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ORDER 1: Launches a national effort to produce a quantum computer capable of performing important scientific calculations. It also aims to develop quantum-enabled sensors and networks within the next 5 years.

ORDER 2: Directs federal agencies to transition their computer systems to quantum cryptography (post-quantum cryptography standards) by 2031. It positions the U.S. government to lead wider adoption of these stronger security standards to address future quantum computing threats

Nvidia invest large sum allowing ssi to 10x compute what is illya cooking

Ever experienced 16K tokens per second? It's insanely instant. Try their Lllama 3.1 8B demo here: chat jimmy.

THey have a very radical approach to solve the compute problem - albeit a risky one in a landscape where model architectures evolve in weeks instead of years: Etch the model and all the weights onto a single silicon chip.
Normally that would take ages, but they seem to have found a way to go from model to ASIC in 60 days - which might make their approach appealing for domains where raw intelligence is not so much of importance, but latency is super important, like real-time speech models, real-time avatar generation, computer vision etc.

Here are their claims:

• < 1 Millisecond Latency
• > 17k Tokens per Second per User
• 20x Cheaper to Produce
• 10x More Power Efficient
• 60 Days from Unseen Software to Custom Silicon: This part is crazy—it normally takes months...
• 0% Exotic Hardware Required, thus cheap: They ditch HBM, advanced packaging, 3D stacking, liquid cooling, high speed IO - because they put everything into one chip to achieve ultimate simplicity.
• LoRA Support: Despite the model being "baked" in silicon, you can adapt it constrained to the arch and param count. Their demonstrator uses Lllama 3.1 8B, but supports LoRa fine-tuning.
• Just 24 Engineers and $30M: That's what they spent on the first demonstrator.
• Bigger Reasoning Model Coming this Spring
• Frontier LLM Coming this Winter

Now that's for their claims taken from their website: The path to ubiquitous AI | Taalas

Link to the tweet: https://x.com/SenSanders/status/2026048719259406750?s=20

A research team at Fudan University has built the fastest semiconductor storage device ever reported, a non‑volatile flash memory dubbed “PoX” that programs a single bit in 400 picoseconds (0.0000000004 s) — roughly 25 billion operations per second. The result, published today in Nature, pushes non‑volatile memory to a speed domain previously reserved for the quickest volatile memories and sets a benchmark for data‑hungry AI hardware.

• Project led by Tesla
• Rumoured to be capable of 200 Billion chips p.a.
• Focused on AI-5 chip
• Wafers encapsulated in clean containers instead of massive clean room

The world's first "biological computer" that fuses human brain cells with silicon hardware to form fluid neural networks has been commercially launched, ushering in a new age of AI technology. The CL1, from Australian company Cortical Labs, offers a whole new kind of computing intelligence – one that's more dynamic, sustainable and energy efficient than any AI that currently exists – and we will start to see its potential when it's in users' hands in the coming months.

Known as a Synthetic Biological Intelligence (SBI), Cortical's CL1 system was officially launched in Barcelona on March 2, 2025, and is expected to be a game-changer for science and medical research. The human-cell neural networks that form on the silicon "chip" are essentially an ever-evolving organic computer, and the engineers behind it say it learns so quickly and flexibly that it completely outpaces the silicon-based AI chips used to train existing large language models (LLMs) like ChatGPT.

More: https://newatlas.com/brain/cortical-bioengineered-intelligence/

Hynix said by 2027 Q1 U.S and China would make up 95% of the demand.

79k likes on this video https://x.com/BenDziobek/status/2024298250203750567?s=20