It’s maddening how the town only decides to “protect” Janie’s reputation the moment she starts living for herself. For twenty years, they watched her waste away as Jody’s trophy, but overalls and a game of checkers? That’s where they draw the line. Pheoby is the only one who treats Janie like a human being instead of a spectacle.

Not happy about going to a picnic.

The towns people do not like tea cake and Janie together but Janie doesn’t care. They are very rude to her.

Janie and tea cake start to hang out every day and the people in the town are judging them because Janie moved on fast

Janie doesn’t care what the town thinks and just wants to live her life and be happy with tea cake even if people judge her

They were getting mad and they also had a picnic. People were getting mad about tea cake being with Janie

They just have fun doing things they like to do

The town was mad at Janie for being with a younger man like Tea Cake so little time after Joe died.

Janie married Tea Cake but the town thinks it’s to early for Janie to be moving on from Joe.

She knew tea cake liked her but didn’t want to admit she liked him to.

A lot of people were gone for the game so the business was dull

She had closed the buisness because of the game that day.

She got married but he seems to care about money. She is changing all the time and doesnt know how to feel about him.

Tea cake might just be using Janie for her money and for luck when he gambles.. gold digger

She had money in her coat and she lost it

Janie wanted to trust Tea Cake instead of thinking the worst.

Tea cake expresses emotion and he wrote to Janie

Joe had a nice funeral because he had a lot of money.

They were sad he died but were also happy about his death.

Jody and Janie seem mad and feels like there is tension between the,

The hippocampus is particularly vulnerable to early environmental adversity, with growing evidence linking its disrupted development to impairments in learning and emotional regulation in childhood.

I’m excited about these findings. A better understanding of the mechanisms underlying hippocampal development gives us targets for translational work aimed at identifying and mitigating sources of adversity linked to poor neurodevelopmental outcomes.

Would love to hear thoughts from the community.

Men silencing women, to uplift themselves only so everything is focused on them, or just making women's actions/events seem smaller than they actually are.

Majority of the women given rights were White women at first due to their privelage, and with those privelages they were given such as being able to work, they placed their homemaking roles onto WOC who had limited rights, and job opportunities.

Only focused as homemakers, not able to get jobs like men, etc. Or go off places like men just in general not given the same privelages.

DELETE this entire sentence. Citing Razin (2025) on declining trust in democratic institutions as an emigration driver opens a major thematic door that this piece does not walk through anywhere else. Dropping it as a one-liner is more confusing than illuminating; readers will expect us to engage with it. Either commit to a full subsection on institutional trust (with our own data), or cut the reference entirely. Recommend cut.

DELETE this paragraph. Three reasons: (1) it is a third or fourth restatement of the same Munich-vs-Zurich math, the reader has seen the figure already; (2) it implicitly attributes the move to tax / salary differentials, which we cannot substantiate (see the 'lower personal tax burden' and 'each for different reasons' annotations); (3) it cherry-picks (no cost-of-living adjustment, see the 'Swiss salaries' and 'EUR 14,550 less' annotations). Cut the whole paragraph. The fiscal-cost section makes its point with the aggregate 11-21 billion EUR figure (which itself needs the offset from the '11 to 21 billion' annotation).

REWRITE, phrase as assumption, not fact. We do not directly observe employment status; we are inferring it from age. Suggested rewrite: 'Roughly 53% are working age (25-64). Applied to the annual net loss of 91,067, that implies roughly 48,000 LIKELY economically active people per year, an estimate, not a measurement, since employment status is not observed in the source data.' Apply the same hedging language anywhere else the piece treats working-age and economically active as synonyms. Tied to the 'age profile points to working-age' annotation.

DELETE the word 'bureaucracy.' Two problems: (1) it echoes a right-wing populist trope ('German bureaucracy is killing us') without evidence that the destination countries (Austria, Switzerland, US) are meaningfully less bureaucratic for an individual emigrant; (2) we provide no measurement of bureaucratic burden as an emigration driver. Cut the word from the list. The remaining factors (career opportunities, housing costs, quality of life) stand on their own.

DELETE, ties to the 'EUR 14,550 less in Munich than Zurich' annotation. This footnote tries to soften the cherry-picking by mentioning Kindergeld and Swiss gross salaries, but it goes the wrong way: it actually amplifies the 'Switzerland is better' framing without showing the other side. Switzerland is significantly more expensive, especially for families. German childcare is heavily subsidized (free in some Länder); Swiss childcare runs around CHF 2,000/month. Health insurance, rent, groceries are all materially higher. ACTION: remove this footnote when removing the worked example. If the author insists on keeping any salary/tax comparison anywhere in the piece, it MUST be cost-of-living-adjusted (purchasing power parity or net-of-childcare disposable income), otherwise it is cherry-picking.

