Startups & Ventures
Kanalga Telegramβda oβtish
A hub for startup news, trends, and insights, covering the global startup ecosystem for founders, investors, and innovators. Community: @startupdis Buy Ads: @strategy (this is our only account).
Ko'proq ko'rsatishπ Telegram kanali Startups & Ventures analitikasi
Startups & Ventures (@tech) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 2 088 203 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 34-o'rinni va Xalqaro mintaqasida 48-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 2 088 203 obunachiga ega boβldi.
25 Oktabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -149 012 ga, soβnggi 24 soatda esa -3 469 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlangan (Telegram tomonidan rasmiy tasdiq)
- Jalb etish (ER): Auditoriya oβrtacha 0.26% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.14% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 5 473 marta koβriladi; birinchi sutkada odatda 2 966 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 1 127 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent claude, openai, gemini, insider, developer kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
βA hub for startup news, trends, and insights, covering the global startup ecosystem for founders, investors, and innovators.
Community: @startupdis
Buy Ads: @strategy (this is our only account).β
Yuqori yangilanish chastotasi (oxirgi maβlumot 26 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
2 088 203
Obunachilar
-3 46924 soatlar
-35 6087 kun
-149 01230 kun
Postlar arxiv
2 088 590
π FigureAIβs Robot Nearly Beats Human in 10-Hour Sorting
FigureAI ran a 10-hour experiment where a robot competed against a human in sorting packages. The human took legally mandated breaks, while the robot worked nonstop and autonomously.
The task required quick reactions, fine motor skills, and some reasoning. The human sorted 12,924 packages, the robot 12,732, with an average speed difference of just 0.04 seconds.
The robotβs endurance nearly matched the humanβs speed, but the human still won by a small margin. FigureAIβs creator said this was the last time a human would win.
π@tech
2 088 590
π Google AI Studio can now generate Android apps from prompts
Google added native Android app generation to AI Studio. Users can describe an idea in plain language, and the system writes the app in Kotlin.
The generated app can be tested directly in a browser emulator and installed on a real Android device.
The gap between idea and APK keeps shrinking.
π @tech
2 088 590
βοΈ Meta trains AI on employee actions amid layoffs
On April 30, Mark Zuckerberg told managers that training AI models on employee actions will sharply improve their capabilities. Meta uses data from computer sessions, code, mouse movements, clicks, and keystrokes to teach AI agents.
Meta believes its employeesβ higher intelligence offers better training data than external annotators. This approach is part of the Model Capability Initiative, reported by Reuters on April 21.
At the same time, Meta announced layoffs of 8,000 employees and reassigned 7,000 more to AI roles. The company is betting on AI trained from internal work to gain an edge.
π@tech
2 088 590
ποΈ Alibaba launches Qwen3.7-Max AI
Alibaba released Qwen3.7-Max, a free AI model outperforming Kimi-K2.6 and Claude Opus 4.6 in Max mode on all benchmarks.
It excels at coding and agent tasks, runs autonomously for tens of hours, and supports 1000+ tools with a 1 million token context window.
π@tech
2 088 590
π± Apple turns imperfect chips into a bestselling MacBook
The Wall Street Journal reports that Apple uses A18 Pro chips with one disabled graphics core in the new MacBook Neo.
These are chips that did not fully meet the specifications for the iPhone 16 Pro, where Apple reserves the highest-performing versions.
Demand for the lower-cost MacBook was so strong that Apple reportedly ran out of these partially disabled chips and began using fully functional chips with one core intentionally turned off.
What looks like manufacturing waste can become a product category
π @tech
2 088 590
π Figma launches built-in design AI agent
Figma introduced its own AI agent that works directly inside the main app window, removing the need for third-party AI tools.
The agent quickly learns the current design system and navigates between frames. It can edit layouts, find references, or create alternative design versions.
π@tech
2 088 590
π€ Claude Code prints token usage receipts
Developer Chris Hutchinson connected a thermal printer to Claude Code to print real receipts after each session. The receipts show token usage by model, input and output counts, total cost, and a QR code.
Claude Code is an AI platform where token consumption can add up quickly. The receipts use the SessionEnd hook and support Epson printers, HTML, or ASCII art in terminals.
π@tech
2 088 590
+4
π Google launches audio smart glasses this fall
Google will release audio smart glasses this fall under its Android XR platform, developed with Samsung and Qualcomm. The first model is audio-only, with a display version to follow.
The audio glasses deliver sound via private speakers and respond to "Hey Google" or touch. They identify objects, provide navigation, and handle calls and messages without a phone.
