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THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

SQLITE-ON-THE-SERVER IS MISUNDERSTOOD: BETTER AT HYPER-SCALE THAN MICRO-SCALE

SQLite on the server is often misunderstood and is more effective for hyper-scale applications than micro-scale setups. Traditional sharded databases are complex, inflexible, and can suffer from data inconsistencies. SQLite-per-partition solutions like Cloudflare Durable Objects and Turso offer dynamic scaling, global distribution, and ACID transactions, which allow for a more efficient and manageable hyper-scale architecture.

T-MOBILE'S PARENT COMPANY IS MAKING AN AI PHONE WITH PERPLEXITY

Deutsche Telekom and Perplexity are partnering to develop an AI phone that will have Perplexity's AI integrated on a system-wide level. Users will be able to interact with the phone's AI assistant even on the lock screen. The phone will offer access to various AI providers. It will have some agentic capabilities, but it is unclear yet how it will execute tasks. The phone will be officially launched in the second half of this year priced at under a thousand dollars and hit the shelves at some point in 2026.

AMAZON-BACKED AI FIRM ANTHROPIC VALUED AT $61.5 BILLION AFTER LATEST ROUND

Anthropic has just closed a funding round at a $61.5 billion post-money valuation. The $3.5 billion round was led by Lightspeed Venture Partners - other investors included Salesforce, Cisco, and Fidelity. Anthropic plans to use the funds to advance its development of next-generation AI. It plans to expand its compute capacity, deepen its research in mechanistic interpretability and alignment, and accelerate its international expansion in Asia and Europe.

ROCHE ROLLS OUT NEW DNA 'SEQUENCING-BY-EXPANSION' APPROACH

Sequencing-by-expansion is a new proprietary method that pulls apart DNA molecules and amplifies the signal of each individual base, allowing scientists to avoid the time requirements of cycle-based sequencing as well as the comparable difficulties in distinguishing true signals among the noise. The technology is still in development and not yet commercially available, but it could one day be suitable for whole genome and exome sequencing as well as parsing RNA. The science behind the technology represents a significant breakthrough that addresses the limitations of existing sequencing solutions. It has the potential to revolutionize the use of sequencing in research and healthcare.

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