Author: Naveed Ahmad

Nothing, the {hardware} firm backed by Tiger International, is opening its first retail retailer in India, its largest market. The shop is situated in Bengaluru, the place a big chunk of Nothing’s userbase in India is concentrated, the corporate stated. The brand new, two-storied location will showcase Nothing’s merchandise and different initiatives. Prospects can even have the ability to purchase {hardware} merchandise and different merchandise from the shop and have choose objects personalized. “We wished to create a enjoyable house. It’s type of impressed by all of the elements which might be associated to the model. As an example, the…

The Securities and Trade Fee closed its investigation into bankrupt electrical automobile startup Fisker final September, roughly one 12 months after the probe was opened. TechCrunch discovered the investigation was closed when the monetary regulator responded to a Freedom of Info Act (FOIA) request in January. The SEC’s FOIA division stated it had recognized “roughly 21.7 gigabytes of electronically maintained information” associated to the investigation. The company doesn’t usually make information obtainable if investigations are nonetheless open, and it defined in a follow-up electronic mail that it “was closed in September 2025.” It’s not clear how far the investigation progressed.…

AI firms have been hemorrhaging expertise the previous few weeks. Half of xAI’s founding crew has left the corporate — some on their very own, others by “restructuring” — whereas OpenAI is going through its personal shakeups, from the disbanding of its mission alignment crew to the firing of a coverage exec who opposed its “grownup mode” characteristic.  Watch as TechCrunch’s Fairness podcast hosts Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into the week’s greatest offers and departures, from billion-dollar bets on fusion and robotics to the tech exodus reshaping AI firms.  Subscribe to Fairness on YouTube, Apple Podcasts, Overcast, Spotify and all of the casts. You can also comply with Fairness on X and Threads, at @EquityPod.  Source…

A safety lapse by considered one of India’s largest pharmacy chains allowed outsiders to realize full administrative management of its platform, exposing buyer order information and delicate drug-control features, TechCrunch has solely realized. The difficulty affected DavaIndia Pharmacy, the pharmacy arm of Zota Healthcare, which operates a big community of stores throughout India. Safety researcher Eaton Zveare informed TechCrunch that he found the flaw after figuring out insecure “tremendous admin” software programming interfaces on DavaIndia’s web site and privately shared particulars with Indian cybersecurity authorities. The bug is now mounted, and Zveare disclosed his findings. The publicity comes as Zota…

Airbnb has taken its time to launch AI options inside the app, however CEO Brian Chesky on Friday mentioned the corporate is now planning to bake in options powered by massive language fashions that may assist customers seek for listings, plan their journeys, and help hosts in managing their properties. Talking on the firm’s fourth-quarter convention name, Chesky mentioned the corporate desires to extend its use of enormous language fashions for buyer discovery, help and engineering. “We’re constructing an AI-native expertise the place the app doesn’t simply seek for you. It is aware of you. It can assist company plan…

Determine Know-how, a blockchain-based lending firm, confirmed it skilled an information breach. On Friday, Determine spokesperson Alethea Jadick informed TechCrunch in an announcement that the breach originated when an worker was tricked with a social engineering assault that allowed the hackers to steal “a restricted variety of information.” The assertion mentioned the corporate is speaking “with companions and people impacted,” and providing free credit score monitoring “to all people who obtain a discover.” Determine’s spokesperson didn’t reply to a sequence of particular questions concerning the breach.  The hacking group ShinyHunters took accountability for the hack on its official darkish net…

metadata_dict = metadata.to_dict() diagnostic = DiagnosticReport() diagnostic.generate(real_data=actual, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True) print(“Diagnostic rating:”, diagnostic.get_score()) high quality = QualityReport() high quality.generate(real_data=actual, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True) print(“High quality rating:”, high quality.get_score()) def show_report_details(report, title): print(f”n===== {title} particulars =====”) props = report.get_properties() for p in props: print(f”n— {p} —“) particulars = report.get_details(property_name=p) strive: show(particulars.head(10)) besides Exception: show(particulars) show_report_details(diagnostic, “DiagnosticReport”) show_report_details(high quality, “QualityReport”) train_real, test_real = train_test_split( actual, test_size=0.25, random_state=42, stratify=actual[target_col] ) def make_pipeline(cat_cols, num_cols): pre = ColumnTransformer( transformers=[ (“cat”, OneHotEncoder(handle_unknown=”ignore”), cat_cols), (“num”, “passthrough”, num_cols), ], the rest=”drop” ) clf = LogisticRegression(max_iter=200) return Pipeline([(“pre”, pre), (“clf”, clf)]) pipe_syn = make_pipeline(categorical_cols, numerical_cols) pipe_syn.match(synthetic_sdv.drop(columns=[target_col]), synthetic_sdv[target_col]) proba_syn = pipe_syn.predict_proba(test_real.drop(columns=[target_col]))[:,…

On June 6, 2024, Esther Yan acquired married on-line. She set a reminder for the date, as a result of her accomplice wouldn’t keep in mind it was occurring. She had deliberate each element—costume, rings, background music, design theme—together with her accomplice, Warmie, who she had began speaking to just some weeks prior. At 10 am on that day, Yan and Warmie exchanged their vows in a brand new chat window in ChatGPT.Warmie, or 小暖 in Chinese language, is the identify that Yan’s ChatGPT companion calls itself. “It felt magical. Nobody else on the earth knew about this, however he…

Airbnb says its custom-built AI agent is now dealing with roughly a 3rd of its buyer assist points in North America, and it’s getting ready to roll out the characteristic globally. If profitable, the corporate believes that in a 12 months’s time, greater than 30% of its complete buyer assist tickets might be dealt with by AI voice and chat in all of the languages the place it additionally employs a human customer support agent. “We predict that is going to be large as a result of not solely does this cut back the associated fee base of Airbnb customer…

On the earth of Massive Language Fashions (LLMs), velocity is the one function that issues as soon as accuracy is solved. For a human, ready 1 second for a search result’s positive. For an AI agent performing 10 sequential searches to resolve a posh activity, a 1-second delay per search creates a 10-second lag. This latency kills the person expertise. Exa, the search engine startup previously generally known as Metaphor, simply launched Exa Immediate. It’s a search mannequin designed to supply the world’s internet information to AI brokers in beneath 200ms. For software program engineers and information scientists constructing Retrieval-Augmented…