Designed with Gentle Monster and Warby Parker the frames offer style and comfort. Features include photo/video capture by voice, real-time translation with tone matching, and multitasking via Gemini Intelligence
They support both Android and iOS devices, broadening their compatibility.
π@tech
2 088 590
π Google unveils Gemini Omni video model
Google introduced Gemini Omni, a model that creates videos from any input: images, sound, video, or text. It can even turn a simple hand drawing into a full scene.
Gemini Omni understands physics and combines this with Gemini's real-world knowledge and reasoning. It also allows video editing by voice commands, adjusting actions, angles, or lighting.
Each edit builds on the previous one, keeping characters consistent and preserving the scene's physics. The model maintains context for the entire video instead of editing frames independently.
π@tech
2 088 590
π Google launches generative search interface
Google is rolling out a free generative search interface that builds custom visual tools and simulations tailored to each query. It analyzes the question, designs a response layout, fetches data, and generates interactive code on the fly.
The search creates small apps for every question, offering more than just text answers. Soon, multiple AI agents will be integrated to handle different tasks directly within search, starting with information agents.
These agents scan the entire web, including blogs, news, social media, and real-time data on finance, shopping, and sports. This aims to deliver constantly updated results specific to user queries.
π@tech
2 088 590
+3
π Google Unveils Gemini 3.5 and New AI Tools
Google introduced Gemini 3.5 Flash, their fastest and smartest model yet, outperforming Gemini 3.1 Pro in coding and long tasks. The AI now monitors global events and sends alerts on urgent news or releases.
Gemini also gained a real-time design generator called Stitch, a market analysis AI for finding best prices, and a mini-app generator in search to create simple web apps. The Gemini app got a major redesign with article-style responses.
These updates are available to all users, aiming to streamline workflows and information access.
π @tech
2 088 590
π§βπ» GitHub Hack Exposes 4,000 Repos
Hackers accessed about 4,000 internal GitHub repositories and offered the source code for $50,000.
They exploited a flaw in a VS Code extension to breach the platform.
π@tech
2 088 590
π€ OpenClaw spends $1.3M monthly on Codex tokens
The creator of OpenClaw spends $1.3 million per month on Codex tokens, using 603 billion tokens and making 7.6 million requests in 30 days.
This covers 100 agents running constantly to check every PR and issue.
OpenClaw agents find security holes, close old bugs, deduplicate issues, check performance, ban spammers, and even create temporary environments.
Some agents listen to team meetings and start PRs during feature discussions.
π@tech
2 088 590
π Apple turns Siri into chat bot in iOS 27
In iOS 27, Siri becomes a standalone chat bot app with dialogue history, accessible via Siri or a swipe down from the center screen.
Chats auto-delete by default after 30 days, a year, or never, unlike competitors that require manual incognito modes. Apple also limits what Siri remembers and for how long.
Siri will function like ChatGPT or Claude, offering conversational AI with privacy controls built in.
Apple is also updating Genmoji, its AI emoji generator, to suggest emojis based on photos and common phrases, improving on last yearβs clunky launch.
π@tech
2 088 590
+2
π€ Cursor launches Composer 2.5 AI model
Cursor released Composer 2.5, their most powerful model yet.
It writes code at the level of Claude Opus 4.7 but is much more efficient.
Composer 2.5 improves handling of long tasks and was trained on its own errors, boosting answer accuracy.
π@tech
2 088 590
A chart shows AI use is still limited. Red marks users of agents, yellow those paying for chatbots, green those who tried free plans. The rest never used AI.
This suggests AI technology is in an early adoption phase. Even now, there is not enough compute power for inference.
π @tech
2 088 590
π£οΈ X users criticized an βAI Monetβ that was actually painted by Monet
A blogger posted an image on X and said it was generated in the style of Claude Monet. He asked people to explain why it looked worse than the real thing.
Hundreds of users responded with detailed critiques. They called it soulless, complained about the composition, and pointed to supposed flaws in depth and color.
The catch: the image was an actual Monet painting from his Water Lilies series.
π @tech
2 088 590
π₯ Microsoft launches Agentic AI Developer exam
Microsoft introduced the Agentic AI Developer certification on GitHub under code GH-600. The exam tests skills in orchestrating AI agents and costs $165.
The certification includes a detailed study guide, recommended prep materials, and a mini practice test in a sandbox environment. Passing grants official recognition as a skilled AI orchestrator.
π@tech
