Nitesh Dudhia

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Nitesh Dudhia

Nitesh Dudhia

@thequiet_one

Tech buff, avid reader but mostly a weekend loving organic gardner

Pune... mostly :) Katılım Ekim 2010
1.1K Takip Edilen270 Takipçiler
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Josh Woodward
Josh Woodward@joshwoodward·
🇮🇳 Good morning India! A lot of you asked for full-length mock JEE Main tests in @GeminiApp at no cost - done! Good luck on your prep! Last week, SAT. This week, JEE. What other global exams would be most helpful?
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OpenAI Developers
OpenAI Developers@OpenAIDevs·
Introducing AgentKit—build, deploy, and optimize agentic workflows. 💬 ChatKit: Embeddable, customizable chat UI 👷 Agent Builder: WYSIWYG workflow creator 🛤️ Guardrails: Safety screening for inputs/outputs ⚖️ Evals: Datasets, trace grading, auto-prompt optimization
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Nitesh Dudhia
Nitesh Dudhia@thequiet_one·
@dilipti This happens more often than you think, recruitment is fraught with occasions when the answers come from AI and the human just acts like it’s his/her response ! 😝
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Satya Nadella
Satya Nadella@satyanadella·
Jevons paradox strikes again! As AI gets more efficient and accessible, we will see its use skyrocket, turning it into a commodity we just can't get enough of. en.m.wikipedia.org/wiki/Jevons_pa…
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Satya Nadella
Satya Nadella@satyanadella·
There is no more waitlist for GitHub Copilot Workspace—the most advanced agentic editor. Start building with agents today.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
As a developer, if you have a technology/framework/language-related question, what do you do first?
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Sauna by Wordware
Sauna by Wordware@joinsauna·
We’re thrilled to announce our $30M seed round to accelerate Wordware’s mission of empowering anyone to build in AI with plain English. 💫 With Wordware, anyone—from seasoned engineers to non-technical domain experts—can build AI agents that streamline processes, enhance operations, and solve real-world problems—20x faster. By providing the infrastructure to turn ideas into production-ready solutions, we’re making AI development faster, more intuitive, and accessible to everyone. This round was led by @sparkcapital (@nabeel), with support from @felicis (@AstasiaMyers, @asenkut ) and @ycombinator (@dessaigne). With participation from @DayOneVC (@mashadrokova ), @20SALES_vc (@kimmgraves, @maggie_hott), @svangel (@ElizabethTurner, @topherc), @TheoryForgeVC (@MattPRD, @benparr), @friendsfamcap (John Fogelsong), Figma Ventures, @innovationnest, and J4 Ventures. We’re incredibly grateful for the trust and support of our amazing angels: @blader, @jboehmig, @callmevlad, @collinmathilde, @kul, @paulg, @tmrohan, @bentossell, @azeem, @swyx, @theo, @WKortschak, @Soleio, @pauldaugh, Don Stalter, @JLHenriod, John Cassidy, @DanWestgarth, @jayjreno, Michele Grazioli, @brownthings, @tod, Nicholas Elledge, Thjin Lamers, @milichab, @Robin_Choy, @stanboland, @nickponline, @stahura, @barticz, @tomik99, @piotrkarwatka, @brianjacobsvc, @chiajy2000, Jędrzej Szcześniak, Kacper Szczesniak, Neil Shah, @gkossakowski, and Rahul Mehta. This is just the beginning—let’s build the future together!
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Google DeepMind
Google DeepMind@GoogleDeepMind·
Here’s how SynthID watermarks AI-generated content across modalities. ↓
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The Nobel Prize
The Nobel Prize@NobelPrize·
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
The Nobel Prize tweet media
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Shreyas Doshi
Shreyas Doshi@shreyas·
🌟 I am hiring a Research Fellow who’ll work closely with me on updates to my Product Sense course * 3-6 month fellowship * Avg 20 hours/week * Any location fine * Stipend $12,000/month See details & apply here: bit.ly/work-with-shre… Appreciate your help spreading the word🙏🏾
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Yann LeCun
Yann LeCun@ylecun·
Nice article in Financial Time where I explain that Auto-Regressive LLM are insufficient to reach human-level intelligence (or even cat-level intelligence). But alternative architectures that I call "objective driven" may reach human-level intelligence one day. They use world models based on JEPA (Joint Embedding Predictive Architectures, which are not generative). With this, we may have systems that 1. understand the physical world 2. have persistent memory 3. can reason 4. can plan, perhaps hierarchically. Four essential characteristics necessary for intelligent behavior, which humans and many animals exhibit.
Financial Times@FT

