<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: barbolo</title><link>https://news.ycombinator.com/user?id=barbolo</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 14 May 2026 14:17:24 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=barbolo" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by barbolo in "A History of IDEs at Google"]]></title><description><![CDATA[
<p>It was a sad surprise last week when we tried to upgrade the workspace AI plan for some of our team members to Ultra and it was gone. We're moving to Claude/Codex.</p>
]]></description><pubDate>Wed, 13 May 2026 19:17:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=48126193</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=48126193</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48126193</guid></item><item><title><![CDATA[New vibe coding experience – Google AI Studio]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/GoogleAIStudio/status/2034654985850659149">https://twitter.com/GoogleAIStudio/status/2034654985850659149</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47442421">https://news.ycombinator.com/item?id=47442421</a></p>
<p>Points: 6</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 19 Mar 2026 16:55:07 +0000</pubDate><link>https://twitter.com/GoogleAIStudio/status/2034654985850659149</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=47442421</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47442421</guid></item><item><title><![CDATA[New comment by barbolo in "DINOv3"]]></title><description><![CDATA[
<p>That's awesome. DINOv2 was the best image embedder until now.</p>
]]></description><pubDate>Thu, 14 Aug 2025 22:31:42 +0000</pubDate><link>https://news.ycombinator.com/item?id=44906483</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=44906483</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44906483</guid></item><item><title><![CDATA[New comment by barbolo in "Breaking the 4Chan CAPTCHA"]]></title><description><![CDATA[
<p><a href="https://github.com/lwthiker/curl-impersonate">https://github.com/lwthiker/curl-impersonate</a></p>
]]></description><pubDate>Sat, 30 Nov 2024 10:14:30 +0000</pubDate><link>https://news.ycombinator.com/item?id=42280744</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=42280744</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42280744</guid></item><item><title><![CDATA[New comment by barbolo in "Vision Transformers Need Registers"]]></title><description><![CDATA[
<p>I’ve been using DinoV2 for some months now. I’ve tried the models with 4 register tokens along with CLS + patch tokens. I’ve several embeddings (tokens) from previous model (no registers) which are part of my solution, so I didn’t adopt the newer “register” models because the CLS tokens are not aligned between 0 registers and 4 registers models. It would be nice if the CLS and patch tokens were somehow aligned between those models.</p>
]]></description><pubDate>Sun, 12 May 2024 00:39:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=40331537</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=40331537</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40331537</guid></item><item><title><![CDATA[Code for EfficientNetV2 (Deep Learning model) released]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/google/automl/tree/master/efficientnetv2">https://github.com/google/automl/tree/master/efficientnetv2</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=27251294">https://news.ycombinator.com/item?id=27251294</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 22 May 2021 23:54:27 +0000</pubDate><link>https://github.com/google/automl/tree/master/efficientnetv2</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=27251294</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27251294</guid></item><item><title><![CDATA[New comment by barbolo in "Giant leak exposes data from almost all Brazilians"]]></title><description><![CDATA[
<p>It's much worse than that. The leak contains dozens of datasets (relatives, addresses, jobs (+ linkedin), schools, vehicles, income, debts, pictures of faces, companies).</p>
]]></description><pubDate>Mon, 25 Jan 2021 23:30:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=25910415</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=25910415</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=25910415</guid></item><item><title><![CDATA[New comment by barbolo in "Giant leak exposes data from almost all Brazilians"]]></title><description><![CDATA[
<p>This leak is much more harmful. If the data really comes from Serasa Experian, they have more accurate and structured data from people/companies/assets in Brazil than anyone else.</p>
]]></description><pubDate>Mon, 25 Jan 2021 23:25:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=25910372</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=25910372</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=25910372</guid></item><item><title><![CDATA[Detect Headless – Run several tests against your browser]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/infosimples/detect-headless">https://github.com/infosimples/detect-headless</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=18752404">https://news.ycombinator.com/item?id=18752404</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 24 Dec 2018 15:02:10 +0000</pubDate><link>https://github.com/infosimples/detect-headless</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=18752404</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=18752404</guid></item><item><title><![CDATA[Google Cloud Functions with Python (beta)]]></title><description><![CDATA[
<p>Article URL: <a href="https://cloud.google.com/functions/docs/concepts/python-runtime">https://cloud.google.com/functions/docs/concepts/python-runtime</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=17608834">https://news.ycombinator.com/item?id=17608834</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 25 Jul 2018 12:52:10 +0000</pubDate><link>https://cloud.google.com/functions/docs/concepts/python-runtime</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=17608834</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17608834</guid></item><item><title><![CDATA[ReCAPTCHA v3 Beta – The new way to stop bots]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.google.com/recaptcha/intro/v3beta.html">https://www.google.com/recaptcha/intro/v3beta.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=17264889">https://news.ycombinator.com/item?id=17264889</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 08 Jun 2018 13:09:04 +0000</pubDate><link>https://www.google.com/recaptcha/intro/v3beta.html</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=17264889</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=17264889</guid></item><item><title><![CDATA[Semi-supervised image classification explained]]></title><description><![CDATA[
