https://archive.ph/dgme4

Real talk: last month I was running a giveaway campaign for a client. The mechanic was simple — comment to enter, tag a friend for a bonus entry. 3,200 comments later, I was staring at a blank Google Sheet wondering how I was going to verify entries, remove duplicates, and pick a winner without losing my mind. Instagram doesn't give you any export functionality. Zero. You can view comments in the app, you can reply, you can delete — but you cannot export them in any structured way. This is apparently a deliberate product decision, and it's been this way for years. What I tried first: Manually copy-pasting — obviously not scalable past ~50 rows The official Instagram Graph API — requires app review, business account verification, and only returns data from your own posts anyway Third-party "Instagram data export" services — most of these ask for your password or OAuth credentials, which is a non-starter What actually worked: I ended up using a browser extension called [Instagram Comments Scraper](https://chromewebstore.google.com/detail/instagram-comments-scrape/hpfnaodfcakdfbnompnfglhjmkoinbfm) that runs entirely within your browser session. No password required — it just operates within your existing logged-in session, the same way you're already viewing the comments. The data is processed locally and never sent anywhere external. The output columns it gives you: comment ID, comment text, username, profile URL, profile pic URL, and timestamp. That's exactly what you need to do any meaningful analysis — filter by date, spot bot accounts, remove duplicates, identify authentic entries. The rate limiting situation: The part I didn't expect was how Instagram's rate limits work. There's no published threshold — it varies by IP and activity patterns. When the scraper hits a limit, it enters a cooldown mode automatically (the timer shows you how long), then doubles the cooldown if the limit persists. Once the cooldown clears and a request succeeds, it goes back to normal. This meant I could walk away and come back to a finished export rather than babysitting it. End result: 3,200 comments exported to Excel in about 40 minutes of unattended processing. Filtered to valid entries (tagged a user + original commenter had 10+ followers) in another 20 minutes using basic Excel formulas. Caveat I'd add for anyone doing this: Be reasonable about volume and timing. Don't run 10,000-comment scrapes back-to-back on the same IP. The human-like delay system in the tool helps, but bulk scraping in one long session still carries some account risk. Space it out if you're working with large datasets. Anyone else found better approaches to this problem? Especially curious if anyone's had success with the official API for use cases beyond your own posts.

Qi Meng is an AI system that designs entire processor chips end to end from natural language spec to to physical layout. Their QiMeng-CPU-v1 produced a 32-bit RISC-V CPU, matching Intel 486 performance with over four million logic gates, in just five hours. QiMeng-CPU-v2, rivals an Arm Cortex A53 from the 2010s, and the whole thing runs on a domain specific model that learns the graph structures of circuits the way GPT learns text. The appeal of Qi Meng is that this open-source effort has three key interconnected layers melding LLM chip design smarts, a hardware and software design agent, and various chip design apps. The paper shows that the system can do in days what takes human teams weeks to achieve. the paper https://arxiv.org/pdf/2506.05007

The hardware efficiency gains are honestly the most interesting part of the paper. The main reason DeepSeek-V4 is so cheap to run comes down to how they completely bypassed the quadratic cost of standard attention for massive context windows. They built a hybrid attention architecture that interleaves Compressed Sparse Attention and Heavily Compressed Attention. Standard models keep every single token in the KV cache which absolutely kills memory. CSA fixes this by compressing the KV cache of multiple tokens into a single entry and then uses a sparse routing mechanism to only compute attention over the top-k most relevant compressed blocks. HCA takes it a step further by compressing an even larger number of tokens into one entry but computes dense attention over them. So, a 1.6T parameter Pro model only uses a third of the compute FLOPs and 10% of the KV cache memory compared to DeepSeek-V3.2 at a one million token context. They also aggressively pushed low-precision formats applying FP4 quantization-aware training to the Mixture-of-Experts weights and the attention Query-Key paths. MoE models are notoriously memory bound because you have to constantly shuttle massive expert weights into the GPU cores. Dropping these to FP4 slashes the memory bandwidth bottleneck and lets the model run way faster during inference without ruining accuracy since they handle the quantization dynamically during training. On the infrastructure side they wrote a custom fused kernel using TileLang that overlaps communication and computation. When running expert parallelism across multiple GPUs you usually hit a wall waiting for the network. DeepSeek slices the experts into micro-waves so the GPU is crunching matrix math on the first wave while the network is simultaneously pulling the data for the second wave. They basically hid the network latency behind the compute time which means you do not need super expensive interconnects to get peak hardware utilization out of the cluster.

Cross posted from https://lemmy.ml/post/46710548

https://www.sciencedirect.com/science/article/abs/pii/S2095495622003485

## Flipbook (sketchapedia.com)  *Image: [Flipbook - Flipbook](https://sketchapedia.com/)* [Flipbook](https://flipbook.page/) (hosted at sketchapedia.com) is an AI-powered visual browser that generates illustrated, interactive infographics on demand in real time. You type any topic, and it renders a clickable, sometimes animated image explaining it — similar to prompting ChatGPT or Claude, but the output is visual rather than text. According to [LinkedIn](https://www.linkedin.com/posts/dan-zinkin_flipbook-the-infinite-visual-browser-flipbook-activity-7453062289869533184-1ESi), the tool was built by Zain Shah and team. It describes itself as "an infinite visual browser generated entirely on demand in real time." Japanese bookmarking site [Hatena](https://b.hatena.ne.jp/entry/s/flipbook.page/) categorises it under AI, LLM, and web tools, with users tagging it as worth reading later. Sources: [LinkedIn](https://www.linkedin.com/posts/dan-zinkin_flipbook-the-infinite-visual-browser-flipbook-activity-7453062289869533184-1ESi), [Hatena](https://b.hatena.ne.jp/entry/s/flipbook.page/) 

A directory created by the Centers for Medicare and Medicaid Services (CMS) has exposed the Social Security numbers of a number of US healthcare providers. The Trump administration introduced a new Medicare portal as part of plans to modernize US healthcare technology. However, a database that was part of the directory was left publicly accessible, and exposed providers’ names and Social Security numbers.

