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AI NewsFigma co-founder Dylan Field thinks MCP is not a perfect protocol

Figma co-founder Dylan Field thinks MCP is not a perfect protocol

11:33 PM IST ¡ October 20, 2026

Figma co-founder Dylan Field thinks MCP is not a perfect protocol

Despite Figma co-founder Dylan Field’s concerns about MCP (model context protocol), which standardizes how AI agents connect to external data sources and tools, the company is expanding its support for the open source standard. At the design company’s first Config conference held in India, the company announced 20 new MCP partners, including Amp, ClickUp, Dia, Junie by JetBrains, Linear, Meta Muse, Mistral, Notion, OpenCode, and Sarvam Agents. Field has expressed his misgivings about MCP before. Days before this announcement, one of MCP’s co-creators complained about Figma not supporting the open source tool Pi. As part of his response, Field made a comment about Anthropic not making its various resources available via MCP. “I find it interesting that Anthropic (creators of MCP standard) do not expose artifacts/other cloud resources created via MCP,” he wrote on X. “The debate is framed as open vs closed. Everyone always prefers open … obviously. And meanwhile issues of asymmetric context sharing are ignored.” (Field later added thatFigma plans support Pi.) Can you help me understand why you don't make various Anthropic resources available via MCP? Maybe I'm missing something. At a media briefing, I asked Field about this debate. The co-founder explained that while Figma wants to be open, he doesn’t think MCP is a perfect protocol. “I’m really excited about what we’re doing in terms of opening up our ecosystem. I also think that MCP is not a perfect protocol. And I think that it is something that has tons of room for improvement,” the co-founder responded. “It is advantaged more to frontier labs. Also, I understand everyone online who just wants a protocol that they can use when they want to use their Figma data, and I want them to use it, too.” Figma’s CEO said that the reason the company doesn’t want to be fully open is that the more data the company exposes through MCP, the higher the chance of abuse. He also clarified that while most users don’t intend to use MCP or Figma data in a malicious way, the company still has to think about those potential risks.

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ChatGPT now lets you lock your chats

ChatGPT now lets you lock your chats

OpenAIannouncedon Tuesday that users can now lock ChatGPT conversations to keep sensitive chats private when others may have access to their screen or device. Users can secure their locked chats with a four-digit PIN, or use Face ID or Touch ID on supported devices. Unlike the app’s Temporary Chats, which provide a separate session that doesn’t appear in chat history, users can return to Locked Chats at any time. The company says the feature is designed for situations where users might be discussing something personal or planning a surprise and want to keep those conversations private when handing their device to friends or family to show them something in another chat. The addition of locked chats adds a new layer of privacy to ChatGPT, as the app is increasingly used forpersonal conversations. Of course, while locking a chat can limit access, it doesn’t address concerns about how sensitive information is stored or handled. OpenAI notes that locking a chat doesn’t create end-to-end encryption or a separate encrypted vault, change how long it retains the chat, remove information that ChatGPT remembered before a chat was locked, or change the “Improve the model for everyone” setting. Once users lock a chat, it moves to a dedicated “Locked Chats” section, where it’s kept separate from regular chat history, pinned conversations, and chat search results. With Memory enabled, Locked Chats has its own separate memory shared across conversations within the section. New messages sent after locking a chat can update that memory, but don’t update regular Memory. That means new information from locked chats won’t leak into regular chats. OpenAI says resetting a PIN permanently deletes all locked chats, files, and other content protected by the previous PIN. Additionally, the Locked Chats option isn’t available for temporary chats, archived chats, group chats, chats created from a shared link, chats with scheduled tasks, and chats with meeting recordings. Locked Chatswill be available to users on ChatGPT Free, Go, Plus, Pro, Business, Enterprise, and Edu plans. The company notes that the feature is not available on ChatGPT for Healthcare. The feature is starting to roll out on Tuesday, so it may not be live yet for all users.

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Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers

Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers

On Tuesday, Googleannouncedthat TorchTPU, its long-awaited version of PyTorch, is now available as an open-source project. With this, Google joins Amazon in trying tobreak Nvidia’s strangleholdon the AI industry, where most AI apps are written by default to run on Nvidia’s chips, or GPUs. PyTorch is the popular open-source toolkit that AI app developers and startups use to build, train, and run AI models. It is, by some accounts, used by 85% of the AI apps. PyTorch was originally developed by Meta (then Facebook) in 2016, long before the world had an inkling that LLMs would change the world. At the time, Nvidia’s GPUs were already the standard hardware for AI research, so many of PyTorch’s features were built to work specifically with them. In 2022, Meta turned PyTorch over to the Linux Foundation, a nonprofit that manages many important open source projects. Google’s version, TorchTPU, lets AI apps run on Google’s AI chips, called Tensor Processing Units (TPUs). It also makes it easy to move existing PyTorch apps to TPUs and, therefore, to Google Cloud. Developers can do this with a simple configuration change and no re-writing of their apps. Amazon made asimilar announcement Monday,when it released its own version of PyTorch, called TorchNeuron. TorchNeuron allows AI apps to be ported to Amazon’s homegrown AI chip, Trainium, and to AWS with no rewriting. Amazon also said it going even further in its effort to loosen Nvidia’s hold on PyTorch. It is submitting code to the main PyTorch project that decouples various features from Nvidia’s chips, making it more open to any hardware by default. Google may be one-upping Amazon in a few ways, however. It says it worked directly with Meta, Hugging Face, Inferact (maker of vLLM) RadixArk (maker of SGLang), and others to ensure that TorchTPU’s features and code libraries work well with these popular AI development tools, just as the original PyTorch does. Plus the search giant has launched a dedicated tool, theTPU agent suite, to help developers move their apps to Google’s chips and cloud and fix errors along the way. It even updated its popular LiteRT tool, which runs AI on phones, laptops and embedded devices, to work better with PyTorch AI apps. None of this means AI app developers will automatically ditch Nvidia’s hardware en masse just because they can now easily move to alternative chips and clouds. But Amazon and Google are clearly working to end Nvidia’s advantage.

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OpenAI acquires startup Orchestra Bio⁠ to beef up its biotech business

OpenAI acquires startup Orchestra Bio⁠ to beef up its biotech business

OpenAI on Tuesday acquired a four-year-old AI biotech software startup called Orchestra Bio, the companyannouncedvia its website. Terms of the deal were not disclosed, but the startup had reportedly raisedaround $20 millionas of 2025 from backers like Andreessen Horowitz, Atria, and 8VC. Orchestra creates AI agents that help biotech companies manage the minutiae of drug discovery operations, from tracking finances to resolving scheduling issues with clinical trials. OpenAI says it’s adding Orchestra’s team and technology to work onRosalind, its AI model for life sciences research, and to its related Rosalind Workbench tool, a harness that aims to help researchers plan experiments and analyze results. OpenAI has already won some big names as customers for Rosalind, including, it says,Moderna⁠andNovo Nordisk⁠. The acquisition is a classic example of how the biggest AI labs (namely OpenAI and Anthropic) are building ever more software for the biggest industries, like pharma. In the startup world, there is an ongoing fear that at any moment, the labs will launch new features and become competitors. In this case, Orchestra is getting absorbed, rather than stomped out.

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SpaceX’s AI business is beating expectations

SpaceX’s AI business is beating expectations

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