
Field CTO and Grok Bot team @SpaceXSI 🇦🇷 in SF
San Francisco, CA
Joined April 2009
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Since joining Cursor I’ve been living on Grok Bot. Nothing has hit me like this since we first started chatting with LLMs.
I’ve stopped opening most apps. The best UI is messaging teammates. You create Bots just by chatting with them. They learn from your feedback, they coordinate, and what used to take a pile of prompts is now one ask. The work actually moves.
I’ve seen others try to solve this, and I was always disappointed. What’s different about Grok Bot is the first principles design: dead simple on the surface, serious cloud infrastructure underneath. That's what finally makes the promise of a personal AI assistant real.
Once you try it, you’ll never go back.
Nico Arkhipenko retweeted
What's new in Grok Bot
0:19 Team bots - create bots shared with your team members
1:10 Finances - search and manage your finances with @plaid
1:32 Voice calls - @bot can search chats during calls and gracefully handles interruptions
Like this for a special bot animation on @X!
What's new in Grok Bot - Sept 30, 2026
What's new in Grok Bot - Sept 30, 2026
SpaceX doing what it does best: build at epic scale
SpaceX's supercomputing facilities in the Mid-South rank among the world’s most advanced AI training clusters, spanning over 2.5 million feet, millions of GPUs, and over two gigawatts of compute → spacex.com/Mid-South
here's how i shipped 2,500 PRs last month to production
this was originally supposed to be for Cursor Compile in London. i couldn't make it since i was livestreaming for Grok @Bot Galaxy so i'm making it available for free here on X! watch it on 2x speed, i talk slowly
Nico Arkhipenko retweeted
Grok Bot is now available to everyone with a standard Grok or Cursor subscription. It's grown faster than any product we've seen.
It's been particularly exciting to see the range of jobs people delegate to Grok Bot, from running small e-commerce businesses (including support, advertising, inventory, finance), coordinating customer events (directly pinging and working with dozens of human coworkers), testing production software, and completing large, mundane parts of users' day-to-day work.
Nico Arkhipenko retweeted
BREAKING: I'm partnering with @spacexai to give all Lenny's Newsletter annual subscribers a free month of Grok Bot 💥 (included in Cursor Pro+)
This is the first time @spacexai has offered a deal like this to anyone, and I'm thrilled to make this amazing product accessible to more people.
If you're already a paid subscriber, grab your deal here (search for "Grok"): lennysproductpass.com/
If not, subscribe here and look for the Product Pass link in your welcome email: lennysnewsletter.com/subscri…
I've been hooked on Grok @Bot since before it came out, and my usage has only gone up. Seriously, it's really really good.
Some of my favorite use cases right now:
+ After I record a podcast, taking a first pass at key takeaways and promotion ideas
+ Automatically adding school events to the calendar
+ Triaging support emails (saves me hours!)
+ Suggesting things I can do to be happier by analyzing my emails, calendar, and Slack
+ Landing me great IMAX Odyssey tickets 🙌
Grab your free month of Grok Bot here (search for Grok): lennysproductpass.com/
Nico Arkhipenko retweeted
We're opening up Grok Bot access to a small set of enterprises this weekend.
Reply if you'd like for us to swing by your office in San Francisco and onboard your team tomorrow or Monday.
Coding can't be solved while bugs exist. Every bug is a counterexample: code that doesn't do what you meant, and doing what you meant is the job. Agents solved code generation. The gap between intent and behavior is wide open, and closing it is what @poteto means by engineering.
The code grows on its own now. The scaffolding is the job.
if your definition of coding is just the act of typing code, then yes, it's solved. agents can type code faster than anyone can.
but i think most of us think of coding as the act of solving problems with code. in that definition, coding is definitely not solved. agents can generate code quickly and build whatever you want, but without the right constraints, they end up causing more problems than they solve.
i think of this like my gardening analogy. agents are like magic beans that grow in any condition, but in wild and unpredictable ways. if you put the right scaffolding around them however, they can grow into whatever shape you want.
you still want humans thoughtfully and intentionally steering this outcome. we have a name for them: engineers. agents have greatly lowered the barrier to entry to doing engineering. what was once the domain of those who understood syntax and logic is now accessible to anyone who can explain their ideas. english is a new programming language for engineering outcomes with agents.
now, even ordinary people can build impressive software. and the good ones will learn engineering through first principles. as someone who is a self-taught programmer (i first learned how to code through Excel macros!), this is incredibly exciting to me, and i can't wait to see what everyone learns and builds in this new world.
let a thousand gardens bloom!
worktrees are dead. cloud agents are the future.
they've allowed me to massively orchestrate swarms of agents, all with their own computer. it's how i've been able to trust that my agents are actually doing what i want them to, because they can run their code, take videos and screenshots, and interact with UIs the same way users do.
cloud agents + pstack is the reason why i'm able to ship thousands of PRs a month with high confidence. spawn a verification /swarm of Grok 4.6 agents to "fuzz" every stack of PRs and you'll be able to let your agents merge their own work while you sleep!
although i miss writing the code myself, the combination of using @bot, @cursor_ai, and the speed, intelligence, and efficiency of Grok 4.6 makes building so much fun. the future of coding is really starting to look more like playing starcraft!
Nico Arkhipenko retweeted
I’ve been using it for ~2 hours and I’m absolutely blown away at how I could automate a bunch of my workflows. Cursor team built a way for “normies” to automate stuff. Feels like an OpenClaw 2.0 moment.
(Zero affiliation, I upgraded to Ultra to use it and absolutely worth it.)
excited to share more about my journey building pstack, shipping 2,000 PRs a month, and the client framework powering @bot tomorrow! see you there
maven.com/p/e23d9c/how-curso…
Nico Arkhipenko retweeted
We’re making great progress on improving the writing quality and design taste of Grok.
