From San Francisco
1 |
The Editorial |
Good morning.
Meta’s Muse opens our October 5 briefing on what using AI involves, with DeepSeek and Nvidia’s DGX Spark to follow.
Muse’s instructions call for a page about each person in a user’s life. That is a request worth reading before connecting your services.
DeepSeek has cut the US benchmark lead to about 3% since its September release. The gap was 15% earlier in 2026.
Nvidia announced a 64GB DGX Spark at $4,999 on October 2. Its 128GB original launched in October 2025 for $1,000 less. There is more arithmetic in the price of a pair.
Stay curious,
Marcus Schuler
2 |
THE BIG STORY |
Meta’s Muse agent carries instructions to keep “a page for every person in the user’s life,” with personal history and relationship details.
Conversations and tool calls train Muse by default, though users can opt out. Meta can access its cloud computer when needed to operate, secure or support the service.
Jason Aten said on September 19 that Muse referenced a private Apple Messages conversation while his Full Disk Access setting was off. Meta’s Andy Stone denies access without Full Disk Access and the Messages connector. No permission bypass has been independently established.
Why This Matters:
- People in a user’s life can land in Muse’s memory, and training stays on unless that user opts out.
- Meta’s planned Confidential VM would restrict its own access cryptographically, with delivery still scheduled for later in 2026 in the September 30 announcement.
3 |
ALSO TODAY |
DeepSeek narrowed the US lead in a LiveBench comparison to about 3% after its September 2026 release.
The gap stood at about 9% in May, down from 15% earlier in 2026. On October 4, DeepSeek scored 77.3 in agentic coding against Claude Fable 5.1 Max Effort’s 66.1. Those gains could help Chinese developers win market share, while the US still leads the overall comparison.
4 |
The Outside Read |
Tom's Hardware gets unusually concrete about how OpenAI used Codex to shorten chip design without pretending the engineers disappeared.
In the September 30, 2026 interview, OpenAI said Jalapeño moved from register-transfer-level design to tapeout in nine months, compared with Richard Ho's stated industry baseline of 18 months to two years. Tom's Hardware also reports up to 25% better performance per watt for the B0 stepping than for A0, a sign that the faster schedule did not eliminate first-pass design misses.
5 |
The One Number |
6 |
Today's Headlines |
- Apple will require explicit user action for Mac Full Disk Access, citing AI agent risks, though its October 2 announcement gives no rollout date.
- Google paused its open-source vulnerability rewards program October 1 after a rise in automated submissions, most invalid, and promised an update in the first quarter of 2027.
- Trump named Jay Clayton on October 4 to lead a 120-day AI task force; the charter language reported so far stresses preventing overregulation.
- Broadcom agreed to lend Anthropic up to $42 billion for TPU leases, a supplier-lender arrangement Anthropic flags as a potential conflict of interest.
- OpenAI president Greg Brockman told staff June 11 he had no plans to donate beyond $25 million to Leading the Future after ten days of employee objections.
7 |
The 5-Minute Skill |
Turn a jobs report into hiring triggers.
The September jobs report offers a national snapshot. Use it to set evidence-based triggers for one planned hire.
Your raw input:
The prompt:
Why this works:
The model must distinguish national movement from evidence relevant to one role. Confidence labels and source references make the reasoning auditable. Decision triggers turn the analysis into a hiring rule.
What to use:
Use GPT-5.6 or Claude Opus 5.5 for table reading. A smaller model can work if you paste only the relevant tables and verify every figure.
8 |
Fresh Funding |
9 |
The Rausschmeisser* |
Nvidia announced a 64GB DGX Spark starting at $4,999 on October 2, pricing half the memory $1,000 above the 128GB original’s October 2025 launch price.
Our take: Nvidia’s October 2 announcement gives buyers a $4,999 machine with half the memory of the $3,999 original at its October 2025 launch. Calling that an entry point requires some generosity from the person entering. The 128GB model now costs $6,950, so the smaller machine gets to look affordable by standing beside it.
Then comes the clustering pitch: two 64GB units cost $9,998 to pool the memory available in one $6,950 system. Nvidia measures performance at up to 1.7 times one system, which may matter to a buyer. Anyone shopping for 128GB alone pays an extra $3,048 for the privilege of finding room for a second box.
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