Google’s Gemini AI and Pixel phones are going to show up a lot during the 2026 World Cup - 9to5Google
<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxOd1VDZlVjb2RxWURKcURVdnRVMExfbG9nbUE4R0pxQTBqUjAtSFM2VVZfOUU2YVZiNmRXR1BoV0hqTTk0M1ZJSW5tVjd6N3FDR0swZmhjX2Rta21YcXdCYmdJVDIzR3JSR1VfNkdFNWg3VE1UQTEycmU1Rk45cWpTQVBSVG44TnhCeWNITjFR?oc=5" target="_blank">Google’s Gemini AI and Pixel phones are going to show up a lot during the 2026 World Cup</a> <font color="#6f6f6f">9to5Google</font>
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FOR ME, Qwen3.5-27B is better than Gemini 3.1 Pro and GPT-5.3 Codex
<!-- SC_OFF --><div class="md"><p>There's something I hate about the big SOTA proprietary models. In order to make them better for people who don't know how to program, they're optimized to solve problems entirely autonomously. Yeah, this makes people over on <a href="/r/ChatGPT">/r/ChatGPT</a> soypog when it writes a 7z parser in Python because the binary is missing, however, for me, this makes them suck. If something isn't matching up, Qwen3.5-27B will just give up. If you're trying to vibecode some slop this is annoying, but for me this is much, much better. I'm forced to use GitHub Copilot in university, and whenever there's a problem, it goes completely off the rails and does some absolute hogwash. Like, for example, it was struggling to write to a file that had some broken permission
Part 1 - Why I Picked LangChain4j Over Spring AI
<p>Distributed sagas are hard enough without AI. You're already dealing with compensating transactions, Kafka topics, state machines, and rollback chains across 5 microservices. Adding an AI layer on top sounds like a recipe for more complexity.<br> But that's exactly what this series covers: where AI actually helps in a saga-based architecture, and how to wire it up without making the system more fragile. The AI layer auto-diagnoses failures, dynamically reorders saga steps based on real failure data, and lets developers query the entire system in natural language.<br> This first post covers the foundation: why I went with LangChain4j as the Java SDK, the core concepts you need, and how to get a working agent running.</p> <h2> Why LangChain4j </h2> <p>If you're building AI-powered applica
Google Brings AI Music Generation to Gemini—We Tried It, and It's Too Little Too Late - Decrypt
<a href="https://news.google.com/rss/articles/CBMifkFVX3lxTE1qTGtMODc5R1dpMU5rcndUWk1CZklPREQtc0l6Z2pBM0Vwb3g1X0Jqa2xCU2dZUlNuLTA2bE12YklFQlFicHZON2J1SU8zSk80SktzeE5wOWhTa3FpemQyb283V01BNnZKcmNXUElVc0E0WWdNTjRsc3ItM25yZ9IBhgFBVV95cUxNWW9CbXg5U29RcmhIQUhhRFAzOERWZzJNdEwzQ2dwTFlUYWpyczVzM25LNWRTS2tQcE1qMzhwTGJGUEcyLTF5c0h0U1BnUXJnV0hLd1dERXJxVWpCeVV3bzlqbFdSYkhWMEw3cFhyRDVzd0x1ZEotWFlpVTBKUnYwVU1fOGt1UQ?oc=5" target="_blank">Google Brings AI Music Generation to Gemini—We Tried It, and It's Too Little Too Late</a> <font color="#6f6f6f">Decrypt</font>
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ciflow/torchtitan/178948: [dynamo] Implement tp_as_number->nb_or slot
<p>Replace the ad-hoc isinstance cascades in call_or_/call_ior with a generic<br> binary-op dispatch that mirrors CPython's binary_op1 algorithm. Each VT<br> subclass that supports | now provides an nb_or_impl (and nb_ior_impl for |=)<br> slot method, following the pattern established by nb_index_impl and nb_int_impl.</p> <p>The generic infrastructure in object_protocol.py (binary_op1, binary_op,<br> binary_iop) handles forward/reverse dispatch and NotImplemented propagation.<br> Per-type slots are implemented on ConstantVariable (int/bool/frozenset/type),<br> SetVariable, ConstDictVariable, DictKeysVariable, SymNodeVariable,<br> UserDefinedClassVariable, UserDefinedObjectVariable, UserDefinedDictVariable,<br> UserDefinedSetVariable, and OpaqueObjectClassVariable.</p> <p>Authored with Clau
trunk/d52b2f548aa3cfcfcd499fcba764fccf29628de6: [inductor] Enable precompiled headers in fbcode (#178870) (#178870)
<p>Summary:</p> <p>Enable cpp_cache_precompile_headers for fbcode</p> <p>Authored with Claude.</p> <p>Test Plan: CI</p> <p>Reviewed By: IvanKobzarev</p> <p>Differential Revision: D98767213</p> <p>Pull Request resolved: <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4179300248" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/178870" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/178870/hovercard" href="https://github.com/pytorch/pytorch/pull/178870">#178870</a><br> Approved by: <a href="https://github.com/IvanKobzarev">https://github.com/IvanKobzarev</a></p>
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