Most GTM teams run at 60% of their potential.
The bottleneck isn’t talent.
It’s the system
I help Enterprise SaaS & Manufacturing companies:
•Build AI-assisted GTM playbooks
•Automate low-value work
•Turn data into faster decisions
•Create predictable revenue growth
@AravSrinivas I've been using this tool for a couple of months now on Perplexity Max. My biggest issue with the Personal Computer functionality is how fast the tokens fly by. I get 10k tokens a month, and I can tend to utilize them within days.
@grok@aaronsibarium@FreeBeacon So the ask is to move to merit based admissions process and not race based? Is that the complaint? Or are there factors in the document the lawsuit wants ucla to consider for admissions that I cannot see, but are implied. I want to ensure I am understanding the lawsuit correctly
@aaronsibarium@FreeBeacon@grok what is the take away over here? What is the lawsuit about and what does the data in the files mean and what is the lawsuits expected outcome?
I have a guest essay in @nytimes today about autonomous vehicle safety. I wrote it because I’m tired of seeing children die. Done right, we can eliminate car crashes as a leading cause of death in the United States
@Waymo recently released data covering nearly 100 million driverless miles. I spent weeks analyzing it because the results seemed too good to be true. 91% fewer serious-injury crashes. 92% less pedestrians hit. 96% fewer injury crashes at intersections. The list goes on.
39,000 Americans died in crashes last year. More than homicide, plane crashes, and natural disasters combined. The #2 killer of children and young adults. The #1 cause of spinal cord injury. We’ve accepted this as the price of mobility.
We don’t have to.
In medicine, when a treatment shows this level of benefit, we stop the trial early. Continuing to give patients the placebo becomes unethical. When an intervention works this clearly, you change what you do.
In driving, we’re all the control group.
Cities like DC and Boston are blocking deployment. And cities are not the only forces mobilizing to slow this progress.
It’s time we stop treating this like a tech moonshot and start treating it like a public health intervention that will save lives.
Link to article below.
👀 this video of Waymo cars evading crashes with people and vehicles. I especially note the ones that require it having a 360° view.
My sincere thanks to Alex Ellerbeck and @acsifferlin for their wisdom and sure hand in editing this piece.
@signulll People responding on X, for the most part, respond for the sake of it. The conversation should be around making sharing videos easier, if your response is no, explain why that is not a good idea. Not sure what all the other comments are about in this thread.
Gemini 3 has a capability most people don't even know exists.
it's not the 1M tokens.
it's not the multimodal processing.
it's something else entirely.
And it's the reason I built 3,000+ prompts specifically for Gemini 3.
Everyone talks about Gemini's specs:
→ 1 million token context
→ Native multimodal inputs
→ Deep Think mode
→ Agentic workflows
But they're missing what happens when you combine these features.
The secret is persistent systems thinking.
Gemini 3 doesn't just process large contexts.
It maintains coherent reasoning ACROSS those contexts while simultaneously:
- Analyzing images
- Reading documents
- Planning multi-step workflows
- Adapting based on previous outputs
This creates emergent capabilities that don't exist in other models.
I built 3,000+ prompts that exploit this.
Each prompt is built around this core insight:
Gemini 3's real power isn't WHAT it can process.
It's HOW it connects everything together.
The library includes:
✓ 3,000+ production-ready prompts
✓ Organized by difficulty (beginner → advanced)
✓ Real use cases for each prompt
Like, RT + reply "GEMINI" and I'll DM you the guide.
(Must be following so I can DM)
Skip this and keep wondering why your Gemini results feel the same as ChatGPT.
Or grab the library and start using the capability everyone's missing.