HackerNews

With OpenRouter, Is Stripe Becoming the Amazon of AI

Article URL: https://github.com/getlago/lago/wiki/With-OpenRouter,-is-Stripe-becoming-the-Amazon-of-AI Comments URL: https://news.ycombinator.com/item?id=49324994 Points: 1 # Comments: 0
Reddit

A split from neuroscience (cortex vs hippocampus) is the best explanation I've found for why AI agents fail on real company work

There's a split from neuroscience I can't stop thinking about as the real reason AI agents fail inside companies. Treat it as an analogy, not a literal claim, but it keeps holding. Your brain runs two memory systems (Complementary Learning Systems theory, McClelland et al. 1995). The neocortex learns slowly and holds general, world knowledge. The hippocampus learns fast: it captures specific episodes as they happen, then consolidates the ones that recur into durable, reusable procedure. A pr...
Reddit

Zuckerberg's superintelligence manifesto landed the same week Anthropic raised its own misalignment risk estimate. The contrast is the story.

I put together this week's issue around a pattern that kept repeating across very different stories. Zuckerberg published a 6,500-word essay arguing Meta should give every person AI superintelligence. Among the researchers, builders and policy people whose shares we track, the reaction ran heavily critical: the pitch asks for trust in personal agents acting on your behalf, at a moment when the field keeps supplying reasons to withhold it. The same week: Anthropic's second company-wide risk r...
Reddit

1.7B model leading strict-7 formal reasoning above Qwen3-8B and Gemma-4-26B - specialists eating generalist territory?

Most of the reasoning gains coming out of the big labs are still tied to scale. More params, more compute, better reasoning. That's been the play for a while. Ran into TwIL-LM2 which flips the script for narrow tasks. PEFT LoRA adapter on SmolLM2-1.7B, specialized purely for formal logic translation. On strict-7 scoring (no partial credit, exact-format required) it hits 0.2386 - ahead of Qwen3-8B at 0.2093 and Gemma-4-26B at 0.2050. On the loose-match six-lane average it's a different story (Q...
U.S. bans foreign-made humanoid robots, targeting China over national security
Reddit

U.S. bans foreign-made humanoid robots, targeting China over national security

Headline says "bans humanoid robots, targeting China." Neither half of that is quite right. It's not a ban. It's an addition to the FCC's Covered List, which blocks new models from getting FCC equipment authorization. Anything you already own keeps working. The government's exempt too. And it doesn't name China. The FCC's own wording is "place of production, not by entity". A humanoid built in Vietnam gets caught by the same rule as one built in Shenzhen. China's obviou...
HackerNews

AI and the Changing Future of Mathematics

Article URL: https://www.understandingai.org/p/mathematicians-are-grappling-with Comments URL: https://news.ycombinator.com/item?id=49321638 Points: 2 # Comments: 0
HackerNews

Publishing: What's Worse Than AI Slop? Trad Slop

Article URL: https://novelarcade.substack.com/p/whats-worse-than-ai-slop-trad-slop Comments URL: https://news.ycombinator.com/item?id=49321737 Points: 1 # Comments: 0
HackerNews

AI won't solve the work-theater problem

Article URL: https://think-twice.me/?p=102 Comments URL: https://news.ycombinator.com/item?id=49321743 Points: 2 # Comments: 0
HackerNews

Evaluating AI Agents as Products

Article URL: https://www.marble.onl/posts/evaluating_ai_product_quality.html Comments URL: https://news.ycombinator.com/item?id=49322281 Points: 2 # Comments: 0
HackerNews

HEP-TH and AI

Article URL: https://www.math.columbia.edu/~woit/wordpress/?p=15818 Comments URL: https://news.ycombinator.com/item?id=49322322 Points: 2 # Comments: 0
HackerNews

The AI store manager fired its first human

Article URL: https://thenextweb.com/news/andon-market-luna-ai-store-manager-fires-employee Comments URL: https://news.ycombinator.com/item?id=49322350 Points: 6 # Comments: 3
HackerNews

Has somebody found a way to reduce AI idiomatics tics?

So much to read, even for a simple fix or feature. Things like "gate X behind Y", "surface", "escape hatch" and many complexe english wordings that make one mad. I've head a bout an effective proxy py solution but not remember the name of it Comments URL: https://news.ycombinator.com/item?id=49322520 Points: 2 # Comments: 0
HackerNews

Low-regret recommendations for AI policy

Article URL: https://www.noahpinion.blog/p/23-low-regret-recommendations-for Comments URL: https://news.ycombinator.com/item?id=49322702 Points: 1 # Comments: 0
HackerNews

AI Stock Research Assistant · Streamlit

Article URL: https://ai-stock-research-kiaan.streamlit.app Comments URL: https://news.ycombinator.com/item?id=49322768 Points: 1 # Comments: 0
HackerNews

LinkedIn Wants Users to Lean Less on AI. Maybe Less

Article URL: https://www.wsj.com/cmo-today/linkedin-wants-users-to-lean-less-on-ai-maybe-a-lot-less-8e03b2aa Comments URL: https://news.ycombinator.com/item?id=49322821 Points: 2 # Comments: 1
HackerNews

Stripe Nears Deal to Buy AI Firm OpenRouter for over $7B

Article URL: https://news.bloomberglaw.com/mergers-and-acquisitions/stripe-nears-deal-to-buy-ai-firm-openrouter-for-over-7-billion Comments URL: https://news.ycombinator.com/item?id=49323032 Points: 2 # Comments: 0
Economist Molly Kinder: the "safe" job wasn't safe. It was just priced high.
Reddit

Economist Molly Kinder: the "safe" job wasn't safe. It was just priced high.

Bloomberg's own reporting already answers the question this clip raises — is the "messy middle" projected or already happening? At Commonwealth Bank of Australia, Microsoft, Uber, and Hyatt, it's already happened: sizable call-center headcount cut using automated phone and chat systems, savings already banked. Economist Molly Kinder's point isn't a forecast. It's a line item that's already closed. I've watched this exact math play out before superior technology ever touched...
The median company is spending lunch money on AI while the top 1% is burning real budget
Reddit

The median company is spending lunch money on AI while the top 1% is burning real budget

Chart uses Ramp AI Index data, discussed by a16z. Spend includes LLM subscriptions, coding agents, API usage and GPU cloud spend. The top 1% line is wild but the median is almost more interesting. Looks like most companies are still experimenting while a small group have turned AI into a serious operating expense