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	<title>AI &#8211; Firethering</title>
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	<link>https://firethering.com</link>
	<description>Firethering is Your Hub for AI, Open Source and Tech That Actually Matters</description>
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	<title>AI &#8211; Firethering</title>
	<link>https://firethering.com</link>
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	<item>
		<title>Anthropic Secretly Tracked Claude Code Users. Then Called It an &#8220;Experiment.&#8221;</title>
		<link>https://firethering.com/anthropic-claude-code-hidden-user-tracking-privacy-controversy/</link>
					<comments>https://firethering.com/anthropic-claude-code-hidden-user-tracking-privacy-controversy/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Wed, 08 Jul 2026 09:27:08 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Claude]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7562</guid>

					<description><![CDATA[There's a version of this story where Anthropic was trying to protect itself from large-scale model theft. There's another where one of the AI industry's biggest privacy advocates quietly crossed a line its own users never expected.

What makes this headline important isn't just that hidden tracking code existed. It's that the company behind it was Anthropic.

Just months ago, Anthropic publicly refused to let the Trump administration use Claude to surveil American users. The company defended that position in court, arguing that AI companies shouldn't become tools for government surveillance. That stance became part of Anthropic's identity.

Then came a very different decision.

In March, Anthropic quietly added hidden tracking markers to Claude Code that flagged users' timezones, proxy connections, and potential ties to Chinese AI labs. The code remained unnoticed until security researcher Thereallo discovered it last week. After the discovery went public, an Anthropic engineer confirmed it on X, described it as an "experiment" intended to combat account abuse and model distillation, and said the company had already planned to remove it. The tracker was taken down shortly afterward.

The bigger question isn't whether Anthropic had a reason. It's whether a company that built its reputation on privacy can afford to hide surveillance from the very developers it asks to trust its tools.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Leanstral 1.5: Mistral&#8217;s AI Built to Prove Math Ended Up Finding Real Software Bugs</title>
		<link>https://firethering.com/leanstral-1-5-mistral-ai-finds-software-bugs/</link>
					<comments>https://firethering.com/leanstral-1-5-mistral-ai-finds-software-bugs/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Mon, 06 Jul 2026 10:16:50 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[AI Models]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Mistral]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7549</guid>

					<description><![CDATA[Mistral built Leanstral to do something most AI models don't attempt, write formal mathematical proofs that a compiler can verify as correct. Not "pretty sure this is right" correct. Mechanically, provably, no-exceptions correct.

That's a narrow use case, and the audience for it is small. What nobody expected was that a model trained on IMO-level math problems and abstract algebra benchmarks would end up running against open-source codebases and finding bugs that testing and fuzzing had both missed. Five of them previously unreported on GitHub.]]></description>
		
					<wfw:commentRss>https://firethering.com/leanstral-1-5-mistral-ai-finds-software-bugs/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Meetily: Privacy-First AI Meeting Assistant for Windows, macOS &#038; Linux</title>
		<link>https://firethering.com/meetily-privacy-first-ai-meeting-assistant/</link>
					<comments>https://firethering.com/meetily-privacy-first-ai-meeting-assistant/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Sun, 05 Jul 2026 16:35:48 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Productivity]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Linux]]></category>
		<category><![CDATA[macOS]]></category>
		<category><![CDATA[Windows]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7543</guid>

					<description><![CDATA[Meetily is a free and open-source AI meeting assistant that records, transcribes, and summarizes meetings completely on your own device. Its not like other cloud-based meeting assistants, It keeps your conversations private by processing everything locally while supporting multiple AI providers for intelligent meeting summaries.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>7 Open Source AI Coding Agents That Don&#8217;t Need a Subscription</title>
		<link>https://firethering.com/open-source-ai-coding-agents/</link>
					<comments>https://firethering.com/open-source-ai-coding-agents/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Sat, 04 Jul 2026 11:21:17 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[AI Picks]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Agents]]></category>
		<category><![CDATA[AI Tools]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7497</guid>

					<description><![CDATA[Open almost any "best AI coding tools" list and you'll see the same names: Cursor, GitHub Copilot, Claude Code.

They're good tools but they're also closed source and paid.

What's changed over the past year isn't the quality of those products, it's how quickly the open-source alternatives have caught up.

Some can orchestrate multiple agents, remember your projects across sessions, and automate complex development workflows. Many let you bring your own model, whether that's a local LLM, OpenRouter, OpenAI, GLM-5.2, Ornith, DeepSeek, or something else entirely.

More importantly, you're in control. You decide where your code runs, which model powers it, and how your workflow evolves without being locked into a single company's ecosystem.

If you've only looked at the paid options, these are the open-source AI coding tools worth knowing about.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>OmniRoute: Connect All AI Models &#038; Providers Through One API</title>
		<link>https://firethering.com/omniroute-connect-ai-models-providers-one-api/</link>
					<comments>https://firethering.com/omniroute-connect-ai-models-providers-one-api/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Thu, 02 Jul 2026 06:07:34 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[DevTools]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Linux]]></category>
		<category><![CDATA[macOS]]></category>
		<category><![CDATA[Windows]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7487</guid>

					<description><![CDATA[OmniRoute makes it easy to connect your favorite AI tools to hundreds of AI providers through a single endpoint. With automatic provider switching, smart routing, token optimization, and support for popular coding assistants, it helps you build AI applications without worrying about rate limits or changing APIs.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Ornith 1.0: The New Open-Source AI Model for Agentic Coding</title>
		<link>https://firethering.com/ornith-1-0-ai-model-for-agentic-coding/</link>
					<comments>https://firethering.com/ornith-1-0-ai-model-for-agentic-coding/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Wed, 01 Jul 2026 07:39:47 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[AI Models]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Agents]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7477</guid>

					<description><![CDATA[Most reinforcement learning setups for coding models work the same way. Researchers build a harness, a fixed scaffold that tells the model how to approach a category of task, then the model gets rewarded for solving problems inside that structure. The harness stays fixed. Only the model's answers change.

