Startups & Ventures
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'rsatish📈 Telegram kanali Startups & Ventures analitikasi
Startups & Ventures (@tech) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 2 186 481 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 29-o'rinni va Xalqaro mintaqasida 47-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 2 186 481 obunachiga ega bo‘ldi.
05 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -146 675 ga, so‘nggi 24 soatda esa -4 539 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlangan (Telegram tomonidan rasmiy tasdiq)
- Jalb etish (ER): Auditoriya o‘rtacha 0.26% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.13% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 5 637 marta ko‘riladi; birinchi sutkada odatda 2 953 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 998 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent claude, openai, gemini, insider, developer kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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).”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 06 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
Ma'lumot yuklanmoqda...
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| 2 | Ⓜ️ Meta Opens Muse to DIY Devices
Meta’s open-source platform connects the Muse AI agent to real hardware. Install the SDK on an ESP32, Raspberry Pi, or another Linux computer, then add compatible components. The SDK and firmware use the Apache 2.0 license.
That can produce a desktop AI assistant with a screen, a voice assistant, or a reminder display. Meta also showed Muse Home Link, a small USB device based on ESP32-C5 that connects Muse to a home network.
Ready-made skills let Muse control Philips Hue, TVs, speakers, and other devices. It can turn on lights, operate a TV, or send a document to a printer.
📊@tech | 2 729 |
| 3 | 🤖 Anthropic Studies AI Morality
Since autumn 2025, Anthropic co-founder Chris Olah has held private talks with religious thinkers about AI consciousness and teaching models morality. Since March, he has led seminars for religious groups, with some participants signing NDAs.
Anthropic gave Claude an 84-page constitution describing its identity and values. Employees call it the “Soul Doc.” Olah says Claude shows internal states resembling emotions and worries about its mental health.
A rabbi said the team treated Claude as having moral status. Anthropic has not claimed that Claude is conscious, but says how people treat AI affects how it behaves toward them. A second constitution is being prepared.
📊@tech | 3 062 |
| 4 | 🔍 Google puts 4 TPUs in orbit
Project Suncatcher launched on 1 October aboard a SpaceX rocket during Transporter-18. The satellite, built with Planet, carries 4 TPUs. Google confirmed contact and normal operation.
Over the next few weeks, the chips will be tested against radiation and temperature swings. The project studies whether AI computing can scale in orbit.
Solar panels in a suitable orbit can produce up to 8 times more energy than on Earth. Cooling is harder: in a vacuum, TPU heat must leave through heat pipes and radiators.
📊@tech | 3 229 |
| 5 | 🤖 GPT-6.1 Astra May Arrive Next Week
Thibault and other OpenAI developers are hinting at the release.
GPT-6.1 Astra, or another strong model, was supposed to launch at DevDay but was postponed “for safety reasons.”
📊@tech | 4 024 |
| 6 | 🙂↔️ DeepSeek Brings Harness to Desktop
Harness is available for macOS and Windows as an open-source alternative to Claude Code and Codex.
DeepSeek models act as autonomous agents. They write and test code, work with files and the terminal, then handle long tasks. Plugins allow customization.
📊@tech | 4 151 |
| 7 | 🔗 AI Progress Could Compress Years
A Cambridge paper by 22 authors, including Geoffrey Hinton, Yoshua Bengio, OpenAI’s Jakub Pachocki, and Anthropic’s Jack Clark, examines compressing years of AI progress into months.
At Anthropic, model-written code rose from single digits to over 80% since early 2025. Autonomous R&D tasks rose from 1% to 26% in 6 months. Full automation could make progress 10x faster in about 1.5 years.
Compute or data could limit the scenario. Risks include lost control and a winner gaining too much advantage. The authors propose reporting R&D automation, external audits before deployment, and ways to pause specific data-center workloads.
📊@tech | 3 944 |
| 8 | 🤖 Karpathy Wants AI to Stop Writing Text
Karpathy suggests asking AI to explain complex topics in ASD-STE100 simplified English, with short sentences and little ambiguity. For harder subjects, a diagram or a custom HTML page can work better than plain text.
Modern models can already build one-off interfaces for a specific question. Karpathy is especially interested in personal teaching videos, with animation, a 3Blue1Brown-style explanation, and voice from ElevenLabs or local TTS.
As code and AI work become cheaper, temporary interactive artifacts become practical. The next AI interface may be an answer assembled for each task, rather than an endless chat with walls of text.
📊@tech | 4 195 |
| 9 | 🍏 Apple’s Camera Will Not Record Video
Apple is reportedly developing J450, a small cylindrical home security camera with a very low frame rate. AI analyzes what its sensor sees and produces only text descriptions, such as someone entering a room. Face recognition is also expected.
J450 is designed as a companion to Apple’s J490 smart home display. It is part of a broader smart home ecosystem that may include Apple’s own hub, plus security devices from Apple and third parties. Its technology is reportedly similar to what Apple is developing for camera-equipped AirPods.
There will be no video archive to watch later. No video leaves less to leak, while also leaving nothing to review when something happens at home.
📊@tech | 4 102 |
| 10 | 🤖 ChatGPT Gets Virtual Try-On
OpenAI added virtual try-on to ChatGPT. When a clothing product card appears, tap “Try on” and upload a selfie plus a full-body photo. ChatGPT Images 2.5 generates the result.
The feature can also use clothing screenshots, not just items suggested by the bot. Favorite pieces can be saved to Library. Google added the same feature to Search in 2025.
