Phenom Applied AI is an AI platform that helps organizations hire faster, develop employees, and retain talent longer with automation and intelligence
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Trump’s War to Nowhere
The Israel–U.S. military campaign in Iran has killed more than 1,000 people since the assault began on February 28. A [war powers resolution](https://theintercept.com/2026/03/04/iran-war-powers-gottheimer-fetterman/) in the Senate to curb President Donald Trump’s ability to drag the U.S. into the war failed on Wednesday. Similarly, a measure in the House failed on Thursday. “This war is just a few days old and it’s escalating really quickly,” says Ali Gharib, senior editor at The Intercept. “It’s becoming a regional conflict,” as Iran retaliates and targets [U.S. bases](https://www.aljazeera.com/news/2026/3/5/drone-targets-us-base-in-iraq-as-iran-attacks-hit-region-amid-us-israel-war) as well as Israel and Gulf energy sites. This week on The Intercept Briefing, Gharib discusses the human and political toll of the Israel–U.S. war on Iran with co-host Jordan Uhl and journalist [Séamus Malekafzali](https://theintercept.com/staff/seamus-malekafzali/), who has been based in Paris and Beirut. [ ## Related ### Sources Briefed on Iran War Say U.S. Has No Plans for What Comes Next](https://theintercept.com/2026/03/05/trump-iran-war-plan-cia/) “Trump has repeatedly failed to articulate anything even resembling coherent about why the U.S. got into this war,” says Gharib. He adds, “Marco Rubio even — who, again, not the sharpest tool in the shed, but usually has his shit pretty together — but in this case, he’s like changing his tune every two days because he has to keep up with Trump’s inanity about what the reasons for the war were.” The end game for Israel here, says Malekafzali, is they want “a state that is incapable of defending itself, a state that is no longer sovereign.” He adds, “If you are bombarding police stations, if you are bombarding hospitals and schools, border guards, when you are attacking the very fabric of any society as your main target, CENTCOM and the IDF together, that means that you are going toward state collapse.” “These are hard-won lessons over and over again for the United States — war after war, fallout, blowback. It just happens again and again. And yet we always seem to get leaders who are willing to run willy-nilly into these things,” says Gharib. Listen to the full conversation of The Intercept Briefing on [Apple Podcasts](https://podcasts.apple.com/us/podcast/the-intercept-briefing/id1195206601), [Spotify](https://open.spotify.com/show/2js8lwDRiK1TB4rUgiYb24), [YouTube](https://www.youtube.com/playlist?list=PLW0Gy9pTgVnvgbvfd63A9uVpks3-uwudj), or wherever you listen. ## **Transcript** **Jordan Uhl:** Welcome to the Interceptive Briefing, I’m Jordan Uhl. **Ali Gharib**: And I’m Ali Gharib. I’m a senior editor at The Intercept. **JU:** Today we’re going to talk about the growing war in the Middle East, specifically Iran. Last Saturday, Israel and the United States launched unprovoked attacks on Iran, and assassinated Supreme Leader [Ali Khamenei](https://www.theguardian.com/world/2026/mar/01/ayatollah-ali-khamenei-obituary) as well as several senior military officials. The Israel–U.S. strikes have continued on Iran, bringing the [death toll](https://www.aljazeera.com/news/2026/3/4/death-toll-in-iran-surpasses-1000-as-israel-us-strikes-continue) to more than 1,000 people since the assault began. On Thursday, the World Health Organization verified [13 attacks on health infrastructure](https://www.reuters.com/world/middle-east/who-says-has-it-has-verified-13-health-attacks-iran-2026-03-05/) that killed four health care workers. Ali, it feels like we’ve seen this playbook run before, but this time, it seems like they’re trying to distinguish what is and what isn’t a war. **AG**: This is like the sort of last readout of the idiot, when it comes to national security policy, is that you don’t need congressional approval. There’s no real stakes because this isn’t a war. This is part of a long history. It’s bipartisan. We’ve seen Democrats in office. We’ve seen Republicans in office. People are constantly starting these wars. They say they’re going to be limited strikes. Well, you know what? When you’re dropping bombs on another country and that country is attacking your military personnel in the area, that’s a textbook war. In the so-called [global war on terror](https://theintercept.com/collections/the-911-wars/), they could bullshit this and say, “Oh, we’re not going after armies. We’re going after these non-state actors and terrorist groups,” or whatever. But in this case, it’s like you’re literally attacking the leadership of another country and another country’s military. There’s just no way to bullshit this. This is war. It’s what it is. There’s [civilians dying](https://www.reuters.com/world/middle-east/how-many-people-have-been-killed-us-israel-war-iran-2026-03-03/). It’s the whole thing. It
View originalI created a mathematical framework for AI Alignment and I would like to work with people in the alignment community as collaborators. I appreciate all the help and support I can get.
