This is super cool... who has tried this out and what was the result?
Giving Grok Bot a Phone
00:19 Installing Dialbot
00:54 Bland voice setup
02:39 Why use a calling agent?
03:20 Live demo call
04:50 Reviewing the transcript and cost
05:38 Chaining bots
@Bot can do anything you can - this is one way to make calls
I gave Grok Bot a Phone
Give your Grok Bot a phone number with Grok + Bland
cameron peron retweeted
Getting Started with Grok Bot
01:00 What is @Bot?
05:26 Anatomy of a bot
08:49 3 ways to run
12:04 Multi-bot chains
16:06 Workflow 1: X followers to @Notion
20:29 Workflow 2: Personal software
23:08 Workflow 3: Coding with @cursor_ai
26:44 Workflow 4: Search
28:27 Recap
Getting Started with Grok Bot
A walkthrough of Grok Bot, an agent that runs on a persistent Linux VM in the cloud and can use a computer the same way you do.
Amazing time learning and hanging out at VentureBeat Transform this week.
With token usage, open vs frontier models, and benchmarks big topics for discussion - I've learned that these are not binary decisions, but based on use cases.
It’s really simple:
1/ Run the hardest and most mission critical workloads on your frontier labs of choice
2/ Keep proprietary data on open source models in cloud / on-premises data center
3/ Enable your team experiment with everything, with capped budgets and low risk data, share the results, and innovate.
Big thanks to @mmarshall for the invite!
High tToken usage > funds open source > scales on hybird cloud - on-premise data center
We saw a similar pattern in the 2010s starting with Oracale costs driving open source databases like Redis and MongoDB on-prem, and then to AWS / cloud of choice for scale and opex
i've cancelled my ChatGPT & Claude Pro subscriptions for 2 months now because it's completely replaced by my local SOTA AI agent stack via @NousResearch's Hermes Agent & @AskVenice's AI inference endpoints for effectively zero cost.
here's how i did it and why it actually matters.
stake base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf, lock it. Mint and stake base:0xf4d97f2da56e8c3098f3a8d538db630a2606a024.
1 base:0xf4d97f2da56e8c3098f3a8d538db630a2606a024 = $1 of daily refreshing compute credit on Venice's inference API.
the VVV backing your DIEM still earns ~80% of normal staking yield. at current rates that's ~7% APY (8.86*0.8). so your principal earns yield while simultaneously generating daily API credits.
your VVV isn't spent. it's parked, earning, and producing compute as a byproduct.
with my current stack, the amount of credits i get everyday usually sustains me for day to day tasks (research, automation, QnA, productivity, etc). mid tier LLMs like the Xiaomi Mimo V2.5/Minimax M3 are more than sufficient for these workflows. for higher complexity/critical tasks, i'll delegate to GLM-5.2 with max reasoning.
and if i overshoot on a heavy day, i'll simply sell the daily staking rewards from my staked base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf for USDC, buy Venice credits to fund my workflow.
now here's why this beats a ChatGPT/Claude subscription for my use case. it's not exactly about raw model intelligence. closed models still edge ahead on benchmarks. it's about architecture.
my agent has local filesystem access. it reads my Obsidian, writes files, runs scripts. it controls my personal browser, executes terminal commands, manages my calendar. it maintains persistent memory across sessions, building context and understanding of me over time.
and because of these, the agent's competency to help ME compounds. knowing ME is the key here. this is impossible without privacy. well unless you want give out all your data to big tech that they'll use to sell you ads/sell them to the government later on.
