Tech
Popular AI leaderboard Arena nearly doubles valuation to $3.1B valuation in 10 months
Arena, which originated in 2023 as a research project at UC Berkeley that crowdsourced rankings of AI models, has raised a $200 million Series B round at a $3.1 billion valuation, it said on Thursday.
This comes after the company said it reached $100 million in annualized run-rate revenue in June.
The round was led by Lightspeed Venture Partners and Khosla Ventures, with Salesforce Ventures, 01 Advisors, Dell Technologies Capital, Endeavor Catalyst, a16z, Felicis and others joining in. Arena previously announced a $150 million Series A in January at a $1.7 billion post-money valuation. At the time, its annualized revenue was $30 million, it said. So that means its valuation has nearly doubled in about 10 months.
Arena provides a crowdsourced platform that is free for consumers to use. People enter prompts or request vibe-coded projects and then rate which model does it better. Arena claims it has tens of millions of monthly visitors.
In September of last year, it introduced its commercial product, AI Evaluations, a service that provides model labs and enterprises with detailed performance analytics based on its community feedback. The timing proved impeccable. This year, AI labs realized that their models were gaming benchmarking tests, finding ways to rack up good scores without truly earning them. At the same time, enterprises wanted help determining which model works best for their own internal needs rather than relying only on standardized benchmarks.
“AI is advancing faster than our ability to evaluate it, and static benchmarks break down once models recognize they’re being tested,” the company said in its funding announcement. “The world needs a neutral third party to measure how safe and aligned AI actually is once it’s in the hands of real people. Arena is stepping into that role today,” it added.
To that end, Arena has also added a new category to its leaderboard: alignment. This is where it ranks models based on issues like unauthorized action (taking actions it wasn’t asked to take); false attribution (wrongly crediting statements or facts to the wrong source); and what it calls “deceptive completion” (lying about completing tasks that it didn’t do).
Currently, a slate of OpenAI’s models are at the top of its preliminary alignment leaderboard, with Claude Opus 5.5 and Claude Fable in sixth and ninth place, respectively.
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Tech
Long live the mechanical keyboard
For a writer, the mechanical keyboard is a beautiful thing. They’re certainly not necessary for everyone, but a well designed mechanical keyboard can turn a tedious day of typing into an aesthetically pleasing experience.
Given that most of my days involve sitting at a desk for hours, having a keyboard that I enjoy using is a necessity. I first got a mechanical keyboard about two years ago — the Keychron K2 — and I’ve never looked back.
Keychron is one of the most prominent brands within the mechanical keyboard industry, having made a name for itself after initially launching via Kickstarter back in 2017. The company has since produced dozens of different keyboards (as well as keypads), and a variety of mouse models.
Unlike other electronics, there isn’t a whole lot to owning a mechanical keyboard. The simplicity is part of the appeal. You unbox them, set them up (the K2 comes with little tilt legs that give you a slightly better angle from which to type), and plug them in.
From here, you have a couple of different options. The K2 comes with a simple USB cable, but there’s also an option for Bluetooth connection. If you value a clean, minimalist workspace, Bluetooth is probably the way to go.
While I am loyal to my older Keychron K2, there are a few upgraded and newer versions to consider. Keychron has released a variety of new models over the past two years, with a broad range of features and price tags.
In many cases, the form factor is the draw. One of the more interesting releases, called the Keychron K8 HE Wireless Magnetic Switch Custom Keyboard, comes with an all-wood body and is equipped with an LED backlight. That one is substantially more expensive at around $200. The K2, meanwhile, costs $60. But if you’re into the look, maybe it’s worth it.
If you’re a gamer, there’s also Keychron’s C0 HE One-Handed 8K Keyboard, which is a keypad built for convenience and speed and has an industrial aesthetic to it. However, interested gamers will have to wait — as it’s currently sold out.
The company has also updated its K, Q, and V series keyboards, with many of those ranging in price from $100 to $200 depending on the features and model.
One of the appealing elements of owning a mechanical keyboards is the versatility. You can swap out the key caps for a wide variety of others (indeed, there’s a whole sub-market devoted to this) or make your own custom caps (I’ve never gone that overboard).
There is also the sound, of course. Some people balk at the accentuated noise of loudly clacking keys, but I’m a fan. In fact, the sound is one of the key selling points for a lot of consumers. The distinct auditory experience produced by said keyboards has even made its way into ASMR videos.
For me, the Keychron’s biggest selling point is its retro form factor. I get really nostalgic for old school electronics, and Keychron scratches this itch pretty well. It’s a beautiful looking device, that brings to mind a different era of computing, when the style was more workman-like, less minimalist.
As far as home office purchases go, you could do a lot worse than to pick yourself up a piece of hardware that makes your desk look like it just time-traveled from the 1990s.
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Tech
The maker of non-text AI model Jev valued at $7.5B just weeks after launch
TypeSafe AI, the developer of Jev, a new type of AI model that gained rapid popularity after launching just a few weeks ago, has raised $870 million at a $7.5 billion valuation. The round was led by Andreessen Horowitz, with participation from Sequoia and existing investor DCVC.
The massive fundraise comes as little surprise given Jev went viral almost instantly after its Sept. 15 release. The startup claims that a third of Fortune 500 companies are already using the model, a remarkably swift adoption by enterprises.
Jev is based on a transformer architecture, but it is not a large language model (LLM). It doesn’t output text, but instead produces probabilities, or what the company calls “calibrated decisions.” What has users and large corporations so excited about Jev is TypeSafe’s claim that it works significantly faster and uses far fewer tokens than LLMs. The company positions its approach as uniquely suited for automating tasks rather than generating text or code.
“We have been super good at human language for four years, but it’s not useful for automation because computers speak a different language,” TypeSafe co-founder Diogo Almeida told TechCrunch last month.
Along with Almeida, who was previously a researcher at OpenAI, TypeSafe was co-founded in 2024 by former Meta research engineer Sasha Sheng and Erik Gafni, an engineer and entrepreneur.
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Tech
AI Agents, Local Hardware, and Security Risks Reshape Tech
Explore the latest tech news, from ChatGPT’s interactive AI tools and Microsoft’s new hardware to cybersecurity threats, robotics, and Big Tech shakeups.
The post AI Agents, Local Hardware, and Security Risks Reshape Tech appeared first on TechRepublic.
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