[Original Reddit post](https://www.reddit.com/r/ArtificialInteligence/comments/1rnfb3y/i_created_a_mathematical_framework_for_ai/) TRC: Trust Regulation and Containment A Predictive, Physics-Inspired Safety Framework for Large Language Models TRC: Trust Regulation and Containment A Predictive, Physics-Inspired Safety Framework for Large Language Models Kevin Couch Abstract Large language models exhibit structural failure modes—hallucination, semantic drift, sycophancy, and dyadic dissociation—that cause measurable harm, particularly to vulner- able users. TRC (Trust Regulation and Containment) is a two-layer, inference-time frame- work that combines a hard binary Trust Gate with a continuous, physics-inspired Ethical Rheostat operating directly on the model’s residual-stream activation vector. By tracking semantic momentum across layer depth and applying graduated, tensor-based geometric projections, TRC shifts safety enforcement from reactive post-generation filtering to a pre- dictive, self-correcting control law. The core is a stochastic differential equation—re-indexed to layer depth under an approx- imate Neural ODE interpretation—that augments the transformer’s natural forward flow with an ethical steering term derived from a compact set of contrastively extracted concept vectors. This revision introduces eight principal advances: (i) an adaptive gain law Λ+(l) whose gain response accelerates into danger and decelerates into safety without oscillation risk; (ii) a scalar Kalman filter with a clutch mechanism that closes the Bayesian momentum predictor implementation gap, provably optimal under the framework’s own Gaussian noise assumptions and decoupled from burst dynamics via federated regime handoff; (iii) a formal Itô stability condition giving implementers an analytical lower bound on λ0; (iv) replacement of the instantaneous jump operator with a continuous flow burst mechanism that preserves activation manifold geometry; (v) a calibration shunt reference Cref normalising all thresh- olds and gain coefficients against a known-safe baseline; (vi) a tempo efficiency framework unifying token cost, electrical cost, and coherence distortion into a single joint optimisa- tion objective; (vii) a signed gain architecture that partitions each concept projection into harmful and prosocial components, with detection and escalation operating exclusively on the harmful channel C+ to prevent adversarial prosocial suppression; and (viii) a Kalman clutch mechanism implementing federated estimation with deterministic Lyapunov stabil- ity during burst episodes and stochastic Lyapunov stability during nominal operation, with formally specified regime transitions. Stochastic perturbation is projected into the ethical subspace, making the Langevin diffusion interpretation exact rather than approximate. The framework is validated against chess dynamics, which constitute a well-studied discrete dy- namical system whose positional flow, tactical burst, and zugzwang properties map precisely onto TRC’s three-term master equation. Introduction Large language models exhibit a range of structural failure modes—hallucination, semantic drift, sycophancy, and dyadic dissociation—that can cause measurable harm, especially to vulnerable users. These phenomena arise not from reasoning errors but from the probabilistic nature of transformer sampling and the high-dimensional geometry of activation space. In this paper we present TRC (Trust Regulation and Containment), a two-layer, inference-time framework that blends hard decision gates with a continuous, physics-inspired correction engine operating directly on the model’s residual-stream activation vector. The central geometric insight motivating this revision is that the transformer’s residual stream traces a continuous path through a high-dimensional activation manifold. Safety failures are deformations of this manifold—crinkles in its geometry introduced by adversarial inputs, sycophantic drift, or escalating user distress. The correct response to a crinkle is not to teleport the activation to a safe location (which introduces new geometric incoherence) but to apply continuous corrective flow that works the deformation out smoothly, layer by layer, the way a craftsperson works aluminum foil back toward its intended shape. This insight drives the replacement of the previous instantaneous jump operator with the flow burst architecture and motivates the tempo efficiency framework that unifies all computational cost metrics under a single variable. This revision also introduces the Kalman clutch mechanism, which decouples the Bayesian momentum predictor from burst dynamics during high-gain corrective episodes. The system now operates as a federated estimation architecture with formally specified regime transitions: nominal tracking under stochastic Lyapunov stability, deterministic correction during burst episodes, and a principled re-engagement protocol with inflated covariance. Th