Yann LeCun says he is working to develop an entirely new generation of AI systems that he hopes will power machines with human-level intelligence. It could take up to 10 years to achieve, he tells the @FT in an interview on.ft.com/3KbShLF

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Yann LeCun
Yann LeCun@ylecun·
If you are a student interested in building the next generation of AI systems, don't work on LLMs
VivaTech@VivaTech

The Godfather of AI is at #VivaTech! Yann LeCun (@ylecun) advises students coming into the industry: "Don't work on LLM. This is in the hands of large companies, there's nothing you can bring to the table. You should work on next-gen AI systems that lift the limitations of LLMs.

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Kunal Shah
Kunal Shah@kunalb11·
Who’s building cool AI applications in India. Comment below with some brief description. (Serious replies only)
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Vaibhav Domkundwar
Vaibhav Domkundwar@vaibhavbetter·
this is brilliantly articulated…also why we started investing in services …what we call as Outcome-as-a-Service …since early 2023! the next 20 yrs belong to OaaS just like the last 20 yrs belonged to Cloud. if you are excited about this vision please dm — we see opportunities in a wide range of thin but deep segments.
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Dilip Thomas Ittyera
Dilip Thomas Ittyera@dilipti·
It’s going to be pretty much like any automated manufacturing line with robots and human supervision And I guess most of the supervision will be remote and abstract, enabling citizen creators
Andrej Karpathy@karpathy

# automating software engineering In my mind, automating software engineering will look similar to automating driving. E.g. in self-driving the progression of increasing autonomy and higher abstraction looks something like: 1. first the human performs all driving actions manually 2. then the AI helps keep the lane 3. then it slows for the car ahead 4. then it also does lane changes and takes forks 5. then it also stops at signs/lights and takes turns 6. eventually you take a feature complete solution and grind on the quality until you achieve full self-driving. There is a progression of the AI doing more and the human doing less, but still providing oversight. In Software engineering, the progression is shaping up similar: 1. first the human writes the code manually 2. then GitHub Copilot autocompletes a few lines 3. then ChatGPT writes chunks of code 4. then you move to larger and larger code diffs (e.g. Cursor copilot++ style, nice demo here youtube.com/watch?v=Smklr4…) 5.... Devin is an impressive demo of what perhaps follows next: coordinating a number of tools that a developer needs to string together to write code: a Terminal, a Browser, a Code editor, etc., and human oversight that moves to increasingly higher level of abstraction. There is a lot of work not just on the AI part but also the UI/UX part. How does a human provide oversight? What are they looking at? How do they nudge the AI down a different path? How do they debug what went wrong? It is very likely that we will have to change up the code editor, substantially. In any case, software engineering is on track to change substantially. And it will look a lot more like supervising the automation, while pitching in high-level commands, ideas or progression strategies, in English. Good luck to the team!

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Brian Solis
Brian Solis@briansolis·
We need a new era of AI-first leadership. We need decision-makers who can not only automate work, but also imagine, inspire, and empower a renaissance, one where workers and jobs are augmented with AI to unlock new potential and performance. 🦾 briansolis.com/2024/01/ainisi…
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Marc Benioff
Marc Benioff@Benioff·
Funny and clever. “We are all just auto corrects on steroids to some degree.”
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Dilip Thomas Ittyera
Dilip Thomas Ittyera@dilipti·
Here is one of the finest articulations that I have read in the recent past explaining the strengths and complementary benefits of two visibly different paths to RAG @CogniSwitch⁩ utilises this approach in helping GenAI deliver reliably across domains @alcarazanthony1/augmenting-large-language-models-with-hybrid-knowledge-architectures-24cd322b5be7" target="_blank" rel="nofollow noopener">medium.com/@alcarazanthon
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