Vinay Y S

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Vinay Y S

Vinay Y S

@vys

Bangalore, India Katılım Mayıs 2007
720 Takip Edilen261 Takipçiler
Vinay Y S retweetledi
andrew chen
andrew chen@andrewchen·
the magic of cowork and openclaw and other AI products is that they replace our giant row of infinite browser tabs And lol - no, don't feel guilty, I have too many tabs too. AI makes it so that every workflow that required 4 browser tabs and a spreadsheet is getting collapsed into one AI-native experience Just as one quick example- think about how you used to research a person or a company: LinkedIn tab, X tab, Google tab, notes doc, slack open. now one prompt does it in 10 seconds. the "tab count" of a workflow is basically a proxy for how much AI can compress it if your product eliminates 6 tabs and a copy-paste loop, users will like it. If you can create a whole series of these workflows then your users will absolutely love it. Thus the biggest opportunities are workflows where people currently alt-tab 20+ times per task. Sales, recruiting, research, compliance, procurement. Boring? yes. Massive? also yes. But this is why these agentic tools are going to crush AI doesn't need to be superintelligent to be wildly useful. it just needs to be good enough to close the tabs
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Anish Moonka
Anish Moonka@anishmoonka·
Every time you get a cancer biopsy, the lab makes a tissue slide that costs about $5. It shows the shape of your cells under a microscope, and every cancer patient already has one on file. There’s a much fancier version of that test called multiplex immunofluorescence (basically a protein-level map showing which immune cells are near your tumor and what they’re doing). It costs thousands of dollars per sample, takes specialized equipment most hospitals don’t have, and barely scales. But it’s the kind of data oncologists need to figure out whether immunotherapy will actually work for you. Right now, only about 20 to 40% of cancer patients respond to immunotherapy, and one of the biggest reasons is that doctors can’t easily tell whether a tumor is “hot” (immune cells actively fighting it) or “cold” (immune system ignoring it). Microsoft, Providence Health, and the University of Washington trained an AI to analyze the $5 slide and predict what the expensive test would show across 21 different protein markers. They called it GigaTIME, trained it on 40 million cells in which both the cheap slide and the expensive test coexisted, and then turned it loose on 14,256 real cancer patients across 51 hospitals in 7 US states. The results landed in Cell, one of the most selective journals in biology. The model generated about 300,000 virtual protein maps covering 24 cancer types and 306 subtypes. It found 1,234 real, verified connections between immune cell behavior, genetic mutations, tumor staging, and patient survival that were previously invisible at this scale. When they tested it against a completely separate database of 10,200 cancer patients, the results matched up almost perfectly (0.88 out of 1.0 agreement). Nature Methods named spatial proteomics (mapping where specific proteins sit inside your tissue) its Method of the Year in 2024, and specifically cited GigaTIME in a March 2026 update as a model that “democratizes” this kind of analysis. The full model is open-source on Hugging Face. Any cancer research lab with archived biopsy slides, and most of them have thousands, can now run virtual immune profiling without buying a single piece of new equipment.
Satya Nadella@satyanadella

We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.