DELETE this sentence and the surrounding 'Spot the Swiss-German difference' subsection in full. The same earner does not earn the same EUR 75,000 in Zurich; gross salaries are 30-50% higher there, costs are higher, and the framing implies tax is the driver of emigration, which we cannot substantiate. Keeping it weakens the piece by inviting the obvious cherry-picking objection. Keep the OECD tax-burden table (it is neutral reference data). Cut the worked example and the 'EUR 14,550 less' framing.

VERIFY, claim needs source check. Are we sure Spain's positive headline is driven by FOREIGN-BORN naturalized citizens returning, and not by NATIVE-BORN Spanish citizens returning home (e.g. the post-2008-crisis emigration wave coming back)? The current sentence asserts the first interpretation, but the underlying INE / Eurostat tables typically distinguish 'place of birth' from 'citizenship'. We should check the place-of-birth breakdown directly. FLAG: send research agent to confirm using INE microdata or Eurostat 'migr_imm3ctb' (immigration by country of birth and citizenship). Rewrite once verified, with a footnote citing the table.

CLARIFY, two timelines are tangled. The reader cannot tell whether: (a) 2024 was the first year Sweden's TOTAL migration flow went negative in 50+ years (likely true, due to the tightening of foreign-migration policy), or (b) 2024 was the first year the NATIVE-BORN flow went negative, which seems unlikely given the tripling-since-2019 figure cited elsewhere. Rewrite to separate them clearly. Example: 'Sweden's total migration balance turned negative in 2024 for the first time in over 50 years. The government attributes this primarily to tightened rules on foreign immigration. Separately, native-born net emigration has been negative since [YEAR] and tripled between 2019 and 2024. The drivers of that native-born trend are not yet well understood.' Verify the actual year native-born flow turned negative before publishing.

CLARIFY OR CUT. 'Rigid labor markets' is jargon. What specifically does this mean for Italy? (Difficulty firing? Strong public-sector tenure blocking lateral moves? Concentration of jobs by region?) If we keep it, define it concretely with one example. If we cannot substantiate it as a meaningful driver of emigration, drop it. The rest of the Italy paragraph (wage differentials, Germany as destination) is strong enough on its own.

REPHRASE, false certainty repeated. The 'each for different reasons' framing is asserted multiple times without evidence about motive (we observe destinations and demographics, not why individuals chose them). Rewrite to: 'The three destinations differ in what they plausibly offer: higher pay (CH), language and proximity (AT), career scale (US). Individual motives cannot be observed in this dataset.' Then audit the rest of the piece for other instances of the same overclaim and align the language. Tied to the 'lower personal tax burden' annotation.

SOFTEN causal claims. We do not actually know why individuals move; motives are personal and unobserved. Rewrite to present factors as plausible, not definitive: 'Among the plausible draws are higher gross salaries, a lower personal tax burden, and proximity. We cannot observe motives directly.' For Switzerland specifically: lead with higher gross pay (the most defensible factor), not tax. For Austria (in the next paragraph): cut 'despite a nearly identical tax burden', it implies emigrants are tax-driven and is unsupported. Keep shared language, geography, proximity, and quality of life as draws, those are convincing. The US framing is fine as-is.

MAKE THE ASSUMPTION EXPLICIT. We are inferring 'economically active' from 'working age', which is an inference, not a measurement. Do not hide it. Suggested rewrite: 'The age profile is dominated by working-age adults (25-64). We treat them as likely economically active, supported by panel-study evidence that 76% hold a university degree (vs. 25% nationally), a population strongly attached to the labor market.' Apply the same wording discipline ('likely', 'we assume') consistently wherever the piece slips from 'working age' to 'working' or 'economically active' (see also the '48,000 economically active' annotation in the cost section). Goal: pre-empt the obvious counter-argument that some of these people may be on benefits, students, or non-working partners.

REWRITE, same language risk as the 'immigrants moving on' annotation. The phrase 'your own people' (in the paragraph anchored just below this point, Hypothesis would not let me select it directly) is unacceptable. It implies a national in-group versus outsiders and echoes nativist framing. Suggested rewrite: replace 'your own people' with neutral terminology like 'people the country educated and invested in' or 'domestically born and raised population.' Apply this consistently throughout the piece.

REWRITE, language risk. The phrasing 'immigrants moving on, not Germans leaving' implicitly excludes German passport-holders born abroad from the category 'Germans.' This reads as othering and risks being read as right-wing or nativist framing, even if that was not the intent. Suggested rewrite (neutral, descriptive): 'Most of the half-million emigrants in 2024 were people born abroad, including naturalized German citizens, leaving Germany again. The native-born outflow is a smaller but distinct subset.' STANDING NOTE for AI: any time you spot language with similar 'us vs. them' or 'real Germans' undertones in this piece, flag it for green-light review before publishing.