<p>Article URL: <a href="https://thecuriousaicompany.com/mean-teacher/">https://thecuriousaicompany.com/mean-teacher/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=15965018">https://news.ycombinator.com/item?id=15965018</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 19 Dec 2017 22:27:29 +0000</pubDate><link>https://thecuriousaicompany.com/mean-teacher/</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15965018</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15965018</guid></item><item><title><![CDATA[New comment by barbolo in "Developer preview of TensorFlow Lite"]]></title><description><![CDATA[
<p>Thanks, @rasmi. I have a feedback for you guys. The pricing for predictions inference in GCP is not very fair. If I deploy a small model (like a SqueezeNet or Mobilenet) I pay almost the same price of someone deploying large models (like Resnet or VGG). That’s why I’m deploying my models on serverless environments and paying about 5 dollars for 1 million inferences.<p>The pricing of GCP is: $0.10 per thousand predictions, plus $0.40 per hour. That’s more than 100 dollars for 1 million inferences.</p>
]]></description><pubDate>Wed, 15 Nov 2017 08:53:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=15702402</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15702402</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15702402</guid></item><item><title><![CDATA[New comment by barbolo in "Developer preview of TensorFlow Lite"]]></title><description><![CDATA[
<p>Thanks for the answer. Currently I’m using AWS Lambda to deploy my TensorFlow models. But it’s pretty hard and hacky. I need to remove a considerable portion of the code base that is not needed for inference only routines. I do that so the code loads faster and to fit the deployment package size limit.
If TensorFlow Lite is already a compressed code, then it may be much easier to deploy it to a serverless environment.
I’ll be trying it in my next deployments.</p>
]]></description><pubDate>Wed, 15 Nov 2017 08:41:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=15702358</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15702358</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15702358</guid></item><item><title><![CDATA[New comment by barbolo in "Developer preview of TensorFlow Lite"]]></title><description><![CDATA[
<p>Would that be a viable option to deploy TensorFlow models on serverless environments (Lambda, Functions)?</p>
]]></description><pubDate>Tue, 14 Nov 2017 22:23:16 +0000</pubDate><link>https://news.ycombinator.com/item?id=15699754</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15699754</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15699754</guid></item><item><title><![CDATA[New comment by barbolo in "RCN is much more data efficient than traditional Deep Neural Networks"]]></title><description><![CDATA[
<p>I’m reading over and over again since the last weekend. And I’m checking the code. And I’m still not understanding it.</p>
]]></description><pubDate>Tue, 31 Oct 2017 08:18:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=15591708</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15591708</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15591708</guid></item><item><title><![CDATA[New comment by barbolo in "Uncaptcha: Defeating Google's audio reCaptcha with 85% accuracy"]]></title><description><![CDATA[
<p>Automating searches on a government website that decided to use reCAPTCHA just because it wants to look modern. There are dozens of them in Brazil for example.</p>
]]></description><pubDate>Mon, 30 Oct 2017 19:11:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=15587974</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15587974</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15587974</guid></item><item><title><![CDATA[RCN is much more data efficient than traditional Deep Neural Networks]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.vicarious.com/2017/10/26/common-sense-cortex-and-captcha/">https://www.vicarious.com/2017/10/26/common-sense-cortex-and-captcha/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=15584086">https://news.ycombinator.com/item?id=15584086</a></p>
<p>Points: 235</p>
<p># Comments: 46</p>
]]></description><pubDate>Mon, 30 Oct 2017 10:41:32 +0000</pubDate><link>https://www.vicarious.com/2017/10/26/common-sense-cortex-and-captcha/</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15584086</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15584086</guid></item><item><title><![CDATA[New comment by barbolo in "Uncaptcha: Defeating Google's audio reCaptcha with 85% accuracy"]]></title><description><![CDATA[
<p>Blocking audio means blocking visually impaired people from accessing websites with reCAPTCHA.<p>Hacking reCAPTCHA is not only for bad people. There are several use cases where solving reCAPTCHA automatically is needed.</p>
]]></description><pubDate>Sun, 29 Oct 2017 14:37:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=15579463</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15579463</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15579463</guid></item><item><title><![CDATA[New comment by barbolo in "Uncaptcha: Defeating Google's audio reCaptcha with 85% accuracy"]]></title><description><![CDATA[
<p>Another interesting fact is that TensorFlow 1.4 supports native MFCC spectrogram tensors.</p>
]]></description><pubDate>Sat, 28 Oct 2017 20:25:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=15576616</link><dc:creator>barbolo</dc:creator><comments>https://news.ycombinator.com/item?id=15576616</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=15576616</guid></item></channel></rss>