Venice's inference endpoints are private. meaning i'm able to feed it sensitive data without sending it through frontier labs' data-harvesting servers. no cloud assistant can currently do this. the moat isn't the model, it's the system and privacy around it.
furthermore ICYMI, the capability gap between open sourced SOTA models like GLM-5.2/Kimi K2.7 and GPT/Claude has closed enough that it no longer matters for majority tasks. maybe 3-6 months ago it did? not anymore.
some caveats:
1. your base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf is locked, illiquid during the lock period (7 days unstaking)
2. this isn't free money; it's capital deployed. base:0xf4d97f2da56e8c3098f3a8d538db630a2606a024 credit rates and staking yields are variable, not guaranteed. but the amount of compute you receive might increase if you re-mint base:0xf4d97f2da56e8c3098f3a8d538db630a2606a024 from your locked base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf at a more favorable mint rate
3. open models still lag slightly on edge case reasoning and extremely complex tasks. if your workload is "solve novel math proofs", this probably isn't your stack.
4. base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf price exposure is real. if VVV tanks, your principal tanks with it. but the amount of compute you receive remains.
at the end of the day, this isn't a risk-free hack. it's a bet that open sourced AI capabilities keeps getting cheaper and better, and that an agent with local access + private inference is worth more than a smarter model in a sandbox.
for base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf and base:0xf4d97f2da56e8c3098f3a8d538db630a2606a024, this means the compute credits you own today could buy you BETTER and MORE intelligence over time as models improve.
so far, that bet has been paying off for early investors.
the deeper i go, the more i realize the moat was never the model. it was the privacy that lets the system compound.
Venice is one of the most important companies building towards that future right now.
i care about privacy, because that means freedom to me. the freedom to think, to create, and to operate at an elite level with frontier AI. that's why i feel the need to back this team.
what about you?
For small business in California, the high operating costs have made it nearly impossible to thrive, provide quality customer services, and enable their staff with a livelihood
California sits at the intersection of two extremes.
On one end is a population of extremely smart, capable Californians that have helped build the 4th largest economy in the world.
At the other end sits the same extremely smart, capable population but who have turned their brains off and have elected, year after year for decades, a group of incompetent and corrupt politicians that have hijacked the governance of the state.
In lockstep, the finances, pensions and livability of California erodes every day: the fire hydrants are empty, the drug addicts get free drugs, the alcoholics get free beer, the criminals get “get out of jail free” cards, the average grades of students are falling off a cliff, you can’t build homes for normal people but you can pretend to build them for the homeless and get taxpayers to foot the bill, you can’t improve health care subsidies unless they are for illegal immigrants, you don’t want to tell the truth about exploding pensions so you change how you report about them to hide the time bomb. And on and on.
The everyday citizens that make California great needs to wake up to the fact that their apathy has created this chaos and we must change direction to undo it.
cameron peron retweeted
Tell me who your friends are, and I'll tell you how you’ll end up.
Assad has joined Moscow’s club of former dictators, where Ukraine’s ex-president Viktor Yanukovych already has a seat
cameron peron retweeted
How Does Kettlebell Sport Technique Differ from CrossFit? 🤔💪
Denis explores the distinct techniques of kettlebell sport compared to CrossFit, focusing on the unique rules and movements that define each discipline.
cameron peron retweeted
Absolutely true
🇺🇸 STEVE JOBS: THE BEST MANAGERS ARE GREAT CONTRIBUTORS... WHO NEVER WANTED TO BE MANAGERS
"At Apple, we thought hiring professional managers would make us a big company.
It didn’t work—most were bozos who could manage but couldn’t do anything else.
The best managers?
Great individual contributors who never wanted the job but took it because they knew no one else could do it as well."
Source: BusinessX on IG
cameron peron retweeted
This is Kevin Kelly.
The close friend Tim Ferriss goes to for advice.
He taught him a philosophy for life that made Tim stop giving a f*ck.
Here's the philosophy:
cameron peron retweeted
Jeff Bezos said:
“There is no way to write a six-page narratively structured memo and not have clear thinking.”
Here’s the writing framework Bezos uses (that you can too):
Nice take neural networks trained on presidential candidates
#artificailintelligence #machineleaning lnkd.in/gngpU3h
Great to see one of our #machineleaning heroes at AWS and his students deliver such a good run at the AWS summit in Hong Kong. lnkd.in/gfujk7u


















