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	<title>Tech &#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>Tech &#8211; Firethering</title>
	<link>https://firethering.com</link>
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	<item>
		<title>“Mostly My Fault”: Inside Sam Altman’s High-Stakes Gamble to Save OpenAI’s Dominance</title>
		<link>https://firethering.com/sam-altman-openai-next-12-months/</link>
					<comments>https://firethering.com/sam-altman-openai-next-12-months/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Mon, 24 Aug 2026 15:30:20 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[OpenAI]]></category>
		<category><![CDATA[Sam Altman]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7746</guid>

					<description><![CDATA[It’s been a little over a month since Sam Altman admitted something you don't often hear from the CEO of the company that helped kick off the generative AI boom.

“We did not have our best last 12 months ever, which is mostly my fault.”

Then he raised the stakes.

Altman said OpenAI is about to have its best 12 months to date.

A month later, that promise is worth looking at more closely because OpenAI isn't simply trying to release a better model.

It's spending enormous amounts of money on compute, pushing deeper into AI agents and products, competing with increasingly capable rivals, and making bets on infrastructure that could shape how the company operates for years.

So what changed?

And more importantly, what exactly is Altman betting on to turn a year he largely blames himself for into OpenAI's best one yet?]]></description>
		
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		<item>
		<title>To Escape Google, You Had to Buy a Pixel. Motorola Is About to Change That.</title>
		<link>https://firethering.com/grapheneos-motorola-phones/</link>
					<comments>https://firethering.com/grapheneos-motorola-phones/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Sat, 22 Aug 2026 20:55:13 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[Google]]></category>
		<category><![CDATA[Open Source]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7721</guid>

					<description><![CDATA[For years, there was a strange contradiction at the heart of one of Android’s most privacy-focused alternatives: if you wanted to get away from Google’s software, you generally had to buy a Google phone.

GrapheneOS has largely been tied to the Pixel because Google’s hardware has provided the security features the project needs to build its hardened version of Android. It was an engineering compromise, not exactly an endorsement of the Google ecosystem.

Now, that compromise may finally be ending.

Motorola and the GrapheneOS project are working together on a new generation of Motorola phones that are expected to support GrapheneOS in 2027. For the first time, the project is preparing to expand beyond Pixel hardware with support from another major smartphone maker.

That sounds like a simple hardware partnership.

It isn't.

Because getting GrapheneOS onto another phone isn't as easy as installing a different operating system. The hardware underneath has to meet a demanding set of security requirements and that creates an unexpected problem for anyone hoping for a cheap, privacy-focused phone.]]></description>
		
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			</item>
		<item>
		<title>Cursor Origin Doesn’t Want to Replace GitHub. (Yet.)</title>
		<link>https://firethering.com/cursor-origin-github/</link>
					<comments>https://firethering.com/cursor-origin-github/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Fri, 21 Aug 2026 18:36:06 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Github]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7714</guid>

					<description><![CDATA[For years, GitHub was the boring part of software development.

Developers wrote code, opened a pull request, waited for review, merged it, and moved on. The system was built around a fairly simple assumption: a human was creating most of the work.

That workflow starts to look a little different when your coding assistant can work on multiple tasks, generate changes and open pull requests while you're doing something else.

Cursor seems to be betting that this is going to change more than just how developers write code.

The company just launched Origin, its own code-hosting platform, bringing repositories, pull requests and Cursor's AI agents into the same environment.

Then, almost immediately, GitHub had a major outage. The timing made for an easy headline: Cursor launches a GitHub competitor as GitHub goes down.

But that's not really what matters. GitHub came back up.

What matters is why Cursor is moving into code hosting at all and what it sees changing as AI agents become a much bigger part of software development.

Because Origin isn't really about giving developers another place to store their Git repositories.]]></description>
		
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			</item>
		<item>
		<title>6 Best Chrome Alternatives That Actually Respect Your Privacy</title>
		<link>https://firethering.com/best-chrome-alternatives/</link>
					<comments>https://firethering.com/best-chrome-alternatives/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Wed, 19 Aug 2026 12:33:58 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Picks]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7684</guid>

					<description><![CDATA[Your browser knows more about you than you probably realize.

