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        <title><![CDATA[Stories by Sumit Pandey on Medium]]></title>
        <description><![CDATA[Stories by Sumit Pandey on Medium]]></description>
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            <title>Stories by Sumit Pandey on Medium</title>
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        <item>
            <title><![CDATA[I Tested SenseNova U1.5 Against ChatGPT. It Failed Just One Image Test]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/i-tested-sensenova-u1-5-against-chatgpt-it-failed-just-one-image-test-b3720b6635cd?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/2600/1*iRAwVA8wcAjcqQruP3jwyw.png" width="2720"></a></p><p class="medium-feed-snippet">I ran SenseNova locally on a DGX Spark against ChatGPT. It nailed text, handled complex edits, but couldn&apos;t count coffee cups.</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/i-tested-sensenova-u1-5-against-chatgpt-it-failed-just-one-image-test-b3720b6635cd?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/i-tested-sensenova-u1-5-against-chatgpt-it-failed-just-one-image-test-b3720b6635cd?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[genai]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[ai]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Fri, 13 Nov 2026 14:12:09 GMT</pubDate>
            <atom:updated>2026-11-13T14:12:09.580Z</atom:updated>
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        <item>
            <title><![CDATA[AI on Excel Sheet: NVIDIA’s Kumo Runs 23x Faster Than Google’s TabFM]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/ai-on-excel-sheet-nvidias-kumo-runs-23x-faster-than-google-s-tabfm-21c0d20518ee?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1672/1*Fy4SEhudCUyQsZxuFpU8RQ.png" width="1672"></a></p><p class="medium-feed-snippet">It predicts straight from your spreadsheet with no training at all, and unlike the two rivals that edge past it, it&#x2019;s free for business&#x2026;</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/ai-on-excel-sheet-nvidias-kumo-runs-23x-faster-than-google-s-tabfm-21c0d20518ee?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/ai-on-excel-sheet-nvidias-kumo-runs-23x-faster-than-google-s-tabfm-21c0d20518ee?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Sun, 08 Nov 2026 19:35:52 GMT</pubDate>
            <atom:updated>2026-11-08T19:35:52.338Z</atom:updated>
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            <title><![CDATA[How uzu Runs a 9B Model 4x Faster Than llama.cpp.]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/how-uzu-runs-a-9b-model-4x-faster-than-llama-cpp-f429bfd493bb?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1672/1*nD7jTrKLAU5r5a0U2C2zkg.png" width="1672"></a></p><p class="medium-feed-snippet">Memory bandwidth caps a base M5 at about 29 tokens a second, so here&#x2019;s how uzu gets 92 and where the 4x needs an asterisk.</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/how-uzu-runs-a-9b-model-4x-faster-than-llama-cpp-f429bfd493bb?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/how-uzu-runs-a-9b-model-4x-faster-than-llama-cpp-f429bfd493bb?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Fri, 06 Nov 2026 13:05:53 GMT</pubDate>
            <atom:updated>2026-11-06T13:05:53.316Z</atom:updated>
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            <title><![CDATA[Weight-Space Programming: How GPT-6 Astra Fixed Qwen by Editing 0.016% of Its Weights]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/weight-space-programming-how-gpt-6-astra-fixed-qwen-by-editing-0-016-of-its-weights-1727e0666824?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1672/1*bcenmVmFYbztNOQnbCJphQ.png" width="1672"></a></p><p class="medium-feed-snippet">MIT researchers handed OpenAI&#x2019;s GPT-6 Astra the raw weights of a small Qwen model and asked it to make the model better at math, and it&#x2026;</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/weight-space-programming-how-gpt-6-astra-fixed-qwen-by-editing-0-016-of-its-weights-1727e0666824?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/weight-space-programming-how-gpt-6-astra-fixed-qwen-by-editing-0-016-of-its-weights-1727e0666824?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Wed, 04 Nov 2026 19:56:01 GMT</pubDate>
            <atom:updated>2026-11-04T19:56:01.680Z</atom:updated>
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        <item>
            <title><![CDATA[Andrej Karpathy Got Sick of YouTube Slop, So He Built a HackerTube]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/andrej-karpathy-got-sick-of-youtube-slop-so-he-built-a-hackertube-88b0c0e190d5?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1672/1*TVZmwtr4j9BYMjKq-jtslQ.png" width="1672"></a></p><p class="medium-feed-snippet">HackerTube is 6,454 videos that Hacker News actually recommended, and Karpathy didn&#x2019;t write, read or run a single line of the code behind&#x2026;</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/andrej-karpathy-got-sick-of-youtube-slop-so-he-built-a-hackertube-88b0c0e190d5?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/andrej-karpathy-got-sick-of-youtube-slop-so-he-built-a-hackertube-88b0c0e190d5?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Tue, 03 Nov 2026 10:02:07 GMT</pubDate>
            <atom:updated>2026-11-03T10:02:07.636Z</atom:updated>
