LABLAB Price

On September 11, Robinhood's meme coin issuance platform Pons announced the addition of stock tokens SNOW, RCAT, SEWY, LMT, INTC, NET, BA, GLXY, RKLB, and CEG to its new issuance token pool. Stock Meme is an emerging concept that directly combines traditional meme coins with tokenized U.S. stocks: meme coins are no longer paired with USDT or ETH, but instead form trading pairs with on-chain U.S. stock tokens (such as NVDA, TSLA, AAPL, etc.). This approach retains the high volatility and community-driven speculative nature of meme coins while leveraging the popularity and narrative of real stocks. Transaction fees often partially flow back to the community treasury, accumulating corresponding U.S. stock tokens and creating a dual-driven model of 'sentiment speculation + real asset anchoring.'

On September 11, Robinhood's cryptocurrency stock meme issuance platform Pons announced that it has added stock tokens SNOW, RCAT, SEWY, LMT, INTC, NET, BA, GLXY, RKLB, and CEG to its new issued token pool. Stock Meme is an emerging play that directly combines traditional meme coins with tokenized US stocks: meme coins are no longer paired with USDT or ETH, but instead form trading pairs directly with on-chain US stock tokens (such as NVDA, TSLA, AAPL, etc.). This retains the speculative attributes of meme coins, characterized by high volatility and community-driven engagement, while also leveraging the popularity and narrative of real stocks. Transaction fees often partially flow back to the community treasury to accumulate corresponding US stock tokens, creating a dual-driven model of 'sentiment speculation + real asset anchoring'.

On September 8, OpenAI Chief Scientist Jakub Pachocki stated in an article titled "An Alien Mind" that based on internal research findings, he strongly anticipates that the current pace of AI advancement may continue into a recursive self-improvement phase, with systems potentially experiencing significant capability leaps in the coming years, increasingly driving their own development. Pachocki noted that no laboratory has made sufficient progress in AI alignment and monitoring to responsibly scale models at maximum speed for the long term; he expects and hopes that voluntary slowdowns will become the norm before establishing a shared safety threshold, and that the development of AI should be prioritized for international coordination by governments in the future. OpenAI will continue to research alignment and monitoring technologies, build defense systems, and unilaterally pause further expansion when necessary. He also pointed out that GPT-6 Astra has implemented some long-developed alignment techniques, showing significant improvements compared to GPT-5.6 Sol. However, as models become better at manipulating their own reasoning, increasing tool interactions, and enhancing non-verbal reasoning capabilities, the effectiveness of monitoring based on thought chains is gradually declining.