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Chronicles

The story behind the story

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Hark, founded by Figure AI CEO Brett Adcock, previews Handoff, a computer use agent it says outperforms GPT-5.4 and Opus 4.8, and plans for a summer release

Hark, a startup that raised $700 million in Series A funding in May, today launched its agent Hark Handoff, which can use a browser efficiently to complete tasks.

TechCrunch Ivan Mehta

Context & Ripple Effects

Hark raised a $700M-plus Series A for its AI-device effort in May. Handoff adds a browser-using software agent to that ambition, giving the company a nearer-term product surface ahead of any device rollout.

The launch enters a category OpenAI had already defined with ChatGPT Agent’s computer-control capabilities, while hands-on coverage found earlier Operator workflows useful but constrained by what they could browse. Hark is therefore positioning efficiency and model performance as its point of differentiation.

First-order effects

  • Hark now has a summer release target for Handoff, putting its performance claims against GPT-5.4 and Opus 4.8 into a product-facing comparison rather than a funding narrative.
  • Handoff gives Hark a browser-based task-completion offering alongside its stated AI-device mission, broadening the company’s immediate product pitch.

Second-order effects

  • OpenAI and Anthropic become the reference points for Hark’s launch; enterprise buyers evaluating browser agents will have another claimed high-performance option to test against existing agent products.
  • Browser access becomes a more important competitive layer: the earlier limits on what Operator could browse make Hark’s efficiency claim relevant to whether agents can complete workflows reliably.

Third-order effects

  • If browser agents continue to improve, the work interface shifts from applications operated directly by users toward agentic work surfaces that execute multistep tasks across them.
  • Competition may increasingly turn on dependable computer-use execution and distribution, not only on the underlying model named in benchmark comparisons.

The trend: Computer-use agents are becoming a primary product layer for AI companies seeking to automate multistep browser workflows.

Discussion

  • @chamath Chamath Palihapitiya on x
    Pretty cool.
  • @chrisgpt Chris on x
    According to Hark's numbers, Handoff costs $0.51 per million input tokens, $9.09 per million output tokens and takes 3.0 seconds of model latency per turn. Compared with GPT-5.5: 10x cheaper input 3.3x cheaper output 2.3x lower model latency per turn I still think [image]
  • @adcock_brett Brett Adcock on x
    Handoff is a fully capable environment that can handle the open-ended, unpredictable nature of the web to complete end-to-end tasks [video]
  • @adcock_brett Brett Adcock on x
    Claiming the top spot on the industry's most well-known online browser-use eval, Handoff demonstrates frontier-level performance across three browser-use benchmarks [image]
  • @adcock_brett Brett Adcock on x
    Today we're introducing Hark Handoff Handoff has been independently verified as the best internet-use model ever built, outperforming ChatGPT 5.4 & Opus 4.8 While others focus on coding, we focus on everyday life: ordering food, booking flights, shopping, & navigating the web [vi…
  • @hark_labs @hark_labs on x
    Introducing Hark Handoff It is verifiably the best model ever built for using the internet. It can order food, book flights, shop, deeply research, you name it - better and more affordably than frontier models. [video]