✍️ Stress-test your startup idea before it stress-tests your bank account.

A Redditor has launched Déjà View — a service that searches for companies built around similar ideas and reveals how things eventually turned out for them.

Describe your concept, and the platform will show you when comparable startups appeared, how long they survived, and what ultimately made them shut down, pivot, or disappear into the startup graveyard. 🪦 Every case comes with links to the original sources, so you can dig deeper instead of blindly trusting an AI-generated verdict.

It’s basically a reality check for founders: maybe your idea is genuinely fresh — or maybe five teams already tried it, burned through millions, and quietly changed their LinkedIn bios.

Better to discover those lessons now than spend a year stepping on exactly the same rake. 🧠

🤖 Next Move AI | #Release

🧬 AI PUT 200 MILLION PROTEIN SHAPES ONLINE

🎮 Imagine being handed a string of amino acids and asked to predict the exact 3D object it will fold into. That is one of biology’s nastiest boss fights: a protein’s shape helps determine what it can do, but solving that shape experimentally can take months or even years.

🤖 Google DeepMind’s AlphaFold changed the pace of the game. The AI system predicts a protein’s structure from its amino-acid sequence, and in 2022 its public database expanded from roughly one million entries to more than 200 million predicted structures — covering almost every protein catalogued in UniProt at the time.

🌍 The scale is difficult to picture. Plants, animals, bacteria and other organisms suddenly gained searchable 3D models in a free database built with EMBL-EBI. Researchers could inspect an unfamiliar protein in minutes, compare shapes and decide which experiments were worth running first.

🔬 AlphaFold is already used across work on disease, neglected tropical illnesses, antimicrobial resistance, crop biology and environmental research. It does not magically invent a finished medicine, but it can turn a dark room into a map full of promising routes.

⚠️ There is an important reality check: these are predictions, not laboratory proof. AlphaFold supplies confidence scores, and flexible regions, interactions or unusual conditions can still fool a model. Scientists must judge the result and validate critical claims experimentally.

🚀 That may be the real AI milestone here. The machine did not replace the scientist; it made an enormous piece of biological exploration faster, cheaper and openly accessible — like revealing most of the world map before the research quest even begins.

🤖 Next Move AI | #News

🐳 Well, well, well: your public DeepSeek chats are now showing up on Google.

Google has begun indexing conversations that users shared through public DeepSeek links.

This isn’t a hack, and it doesn’t mean every private chat has leaked — but anything published through a shareable link may now be searchable and readable by absolutely anyone.

To remove them:
📷 Open Settings;
📷 Go to Data;
📷 Select Shared Links;
📷 Tap Manage;
📷 Delete any conversations you no longer want online.

You can also check for exposed pages by searching:
site:chat.deepseek.com/share

Add your name, email address, username, company, or any other detail you may have mentioned. If something appears, open the result and confirm whether the public link still works.

A gentle reminder that “Share” sometimes means share with the entire internet forever.
Might be a good time to remember exactly what you told that chatbot at 3 a.m. 😬

🤖 Next Move AI | #DeepSeek

🧐 You can now control a computer with your tongue.

Augmental has released the MouthPad — a custom smart mouthpiece designed to replace a traditional mouse.

Users move the cursor and click with their tongue, while head movements and breathing gestures can be used to scroll through pages and perform additional commands. The device connects via Bluetooth and works with computers, tablets, and smartphones.

Each MouthPad is individually manufactured using a 3D scan of the user’s mouth, so this isn’t exactly something you’ll want to borrow from a colleague. 😅

Battery life is rated at more than seven hours, while the price sits at a very accessible, totally-not-terrifying $1,400. Originally created as an accessibility tool, the MouthPad could make digital devices far easier to use for people with limited hand mobility.

Vibe coders, form an orderly line — your hands are finally free to open six more Claude windows. 👌

🤖 Next Move AI | #Technology

🤖 Next Move AI | #News🎙 OPENAI LAUNCHES GPT-LIVE FOR MORE NATURAL VOICE CHATS
 
🗓 OpenAI has introduced GPT-Live, a new generation of voice models powering the updated ChatGPT Voice experience. The global rollout began on July 8, promising conversations that feel less like alternating voice notes and more like talking in real time.
 
🔄 The main upgrade is a full-duplex voice architecture. GPT-Live can listen while it is speaking, decide when to pause and handle quick interruptions. It can also give small acknowledgements such as “mhmm,” stay quiet while the user thinks and focus better on speech when there is background noise.
 
🧠 For harder questions, the voice model can delegate search or deeper reasoning to a frontier model in the background while keeping the conversation moving. At launch, OpenAI says that work is handled by GPT-5.5, creating a two-layer system: one model manages the live dialogue while another tackles the heavier quest.
 
📱 Two versions are rolling out. GPT-Live-1 is set to become the default voice model for Go, Plus and Pro users, while GPT-Live-1 mini is aimed at the Free tier. OpenAI also plans to bring the technology to its API, although no public release date has been announced.
 
🖼 The update includes nine remastered voices and visual cards for weather, stocks and sports. There are limits: video and screen sharing are not supported in GPT-Live at launch, and some languages may still produce a non-native accent.
 
⚠️ A voice that listens and reacts more naturally also makes safety more important. OpenAI says GPT-Live uses predefined voices rather than imitating real people and includes real-time safeguards that can redirect or end unsafe conversations.
 
🎮 The headline is bigger than “better audio.” OpenAI is trying to turn voice from a push-to-talk feature into a continuous interface for AI agents — one that can chat, search and work in parallel without repeatedly breaking the flow.

