🚀 Zaprep: Deine Socials auf Steroiden. Kostenlos starten mit 1.000 automatisierten DMs/Monat.

Tool einreichen

10,000+ KI-Tools bereits gelistet
10K+Tools
190K+/moAufrufe
70K+/moBesucher
Anmelden
JETZT LIVE

Outrank. Bezahlen zum Ranken.

Überbiete fĂŒr einen dofollow-#1-Spot auf PoweredByAI.

Ab 11,99 $ · Überbiete um 2 $ · Kein Ablauf

Outrank entdecken

AI NewsValor, Point72 back General Intuition at $6B valuation as AI startup pushes into robotics

Valor, Point72 back General Intuition at $6B valuation as AI startup pushes into robotics

3:07 AM IST · August 25, 2026

Valor, Point72 back General Intuition at $6B valuation as AI startup pushes into robotics

New York-based General Intuition, the startup building a foundation model that trains generalized AI agents to move through space and time, is in talks to raise funding at a $6 billion pre-money valuation from new investors including Valor Equity Partners, Point72 Ventures, and Seven Seven Six, according to sources familiar with the matter. Existing investors including Khosla Ventures and General Catalyst are also participating in the round. The fresh funds would come just weeks after General Intuition raised$320 million at a $2.3 billion valuation. The news confirmsearlier reportingon the deal for what is becoming one of the hottest startups tackling physical AI. CEO Pim de Wittespun out General Intuition last Octoberfrom his video game clip-sharing platform Medal, using its hundreds of millions of hours of gameplay and “action labels” — records of what buttons a player pressed and when — as an initial dataset. First sneak peak in the WSJ on how GI’s large action models work!https://t.co/6fuOcu9fkb Investor Vinod Khoslarecently told TechCrunchthat he believes those action labels will be a key part of the “emergence of intuition,” or the ability for a model to truly generalize across tasks that it wasn’t explicitly trained on. General Intuition is still finalizing the round, and a source close to the deal said that it is oversubscribed as the startup continues to field interest from investors. The company intends to use the funds to focus to improve its general model with a focus on robotic embodiments. That means spending more on compute infrastructure (the company has a partnership with neolab CoreWeave) and hiring more talent. Valor Equity Partners is known for backing SpaceX. TechCrunch has reached out to confirm its investment in General Intuition, which would be the first AI lab the fund has invested in since SpaceX.This story is developing. Please check back in for updates.

read more

Aktuelle KI-News

Alle News anzeigen →
Physical AI Squeezes Labour Market, And Low-Skilled Immigrant Jobs May Be First to Fall

Physical AI Squeezes Labour Market, And Low-Skilled Immigrant Jobs May Be First to Fall

Immigrants in the US are heavily represented in several low-skilled occupations. However, replacing humans with humanoids on the factory floor is easier said than done.

1 hour ago

View

UN Partners With Google to Build Global Data Infrastructure to Ensure Accurate AI-Generated Analysis

UN Partners With Google to Build Global Data Infrastructure to Ensure Accurate AI-Generated Analysis

The United Nations is partnering with Google to develop the UN System Data Commons to bring multiple UN agencies into a machine-readable system.

1 hour ago

View

The FAA’s plan to fix air traffic? $875M worth of AI

The FAA’s plan to fix air traffic? $875M worth of AI

The Federal Aviation Administration has beenstruggling to managean air traffic control shortage throughout the country. The reasons for the shortageare diverse, but the government has made it known that it’s on the lookout for innovative solutions to the problem. One of those solutions appears to be an $875 million AI software program that is expected to help air traffic controllers manage their workflows and more safely navigate flight routes. The Wall Street Journalreportsthat the FAA will soon launch SMART, which stands for Strategic Management of Airspace, Routes, and Trajectories — an automated software program designed to help streamline air traffic operations. Aone-page readouton the program describes SMART as “a cloud-based platform system that enhances existing FAA air traffic management systems.” It adds that the program uses AI to assess “airline schedules, weather, airport capacity, airspace conditions, and operational constraints to predict traffic flows and identify potential conflicts before they occur.” SMART, the product of a firm called Air Space Intelligence, will cost the government that amount over a 12-year period, the outlet writes. The software will roll out in the Washington, D.C., metropolitan area first before expanding to other regions, it says. Earlier this year, the FAAalso announceda “bold, new” hiring plan that the agency said would “erase the longstanding staffing shortage,” and the government is separately engaged in a broad effort to modernize the nation’s aging air traffic systems.

