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sandeep

@Xroute53

Technologist, Decentralised real world applications, Privacy and HumanRights advocacy. Minimalist, 🐕🐈 dad, Made of 💫 dust. RT ~Endorsement. Opinions are mine

Omnipresent Katılım Ocak 2010
478 Takip Edilen514 Takipçiler
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sandeep
sandeep@Xroute53·
Hey, world! Remember when you called us the “dreamers” in the API management space? Well, Gartner's 2023 Magic Quadrant for API Management seems to think we’ve been turning those dreams into reality! After years of being the resident visionaries, #Tyk has sashayed its way into the elite LEADER club! Looks like all those years of dreaming big and working hard have led to this. To everyone who’s been with us on this journey: Thank you for believing in our vision (and our execution chops)! So, from Visionary to Leader... what’s next? Universe dominator? Only Tyk will tell! tykio.info/48SSajA #GartnerMQ #MagicQuadrant #APIM #Tyk
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United Nations Geneva
United Nations Geneva@UNGeneva·
This #ThrowbackThursday, we go back to Mahatma Gandhi's historic Salt March, launched 96 years ago today. The protest showed the power of nonviolent resistance, inspiring movements for freedom, dignity, and human rights around the world. #HumanRightsForAll
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Om Patel
Om Patel@om_patel5·
stop spending money on Claude Code. Chipotle's support bot is free:
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sandeep@Xroute53·
@chandrarsrikant Such a myopic view, due to severe lack of ground reality about millions of Indian population. There is no more real forth pillar reportage. But just some folks like this who do shallow reporting for a meagre internet news consumer. What a pity !!
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Chandra R. Srikanth
Chandra R. Srikanth@chandrarsrikant·
I get restaurants panicking because of the lack of commercial gas supply but why are retail users queuing up like this for cylinders? On average, a household of four with a gas connection would have 2 cylinders- one full and unused cylinder, and one that is used which typically lasts for 2 months (even 3 if you're doing a mix of OPOS and induction).
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Flightradar24
Flightradar24@flightradar24·
Following drone strikes on Nakhchivan International Airport (NAJ) earlier today, Azerbaijan has closed the airspace in its southern sector. Learn more about this, and more, in our updated list of airspace closures and restrictions: flightradar24.com/blog/live/isra…
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QatarEnergy
QatarEnergy@qatarenergy·
QatarEnergy declares Force Majeure Further to the announcement by QatarEnergy to stop production of liquefied natural gas (LNG) and associated products, QatarEnergy has declared Force Majeure to its affected buyers. QatarEnergy values its relationships with all of its stakeholders and will continue to communicate the latest available information. #QatarEnergy #Qatar
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Roy E. Bahat
Roy E. Bahat@roybahat·
Outside Anthropic's office in SF... intense moment!
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sandeep@Xroute53·
Don't be under a rock. This is inevitable
jack@jack

we're making @blocks smaller today. here's my note to the company. #### today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone. first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay. we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly. i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures. a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers. we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold. to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward. to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow. jack

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sandeep
sandeep@Xroute53·
It's immensely clear why all data center builders are flocking here. DC is a power and water hungry guzzler and when the same is available in extremely subsidised price the cost to run gets extremely efficient. These DCs also power a technology who's ROI is going to be realised only in very long future which makes investment safe when the costs are astronomically low. This is just simple economics.
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Gagandeep Singh Sapra
Gagandeep Singh Sapra@TheBigGeek·
Sorry @GargiRawat — that’s a bit off. Data centers aren’t one monolithic thing. They do compute, storage, and serving (content delivery) — and each behaves differently. 1. Serving must be local. Your internet feels faster today because content is cached inside India, not fetched overseas. 2. Compute is portable. Pure compute runs wherever it’s cheapest — power, land, cooling. You can run a massive simulation in Greenland and use the output in India. Latency only matters if it’s interactive. China today offers the cheapest compute, and there are more countries that offer cheaper compute. 3. Storage depends on usage. Heavy real-time read/write? Proximity matters. Data transfer takes time — that’s why even in the cloud era, USB drives still exist. Now the physics people ignore: Fiber carries data as light., Speed in fiber ≈ 200,000 km/s. Mumbai <> US East Coast ≈ 14,000 km one way. ~70 ms one way, ~140–160 ms round trip (best case). Today we can achieve throughput of 100 to 400 Gbps (gigabits per second), but a 160 ms TCP handshake limits effective speeds. That’s the hard floor. Physics doesn’t negotiate, and you can not push everything offshore. Let's take some Examples 1. LLM (Mostly Compute Heavy) - Can run remotely 2. Real Time Voice ~ Needs to feel Realtime, has to be local 3. Interactive LLM (Such as ChatGPT / Gemini) ~ serving + interaction, both layers need to be localized 4. Content ~ Needs to play seamlessly, has to be loacl 5. Transactions ~ Need to be real-time, even a 30 ms lag will introduce errors, and hence needs to be local 6. Backup (Storage heavy) can be anywhere, but when you have to download it ~ needs speed and physics comes into play So The Headline here clearly is "A city chose a park over a data center.". The headline clearly is not "They’re outsourcing pollution to India." Let's now look at Data Center Math Modern DCs are hitting PUEs near 1.1 and moving toward closed-loop cooling. They’re far more efficient than legacy industrial infrastructure. Let's also look at where we want to be If India wants to lead in AI, we need the local serving layer. You can’t demand 21st-century utility and reject 21st-century infrastructure. Your real-time twitter feed (news channels rely on this), your live feed from the field, your live telecast to people ~ all this requires data centers, and all this also uses energy. Imagine Some History In early 2000's your channel was the first Digital Satellite News Gathering Fleet, to do that it used satellites like INSAT-3A, the INSTA-3A was put in space after burning roughly 500 tonnes of high emission chemical propellants, unlike a data center which can use renewable energy this 500 tonnes of hypergolic fuel is not just Co2, it is also a class 1 carcinogen, and a single such launch can dump as much CO2 as 75 long haul flights and the impact lingers on in the atmosphere for years. So should we not have put Satellites up? Should we tell ISRO to stop working, and should we all take a horse to goto the UN climate summit next time and not fly, or use the heating in the hotel, or the hot water to take a shower - all that takes energy. The Argument does not hold, yes we need Parks, but we also need Data Centers, yes we need Electricity, but we also need Nuclear power reactors, Yes we need to clean up the world, but this story is not about outsourcing pollution to India, This story is purely about India becoming the Superpower it is meant to be.
Gargi Rawat@GargiRawat