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Satya Nadella
Satya Nadella@satyanadella·
We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.
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Vinay Y S@vys·
Software gets denser and wilder: Multi-agent systems layer reasoning, memory, interoperability. Complexity surges—agent sprawl requires tight governance.
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Vinay Y S@vys·
Custom agents proliferate: Individuals and teams build niche, esoteric solutions at scale. Each one demands its own compute, memory, and storage footprint. Distributed digital explosion.
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Vinay Y S@vys·
Predictions Agentic AI boom = massive spike in GPU AND non-GPU compute/storage. Heavy inference + orchestration, memory, observability, and tool execution eat resources across the stack.
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Vinay Y S@vys·
@elonmusk Money buys time autonomy (capacity). Happiness throughput is still capped by purpose, relationships, health, identity (the real critical path).
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Elon Musk
Elon Musk@elonmusk·
Whoever said “money can’t buy happiness” really knew what they were talking about 😔
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Vinay Y S@vys·
My terminal looks like those in Hollywood movies when multiple sub-agents within Claude code are doing tasks and flooding it with updates that scroll past quickly 😂
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Vinay Y S@vys·
Why does Apple TV voice button not have a fully functioning AI agent? It is such a waste of opportunity.
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Vinay Y S@vys·
@BillAckman All reward programs are based on perception packaging and breakage. Chasing credit card points rewards is waste of time. Banks make money and you lose time. For merchants, it is customer acquisition cost, for high value purchases they give you discount if you pay via debit.
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Bill Ackman
Bill Ackman@BillAckman·
On the topic of credit cards: It seems unfair that the points programs that are provided to the high income cardholders are paid for by the low-income cardholders that don’t get points or other reward programs with their cards. Points and rewards programs are in effect a rebate on every purchase. The higher the reward benefits, the higher the discount fee the card company charges the retailer to cover the cost of the benefits. The greater the rewards, the higher the discount fee. Discount fees can be as low as ~1.5% for cards without rewards but as high as 3.5% or more for ‘black’ or ‘platinum’ cards. Since the retailers or service establishments charge all consumers the same price for the same items or services, the millions of lower income consumers with no reward benefits are in effect subsidizing the platinum cardholder when he uses his card. In other words, the low income consumer is paying an extra 2% on his credit card purchases to cover the rewards points for the platinum cardholder. This doesn’t seem right to me. What am I missing?
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Vinay Y S@vys·
@elonmusk When are you updating the default/free autopilot? That sucks and isn’t very safe.
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Elon Musk
Elon Musk@elonmusk·
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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Ritesh Banglani
Ritesh Banglani@banglani·
Since nobody else has done it, here's my definitive ranking of Bangalore rains. <thread>
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Sriram Krishnan
Sriram Krishnan@sriramk·
Everyone loves Jurassic park (rightfully) but so many other classics Great Train Robbery: not sci-fi but underrated thriller Timeline - underrated time travel/medieval exploration State of Fear: was prescient in how the climate doomers would act Airframe: on systems and institutions failing Prey: another favorite, prescient on autonomous drone tech I could go on and on - Congo, Andromeda Strain,...
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Sriram Krishnan
Sriram Krishnan@sriramk·
Strongly recommend @PalmerLuckey's podcast with @joerogan. In particular, love Palmer's love for sci-fi - bringing up Crichton's classic Sphere which had a tremendous impact on me as a kid - David Brin's "Uplift" series, which I had somehow missed. a great listen and a ton of new "Palmer content".
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Vinay Y S
Vinay Y S@vys·
@jsensarma @sagorika_s Is the air fryer all metal or is it pumping hot air over toxic non-metal parts that are off gassing all the time?
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jss
jss@jsensarma·
@sagorika_s Not at all. Air Fryers are amazing. Get one - they are too cheap. Almost anything doable on a pan, with oil, is better in air-fryer. Its more feasible to throw out the oven (no good except for baking)
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Vinay Y S@vys·
Trying out ChatGPT Pro this week. is it this slow all the time or is something going on today?
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Vinay Y S@vys·
@sama the quality/correctness of answers from free vs plus seems to be markedly different in a few scenarios I saw. I wonder if the same is true between plus and pro. I would rather get a failure than poor quality answer. can you fix this?
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Sam Altman
Sam Altman@sama·
We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right. Now that we have been able to mitigate the serious mental health issues and have new tools, we are going to be able to safely relax the restrictions in most cases. In a few weeks, we plan to put out a new version of ChatGPT that allows people to have a personality that behaves more like what people liked about 4o (we hope it will be better!). If you want your ChatGPT to respond in a very human-like way, or use a ton of emoji, or act like a friend, ChatGPT should do it (but only if you want it, not because we are usage-maxxing). In December, as we roll out age-gating more fully and as part of our “treat adult users like adults” principle, we will allow even more, like erotica for verified adults.
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Tejasvi Surya
Tejasvi Surya@Tejasvi_Surya·
Tunnel Road will be a disaster for Bengaluru. 6 acres are earmarked for acquisition but the people of Bengaluru will not let even 6 inches of Lalbagh to be taken. During my visit to Lalbagh yesterday, GBA officials refused to accompany us to show the proposed tunnel route under the Lalbagh Rock. Even more alarming was the revelation that a commercial complex is planned at the shaft location within Lalbagh. Along with citizen experts and walkers, I witnessed the potential negative impact this tunnel project could have on the city. It threatens our historical landmarks and fragile ecological balance. The state government’s decision to take over land for a tunnel road that is unscientific, unnecessary, unsafe and unlawful is deeply concerning. Watch.
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