🤖 Next Move AI | #News

👍 AI can finally understand your chaotic handwriting.

A new open-source project called PenEcho has appeared on GitHub. It’s an infinite digital canvas capable of recognizing handwritten notes, mathematical formulas, rough sketches, flowcharts, and diagrams.

You can write a question directly on the board, and the AI will respond in the same workspace: solving equations, plotting graphs, completing diagrams, explaining concepts, or even turning your sketches into animations. ✏️
In other words, it feels like a whiteboard that watches you think — and occasionally understands the idea before your handwriting becomes completely illegible. PenEcho supports Codex, Claude Code, Kimi, and other AI models. The app itself is free, but it uses the limits or credits of whichever service you connect to it.

Finally, those mysterious symbols in your notebook can become actual code instead of an archaeological puzzle. 🧠

🤖 Next Move AI | #Technology

🧬 ANTHROPIC OPENS AI GRANTS FOR RARE-DISEASE RESEARCH
 
🗓 Anthropic has launched a focused call for rare-disease projects under its AI for Science program. Announced on July 20, the initiative will give accepted teams up to $50,000 in Claude credits over six months to explore how AI can support research into rare genetic conditions.
 
🔬 The program has two tracks. The first targets scientists working on basic research. The second is for biotechnologists and early-stage biotech companies trying to speed up clinical development.
 
🧠 Anthropic says Claude could help researchers connect mechanisms across diseases, search large collections of papers, organise limited datasets and propose hypotheses for expert review. In biotech, suggested projects include comparing treatment strategies, finding useful biomarkers and drafting or checking parts of regulatory dossiers.
 
🌐 Anthropic is working with the Monarch Initiative, whose resources connect disease definitions and genotype-phenotype data. Existing projects are already using Claude for drug-repurposing searches and variant-classification drafts.
 
⏳ Applications are open until August 2, 2026 at 11:59 p.m. Pacific Time. Accepted applicants can use Claude Opus or other generally available models approved for biology, and some eligible projects may receive access to Claude Science.
 
⚠️ Anthropic is also stressing the limits. AI cannot rescue research when data is too scarce or poorly organised, and it does not solve access problems such as diagnostic infrastructure or manufacturing bottlenecks. Human validation remains essential.
 
🚀 This is not another consumer chatbot update. It puts frontier AI into an area that attracts less commercial attention because each disease affects a small population. The bet is that shared tools can reveal shared biological patterns — and shorten at least some parts of the research pipeline.

🤖 Next Move AI | #News

😨 You can now motivate AI agents with a literal whip.

Some guy vibe-coded a macOS utility that tracks swinging movements from the left AirPod and responds by playing a whip animation — complete with sound — directly on the screen.

The app reads motion data from the earbud’s built-in sensors and runs on top of every other window. So whenever Claude starts “thinking” for suspiciously long, you can crack the virtual whip and remind it who pays for the subscription. 🪢

Will this make your AI agent write code any faster? Absolutely not. Will it make waiting for another “I need a moment to inspect the repository” message significantly more entertaining? Almost certainly.

The future of human–AI collaboration is looking healthy and completely normal. 👌

🤖 Next Move AI | #Fun

🧠 ANTHROPIC SHIPPED CLAUDE OPUS 5 — THE FOURTH MODEL IN UNDER TWO MONTHS
 
On 24 July Anthropic released Claude Opus 5, and the headline isn't the benchmark chart. It's the pace.
 
This is the company's fourth Claude 5 model in less than two months — after Fable 5 and Sonnet 5. The era of one giant launch per year is quietly over.
 
💰 Pricing stayed flat at $5 per million input tokens and $25 per million output, same as Opus 4.8. The pitch: Opus 5 gets close to their top-tier Fable 5 on many tasks while costing about half as much, which makes it the everyday workhorse rather than the showpiece.
 
⚙️ Two features worth your attention — an effort "dial" that lets you decide how much compute a task actually deserves, and the ability to switch models mid-task to keep the bill down. Very "we have all seen the invoice" energy.
 
Anthropic also calls it their most aligned Opus so far, the hardest to trick into misuse, and says government partners are running independent testing on it.
 
Context that explains the tempo: all of this is happening while the company preps an IPO later this year. Ship fast, ship often. 📈
 
🤖 Next Move AI | #News

🔢 GOOGLE'S AI IS NOW SOLVING MATHS PROBLEMS THAT SAT OPEN FOR DECADES
 
This one deserved far more attention than it got.
 
Google DeepMind's Gemini Deep Think — the underlying system is called Aletheia — has moved from "wins competitions" to "produces publishable mathematics".
 
📐 The receipts: it autonomously cracked four open problems from Bloom's Erdős Conjectures database, including Erdős-1051, which then led to a generalised solution published in peer-reviewed work. It also wrote a paper on structure constants in arithmetic geometry called eigenweights largely on its own.
 
In January 2026 the latest version scored up to 90% on IMO-ProofBench Advanced, and the score kept climbing as they fed it more compute. An earlier version had already hit gold-medal standard at the International Mathematical Olympiad.
 
🧪 It isn't only maths. Across 18 research problems it contributed algorithmic progress on Max-Cut and Steiner Tree, showed a decade-old conjecture in online submodular optimisation was false, and solved a cosmic-string radiation problem using Gegenbauer polynomials. One result was accepted at ICLR '26.
 
DeepMind is admirably honest about the ceiling: results were classified up to "publishable quality", with no landmark breakthroughs claimed.
 
Still. An AI proved a human conjecture wrong. Somewhere a professor is rereading his lecture notes very slowly. 😬
 
🤖 Next Move AI |#AI