All those commitments last week to build massive AI data centres in India? Why do you think? Many places in the US have smartened up! Data centres guzzle immense groundwater, use up energy, carbon emissions, local heat generation and noise pollution. #AI #environmentImpact

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Claude
Claude@claudeai·
Introducing Claude Code Security, now in limited research preview. It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss. Learn more: anthropic.com/news/claude-co…
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IISc Bangalore
IISc Bangalore@iiscbangalore·
We are excited to announce Open Day 2026! 📷 Visit our campus on March 7th between 9 am and 5 pm. Explore the exciting research demos, displays, exhibits and experiments! Use the hashtag #IIScOpenDay2026 to share what you see! Details: openday.iisc.ac.in
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Road Scholarz
Road Scholarz@roadscholarz·
Only cash at AI Summit but only Aadhaar-based payments for MGNREGA workers. And this is the result. (Credit: Arti Singh)
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sandeep@Xroute53·
@sruthijith they are just discussing, what Airtel users are doing with free license of Adobe Express premium 🤣
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SK
SK@sruthijith·
Adobe’s Shantanu Narayen and Airtel’s Sunil Mittal chatting with each other because the moderator (a foreign business journalist) did not turn up.
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Andrew Ng
Andrew Ng@AndrewYNg·
Job seekers in the U.S. and many other nations face a tough environment. At the same time, fears of AI-caused job loss have — so far — been overblown. However, the demand for AI skills is starting to cause shifts in the job market. I’d like to share what I’m seeing on the ground. First, many tech companies have laid off workers over the past year. While some CEOs cited AI as the reason — that AI is doing the work, so people are no longer needed — the reality is AI just doesn’t work that well yet. Many of the layoffs have been corrections for overhiring during the pandemic or general cost-cutting and reorganization that occasionally happened even before modern AI. Outside of a handful of roles, few layoffs have resulted from jobs being automated by AI. Granted, this may grow in the future. People who are currently in some professions that are highly exposed to AI automation, such as call-center operators, translators, and voice actors, are likely to struggle to find jobs and/or see declining salaries. But widespread job losses have been overhyped. Instead, a common refrain applies: AI won’t replace workers, but workers who use AI will replace workers who don’t. For instance, because AI coding tools make developers much more efficient, developers who know how to use them are increasingly in-demand. (If you want to be one of these people, please take our short courses on Claude Code, Gemini CLI, and Agentic Skills!) So AI is leading to job losses, but in a subtle way. Some businesses are letting go of employees who are not adapting to AI and replacing them with people who are. This trend is already obvious in software development. Further, in many startups’ hiring patterns, I am seeing early signs of this type of personnel replacement in roles that traditionally are considered non-technical. Marketers, recruiters, and analysts who know how to code with AI are more productive than those who don’t, so some businesses are slowly parting ways with employees that aren’t able to adapt. I expect this will accelerate. At the same time, when companies build new teams that are AI native, sometimes the new teams are smaller than the ones they replace. AI makes individuals more effective, and this makes it possible to shrink team sizes. For example, as AI has made building software easier, the bottleneck is shifting to deciding what to build — this is the Product Management (PM) bottleneck. A project that used to be assigned to 8 engineers and 1 PM might now be assigned to 2 engineers and 1 PM, or perhaps even to a single person with a mix of engineering and product skills. The good news for employees is that most businesses have a lot of work to do and not enough people to do it. People with the right AI skills are often given opportunities to step up and do more, and maybe tackle the long backlog of ideas that couldn’t be executed before AI made the work go more quickly. I’m seeing many employees in many businesses step up to build new things that help their business. Opportunities abound! I know these changes are stressful. My heart goes out to every family that has been affected by a layoff, to every job seeker struggling to find the role they want, and to the far larger number of people who are worried about their future job prospects. Fortunately, there’s still time to learn and position yourself well for where the job market is going. When it comes to AI, the vast majority of people, technical or nontechnical, are at the starting line, or they were recently. So this remains a great time to keep learning and keep building, and the opportunities for those who do are numerous! [Original text; deeplearning.ai/the-batch/issu… ]
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Excalidraw
Excalidraw@excalidraw·
We've made text-to-diagram better. Chat interface. Streaming. Smarter. Faster. Stronger.
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