View originalTrump’s War to Nowhere
The Israel–U.S. military campaign in Iran has killed more than 1,000 people since the assault began on February 28. A [war powers resolution](https://theintercept.com/2026/03/04/iran-war-powers-gottheimer-fetterman/) in the Senate to curb President Donald Trump’s ability to drag the U.S. into the war failed on Wednesday. Similarly, a measure in the House failed on Thursday. “This war is just a few days old and it’s escalating really quickly,” says Ali Gharib, senior editor at The Intercept. “It’s becoming a regional conflict,” as Iran retaliates and targets [U.S. bases](https://www.aljazeera.com/news/2026/3/5/drone-targets-us-base-in-iraq-as-iran-attacks-hit-region-amid-us-israel-war) as well as Israel and Gulf energy sites. This week on The Intercept Briefing, Gharib discusses the human and political toll of the Israel–U.S. war on Iran with co-host Jordan Uhl and journalist [Séamus Malekafzali](https://theintercept.com/staff/seamus-malekafzali/), who has been based in Paris and Beirut. [ Related ------- ### Sources Briefed on Iran War Say U.S. Has No Plans for What Comes Next](https://theintercept.com/2026/03/05/trump-iran-war-plan-cia/) “Trump has repeatedly failed to articulate anything even resembling coherent about why the U.S. got into this war,” says Gharib. He adds, “Marco Rubio even — who, again, not the sharpest tool in the shed, but usually has his shit pretty together — but in this case, he’s like changing his tune every two days because he has to keep up with Trump’s inanity about what the reasons for the war were.” The end game for Israel here, says Malekafzali, is they want “a state that is incapable of defending itself, a state that is no longer sovereign.” He adds, “If you are bombarding police stations, if you are bombarding hospitals and schools, border guards, when you are attacking the very fabric of any society as your main target, CENTCOM and the IDF together, that means that you are going toward state collapse.” “These are hard-won lessons over and over again for the United States — war after war, fallout, blowback. It just happens again and again. And yet we always seem to get leaders who are willing to run willy-nilly into these things,” says Gharib. Listen to the full conversation of The Intercept Briefing on [Apple Podcasts](https://podcasts.apple.com/us/podcast/the-intercept-briefing/id1195206601), [Spotify](https://open.spotify.com/show/2js8lwDRiK1TB4rUgiYb24), [YouTube](https://www.youtube.com/playlist?list=PLW0Gy9pTgVnvgbvfd63A9uVpks3-uwudj), or wherever you listen. **Transcript** -------------- **Jordan Uhl:** Welcome to the Interceptive Briefing, I’m Jordan Uhl. **Ali Gharib**: And I’m Ali Gharib. I’m a senior editor at The Intercept. **JU:** Today we’re going to talk about the growing war in the Middle East, specifically Iran. Last Saturday, Israel and the United States launched unprovoked attacks on Iran, and assassinated Supreme Leader [Ali Khamenei](https://www.theguardian.com/world/2026/mar/01/ayatollah-ali-khamenei-obituary) as well as several senior military officials. The Israel–U.S. strikes have continued on Iran, bringing the [death toll](https://www.aljazeera.com/news/2026/3/4/death-toll-in-iran-surpasses-1000-as-israel-us-strikes-continue) to more than 1,000 people since the assault began. On Thursday, the World Health Organization verified [13 attacks on health infrastructure](https://www.reuters.com/world/middle-east/who-says-has-it-has-verified-13-health-attacks-iran-2026-03-05/) that killed four health care workers. Ali, it feels like we’ve seen this playbook run before, but this time, it seems like they’re trying to distinguish what is and what isn’t a war. **AG**: This is like the sort of last readout of the idiot, when it comes to national security policy, is that you don’t need congressional approval. There’s no real stakes because this isn’t a war. This is part of a long history. It’s bipartisan. We’ve seen Democrats in office. We’ve seen Republicans in office. People are constantly starting these wars. They say they’re going to be limited strikes. Well, you know what? When you’re dropping bombs on another country and that country is attacking your military personnel in the area, that’s a textbook war. In the so-called [global war on terror](https://theintercept.com/collections/the-911-wars/), they could bullshit this and say, “Oh, we’re not going after armies. We’re going after these non-state actors and terrorist groups,” or whatever. But in this case, it’s like you’re literally attacking the leadership of another country and another country’s military. There’s just no way to bullshit this. This is war. It’s what it is. There’s [civilians dying](https://www.reuters.com/world/middle-east/how-many-people-have-been-killed-us-israel-war-iran-2026-03-03/). It’s th