Still a lot more to do, but I’m encouraged by how quickly we’re iterating. Please let me know any feedback.
Grok 4.6 soon!
Nico Arkhipenko retweeted
What feature or capability you want the most out of @cursor_ai right now?
cloud share doubled on cursor last few weeks and it will only accelerate from here
team's working hard to keep infra fast, cheap and reliable
Try Grok
kimi k3 vs gpt 5.6 sol vs fable 5 vs grok 4.5
@Kimi_Moonshot just dropped kimi k3 – a 2.8t param native multimodal model, the first open 3t-class release. key facts:
• 1m token context. stable latentmoe activating 16 of 896 experts, built on kimi delta attention (kda) and attention residuals
• quantization-aware training from the sft stage onward – mxfp4 weights, mxfp8 activations. moonshot claims ~2.5x scaling efficiency over k2
• max thinking effort by default. low- and high-effort modes are "coming in updates" – there is no way to turn the thinking down today, and you feel it in every run
• pricing: $0.30/mtok cache-hit input, $3.00/mtok cache-miss, $15.00/mtok output. claims >90% cache hit rate on coding workloads
• benchmarks: swe marathon 42.0 (1st – fable 5: 35.0, sol: 39.0, opus 4.8: 40.0), terminal bench 2.1 88.3, browsecomp 91.2 (1st), program bench 77.8 (1st), gpqa-diamond 93.5. loses frontierswe 81.2 vs fable's 86.6, and deepswe 67.5 vs sol's 73.0
our test – 3 prompts, single-file html, @threejs, fully procedural, no assets:
1. photorealistic european roulette wheel – 37 pockets in the real sequence, mahogany clearcoat bowl, chrome turret, diamond deflectors, flick-to-spin, ball that spirals inward and settles on a mathematically real number
2. las vegas slot machine – 3 reels behind transmissive glass, drag the chrome lever to play, mechanical odometer counters modelled in 3d, coin physics on win
3. full pinball table – 6.5° tilted playfield, flipper impulse physics, spline ramps, drop targets, 6 bumpers, mechanical score reels in the backbox
we ran the test on @aimlapi platform
results:
- cost
#1 grok 4.5 – $0.30
#2 kimi k3 – $0.71
#3 gpt 5.6 sol – $2.05
#4 fable 5 – $7.69
- tokens
#1 grok 4.5 – 34,241
#2 gpt 5.6 sol – 51,748
#3 fable 5 – 144,126
#4 kimi k3 – 157,999
- lines of code
#1 gpt 5.6 sol – 3,054
#2 grok 4.5 – 3,047
#3 kimi k3 – 2,255
#4 fable 5 – 1,950
- generation time
#1 grok 4.5 – 5.1 min
#2 gpt 5.6 sol – 22.0 min
#3 fable 5 – 31.5 min
#4 kimi k3 – 75.6 min
observations:
• kimi k3 is cheap and it is slow. 75.6 minutes across three prompts against grok's 5.1. it is 2.4x grok's price and 15x grok's wall clock. the roulette took 15 min, the slot 18, the pinball 42
• it failed 2 of 3. only the roulette works. the slot machine has reel cutouts on both faces of the cabinet and the symbols face backwards – you can only read your spin by walking around to the rear of the machine. the pinball table stands vertically on its edge with the legs floating detached beside it.
• 81% of kimi's output tokens are reasoning, not code. grok: 22%. you are not paying for a bigger answer, you are paying for a longer argument with itself
• price per 100 shipped lines – grok $0.010, kimi $0.031, sol $0.067, fable $0.394. a 39x spread for the same three files
kimi k3's code quality:
upsides:
• the roulette is genuinely good – procedural wood grain with real specular breakup, correct european sequence (0-32-15-19-4...), chrome turret, diamond deflectors, clean console
• the pinball artwork is the best in the test – a synthwave "nova strike / deep space" field with six individually coloured neon bumper rings, a retro sun on a grid horizon, a nova burst, and a scoring legend printed on the apron. no other model printed the rules on the machine. it is a beautiful texture on a broken object
• physics reasoning is real – it derived a 480hz substep for the collider, worked out ball settle conditions and termination guarantees, and checked every ramp exit vector by hand before writing any of it
• it is the only model that saw the importmap trap coming. sol shipped a blank white page twice because three.js addons import the bare specifier 'three' and die without an import map
downsides:
• it dodged that trap on the slot by loading three.js r128 through classic script tags – a 2021 build with no working transmission. its slot glass rendered fully opaque and buried all three reels behind a white pane. the code asks for transmission: 0.93, ior: 1.5 – correct, and silently ignored by a renderer that predates the feature
• after 42 minutes and 212k characters of reasoning, the pinball cabinet is not assembled. the table stands vertically on its edge like a wardrobe – the prompt asked for 6.5° from horizontal, it delivered 90°. the legs float detached in the void beside it. head-on it photographs beautifully; orbit ten degrees and it is a painted slab with four chrome rods hovering nearby
• the playfield z-fights with the glass – hard black banding across the whole field as soon as you pull the camera back
a note on the pinball, in fairness to kimi: nobody passed it. every model shipped broken ball physics and controls you cannot trust. it is the hardest prompt we have run and the whole field failed it, each in its own way
kimi k3 reasons better than anything else here and it shows exactly where reasoning pays – physics constants, sequences, edge cases, traps the others walked into
follow @thehypedotnews for 24/7 ai news, analysis and breakdowns
Nico Arkhipenko retweeted
Okay, I’ll just come out and say it.
Seeing the benchmarks so far on Grok 4.5, we could lose access to all Chinese models tonight, and I wouldn’t even notice.
This is the tipping point, the best cost-to-performance is now back home 🇺🇸






















