Bobacat! 2024's favorite meme coin will be $Psps cat coin, the founder of the doge, Billy also keeps it in his wallet, the name of the coin is Billy's cat's name @BobaCatPsps will be the captain of the market. Elon musk liked a tweet about Bobacat. Not boba, Bobacat Psps

AI math progress is getting scary fast in less than a year, AI models went from solving only a small fraction of the hardest "FrontierMath Tier-4" problems to solving almost 90% which means the benchmark is getting close to maxed out

KILIÇDAROĞLU CUMHURBAŞKANI OLACAĞINA İNANMIYORDU Ali Mahir Başarır: "Listelerin verilmesine saatler kala 39 milletvekilini zarfla getirdi, PM’nin önüne attı. En acısını söyleyeyim mi? Kılıçdaroğlu’yla kopuşum bu olaydır: Hasan Ufuk Çakar’ı milletvekili yapmak istiyor, herkes karşı. Çıktım odasına, ‘ne olur yapmayın, yalvarıyorum’ dedim. Durdu durdu durdu ‘zaten dedi 5 kişi çıkmaz Mersin'den’ dedi. Ben böyle durdum bir üç saniye baktım… ‘Mersin’de beş çıkmazsa zaten sen Cumhurbaşkanı olamazsın ki…” Orada bitti benim için Kılıçdaroğlu. Mersin'den 5 kişinin çıkacağına inanmayan bir kişi Cumhurbaşkanı olacağına inanıyor mudur sizce?"

Beautiful paper from Google DeepMind. Explains the pathways from AGI to ASI, and why that jump could happen through several routes. The authors frame the AGI-to-ASI transition around 4 technical pathways: - continued scaling of compute, model size, data, and test-time inference; - algorithmic paradigm shifts beyond today’s transformer-based foundation-model stack; - recursive self-improvement, where AI accelerates AI R&D and improves future systems; and - multi-agent collective intelligence, where large populations of specialized agents coordinate into a superhuman group agent. Scaling may work for a while, but it could hit limits in data, compute, energy, or weaker returns from making systems larger. Recursive improvement is the most uncertain path, because AI could speed up AI research, but that loop may also slow if hard research problems need real-world testing, scarce hardware, or new ideas. Multi-agent collectives may be the most underappreciated path, because a society of competent digital workers could outperform a brilliant individual model through specialization, speed, and coordination. The big point is that ASI may not arrive as 1 sudden event, but as a chain of faster changes as AI helps create better AI and stronger scientific tools. ---- Link – arxiv. org/abs/2606.12683 Title: "From AGI to ASI"

Milletvekillerini ihraca gelince PARTİ YÖNETİYORUZ! Kurultay sürecini başlatın deyince TEDBİREN GELDİK! Samimiyetsiz hainler! Tarih önünde hesap vereceksiniz!

Anne fil, susuz yavrusuna su verdiği için bir insana teşekkür ediyor..🐘🥺❤️

Together with UC Berkeley we are announcing the laser phase plate - a breakthrough in atomic resolution imaging. This is the brightest continuous wave laser in the world, 100 million times the intensity of the surface of the sun. Phase contrast plays an important role in microscopy, but it was thought close to impossible for electron microscopy, where it would require interfering with an electron beam. Holger Mueller and Robert Glaeser proposed exactly this using a standing wave laser. It has taken over 15 years to make this a reality. Biohub partnered with UC Berkeley and Mueller to support this work and to engineer and build the technology. Contrast has been the critical barrier to achieving atomic resolution imaging of the cell. In cryo-electron tomography, a cellular imaging technology that uses electron microscopy, the low contrast makes it impossible to resolve anything but the largest proteins within their cellular context. The laser phase plate removes that barrier. With advances in AI this breakthrough in contrast will start to open up a new frontier in structural biology, that will allow us to see the molecular machines of the cell, and how they assemble into far more complex and dynamic systems, and understand how they work.

