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Article URL: https://openai.com/form/codex-for-oss/

Comments URL: https://news.ycombinator.com/item?id=47279774

Points: 1

# Comments: 0

Article URL: https://lapcatsoftware.com/articles/2026/3/1.html

Comments URL: https://news.ycombinator.com/item?id=47279761

Points: 2

# Comments: 0

Article URL: https://alchemists.io/articles/htmx_infinite_scroll

Comments URL: https://news.ycombinator.com/item?id=47279730

Points: 1

# Comments: 0

I built a Chrome extension that evaluates AI chatbot responses across 5 dimensions: Emotion (tone fit), Fact (verifiability), Narrative (structure), Depth (explains WHY vs just WHAT), and Bias (directional framing).

One click next to any ChatGPT or Gemini response → 2 seconds → full quality profile with a Balance score (STABLE/DRIFTING/DOM).

Some results that surprised me:

- "How are you?" → DRIFTING. High emotion, zero facts, zero depth. - "Why don't antibiotics work on viruses?" → STABLE, Fact=0.95, Depth=0.75 - Persuasive prompts → Bias=+0.72. The model doesn't pretend to be neutral. - Philosophical answers → Fact=0.40 even with citations. Citing Kant doesn't make unfalsifiable claims verifiable.

The Fact axis uses a 3-step calibration: classify the question as falsifiable or not → apply a ceiling → score within it. This transfers across models at r=0.96.

Interesting negative finding: RLHF-trained models compensate for shallow prompts by adding unsolicited explanations. The Depth axis rubric works (5/5 on controlled responses) but in practice models over-explain everything.

Stack: Manifest V3, vanilla JS, Gemini Flash API as judge, Balance computed client-side. Uses your own API key, no data stored.

Research paper with full methodology and 100-prompt validation available on request.

Comments URL: https://news.ycombinator.com/item?id=47279727

Points: 1

# Comments: 1

Article URL: https://educatedguesswork.org/posts/tool-calling/

Comments URL: https://news.ycombinator.com/item?id=47279719

Points: 2

# Comments: 0

Article URL: https://www.youtube.com/watch?v=4Ql24Z8SIeE

Comments URL: https://news.ycombinator.com/item?id=47279706

Points: 3

# Comments: 0

Article URL: https://insideevs.com/news/789094/byd-second-generation-blade-battery/

Comments URL: https://news.ycombinator.com/item?id=47279701

Points: 2

# Comments: 0

Article URL: https://softwareengineering.stackexchange.com/questions/40172/should-newbies-use-ide-autocomplete-intellisense

Comments URL: https://news.ycombinator.com/item?id=47279694

Points: 1

# Comments: 0

My favorite would-be product, Xreal Neo, is a no-go because of performance concerns.

The Spice Girls score high, so let them tell you what they want, what they really, really want.

Hi HN! We’re Sam and Michael from Palus Finance (https://palus.finance). We’re building a treasury management platform for startups and SMBs to earn higher yields with a high-yield bond portfolio.

We were funded by YC for a consumer-focused product for higher-yield savings. But when we joined YC and got our funding, we realized we needed the product for our own startup’s cash reserves, and other startups in the batch started telling us they wanted this too.

We realized that traditional startup treasury products do much the same thing: open a brokerage account, sweep your cash into a money market fund (MMF), and charge a management fee. No strategy involved. (There is actually one widely-advertised treasury product that differentiates on yield, but instead of an MMF it uses a mutual fund where your principal is at considerable risk – it had a 9% loss in 2022 that took years to recover.)

I come from a finance background, so this norm felt weird to me. The typical startup cashflow pattern is a large infusion from a raise covering 18–24 months of burn, drawn down gradually. That's a lot of capital sitting idle for a long time, where even a modest yield improvement compounds into real money.

MMFs are the lowest rung of what's available in fixed income. Yes, they’re very safe and liquid, but when you leave your whole treasury in one, you’re giving up yield to get same-day liquidity on cash you won’t touch for six months or more. Big companies have treasury teams that actively manage their holdings and invest in a range of safe assets to maximize yield. But those sophisticated bond portfolios were just never made accessible to startups. That’s what we’re building.

