I used to use @Grammarly all the time.
With @GeminiApp integrated into my workspace, I find myself not using @Grammarly for a while.
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Bibhrajit Halder
1.2K posts
Bibhrajit Halder
@Bibhra
Founder of SafeAI, a leader in autonomous in the heavy industry. Now looking at the intersection of AI and the physical world—think robotics, drones ..
Sunnyvale, CA Katılım Mart 2009
313 Takip Edilen235 Takipçiler
The future where Work is optional is a great future. It’s like singing is optional and only the great singer sings. Same way only the amazing great who wants to work and build will do it.
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The future of work will be beautiful and amazing. With AI taking all the mundane and necessary work, the best of the best will work because they love to work and are great at it. Like in basketball, LeBron James plays for the love of the game, and the rest of us watch and enjoy.
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You have no or very limited control over the things that you "have to do", and the things you have good control over are not the things you have to do.
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@altcap @TrumpAccounts @SecScottBessent Thanks @altcap, just did it at @TrumpAccounts.
Never seen such a cool gov website. Great job, whoever developed the site
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Claim your kids Invest America | @TrumpAccounts when you file your taxes or simply do it now at TrumpAccounts.gov. Millions have already claimed their account. 🇺🇸🚀@SecScottBessent
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🚨 WAYMO ADMITS USING REMOTE OPERATORS IN THE PHILIPPINES FOR U.S. VEHICLES - TESLA SAYS “NO ONE HAS EVER BEEN ABLE TO TAKE OVER CONTROL OF OUR VEHICLES.”
During a U.S. Senate hearing, Waymo confirmed that human operators located in the Philippines can remotely intervene when its vehicles encounter problems on American roads.
That means in certain situations, a split-second driving decision isn’t being made by the car - it’s being influenced by a human thousands of miles away.
Senators openly warned about cybersecurity risks, delayed reaction times, and the implications of foreign operators interacting with vehicles moving through U.S. cities in real time.
Then Tesla testified.
Tesla stated its driving controls are physically isolated, cannot be accessed remotely, firmware updates require dual cryptographic approval, and that no hacker has ever taken control of a Tesla vehicle - despite years of paid hacking attempts.
Same hearing.
Same risks.
Two radically different systems.
Why does an “autonomous” car need a human in another country anywhere near the decision chain?
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@via_marketing_ In 2026, AI in enterprise is still what I say, middle-to-middle.
The clear definition of what you want and the context comes from humans, and also the validation is done by humans.
So, for now I validate the final outcome. I am happy, I still have something to do :)
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@Bibhra Nice shortcut, but who's validating if the AI actually understands your market dynamics?
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I automated the repeatable parts of GTM.
Custom agent on ChatGPT: feed it your product → get a 20-page GTM plan using my frameworks.
More on this with @/Mangomagicpod
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Is there an AI bubble?
The one that thinks there is an AI bubble, it is true for them.
Rest 2% who can’t contain the excitement about AI will experience the unbounded growth due to AI.
Our job is to make sure we distribute the growth irrespective of who thinks there is an AI bubble 👍
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@annapanart @XFreeze @annapanart .. body is more real then the concept of YOU. You is like an App or even better just an UI.
You rather hold on to your body over YOU. If you wanna hold on to anything 😀
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Deeply funny that the word "entrepreneur" is French.
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@MarioNawfal linkedin.com/pulse/life-ser…
My take on this topic
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ELON: A HUMAN BRAIN RUNS ON 10 WATTS AND BUILT CIVILIZATION
“Well, we have a clear example of efficient power, efficient compute, which is the human brain.
Our brains use about 20 watts of power, and only about 10 watts is higher brain function.
Half of it is just housekeeping, keeping your heart going and breathing.
So you’ve got maybe 10 watts of higher brain function in a human, and we’ve managed to build civilization with 10 watts of a biological computer.
Given that humans are capable of inventing general relativity and quantum mechanics, inventing aircraft, lasers, the internet, and discovering physics with a 10-watt meat computer, there’s clearly a massive opportunity for improving the efficiency of AI compute.
Right now, even a hundred-megawatt or gigawatt AI supercomputer can’t do everything a human can do.
But we already have the proof that true intelligence can emerge from just 10 watts.
That should lead you to one conclusion, AI can get a lot more efficient.”
Source: @theallinpod @elonmusk
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Our take after listening to @elonmusk on @theallinpod on the topic of how power efficient our brain is.
One way to look at the life and all the progress itself as a small side effect and not that critical part of the overall flow.
It keep things in prospective also allow humanity to do more with less stress
linkedin.com/pulse/life-ser…
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Bibhrajit Halder retweetledi
Karpathy reviews Tesla self-driving
Andrej Karpathy@karpathy
I took delivery of a beautiful new shiny HW4 Tesla Model X today, so I immediately took it out for an FSD test drive, a bit like I used to do almost daily for 5 years. Basically... I'm amazed - it drives really, really well, smooth, confident, noticeably better than what I'm used to on HW3 (my previous car) and eons ahead of the version I remember driving up highway 280 on my first day at Tesla ~9 years ago, where I had to intervene every time the road mildly curved or sloped. (note this is v13, my car hasn't been offered the latest v14 yet) On the highway, I felt like a passenger in some super high tech Maglev train pod - the car is locked in the center of the lane while I'm looking out from Model X's higher vantage point and its panoramic front window, listening to the (incredible) sound system, or chatting with Grok. On city streets, the car casually handled a number of tricky scenarios that I remember losing sleep over just a few years ago. It negotiated incoming cars in tight lanes, it gracefully went around construction and temporarily in-lane stationary cars, it correctly timed tricky left turns with incoming traffic from both sides, it gracefully gave way to the car that went out of order in the 4-way stop sign, it found a way to squeeze into a bumper to bumper traffic to make its turn, it overtook the bus that was loading passengers but still stopped for the stop sign that was blocked by the bus, and at the end of the route it circled around a parking lot, found a spot and... parked. Basically a flawless drive. For context, I'm used to going out for a brief test drive around the neighborhood to return with 20 clips of things that could be improved. It's new for me to do just that and exactly like I used to, but come back with nothing. Perfect drive, no notes. I expect there's still more work for the team in the long march of 9s, but it's just so cool to see that we're beyond finding issues on any individual ~1 hour drive around the neighborhood, you actually have to go to the fleet and mine them. Back then, I processed the incredible promise of vehicle autonomy at scale (in the fully scaleable, vision only, end-to-end Tesla way) only intellectually, but now it is possible to feel it intuitively too if you just go out for a drive. Wait, of course surround video stream at 60Hz processed by a fully dedicated "driving brain" neural net will work, and it will be so much better and safer than a human driver. Did anyone else think otherwise? I also watched @aelluswamy 's new ICCV25 talk last week (x.com/aelluswamy/sta…) that hints at some of the recent under the hood technical components driving this progress. Sensor streams (videos, maps, kinematics, audio, ...) over long contexts (e.g. ~30 seconds) go into a big neural net, steering/acceleration comes out, optionally with visualization auxiliary data. This is the dream of the complete Software 1.0 -> Software 2.0 re-write that scales fully with data streaming from millions of cars in the fleet and the compute capacity of your chip, not some engineer's clever new DoubleParkedCarHandler C++ abstraction with undefined test-time characteristics of memory and runtime. There's a lot more hints in the video on where things are going with the emerging "robotics+AI at scale stack". World reconstructors, world simulators "dreaming" dynamics, RL, all of these components general, foundational, neural net based, how the car is really just one kind of robot... are people getting this yet? Huge congrats to the team - you're building magic objects of the future, you rock! And I love my car <3.
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