kenny. @codebykenny

@midasavocado This bothers me every single time they post that chart. My brain is forced to think in reverse

@epalgg An easy tell is the minimap. They ALL have entirely different minimaps. Theyre all AI.

Open source models have finally caught up with frontier models, Opus 4.8 level quality for 1/6th the price. The days of Anthropic’s 50% margins are coming to an end.

Guillermo Rauch @rauchg

2 weeks ago

Genuinely impressed, almost shocked, at how good GLM-5.2 by @Zai_org is at coding. This changes things.

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Race to the bottom, inference for the same level of work goes down over time. Insane token prices à la opus, will be hard to justify and will likely be reserved for very specific tasks like running security audits, where you absolutely need SoTA.

Ejaaz @cryptopunk7213

2 months ago

dear god lol - new kimi model is a fucking beast. GPT 5.4 level coding, 76% cheaper than opus 4.7 and 100% open source / free to use, i mean look at this: > kimi k2.6 can code continuously for 12 hours straight, run 300+ agents in parallel from a SINGLE prompt. how the fuck

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Former VP at Meta and Google Deepmind

Mat Velloso @matvelloso

2 weeks ago

All day using GLM 5.2. Didn't miss much. First open model that passes the bar as a daily driver. Things are not going to be the same. Damn, now I want to buy some serious hardware.

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@TablePlus Is there any reason we cannot cancel a running query directly? Is that a bug? It always opens a window with all the connections, which we then have to find our connection, kill it, then close the window. 4 steps when ideally it just be a single button press.

@flybayer Would love access! Looking to bring all our k8 clusters over to AWS with flightcontrol

Introducing Nub. The all-in-one JavaScript toolkit that augments Node.js (instead of trying to replace it)

GitHub has officially been put on notice

Cursor @cursor_ai

2 weeks ago

We're launching code storage and git hosting. Origin gives teams and agents a place to host, review, and collaborate on code. Available this fall. Join the waitlist. cursor.com/origin-waitlist

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USA. A Mexican restaurant. We had not yet ordered anything, and the food was already arriving. Chips. Salsa. Unrequested. Free. I stopped the waiter. "We have not earned these." "They just come with the table, man." They come with the TABLE. In my land, hospitality is a debt. Every gift creates an obligation, weighed carefully, returned in the proper season with interest of feeling. Here, the gift arrives before you have even proven you can pay for dinner. This is not an appetizer. This is a declaration: we trust you. Eat. I ate with the gravity the moment deserved. And then — I must report this calmly — the basket emptied, and a new one appeared. "Did we…?" "Refill," the waiter said. "It's bottomless." Bottomless. They have wells of salsa. The supply lines of this nation are beyond anything my ancestors imagined. My friend warned me. "Don't fill up on chips, dude." Too late. I had accepted three baskets. Honor demanded each one be finished — an unfinished gift is an insult. By the time my actual food arrived, I was a ruined man. I was not hungry. I was not comfortable. I had been defeated by a courtesy. Generosity that arrives before the request cannot be repaid. It can only be survived. I know the rule now. I have made my peace with the basket. One basket. Two at the most. Who am I deceiving. There is no number of baskets I would refuse. The trust of a nation is in that salsa, and I intend to honor all of it.

@andrewmccalip @XAwojinrin There’s providers dedicated to payouts. Payoneer, payquicker, hyperwallet, ipayout You could also simplify your life with crypto payouts.

@zhusee2 I might have to disagree I like the new border radii better, it looks more principled.

@kepano @obsdmd This is great! I use to always copy the contents because I'm scared of a tweet getting deleted

At this point every CEO should be asking what their strategy is to avoid model lock-in. If it isn’t clear what Anthropic is doing, it is: - build something amazing - decide who gets to use it after you prompt it if the prompt falls into areas they deem unacceptable by their sole standard To be clear this is completely above board and legal. It’s just an idiotic risk for corporate users to bear especially as the coding models become equivalent. The business continuity risk will become more obvious as companies accidentally trip over Anthropic’s ToS and have to decide if they will subsume their business viability to them by doubling down on Anthropic models or find open source (and, btw, much cheaper) alternatives where they are in control. As stated previously, get ready to be inundated with the term “control plane” which is the natural solution to this problem. Shameless plug - this is what 8090’s been building as we expected this moment to arrive… If you’d like to learn more: 8090.ai

SemiAnalysis @SemiAnalysis_

3 weeks ago

BREAKING NEWS: Anthropic's latest model will NOT help you if it thinks your ML research/ML engineering is interesting, and/or will secretly degrade its IQ so that the average engineer won't notice. We are already seeing Anthropic's latest model's moderation filters our GPU

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@ThePrimeagen More code = more tokens next time the agent needs to read that file again. Optimized for bloat.

Feeding you dumber responses silently, on purpose, targeting you while charging you the same amount per token totally sounds like something illegal.

Gergely Orosz @GergelyOrosz

3 weeks ago

Things I really dislike about Fable: 1. Anthropic collects my prompt history, stores it, and does whatever they want with it for 30 days. No opt-out 2. They can nerf their most expensive model without telling me, billing me the same amount, wasting my time. Whenever they want

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苹果的发布会视频中，但凡有说到 Siri 的地方，都会切掉音频中 3k、4k、5k、6kHz 频率部分，以防观看视频时附近的苹果设备激活 Siri。

@TablePlus Please add ai tab autocomplete to the main query tab. It would be the single best efficiency improvement to the product you could make. Just feed the current edited query to LLM and predict final query. I’m tired of copying from cursor.

I have to push back on 2 things as i think one is categorically incorrect and the other is demonstrably incorrect. 1. Debugging: Debugging is not a thing if coding is solved. You would produce correct behaviors. I don't understand how a solved problem could produce erroneous behavior. 2. Coding is the easy part: setting hardware, capacity, talking to users, product planning agreed is in fact hard, but so is coding. Example: If coding was in fact not hard then Claude Code having a flickering issue for well over 9 months, which is a purely software challenge, would have been solved almost immediately (immediately being on a shortened time scale comparatively to a human solve time scale). For more trivial applications software approximation can largely work. I also love software approximation for exploring how things should feel.