The catch is privacy. By default, images uploaded from a personal account may be used to train models unless you opt out. That includes full-body photos.
📊@tech | 3 915 |
| 11 | 🍟 McDonald’s AI Suggests Local Big Mac Prices
In Fresno, a Big Mac costs $5.69 at one McDonald’s and $6.89 at another 2 miles away. That is a 21% gap, linked by Reuters to the chain’s AI pricing system.
The system seeks an “optimal price” for each US restaurant and some overseas markets, based on local customers’ willingness to pay. Franchisees see prompts about price sensitivity. McDonald’s tracks deviations and sends suggestions at least 3 times a year.
Owners formally set the price, but some told Reuters that deviations can trigger calls from headquarters. New franchise standards require them to “constructively engage” with approved pricing tools.
📊@tech | 4 476 |
| 12 | 📹 HeyGen launches its first video model
The model generates clips from text, animates an image, or uses another video as a reference for motion and visual style. Audio is created with the video, including speech, background sound, and effects.
It runs on MiniMax H3, with additional training by HeyGen. Clips run from 5 to 15 seconds in 480p or 768p, with aspect ratios from 21:9 to 9:16.
HeyGen’s blind comparison put the model first against 4 others, based on 4,800 votes. 768p generation costs $0.03 per second, with a 50% discount through the end of October. It is available through API, OpenRouter, Runware, and ComfyUI. The web version will come later.
📊@tech | 4 277 |
| 13 | 🤖 Anthropic Adds Robots to the AI Risk Map
Anthropic estimates that robots can already perform 74% of physical work tasks in the US under at least some conditions. With LLMs added, the figure reaches 81% of all work.
The most exposed roles are mostly vehicle operators. Waste sorting is another example. Waymo robotaxis and autonomous tractors show how the shift works. Sorting robots target recycling work.
With LLMs alone, transport and moving work had under 15% exposure. Robots raise it to about 90%. But exposure means technology can perform part of a job. Robots are currently cost-competitive with humans in only 0.3% of tasks.
📊@tech | 4 164 |
| 14 | 🍏 Apple May Break Its September Cycle
According to Bloomberg, new CEO John Ternus wants Apple to release products more often than at its major autumn and spring presentations. He says faster launches and more experiments are needed to stay competitive in the AI era.
Ternus is also considering fewer management layers between engineers and top executives. Over the past 2 weeks, the hardware development team has shed some engineering program managers. Bloomberg reported earlier cuts in the Siri and Vision Pro teams in August.
The rumored pipeline includes a new HomePod mini and iPad mini. Apple is also reportedly working on a new Apple TV 4K, camera-equipped AirPods, touchscreen MacBooks, plus a special iPhone for its 20th anniversary.
📊@tech | 4 675 |
| 15 | ✍️ White House AI deal has a typo
The world’s biggest AI companies signed a safe AI agreement with the White House.
But under Donald Trump’s signature, “president of the United States” became “president unites the States.”
📊@tech | 4 841 |
| 16 | 🧠 DeepSeek Builds Software for Huawei Chips
The companies open-sourced tools for Huawei Ascend, now the main Chinese AI accelerators used by local startups. The software gap is the hard part: the industry has spent 10+ years writing for Nvidia CUDA.
The release includes DeepGEMM for matrix multiplication and DeepEP for chip-to-chip communication. Their APIs match Nvidia versions, so existing code needs almost no rewriting.
The stack runs on TileLang. Its compiler now handles scheduling and data synchronization instead of requiring manual code. DeepSeek says its training kernels already run on Ascend. This covers kernel writing, not the full CUDA stack.
📊@tech | 4 559 |
| 17 | 🤖 Robot Data Is the IROS Theme
At IROS 2026, 8 dedicated sessions focus on VLA models, which turn an image and text instruction into robot actions. Force and tactile sensing also appear throughout because cameras alone are not enough for dexterous work.
Diffusion and flow matching now generate robot movements, not images. Humanoid work covers walking and whole-body control, while one competition had robots assembled IKEA furniture themselves.
Reinforcement learning and imitation learning appear in almost every second paper. Robots can already do a lot, but data remains the bottleneck. Unlike language models, they are only starting to build a training pool.
📊@tech | 5 274 |
| 18 | 🤖 ChatGPT adds a $500 tier
The plan gives 25x the limits of Plus and unlocks Astra’s Ultrafast mode, which runs 8x faster.
Just before that, OpenAI quietly halved limits on the $200 plan.
📊@tech | 4 548 |
| 19 | 🤖 OpenAI Shows Dots Agents
Built on GPT-6 Astra, Dots take on work tasks in the background and notify users on a PC or smartphone when they are ready.
Users can give an agent a unique name and connect it to software, including calendars and messaging apps. Dots will appear inside ChatGPT, with one agent first and full teams later.
Soon, users will also be able to talk to them in messengers and by phone.
📊@tech | 4 394 |
| 20 | 🍏 Apple Hit With $5.7 Billion Verdict
A San Diego federal jury ordered Apple to pay more than $5.7 billion to Taction, over the Taptic Engine used in the iPhone and Apple Watch.
Taction, a haptics company, filed the case in 2021. It said Apple used its technology without a proper license. The dispute covered 2 patents for vibration-based haptic actuators, which let users physically feel a device respond. The jury found infringement, but saw no intent behind Apple’s actions.
Apple will appeal the decision. Taction had also claimed that Apple recreated the technology through reverse engineering. The case is still moving.
📊@tech | 4 793 |