This is Palantir's corp manifesto. You should read it. > The Technological Republic, in brief. > > 1. Silicon Valley owes a moral debt to the country that made its rise possible. The engineering elite of Silicon Valley has an affirmative obligation to participate in the defense of the nation. > > 2. We must rebel against the tyranny of the apps. Is the iPhone our greatest creative if not crowning achievement as a civilization? The object has changed our lives, but it may also now be limiting and constraining our sense of the possible. > > 3. Free email is not enough. The decadence of a culture or civilization, and indeed its ruling class, will be forgiven only if that culture is capable of delivering economic growth and security for the public. > > 4. The limits of soft power, of soaring rhetoric alone, have been exposed. The ability of free and democratic societies to prevail requires something more than moral appeal. It requires hard power, and hard power in this century will be built on software. > > 5. The question is not whether A.I. weapons will be built; it is who will build them and for what purpose. Our adversaries will not pause to indulge in theatrical debates about the merits of developing technologies with critical military and national security applications. They will proceed. > > 6. National service should be a universal duty. We should, as a society, seriously consider moving away from an all-volunteer force and only fight the next war if everyone shares in the risk and the cost. > > 7. If a U.S. Marine asks for a better rifle, we should build it; and the same goes for software. We should as a country be capable of continuing a debate about the appropriateness of military action abroad while remaining unflinching in our commitment to those we have asked to step into harm’s way. > > 8. Public servants need not be our priests. Any business that compensated its employees in the way that the federal government compensates public servants would struggle to survive. > > 9. We should show far more grace towards those who have subjected themselves to public life. The eradication of any space for forgiveness—a jettisoning of any tolerance for the complexities and contradictions of the human psyche—may leave us with a cast of characters at the helm we will grow to regret. > > 10. The psychologization of modern politics is leading us astray. Those who look to the political arena to nourish their soul and sense of self, who rely too heavily on their internal life finding expression in people they may never meet, will be left disappointed. > > 11. Our society has grown too eager to hasten, and is often gleeful at, the demise of its enemies. The vanquishing of an opponent is a moment to pause, not rejoice. > > 12. The atomic age is ending. One age of deterrence, the atomic age, is ending, and a new era of deterrence built on A.I. is set to begin. > > 13. No other country in the history of the world has advanced progressive values more than this one. The United States is far from perfect. But it is easy to forget how much more opportunity exists in this country for those who are not hereditary elites than in any other nation on the planet. > > 14. American power has made possible an extraordinarily long peace. Too many have forgotten or perhaps take for granted that nearly a century of some version of peace has prevailed in the world without a great power military conflict. At least three generations — billions of people and their children and now grandchildren — have never known a world war. > > 15. The postwar neutering of Germany and Japan must be undone. The defanging of Germany was an overcorrection for which Europe is now paying a heavy price. A similar and highly theatrical commitment to Japanese pacifism will, if maintained, also threaten to shift the balance of power in Asia. > > 16. We should applaud those who attempt to build where the market has failed to act. The culture almost snickers at Musk’s interest in grand narrative, as if billionaires ought to simply stay in their lane of enriching themselves . . . . Any curiosity or genuine interest in the value of what he has created is essentially dismissed, or perhaps lurks from beneath a thinly veiled scorn. > > 17. Silicon Valley must play a role in addressing violent crime. Many politicians across the United States have essentially shrugged when it comes to violent crime, abandoning any serious efforts to address the problem or take on any risk with their constituencies or donors in coming up with solutions and experiments in what should be a desperate bid to save lives. > > 18. The ruthless exposure of the private lives of public figures drives far too much talent away from government service. The public arena—and the shallow and petty assaults against those who dare to do something other than enrich themselves—has become so unforgiving that the republic is left with a significant roster of ineffectual, empty vessels whose ambition one would forgive if there were any genuine belief structure lurking within. > > 19. The caution in public life that we unwittingly encourage is corrosive. Those who say nothing wrong often say nothing much at all. > > 20. The pervasive intolerance of religious belief in certain circles must be resisted. The elite’s intolerance of religious belief is perhaps one of the most telling signs that its political project constitutes a less open intellectual movement than many within it would claim. > > 21. Some cultures have produced vital advances; others remain dysfunctional and regressive. All cultures are now equal. Criticism and value judgments are forbidden. Yet this new dogma glosses over the fact that certain cultures and indeed subcultures . . . have produced wonders. Others have proven middling, and worse, regressive and harmful. > > 22. We must resist the shallow temptation of a vacant and hollow pluralism. We, in America and more broadly the West, have for the past half century resisted defining national cultures in the name of inclusivity. But inclusion into what? > > Excerpts from the #1 New York Times Bestseller *The Technological Republic: Hard Power, Soft Belief, and the Future of the West*, by Alexander C. Karp & Nicholas W. Zamiska