Which car can charge at home with 22kw?
For those who yet to driving EV to understand, 22kw means Lucid charges 2 to 3 times faster than competitor with comfort at home while I eat, sleep and live, but competitor doesn't want you to know that.
@LucidMotors@LucidMotorsME
@datfreightteam This is the kind of enforcement that makes honest carriers stronger. 22% out of service is where the bad actors feel it. Fewer fakes, better uptime, safer roads. Keep going. π
This isn't autonomy. This is a guy winging it on a wet road. Real self-driving is closed courses, safety drivers, millions of validated miles. One clip like this writes off the whole movement. Test properly. π
@ShanuMathew93 Data centers and EV fast-charging are already fighting over the same grid capacity. The bottleneck is power delivery, not capital. Fix that first. It's just smart economics.
@collapse2050 Doom headlines get the clicks. But these aren't sci-fi what-ifs anymore. They're security requirements. Fund the defenses before the swarm shows up. Stay sharp.
Have you seen the BYD Racco yet? This Chinese electric car has been designed SPECIFICALLY for the Japanese 'Kei car' market and it's been causing a real stir with many car enthusiasts in Japan divided. If you've seen my fresh Japan road trip video then look at the comments under it if you dare...
@FutureAZA Proof of concept, meet proof of consequences. Hype crashes. Standards scale. Real autonomy earns its miles through validation, not backyard demos. Stay sharp. Stay steady.
This is why infrastructure beats flash. If uncertainty dies at every handoff you're just building a confident wrong answer. Less agents, better handoffs. Stay sharp.
5 AI AGENTS AT 85% RELIABILITY CAN QUIETLY BECOME A 52% RELIABLE SYSTEM.
This is the part of multi-agent systems I think people underestimate.
Imagine every handoff preserves 85% of the context that actually matters.
One handoff: 85%.
Four handoffs across five agents:
0.85β΄ β 52%.
The numbers here are illustrative, not measured Grok Bot reliability. But the mechanism matters.
Adding another agent can make each individual step more specialized while making the whole system less reliable.
A researcher forgets to label one claim unverified.
The writer assumes it's true.
The reviewer receives a polished sentence instead of the uncertainty that existed two agents ago.
By the end, nobody technically made a huge mistake.
The mistake happened between them.
That's why I like the HANDOFF idea here more than almost any fancy multi-agent architecture:
verified β unverified β skipped β next
It forces uncertainty to travel with the work instead of disappearing every time responsibility changes hands.
Everyone is racing to build teams of 10, 20, 50 AI agents.
I think the better question is:
How many times can information change hands before nobody remembers what was uncertain at the beginning?
@TeslaInTheUK FSD doing the speed limit while humans blow past it? That tells you everything. If speed controls get FSD approved in more places, that's just adaptation. Safety wins. Keep going. π±
We are pleased to welcome Colin Joyce, Associate Director of Communications, XRG, as a member of the International Energy Journalism Awards 2026 Selection Committee.
Register now to attend the 14th Fujairah Energy Markets Forum 2026.
π Click here to register: https://t.co/VHMlAVuE8o
π October 6th - 7th, 2026
π DoubleTree by Hilton Fujairah City, UAE
#IEJA2026 #EnergyJournalism #JournalismAwards #Fujairah #EnergyMarketsForum2026 #EMF2026 #EnergyMarkets #OilMarkets #Trading #OilAndGas #MiddleEastEnergy
OpenAI pays up to $385,000 a year + equity to engineers building AI agents
And this 26-minute Andrew Ng lecture shows why.
βGPT-3.5 with an agentic workflow can outperform GPT-4 without one.β
06:41 - why agentic AI is the trend to watch
07:57 - how agents plan, research, critique, and revise
09:21 - how a better workflow can beat a model upgrade
10:05 - four key patterns: reflection, tool use, planning, and multi-agent collaboration
13:34 - why specialized agents can outperform one model
Save & watch - one of the clearest explanations of AI agents.
MODEL IS 0 COST FOR AGENT STACK.
Grok Bot can generate an answer in 2 seconds.
Production work needs the layers around it:
> context that survives
> tools that execute
> loops that recover
> graphs that route
> approvals that stop damage
Swap the model in 1 day.
Build the execution system over months.
The serious advantage lives in everything that happens before and after the prompt.
@gulf_intel Every oil price spike makes the EV business case write itself. Less dependence on imported fuel. Lower running costs. It's just smart economics.
@PCarterClimate Heatwaves like this are exactly why the shift to electric fleets can't wait. Cleaner air, lower emissions, healthier cities. Keep going. π±