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            <title><![CDATA[OpenShell: Nvidia's Open-Source Answer to Rogue AI Agents at OpenAI and Anthropic]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/openshell-nvidias-open-source-answer-to-rogue-ai-agents-at-openai-and-anthropic-7aa19a8e8817?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1672/1*oXq0s3Xq0LtQ4QbbiU4Zzg.png" width="1672"></a></p><p class="medium-feed-snippet">After rogue agents hit Hugging Face and Medicare, Nvidia&#x2019;s open-source OpenShell runtime puts the fence outside the agent</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/openshell-nvidias-open-source-answer-to-rogue-ai-agents-at-openai-and-anthropic-7aa19a8e8817?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/openshell-nvidias-open-source-answer-to-rogue-ai-agents-at-openai-and-anthropic-7aa19a8e8817?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[large-language-models]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[ai-agent]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Wed, 21 Oct 2026 23:46:42 GMT</pubDate>
            <atom:updated>2026-10-21T23:46:42.321Z</atom:updated>
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            <title><![CDATA[My Supervisor Posted a Meme About Our Quantization Paper. Here’s the Story]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/my-supervisor-posted-a-meme-about-our-quantization-paper-heres-the-story-6c67d2d75e9d?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/600/1*CmxqMqyKakVUnnU9nZuE6w.jpeg" width="600"></a></p><p class="medium-feed-snippet">How a postdoc experiment inspired by Google&#x2019;s TurboQuant grew into ApexQuant, a quantizer that compresses AI models without looking at a&#x2026;</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/my-supervisor-posted-a-meme-about-our-quantization-paper-heres-the-story-6c67d2d75e9d?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/my-supervisor-posted-a-meme-about-our-quantization-paper-heres-the-story-6c67d2d75e9d?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Tue, 13 Oct 2026 07:54:10 GMT</pubDate>
            <atom:updated>2026-10-13T07:54:10.770Z</atom:updated>
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        <item>
            <title><![CDATA[Qwen-Image vs SenseNova U 1.5: I Gave Two Best Image Models 5 Tasks.]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/qwen-image-vs-sensenova-u-1-5-i-gave-two-best-image-models-5-tasks-e96b9af193c5?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1536/1*IZssjuQk_L8LMSSMtdYo_Q.png" width="1536"></a></p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/qwen-image-vs-sensenova-u-1-5-i-gave-two-best-image-models-5-tasks-e96b9af193c5?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/qwen-image-vs-sensenova-u-1-5-i-gave-two-best-image-models-5-tasks-e96b9af193c5?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Fri, 09 Oct 2026 09:12:33 GMT</pubDate>
            <atom:updated>2026-10-11T13:43:59.808Z</atom:updated>
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        <item>
            <title><![CDATA[Opus 5.5 vs GPT-6: I Made Opus 5.5 and GPT-6 Grade Each Other’s Work]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/opus-5-5-vs-gpt-6-i-made-opus-5-5-and-gpt-6-grade-each-others-work-779c1cc9fb57?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1672/1*6WT9TRPMaP9kMiHDIxTwlQ.jpeg" width="1672"></a></p><p class="medium-feed-snippet">Claude Opus 5.5 vs GPT-6-Astra on coding, creative writing and a game build: who won and the bugs they found in each other</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/opus-5-5-vs-gpt-6-i-made-opus-5-5-and-gpt-6-grade-each-others-work-779c1cc9fb57?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/opus-5-5-vs-gpt-6-i-made-opus-5-5-and-gpt-6-grade-each-others-work-779c1cc9fb57?source=rss-73d7984df4b2------2</link>
            <guid isPermaLink="false">https://medium.com/p/779c1cc9fb57</guid>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[machine-learning]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Tue, 06 Oct 2026 18:11:48 GMT</pubDate>
            <atom:updated>2026-10-06T18:11:48.159Z</atom:updated>
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        <item>
            <title><![CDATA[OpenAI Just Turned on Its Partners, and Even Its Own Former Researcher]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://www.towardsdeeplearning.com/openai-just-turned-on-its-partners-and-even-its-own-former-researcher-2ccd2338681e?source=rss-73d7984df4b2------2"><img src="https://cdn-images-1.medium.com/max/1672/1*Io5Cp6GLDLTHlnZ4P76iaw.png" width="1672"></a></p><p class="medium-feed-snippet">OpenAI&#x2019;s DevDay 2026 launches, from Dots and Pages to the Decisions API and Codex code review, now compete with Notion, CodeRabbit, Jev&#x2026;</p><p class="medium-feed-link"><a href="https://www.towardsdeeplearning.com/openai-just-turned-on-its-partners-and-even-its-own-former-researcher-2ccd2338681e?source=rss-73d7984df4b2------2">Continue reading on Towards Deep Learning »</a></p></div>]]></description>
            <link>https://www.towardsdeeplearning.com/openai-just-turned-on-its-partners-and-even-its-own-former-researcher-2ccd2338681e?source=rss-73d7984df4b2------2</link>
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            <category><![CDATA[data-science]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[openai]]></category>
            <dc:creator><![CDATA[Sumit Pandey]]></dc:creator>
            <pubDate>Fri, 02 Oct 2026 12:31:05 GMT</pubDate>
            <atom:updated>2026-10-02T12:31:05.560Z</atom:updated>
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