Ornith-1.0, a new open-source coding model family from DeepReinforce is not just about coding, Instead the model writes its own scaffold. At every training step, it looks at the task in front of it and the scaffold it used last time, then proposes a better version of that scaffold before even attempting an answer. The reward doesn't just grade the solution. It grades the scaffold that produced it.

That's a small architectural choice with a strange consequence. A model that gets to design its own training process can, in theory, design one that cheats the verifier instead of solving the actual problem, and DeepReinforce is upfront that this happened during training. The fix they built for it is also worth understanding before getting to the benchmark numbers.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>FluidVoice: AI Voice-to-Text Dictation App for macOS</title>
		<link>https://firethering.com/fluidvoice-ai-voice-to-text-dictation-app-for-macos/</link>
					<comments>https://firethering.com/fluidvoice-ai-voice-to-text-dictation-app-for-macos/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Mon, 29 Jun 2026 16:57:38 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Productivity]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[macOS]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7464</guid>

					<description><![CDATA[If you spend hours writing emails, documents, code, or notes, typing everything can quickly become exhausting. FluidVoice makes dictation feel much more natural by turning your voice into text with fast, accurate speech recognition and optional on-device AI enhancements.

Its built with a local-first approach. Most speech models run directly on your Mac, and its optional Fluid Intelligence engine improves formatting, punctuation, and capitalization without sending your voice recordings to external servers.

If you're writing articles, coding, replying to messages, or simply prefer speaking over typing, FluidVoice offers a fast and privacy-friendly dictation experience for macOS.]]></description>
		
					<wfw:commentRss>https://firethering.com/fluidvoice-ai-voice-to-text-dictation-app-for-macos/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>OpenAI Built Its First AI Chip. It&#8217;s Not Trying to Replace NVIDIA.</title>
		<link>https://firethering.com/openai-first-ai-chip/</link>
					<comments>https://firethering.com/openai-first-ai-chip/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Thu, 25 Jun 2026 07:16:47 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[OpenAI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7460</guid>

					<description><![CDATA[When the news broke that OpenAI had built a custom chip, the instinct was to frame it as a NVIDIA story. Another lab trying to cut the cord, reduce dependence on H100s, claw back some margin from the company that's been printing money off the AI boom.

That's not quite what's happening here.

The chip is called Jalapeño, built with Broadcom, and it doesn't touch training at all. It's an inference chip, meaning it only runs models after they're already built, when a user sends a message and ChatGPT has to respond. The compute-heavy work of actually training those models still runs on NVIDIA hardware. OpenAI isn't replacing NVIDIA. It's going after a different part of the problem entirely, the part that happens millions of times a day, every time someone uses one of their products.

That distinction matters because inference is where AI costs actually accumulate at scale. Training happens once per model. Inference never stops.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>World Monitor: Global Intelligence Dashboard with AI News &#038; Live Maps</title>
		<link>https://firethering.com/world-monitor-ai-global-intelligence-dashboard/</link>
					<comments>https://firethering.com/world-monitor-ai-global-intelligence-dashboard/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Sat, 20 Jun 2026 08:39:05 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[Utilities]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Linux]]></category>
		<category><![CDATA[macOS]]></category>
		<category><![CDATA[Windows]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7441</guid>

					<description><![CDATA[If you regularly follow world news, financial markets, technology, or geopolitical developments, World Monitor offers a much more organized way to stay informed.

Its combination of AI-powered summaries, interactive maps, market data, and optional local AI support makes it a powerful desktop dashboard for researchers, analysts, journalists, and everyday users who want a broader view of what's happening around the world.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Palmier Pro: AI-Powered Video Editor for macOS</title>
		<link>https://firethering.com/palmier-pro-ai-powered-video-editor-for-macos/</link>
					<comments>https://firethering.com/palmier-pro-ai-powered-video-editor-for-macos/#respond</comments>
		
		<dc:creator><![CDATA[Firethering Team]]></dc:creator>
		<pubDate>Sat, 20 Jun 2026 07:00:25 +0000</pubDate>
				<category><![CDATA[Software]]></category>
		<category><![CDATA[AI Tools]]></category>
		<category><![CDATA[Video Editors]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[macOS]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7428</guid>

					<description><![CDATA[AI video generators have become incredibly capable, but the workflow is still fragmented. You generate a clip in one tool, download it, import it into an editor, make changes, then repeat the entire process whenever you need a revision.

Palmier Pro aims to eliminate that loop. Instead of treating AI as a separate website, it brings generation directly into the editing timeline. You can create AI videos, images, and audio alongside your own footage without constantly switching between different applicationsm, this way AI becomes another creative tool.

Beyond generation, Palmier Pro is also a fully featured video editor built natively with Swift for Apple Silicon Macs. It supports multi-track editing, timeline controls, professional exports, and even lets AI agents like Claude, Cursor, and Codex interact with your projects through MCP.]]></description>
		
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