Our bond portfolio holds short-duration floating-rate agency mortgage-backed securities (MBS), which are an ideal, safe, high-yielding asset for long-term startup cash reserves under most circumstances.[1]

The bond portfolio is managed by Regan Capital, which runs MBSF, the largest floating-rate agency MBS ETF in the country. Right now we're using MBSF to generate yields for customers (you can see its historical returns, including dividends, here: https://totalrealreturns.com/n/USDOLLAR,MBSF). We're working with Regan to set up a dedicated account with the same strategy, which will let us reduce fees and give each startup direct ownership of the underlying securities. All assets are held with an SEC-licensed custodian.

Based on historical returns, we target 4.5–5% returns vs. roughly 3.5% from most money market funds.[2] Liquidity is typically available in 1-2 business days. We will charge a flat 0.25% annual fee on AUM, compared to the 0.15–0.60%, depending on balance, charged by other treasury providers.

We think that startup banking products themselves (Brex, Mercury, etc.) are genuinely good at what they do: payments, payroll, card management. The problem is the treasury product bundled with them, not the bank. So rather than building another neobank, we built Palus to connect to your existing bank account via Plaid. Our goal was to create the simplest possible UX for this product: two buttons and a giant number that goes up. See here: https://www.youtube.com/watch?v=8Q_gwSqtnxM

We are live with early customers from within YC, and accepting new customers on a rolling basis; you can sign up at https://palus.finance/.

We'd love feedback from founders who've thought about idle cash management or people with a background in fixed-income and structured products. Happy to go deep in the comments.

[1] Agency MBS are pools of residential mortgages guaranteed by federal government agencies (Ginnie Mae, Fannie Mae, and Freddie Mac). It's a $9T market with the same government backing and AAA/AA+ rating as the Treasuries in a money market fund. No investor has ever lost money in agency MBS due to borrower default.

It's worth acknowledging that many people associate “mortgage-backed securities” with the 2008 financial crisis. But the assets that blew up in 2008 were private-label MBS, bundles of risky subprime mortgages without federal guarantees. Agency MBS holders suffered no credit losses during the crisis, and post-2008 underwriting standards became even stricter. If anything, 2008 was evidence for the safety of agency MBS, not against it.

The agency guarantee eliminates credit risk. Our short-duration, floating-rate strategy addresses the other main risk: price risk. Fixed-rate bonds lose value when rates rise, but floating-rate bonds reset their coupon based on the SOFR benchmark, protecting against interest rate movements.

[2] This comes from the historical spread between MMFs and floating-rate agency MBS; MMFs typically pay very close to SOFR, while the MBS pay SOFR + 1 to 1.5%. This means that if the Federal Reserve changes interest rates and SOFR moves, both asset types will move by about the same amount, and that 1-1.5% premium will remain.

This post is for educational purposes only and does not constitute financial, investment, or legal advice. Past performance does not guarantee future results. Yields and spreads referenced are approximate and based on historical data.

Comments URL: https://news.ycombinator.com/item?id=47278980

Points: 1

# Comments: 0

Article URL: https://cruftbox.com/2026/03/06/getting-a-better-answer-by-asking-three-ais-at-once-llm-discussion/

Comments URL: https://news.ycombinator.com/item?id=47278968

Points: 1

# Comments: 0

Article URL: https://www.cityam.com/sadiq-khan-invites-anthropic-to-move-to-london/

Comments URL: https://news.ycombinator.com/item?id=47278965

Points: 1

# Comments: 0

Article URL: https://github.com/stramanu/latent-cognitive-arch-exploration

Comments URL: https://news.ycombinator.com/item?id=47278960

Points: 1

# Comments: 1

Article URL: https://www.permit.io/blog/securing-ai-agents-why-traditional-authorization-isnt-enough

Comments URL: https://news.ycombinator.com/item?id=47278952

Points: 1

# Comments: 0

Article URL: https://www.theregister.com/2026/03/05/terrapower_sodium_cooled_nuclear_reactor/

Comments URL: https://news.ycombinator.com/item?id=47278948

Points: 1

# Comments: 0

Article URL: https://utcc.utoronto.ca/~cks/space/blog/linux/SystemdSocketIPRestrictions

Comments URL: https://news.ycombinator.com/item?id=47278941

Points: 1

# Comments: 0

Article URL: https://www.theregister.com/2026/03/06/anthropic_left_with_no_other/

Comments URL: https://news.ycombinator.com/item?id=47278927

Points: 1

# Comments: 0

Article URL: https://ryanpo.com/multigen/

Comments URL: https://news.ycombinator.com/item?id=47278924

Points: 1

# Comments: 0