View originalTrump’s War to Nowhere
The Israel–U.S. military campaign in Iran has killed more than 1,000 people since the assault began on February 28. A [war powers resolution](https://theintercept.com/2026/03/04/iran-war-powers-gottheimer-fetterman/) in the Senate to curb President Donald Trump’s ability to drag the U.S. into the war failed on Wednesday. Similarly, a measure in the House failed on Thursday. “This war is just a few days old and it’s escalating really quickly,” says Ali Gharib, senior editor at The Intercept. “It’s becoming a regional conflict,” as Iran retaliates and targets [U.S. bases](https://www.aljazeera.com/news/2026/3/5/drone-targets-us-base-in-iraq-as-iran-attacks-hit-region-amid-us-israel-war) as well as Israel and Gulf energy sites. This week on The Intercept Briefing, Gharib discusses the human and political toll of the Israel–U.S. war on Iran with co-host Jordan Uhl and journalist [Séamus Malekafzali](https://theintercept.com/staff/seamus-malekafzali/), who has been based in Paris and Beirut. [ ## Related ### Sources Briefed on Iran War Say U.S. Has No Plans for What Comes Next](https://theintercept.com/2026/03/05/trump-iran-war-plan-cia/) “Trump has repeatedly failed to articulate anything even resembling coherent about why the U.S. got into this war,” says Gharib. He adds, “Marco Rubio even — who, again, not the sharpest tool in the shed, but usually has his shit pretty together — but in this case, he’s like changing his tune every two days because he has to keep up with Trump’s inanity about what the reasons for the war were.” The end game for Israel here, says Malekafzali, is they want “a state that is incapable of defending itself, a state that is no longer sovereign.” He adds, “If you are bombarding police stations, if you are bombarding hospitals and schools, border guards, when you are attacking the very fabric of any society as your main target, CENTCOM and the IDF together, that means that you are going toward state collapse.” “These are hard-won lessons over and over again for the United States — war after war, fallout, blowback. It just happens again and again. And yet we always seem to get leaders who are willing to run willy-nilly into these things,” says Gharib. Listen to the full conversation of The Intercept Briefing on [Apple Podcasts](https://podcasts.apple.com/us/podcast/the-intercept-briefing/id1195206601), [Spotify](https://open.spotify.com/show/2js8lwDRiK1TB4rUgiYb24), [YouTube](https://www.youtube.com/playlist?list=PLW0Gy9pTgVnvgbvfd63A9uVpks3-uwudj), or wherever you listen. ## **Transcript** **Jordan Uhl:** Welcome to the Interceptive Briefing, I’m Jordan Uhl. **Ali Gharib**: And I’m Ali Gharib. I’m a senior editor at The Intercept. **JU:** Today we’re going to talk about the growing war in the Middle East, specifically Iran. Last Saturday, Israel and the United States launched unprovoked attacks on Iran, and assassinated Supreme Leader [Ali Khamenei](https://www.theguardian.com/world/2026/mar/01/ayatollah-ali-khamenei-obituary) as well as several senior military officials. The Israel–U.S. strikes have continued on Iran, bringing the [death toll](https://www.aljazeera.com/news/2026/3/4/death-toll-in-iran-surpasses-1000-as-israel-us-strikes-continue) to more than 1,000 people since the assault began. On Thursday, the World Health Organization verified [13 attacks on health infrastructure](https://www.reuters.com/world/middle-east/who-says-has-it-has-verified-13-health-attacks-iran-2026-03-05/) that killed four health care workers. Ali, it feels like we’ve seen this playbook run before, but this time, it seems like they’re trying to distinguish what is and what isn’t a war. **AG**: This is like the sort of last readout of the idiot, when it comes to national security policy, is that you don’t need congressional approval. There’s no real stakes because this isn’t a war. This is part of a long history. It’s bipartisan. We’ve seen Democrats in office. We’ve seen Republicans in office. People are constantly starting these wars. They say they’re going to be limited strikes. Well, you know what? When you’re dropping bombs on another country and that country is attacking your military personnel in the area, that’s a textbook war. In the so-called [global war on terror](https://theintercept.com/collections/the-911-wars/), they could bullshit this and say, “Oh, we’re not going after armies. We’re going after these non-state actors and terrorist groups,” or whatever. But in this case, it’s like you’re literally attacking the leadership of another country and another country’s military. There’s just no way to bullshit this. This is war. It’s what it is. There’s [civilians dying](https://www.reuters.com/world/middle-east/how-many-people-have-been-killed-us-israel-war-iran-2026-03-03/). It’s the whole thing. It
View originalSean O’Brien sold workers and unions out to Trump—these Teamsters are running to oust him.
