AMD finally clarifies Windows TPM & BitLocker bug that still affects Ryzen CPUs by Sayan Sen Back in 2023, Neowin reported on TPM attestation failures on AMD Ryzen PCs that had been known since December 2022 but were still around at the time, even several months later. We came to know of the bug after some of our forum members alerted us. On the issue notes, Microsoft wrote, "TPM attestation for AMD platforms with ASP firmware TPM might fail with error code 0x80070490 on Windows systems. This issue is resolved on later versions of AMD firmware. Consult with device manufacturers and firmware release notes for which firmware versions contain the update." So while Microsoft stated that a future (post-2022) AMD firmware had supposedly already resolved the issue, we were a bit surprised to see that the issue still persisted, and as such, mostly blamed AMD for the problem. TPM 2.0 mechanism |Image via Microsoft However, it turns out we were not quite right in doing so. While browsing, Neowin spotted a new support article today regarding the TPM attestation failure that is still probably happening, AMD has clarified that the company had released the firmware patch already in 2022 but some of the motherboard vendors did not release that update for users. The issue affects Ryzen 1000 (Zen1) up to Ryzen 5000 (Zen 3) processors, so it mainly affects AM4 motherboards. AMD further clarifies that "motherboards with AMD fTPM 3.*.0" are affected. If you are not sure the company says: Correctly functioning TPM attestation on my Ryzen 5700G PC The company has explained the situation and its implications and how it can lead systems into BitLocker recovery: We are not sure why the board makers chose not to do so, perhaps they noticed some major issue elsewhere; and so AMD now recommends contacting your board's manufacturer directly if you are still having TPM attestation failures and related BitLocker issues or encountering other problems. For example, AMD notes that gamers may be unable to compete in online cash tournaments. The company writes: BitLocker lockout can be a massive problem if you are not careful and so it is recommended that you bookmark this official guide from Microsoft. You can find the support article regarding TPM attestation here on AMD's official website.

Now, honestly. Are these benchmarks justify a need for a clean install? I would opt for it if the performance was dramatically better, but for just a few digits up, I don't think it is worth the fuss. Also, I have my doubts for this test. Before a "dirty" install, I cleanup all OS garbage. I also do this after the installation. I haven't noticed the slightest difference between the two.

I say good

After updating to One UI 7 I'm facing fingerprint issues. The phone is having hard times in detecting my fingerprints. I have already tried deleting the fingerprints and re-registering them. I have also tried to register the same finger for all 4 fingerprint slots.

Azure AI makes GPT-4.1 fine-tuning faster and more personalizable by Paul Hill Microsoft has updated its Azure AI Foundry portal and Azure OpenAI Service APIs and SDKs to support Direct Preference Optimization (DPO) for GPT-4.1 and GPT-4.1-mini. Direct Preference Optimization (DPO) is a fine-tuning technique that can be used to adjust model weights based on human preferences using a pair of preferred and non-preferred responses. One of the main benefits of using DPO over Reinforcement Learning from Human Feedback (RLHF) is that it’s computationally lighter and faster while being just as effective for model alignment. Organizations can use this method to train models to match their specific brand voice, safety requirements, or conversational styles. In addition to using DPO for model fine-tuning, Microsoft has expanded Azure AI’s Global Training to 12 new regions including East US, West Europe, UK South, Switzerland North, and more. Despite the expansion, it’s still considered to be a public preview. Microsoft said that users should expect and watch for new features coming soon including pause/resume functionality and continuous fine-tuning. It will also be bringing GPT-4.1-nano to these new regions. The expansion of Global Training is important for data sovereignty, which is becoming a more important issue with the European Union pushing for European’s data to be handled in Europe to ensure better privacy. Finally, Microsoft has released the new Responses API which supports your fine-tuned models, making it easier for developers to use them inside of other applications. Microsoft said this API is ideal for agentic workflows as “it supports stateful, multi-turn conversations and allows seamless tool calling, automatically stitching everything together in the background.” The Responses API can also keep track of conversations so that the model can remember context, you can see how models reason through answers, it can let users check the progress while a response generates, and it supports background processing and works with tools like web search and file lookup. Image via Depositphotos.com