9 hours ago

View

PrismML hopes its tiny LLM will change how we all use AI

PrismML hopes its tiny LLM will change how we all use AI

If AI labPrismMLisn’t on your radar yet, it should be — not because it’s raised gobs of money (it hasn’t yet, just a $22.25 million seed round), but because of the technical minds involved and the potentially industry-changing tech it’s developing. PrismML is betting that capable, high-performing, reasoning large language models don’t, in fact, have to be large. It is making reasoning models so small they can fit on PCs and smartphones. (It’s even rumoredto be in talks with Apple, though CEO Babak Hassibi declined to comment on that to TechCrunch.) On Thursday, PrismMLreleased Bonsai 2 27B, its latest in a family of models, which compresses Qwen3.8 27B, a widely used open source model from Alibaba, down to 5.9 GB. That’s small enough to fit on a PC and, possibly, a high-end smartphone. It’s a 9x to 10x reduction in memory versus the original. PrismML was founded by a group of Caltech researchers and is led by Hassibi, a Caltech professor and an expert in compression technologies. The startup also counts Ion Stoica as an adviser. Stoica is a co-founder of Databricks (and other companies) and the director of Berkeley’s famed Sky Computing Lab, which has birthed many technologies and startups, fromLettatoSGLang. PrismML is also backed by investors Khosla Ventures, Cerberus Capital, and Caltech. This startup is certainly not the only company working on LLM compression tech. Multiverse Computing, founded by a well-known professor from Spain’s Donostia International Physics Center, is another. (And Multiverse Computinghas raised gobs of cash.) But Hassibi says that PrismML’s compression tech is unique because its LLMs have lost virtually no performance compared with the originals. Bonsai 2 matches 98% of Qwen’s aggregate benchmark scores. That’s up from the first Bonsai, released a couple of months ago in March, that matched 95%. That original model has already been downloaded over 11 million times, and PrismML’s even smaller models have been downloaded another 2.6 million times, the company says. So this shows that PrismML’s compression results have improved from one release to the next. Whether it could ever get to 100% benchmark performance parity is a question that remains to be seen. Compression will likely always havesomeimpact, Hassibi says. Still, perfect benchmark parity is fairly academic anyway. LLMs are not so accurate in their uncompressed form, and benchmarks not so perfectly reflective of actual tasks, that a 2% degradation would likely meaningfully affect how a model performs in actual use. (Plus, the surrounding software — the harness a model runs inside of —matters a lot when it comes to accuracy, too.) PrismML says it achieves this by shrinking the “weights” that make up a model — weights are, essentially, the information a model learns and stores during training. Normally, each weight requires 16 bits. PrismML’s approach, called “ternary” weights, simplifies that down to three: +1, −1, or 0. With far smaller values to store for each weight, the model takes up dramatically less space. (For a deeper dive on the compression technique, here’s the project’sHugging Face page.) The startup’s next goal is to apply this compression technique to even bigger models. “The next models that we will release, hopefully in the next couple of months, will be in the several-hundred-billion-parameter range, and I expect it will be easier to retain the intelligence there,” Hassibi told TechCrunch. As model size grows, he added, “There is more room to be able to compress them without losing the intelligence. So I would just say, as a general trend, for larger models, it’s easier to get to 100%.” Stoica tells us that he’s excited for this tech because it’s making it possible for advanced models to run on users’ devices. “You are going to have intelligence at your fingertips, and it’s going to be free because it’s going to run on the device you already bought. It’s also going to be private, because you’re not going to send it to the cloud.”

9 hours ago

View

Tool einreichen

Submit AI Tools – The ultimate platform to discover, submit, and explore the best AI tools across various categories.Listed on codetrendy.comFeatured on ListBulb

PoweredByAI.app ist ein KI-Tools-Verzeichnis, das Menschen, Unternehmen und Creators hilft, die besten KI-Tools fĂŒr Schreiben, Programmieren, Design, ProduktivitĂ€t und mehr zu entdecken.

OutrankKontaktBewerbenAnalysenNutzungsbedingungenRĂŒckerstattungsrichtlinieDatenschutzrichtlinie

© 2026 , Ein Produkt von011BQ. Alle Rechte vorbehalten.