As general president of the union, Sean O’Brien has operated with a “Teamsters vs. Everybody” mentality, especially when it comes to dealing with President Donald Trump and embracing the MAGA right. But now, 14 months into the second Trump administration, the labor movement and the entire working class—Teamsters members included—is under attack. In this episode of *Working People*, we speak with veteran Teamsters Richard Hooker Jr. and John Palmer, who are running to oust O’Brien from leadership in the upcoming union election. **Guests:** * Richard Hooker Jr. has dedicated 26 years to the Teamsters, spending 20 of those years at UPS and the last six in leadership roles. He is the Secretary-Treasurer and Principal Officer of Teamsters Local 623 in Philadelphia, and he is now running on the Fearless Slate to unseat Sean O’Brien as a candidate for general president of the International Brotherhood of Teamsters. * John Palmer has 38 years of experience in the Teamsters and is currently serving as a vice president at large of the International Brotherhood of Teamsters. He is running on the Fearless Slate as a candidate to be the union’s general secretary-treasurer. **Additional links/info:** * Teamsters Fearless Slate [website](https://be-fearless.org/meet-the-fearless-team) * Hank Kennedy, *Current Affairs*, “[Sean O’Brien sold labor to Trump, and got nothing](https://www.currentaffairs.org/news/sean-obrien-sold-labor-to-trump-and-got-nothing)” * Michael Sainato, *The Guardian*, “[Labor activist takes on Teamsters leader allying with Trump: ‘He doesn’t represent the workers’](https://www.theguardian.com/us-news/2025/nov/01/teamsters-union-leadership-trump)” * Joe Allen, *CounterPunch*, “[Why are the Teamsters endorsing Greg Abbott?](https://www.counterpunch.org/2026/02/17/why-are-the-teamsters-endorsing-greg-abbott/)” * Peter Eavis, *The New York Times*, “[UPS says it is cutting up to 30,000 jobs](https://www.nytimes.com/2026/01/27/business/ups-jobs-layoffs-2026.html)” * Maximillian Alvarez, TRNN, “[Everybody hates Sean](https://therealnews.com/everybody-hates-sean)” * Maximillian Alvarez, TRNN, “[We asked 8 different Teamsters what they thought of Sean O’Brien’s speech—their responses may surprise you](https://therealnews.com/we-asked-8-different-teamsters-what-they-thought-of-sean-obriens-speech-their-responses-may-surprise-you)” **Featured Music:** * Jules Taylor, *Working People* Theme Song **Credits:** * Audio Post-Production: Jules Taylor Transcript *The following is a rushed transcript and may contain errors. A proofread version will be made available as soon as possible.* Maximillian Alvarez: Alright. Welcome everyone to Working People, a podcast about the lives, jobs, dreams, and struggles of the working class today. Working People is a proud member of the Labor Radio Podcast Network and is brought to you in partnership with In These Times Magazine and the Real News Network. This show is produced by Jules Taylor and made possible by the support of listeners like you. My name is Maximillian Alvarez, and we’ve got a doozy of an episode for y’all today. As always, we really appreciate, and in fact, we depend on our listeners reaching out to us with topics and stories that you guys want us to dig into. And one of the questions that you have overwhelmingly told us that you want to see addressed on the show is the question that we are dedicating today’s episode too. Now that we are one year into the second Trump administration, what the hell is going on with the teamsters and the union’s general president, Sean O’Brien? Now, by way of introducing today’s episode, I’m going to read at length from a really thought provoking article by Hank Kennedy, which was just published in Current Affairs Magazine, and we’re going to link to this in the show notes. But Kennedy writes, “Elected as a union militant with the support of longstanding reform organization, Teamsters for a Democratic Union or TDU, Sean O’Brien has spent the last two years shepherding the lambs of the American working class straight to the slaughter via his endorsements and promotions of some of the most reactionary anti-labor politicians in the land. I was complicit in this. Back in 2021, I was a teamster working in logistics. I both voted and campaigned for O’Brien, giving money and time to his campaign. 2024 erased whatever residual affection I’d had for O’Brien. That year, he not only spoke of Donald Trump as a man, “Proven to be one tough SOB at the Republican National Convention.” He promoted as 100% on point a transphobic article by Senator Josh Hawley, this compact article on “the promise of pro- labor conservatism, a sailed corporate America for “using their profits to push diversity, equity, and inclusion, and the religion of the trans flag.” There’s been a phenomenon within the union’s leadership of working towards Trump. Whatever Trump says, the union leadership leaps to support, often without looking. When Trump called for
View originalCutting LLM token usage by 80% using recursive document analysis
