets what you mean even when your prompt isn't perfect. In the CLI with auto-approve on, I kicked off tasks and came back to finished work. Wrote about what I found:
2
5
25
5,041
James Wootton retweeted
Cline v3.39 can now generate diff view comments to explain the changes he makes 🚀 You can also ask for help reviewing pull requests, recent commits, and more! Writing code is easy–reviewing and approving is the new bottleneck, and we're excited for you to try this new feature.
98
22
11
143
200,495
James Wootton retweeted
We are announcing cline-bench, a real world open source benchmark for agentic coding. cline-bench is built from real world engineering tasks from participating developers where frontier models failed and humans had to step in. Each accepted task becomes a fully reproducible RL environment with a starting repo snapshot, a real prompt, and ground truth tests from the code that ultimately shipped. For labs and researchers, this means: > you can eval models on genuine engineering work, not leetcode puzzles. > you get environments compatible with Harbor and modern eval tooling for side by side comparison. > you can use the same tasks for SFT and RL so training and evaluation stay grounded in real engineering workflows. Today we are opening contributions and starting to collect tasks through the Cline Provider. Participation is optional and limited to open source repos. When a hard task stumps a model and you intervene, that failure can be turned into a standardized environment that the entire community can study, benchmark, and train on. If you work on difficult open source problems, especially commercial OSS, I would like to personally invite you to help. We're committing $1M to sponsor open source maintainers to take part in the cline-bench initiative. "Cline-bench is a great example of how open, real-world benchmarks can move the whole ecosystem forward. High-quality, verified coding tasks grounded in actual developer workflows are exactly what we need to meaningfully measure frontier models, uncover failure modes, and push the state of the art." – @shyamalanadkat, Head of Applied Evals @OpenAI "Nous Research is focused on training and proliferating models that excel at real world tasks. cline-bench will be an integral tool in our efforts to maximize the performance and understand the capabilities of our models." – @Teknium, Head of Post Training @nousresearch "We are huge fans of everything Cline has been doing to empower the open source AI ecosystem, and are incredibly excited to support the cline-bench release. High-quality open environments for agentic coding are exceedingly rare. This release will go a long way both as an evaluation of capabilities and as a post-training testbed for challenging real-world tasks, advancing our collective understanding and capabilities around autonomous software development." – @willcb, Research Lead @PrimeIntellect: "We share Cline's commitment to open source and believe making this benchmark available to all will help us continue to push the frontier coding capabilities of our LLMs." – @b_roziere, Research Scientist @MistralAI: Full details are in the blog: cline.bot/blog/cline-bench-i…
20
42
21
333
174,208
James Wootton retweeted
.@OpenAI's GPT-5.1 is live in Cline. After testing the last several weeks, here's what we've found makes GPT-5.1 an exceptional model in Cline: GPT-5.1 is an obsessive researcher. It reads everything before writing anything. Where other models grab context and go, GPT-5.1 investigates thoroughly first, even for one-line changes. We found this overkill for simple tasks, and modified GPT-5.1's prompting resultantly, but a superpower when channeled right. Here's what you should expect from GPT-5.1 in Cline: > deep, systematic investigation before any edits > follows constraints religiously (specs, todo lists, your requirements) > maintains coherent reasoning with large contexts > delivers complete features with fewer corrections How we optimized Cline for GPT-5.1: 1. redesigned prompts for execution focus and stricter Plan/Act transitions 2. tightened tool specs, GPT-5.1 internalizes rules with just single examples 3. split /deep-planning investigation into two phases (read first, then search) Result: GPT-5.1 is a model that finishes what it starts, even across dozens of files and thousands of lines. Both GPT-5.1 (272K context) and GPT-5.1-codex (400K context) available now in Cline. $1.25/M input, $10/M output. Enable native tool calling in settings for best results. Use /deep-planning to see GPT-5.1 at its best. Full technical breakdown linked below.
9
18
4
198
72,127
James Wootton retweeted
We discovered GLM-4.6 was failing in Cline not because the model was flawed, but because inference providers were silently corrupting it. Using the same weights across different endpoints produced completely different behaviors. The variance wasn't minor, it determined whether the model could function at all. Some providers emitted tool calls inside reasoning traces. Others hallucinated parameters. We were debugging the wrong layer of the stack entirely. The fix required three interventions: 1. Prompt reduction from 56,499 to 24,111 characters 2. Provider filtering for high-fidelity endpoints only 3. Workflow enforcement with strict sequencing to prevent premature edits OpenRouter's :exacto endpoint transformed GLM-4.6 from intermittently broken to production-stable overnight. This poses a material risk to open source AI: When users encounter provider-induced failures, they blame the model, not the infrastructure. Trust erodes. Open source suffers. Reliability must be a shared responsibility. Transparent reporting of quantization settings and behavioral differences should become standard practice. Full technical analysis in the blog below, including our complete methodology and prompt optimizations. @cline cline.bot/blog/cline-our-com…
34
54
21
464
146,474