Every search, website, click, and login passes through the software you use to access the internet. And while most browsers promise some level of privacy, they don't all protect you in the same way.

So why settle for a browser that tracks you when you can use one that actually respects your privacy? And if it can also keep unwanted trackers away, even better.

There are plenty of options out there, but this list looks at some genuinely useful alternatives that don't get nearly as much attention as the usual names. Some offer privacy protections you might otherwise expect from a paid product, while others take a completely different approach.

None of them is perfect, and each comes with its own trade-offs. But if you're looking to break free from heavily tracking browsers like Chrome, there's likely an option here that fits the way you browse.]]></description>
		
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			</item>
		<item>
		<title>A Man Tried to Hack a Court AI That Didn’t Exist</title>
		<link>https://firethering.com/a-man-tried-to-hack-a-court-ai-that-didnt-exist/</link>
					<comments>https://firethering.com/a-man-tried-to-hack-a-court-ai-that-didnt-exist/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Sun, 16 Aug 2026 15:11:17 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7671</guid>

					<description><![CDATA[A Connecticut man appears to have tried to use prompt injection to influence an AI system that he believed might be involved in handling his court case.

He hid instructions inside his legal filings, formatting them so they would be difficult for a human reader to see but readable by software processing the document. The instructions told any AI reviewing the filing to favor his arguments and disregard earlier decisions that went against him.

There was just one problem: the court wasn't using AI to review or decide the case.

The hidden prompts had no effect on the ruling. But the judge still found the tactic serious enough to warrant sanctions, particularly after the man continued hiding messages in later filings even after being warned.

The case may sound bizarre, but the judge saw something bigger in it: as AI becomes part of legal and other document-processing systems, prompt injection is no longer just a problem inside chatbots.

The documents themselves can become the attack surface.]]></description>
		
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			</item>
		<item>
		<title>Anthropic Added Invisible Watermarks to Claude. Someone Already Built a Tool to Remove Them.</title>
		<link>https://firethering.com/claude-watermark-remover/</link>
					<comments>https://firethering.com/claude-watermark-remover/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Sat, 15 Aug 2026 10:42:51 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Anthropic]]></category>
		<category><![CDATA[Claude]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7666</guid>

					<description><![CDATA[It hasn't even been a week since Anthropic started putting invisible watermarks into Claude's text.

Now there's an open-source tool built to remove them.

The project, watermarks-remover, has already exploded on GitHub, passing 8.8K+ stars and nearly 900+ forks in a matter of days.

The numbers are impressive. But they're not the most important part.

What's more revealing is how the tool works, what kinds of AI signals it targets, and how quickly a community-built project appeared around a system designed to make AI-generated content easier to identify.

Because this is the uncomfortable reality of building anything in software, companies can spend months designing a new system, but once that system reaches the public, someone can start looking for a way around it.]]></description>
		
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			</item>
		<item>
		<title>Claude Will Soon Leave a Hidden Mark on Everything It Writes</title>
		<link>https://firethering.com/anthropic-claude-ai-watermarking/</link>
					<comments>https://firethering.com/anthropic-claude-ai-watermarking/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Tue, 11 Aug 2026 17:36:24 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Anthropic]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7656</guid>

					<description><![CDATA[Anthropic is adding invisible watermarks to text generated by Claude, and unlike a visible label, the marking is designed to travel with the text when users copy and paste it elsewhere.

The move comes as AI-generated content becomes harder to distinguish from human writing and as the European Union begins requiring AI companies to make generated or manipulated content machine identifiable.

Anthropic says the marking happens at the model level, meaning it can follow Claude-generated text across different products and surfaces rather than being tied to a particular app. The company also says it may survive some editing.

But it raises a question, can AI-generated text actually be made traceable once it leaves the model that created it?

