The tech industry has spent the last decade asking whether self-driving cars need lidar sensors, cameras, or all of the above. Lidar company Ouster says it has a new answer: put them both in the same sensor. On Monday, the San Francisco-based company announced a new lineup of lidar sensors it calls “Rev8,” all of…
Nicolas Sauvage believes it takes four years for the best bets to look obvious — thinking that he shared on stage last week at StrictlyVC’s San Francisco event, which TDK Ventures co-hosted. It’s a theory he’s been working to prove since 2019, when he founded the corporate venture arm of the Japanese electronics giant, which…
When Spirit Airways shut down in a single day Saturday — canceling all flights, letting go of 17,000 workers, and telling ticketholders to simply not come to the airport — individuals have been flabbergasted but in addition bereft. For all its indignities, Spirit was low cost. Then certainly one of them had an concept. Hunter…
Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until reliability becomes critical. As LLMs move into production systems, the difference between a prompt that usually works and one that works consistently becomes an engineering concern. In response, the research community has formalized prompting into…
filename_counter: Counter = Counter() all_json_keys: Counter = Counter() samples_for_show: List = [] for i, row in enumerate(tqdm(ds_test, desc=”inspecting structure”, total=200)): if i >= 200: break p = parse_task(row[“task_binary”]) if p[“format”] in (“tar”, “zip”): for name, body in p[“files”].items(): filename_counter[name] += 1 if name.endswith(“.json”) and isinstance(body, str): try: obj = json.loads(body) if isinstance(obj, dict): for k…
You’ve seen this comic before: An anthropomorphic dog sits smiling, surrounded by flames, and says, “This is fine.” It’s become one of the most durable memes of the past decade, and now AI startup Artisan seems to have incorporated it into an ad campaign — an ad for which KC Green, the artist who created…
A brand new research examines how massive language fashions carry out in quite a lot of medical contexts, together with actual emergency room circumstances — the place not less than one mannequin gave the impression to be extra correct than human medical doctors. The research was published this week in Science and comes from a…
Welcome back to TechCrunch Mobility — your central hub for news and insights on the future of transportation. To get this in your inbox, sign up here for free — just click TechCrunch Mobility! We’re going to do a bit of a deep dive today, which may make this newsletter look a little different than…
It was love at first sight. It felt like scouring the mall, dipping in and out of sprawling department stores in search of a specific, elusive item, only to finally find what you’re looking for. Only, I didn’t even know I was searching for something like the Xteink X3, because I never dared dream of…
The fundamental tension in conversational AI has always been a binary choice: respond fast or respond smart. Real-time speech-to-speech (S2S) models — the kind that power natural-feeling voice assistants — start talking almost instantly, but their answers tend to be shallow. Cascaded systems that route speech through a large language model (LLM) are far more…