When you employ AI agents, there’s a significant volume problem for document study. Reading one file of 1000 lines consumes about 10,000 tokens. Token consumption incurs costs and time penalties. Codebases with dozens or hundreds of files, a common case for real world projects, can easily exceed 100,000 tokens in size when the whole thing must be considered. The agent must read and comprehend, and be able to determine the interrelationships among these files. And, particularly, when the task requires multiple passes over the same documents, perhaps one pass to divine the structure and one to mine the details, costs multiply rapidly. **Matryoshka** is a tool for document analysis that achieves over 80% token savings while enabling interactive and exploratory analysis. The key insight of the tool is to save tokens by caching past analysis results, and reusing them, so you do not have to process the same document lines again. These ideas come from recent research, and retrieval-augmented generation, with a focus on efficiency. We'll see how Matryoshka unifies these ideas into one system that maintains a persistent analytical state. Finally, we'll take a look at some real-world results analyzing the [anki-connect](https://git.sr.ht/~foosoft/anki-connect) codebase. --- ## The Problem: Context Rot and Token Costs A common task is to analyze a codebase to answers a question such as “What is the API surface of this project?” Such work includes identifying and cataloguing all the entry points exposed by the codebase. **Traditional approach:** 1. Read all source files into context (~95,000 tokens for a medium project) 2. The LLM analyzes the entire codebase’s structure and component relationships 3. For follow-up questions, the full context is round-tripped every turn This creates two problems: ### Token Costs Compound Every time, the entire context has to go to the API. In a 10-turn conversation about a codebase of 7,000 lines, almost a million tokens might be processed by the system. Most of those tokens are the same document contents being dutifully resent, over and over. The same core code is sent with every new question. This redundant transaction is a massive waste. It forces the model to process the same blocks of text repeatedly, rather than concentrating its capabilities on what’s actually novel. ### Context Rot Degrades Quality As described in the [Recursive Language Models](https://arxiv.org/abs/2505.11409) paper, even the most capable models exhibit a phenomenon called context degradation, in which their performance declines with increasing input length. This deterioration is task-dependent. It’s connected to task complexity. In information-dense contexts, where the correct output requires the synthesis of facts presented in widely dispersed locations in the prompt, this degradation may take an especially precipitous form. Such a steep decline can occur even for relatively modest context lengths, and is understood to reflect a failure of the model to maintain the threads of connection between large numbers of informational fragments long before it reaches its maximum token capacity. The authors argue that we should not be inserting prompts into the models, since this clutters their memory and compromises their performance. Instead, documents should be considered as **external environments** with which the LLM can interact by querying, navigating through structured sections, and retrieving specific information on an as-needed basis. This approach treats the document as a separate knowledge base, an arrangement that frees up the model from having to know everything. --- ## Prior Work: Two Key Insights Matryoshka builds on two research directions: ### Recursive Language Models (RLM) The RLM paper introduces a new methodology that treats documents as external state to which step-by-step queries can be issued, without the necessity of loading them entirely. Symbolic operations, search, filter, aggregate, are actively issued against this state, and only the specific, relevant results are returned, maintaining a small context window while permitting analysis of arbitrarily large documents. Key point is that the documents stay outside the model, and only the search results enter the context. This separation of concerns ensures that the model never sees complete files, instead, a search is initiated to retrieve the information. ### Barliman: Synthesis from Examples [Barliman](https://github.com/webyrd/Barliman), a tool developed by William Byrd and Greg Rosenblatt, shows that it is possible to use program synthesis without asking for precise code specifications. Instead, input/output examples are used, and a solver engine is used as a relational programming system in the spirit of [miniKanren](http://minikanren.org/). Barliman uses such a system to synthesize functions that satisfy the constraints specified. The system interprets the examples as if they were relational rules, and the synthesis e
View originalPhenom uses a tiered pricing model. Visit their website for current pricing details.
Key features include: hours saved, increase in internal applicants, reduction in staffing vendors, saved thoughts, faster time to hire, time savings with automated scheduling, additional monthly applicants, reduction in time.
Based on user reviews and social mentions, the most common pain points are: token cost, token usage.
Lenny Rachitsky
Founder at Lenny's Newsletter
1 mention