And Anthropic's approach suggests the answer may be more complicated than simply adding a hidden signature to every sentence.]]></description>
		
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			</item>
		<item>
		<title>Zuckerberg Wrote 14 Pages About Open AI. His Best AI Model Is Still Closed.</title>
		<link>https://firethering.com/meta-muse-glimmer-open-source/</link>
					<comments>https://firethering.com/meta-muse-glimmer-open-source/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Mon, 10 Aug 2026 11:01:06 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI Models]]></category>
		<category><![CDATA[Meta]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7645</guid>

					<description><![CDATA[Mark Zuckerberg published a 14-page essay today about why open-source AI is the path forward for humanity. Distribute intelligence rather than centralize it. Put the power in everyone's hands. A new era of personal empowerment.

On the same day, Meta released Muse Glimmer, an open-source version of its most powerful model, Muse Spark, that anyone can download, modify, and build on for free.

But the interesting part is, Muse Spark itself stays closed. You still pay to access it. The open version is nearly identical, Meta says, but the model that actually competes at the frontier, the one Zuckerberg's essay is implicitly defending remains behind a paywall.

That gap between the philosophy and the product decision is what makes today's announcement interesting.]]></description>
		
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			</item>
		<item>
		<title>The Biggest AI Companies Are All Building Their Own Chips. That&#8217;s Not a Coincidence.</title>
		<link>https://firethering.com/ai-companies-building-their-own-chips/</link>
					<comments>https://firethering.com/ai-companies-building-their-own-chips/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Fri, 07 Aug 2026 13:53:15 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Anthropic]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7623</guid>

					<description><![CDATA[Anthropic confirmed this week it's hiring a custom silicon team to design chips for running Claude. The announcement was quiet a job listing, a spokesperson confirmation, no big launch event. Easy to file under "interesting but expected" and move on.

But zoom out for a second.

OpenAI shipped its first custom inference chip in June. Google has been running models on its own TPUs for years. Meta has designed and deployed its own silicon. Mistral is reportedly exploring the same path. And now Anthropic.

Five of the most important AI labs in the world, all arriving at the same decision, within roughly the same window. None of them are copying each other. All of them looked at the same competitive landscape and reached the same conclusion independently.

That kind of convergence doesn't happen by accident. It happens when an entire industry agrees that the thing everyone assumed was someone else's problem is actually the problem and that whoever solves it first has an advantage that's very hard to close later.]]></description>
		
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			</item>
		<item>
		<title>AI Was Supposed to Stop Cheating. Instead, 58,000 Students Must Retake Their Exams.</title>
		<link>https://firethering.com/ai-proctoring-failed-unam-exam/</link>
					<comments>https://firethering.com/ai-proctoring-failed-unam-exam/#respond</comments>
		
		<dc:creator><![CDATA[Mohit Geryani]]></dc:creator>
		<pubDate>Wed, 05 Aug 2026 11:31:02 +0000</pubDate>
				<category><![CDATA[Tech]]></category>
		<category><![CDATA[Trends]]></category>
		<category><![CDATA[AI]]></category>
		<guid isPermaLink="false">https://firethering.com/?p=7616</guid>

					<description><![CDATA[UNAM runs the largest university in Mexico. Every year, hundreds of thousands of students take an entrance exam that determines whether they get in. This year, for the first time, the whole thing went remote.

They deployed a lockdown browser, AI webcam monitoring, and one human supervisor per 150 applicants. The kind of setup that sounds serious on paper.

Then the scores came in. Students hitting 100 or above jumped from 3.5 percent in previous years to 16.3 percent this year. At the very top end, scores of 110 or higher went from 0.9 percent to 5.5 percent. Not a small shift. Not noise. A roughly fivefold increase in top scores, in one year, under one new format.

An expert commission investigated. Their conclusion: administer the entire exam again, in person, to around 58,000 people. The rector apologized to students who hadn't cheated. They now have to prepare for and sit another exam anyway.]]></description>
		
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