Claude Mythos and Fable 5 Benchmarks Anthropic is SOTA everywhere

Today, @lifebiosciences confirmed the first patient has been dosed with an epigenetic restoration drug candidate. An exciting milestone 🚀 Life Biosciences is the OG cellular rejuvenation using epigenetic restoration to reverse diseases of aging. It was cofounded by @davidasinclair, who serves as Chairman The company’s proprietary Epigenetic Restoration platform utilizes three transcription factors, OCT4, SOX2, and KLF4 (OSK), to restore older and damaged cells to a younger and healthier state. This innovative approach targets a root cause of aging at the epigenetic level, and has the potential to address a wide range of serious age-related diseases The Phase 1 trial will evaluate the safety and tolerability of ER-100, with additional endpoints assessing visual function. ER‑100 is the first clinical candidate from Life Bio’s Epigenetic Restoration platform, which uses controlled expression of three transcription factors, OCT4, SOX2 and KLF4 (OSK) to restore cellular function by resetting the epigenetic code to more youthful patterns of gene expression “This is an important moment for Life Bio and for the field of aging biology,” said David Sinclair, Ph.D., Co‑founder of Life Biosciences and Professor of Genetics at Harvard Medical School. “Our research has suggested that aging is driven in large part by the loss of epigenetic information, not irreversible damage. This clinical study represents the first opportunity to test whether restoring that information can ameliorate human disease.” Beyond ER-100, the company is strategically broadening its therapeutic pipeline to address additional age-related diseases, underscoring the platform’s versatility and transformative potential. “This milestone reflects years of rigorous scientific development and translational research,” said Sharon Rosenzweig‑Lipson, Ph.D., Chief Scientific Officer of Life Biosciences. “Our preclinical studies have demonstrated that controlled OSK expression can reset epigenetic patterns associated with healthy cellular function, improve tissue performance, and restore visual function in animal models. Advancing ER‑100 into the clinic is an important step toward translating epigenetic restoration into a new class of medicines for age-related diseases.” Optic neuropathies represent a large unmet medical need. Current treatments primarily address risk factors, such as intraocular pressure in glaucoma, but do not directly target the damage to retinal ganglion cells. As a consequence, the disease often leads to irreversible vision loss despite treatment Vision loss not only directly impacts patients’ lives, but also increases the risk of loss of independence, damaging falls, and depression and dementia due to social isolation, underscoring the need for disease-modifying therapies. Beyond ER‑100, Life Bio is developing applications of its proprietary Epigenetic Restoration platform for multiple indications in a variety of organs, reflecting the broad therapeutic potential of this platform. About Optic Neuropathies Optic neuropathies are a group of disorders characterized by damage to retinal ganglion cells (RGCs), the primary neurons connecting the eye to the brain. Because RGCs do not naturally regenerate, damage results in permanent vision impairment. One such optic neuropathy, open-angle glaucoma (OAG) is a chronic neurodegenerative disease and a leading cause of blindness in older adults While often associated with elevated intraocular pressure, disease progression frequently continues despite treatment, and some patients suffer from OAG despite normal intraocular pressure. Non-arteritic anterior ischemic optic neuropathy (NAION) is the most common acute optic neuropathy in adults over fifty. It involves sudden, painless vision loss due to insufficient blood flow, for which there are currently no approved treatments About ER-100 ER‑100 is an investigational therapy in clinical development for the treatment of optic neuropathies including OAG and NAION. ER‑100 is designed to restore function in retinal ganglion cells using Life Biosciences’ Epigenetic Restoration platform, which utilizes controlled expression of three transcription factors, OCT4, SOX2 and KLF4 (OSK), to reset cellular gene expression patterns and restore cells to a more youthful and functional state. ER‑100 is currently being evaluated in a Phase 1 clinical trial. More information can be found at clinicaltrials.gov (NCT07290244): clinicaltrials.gov/study/NCT… For more information, visit lifebiosciences.com or follow on social media lifebiosciences.com/life-bio…

The most significant part of this report to me was Sam Altman admitting OpenAI may be less than six months away from Recursive Self Improvement. According to the report from The Information if OpenAI does hit RSI this year, then the IPO could be delayed. They quote Sam Altman as saying 'The faster the potential RSI takeoff looks like it could be, the more it could be advantageous to delay an IPO' because the 'technology and the world may change in surprising ways, and there might be good reasons to be a private company during that time.'

Google has published a paper that might end the transformer era. For the last 7 years, every major AI, ChatGPT, Claude, Gemini, has been built on the exact same architecture: The Transformer. But Transformers have a fatal flaw. To remember context, they have to process every single word against every other word. It’s called quadratic complexity. As your prompt gets longer, the compute cost explodes. The alternative is the old-school RNN (Recurrent Neural Network). RNNs are incredibly cheap and fast, but they have a fixed memory size. If you give them a long document, they get amnesia. Until today. Google researchers published Memory Caching: RNNs with Growing Memory. And it fixes the biggest bottleneck in AI. Instead of an RNN having a fixed, rigid memory that constantly overwrites itself, Google gave it a "save" button. The technique allows the RNN to cache checkpoints of its hidden states as it reads. The memory capacity of the RNN can now dynamically grow as the sequence gets longer. They built four different variants, including sparse selective mechanisms where the AI actively chooses exactly which checkpoints matter most. The results rewrite the rules of efficiency. On long-context understanding and recall-intensive tasks, these new Memory-Cached RNNs closed the gap with Transformers. They achieved competitive accuracy without the explosive, quadratic compute cost. It perfectly bridges the gap between the cheap efficiency of an RNN and the massive capability of a Transformer. We have spent billions scaling Transformers because we thought they were the only way an AI could remember a long conversation. But Google just proved we don't need to process the whole history every single time. We just needed a smarter cache.

Cymatics. Observe the transit patterns and morphology.

Comparing the Sizes of the Universe: 3D Animation and Real-Scale Star Comparison

F*ck your basic interior, these interiors are the best 🤩

A zoetrope from Swiss motion designer Quentin Maillard, known as Le Maille, transforms ordinary vinyl records into hypnotic moving images that appear to come alive, creating the illusion of motion on an otherwise static surface.

Following breakthrough results, we’re bringing longevity medicine to human trials. We’ve raised a $435M Series C led by @foundersfund to make it happen. Reprogramming cell age has the potential to create more healthy years for everyone. We're closer than ever to realizing it.

We believe AI can be a dedicated research partner to help discover the next breakthrough. Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵

Mutlak butlan kararından sonra çıkan anketler şunu gösteriyor: CHP'nin işgali 1-2 ay daha sürerse Özgür Özel'in oy desteği E'e dayanır. Süreç ters tepti.

🔴Özgür Özel'den önemli açıklama: Gerekirse kendi cumhurbaşkanı adayımızı açıklarız 🔸Resmi olarak bizi muhatap almazlarsa, kendi cumhurbaşkanı adayımızı göstererek seçimlere gireriz 🔸Partiden bir bölünme yapmadan, gerekli tedbirleri alacak hazırlıklarımız var

What does JEPA actually learn? We can finally prove it 🌍 So excited to share our theory of identifiable World Models: LeJEPA recovers the latent variables of the world. Plan in the learned World Model as if it were real, same shortest path. 📄: klindtlab.github.io/lejepa-i…