REWRITE this key finding. State the WHERE first, save the WHY for later. Replace the current bullet with: 'The top three destinations for German emigrants are Switzerland, Austria, and the United States.' Remove the EUR 75,000 / Munich-vs-Zurich worked example from this key-findings box. It is premature here, attributes motive to taxes (which we cannot substantiate), and crowds out the simple geographic finding. The 'why' belongs in a later analysis section, not in the headline finding.

REWRITE for impact. Right now this sentence is vague (it teases 'a different story' without saying what). The headline above already gave away the punchline, so the subhead should now deliver substance, not suspense. Suggested direction: name the actual finding. Example: '17 of 19 European countries are losing more native-born citizens than they gain, and the headline migration figures hide it.' Make it concrete and punchy.

FLAG / TODO: revisit. The 'brain drain' framing is the heart of what's problematic about this piece, but I don't have a concrete fix yet. Leaving the marker so I can come back to it. No edit needed in this pass.

eLife Assessment

This valuable study reports a spatiotemporal atlas of mouse placental development and explores the role of glycogen trophoblast cells in fetal viability. Solid data are presented to support the main conclusion. This work will be of great interest to developmental DNA reproductive biologists.

Reviewer #1 (Public review):

In this manuscript, the authors combine single-nucleus RNA sequencing with spatial transcriptomics to generate a spatiotemporal atlas of mouse placental development and explore the role of glycogen trophoblast cells in fetal viability. The study integrates several computational approaches, including trajectory analysis, regulatory network inference, and spatial mapping, together with histology and glycogen measurements. Based on these analyses, the authors propose that glycogen trophoblast cells provide metabolic support that is important for maintaining placental function and fetal survival.

One of the main strengths of the study is the quality and scope of the dataset. The integration of snRNA-seq with Stereo-seq spatial transcriptomics provides a detailed view of placental organization across regions and developmental stages. This type of combined spatial and transcriptional analysis is still relatively rare in placental biology and represents an important contribution to the field. The atlas itself will likely be a valuable resource for future studies.

Another strength is the effort to connect transcriptional findings with tissue-level validation. The glycogen staining and biochemical measurements support the interpretation that glycogen trophoblast cells contribute to placental metabolic function. The spatial analyses identifying macrophage accumulation in the labyrinth region of mutant placentas are also interesting and illustrate how spatial approaches can reveal microenvironmental changes that are difficult to detect otherwise.

The main limitation of the study is that the conclusion that glycogen cells are essential mediators of metabolic support for fetal viability remains partly indirect. The transcriptomic and spatial data strongly suggest a role for these cells, but it is still difficult to determine whether glycogen cell dysfunction is the primary cause of fetal lethality or a consequence of broader placental abnormalities. Clarifying this point would strengthen the central message of the paper.

Similarly, the macrophage accumulation observed in the labyrinth appears consistent with a response to tissue stress or injury, but its relationship to glycogen cell function is not fully explained. A clearer discussion of whether this represents a primary mechanism or a secondary effect would improve the interpretation.

Overall, this is a strong dataset and a useful spatial atlas of placental development. The study provides convincing descriptive insight into glycogen trophoblast biology, and with some clarification of the mechanistic conclusions, the manuscript will be even stronger.

Reviewer #2 (Public review):

This manuscript constructs a spatiotemporal transcriptomic atlas (STAMP) of the mouse placenta from E9.5-E18.5 by integrating Stereo-seq and snRNA-seq, and identifies two glycogen trophoblast cell (GC) subtypes (GC-1 and GC-2), a spatial transition from the junctional zone (JZ) to the decidua, and metabolic defects in Ano6-null placentas including GC persistence, glycogen accumulation, reduced glycogenolysis metabolites, and partial rescue by maternal glucose supplementation. The breadth of the dataset and the integration of atlas construction with PAS/TEM/LC-MS analyses are impressive, and the study has the potential to provide a valuable resource for the placental biology community.

However, in its current form, the central claim that "GC-mediated metabolic support is essential/indispensable for fetal viability" is not sufficiently disentangled from the complex phenotype of a global Ano6 knockout model. In addition, the stage-level biological replication in the atlas and the claim of "single-cell resolution" require more careful presentation. Therefore, while the study is interesting and potentially impactful, substantial revisions are required, particularly to recalibrate the strength of the conclusions and causal interpretations.

Major comments

(1) The most significant concern is that the manuscript overinterprets the phenotype observed in a global Ano6 knockout as direct evidence that GC glycogen metabolism is essential for fetal viability. The authors themselves report multiple severe placental abnormalities in the knockout, including reduced placental size and weight, structural defects in the labyrinth, impaired vascularization, and accumulation of abnormal regions. Previous studies cited in the manuscript also indicate that Ano6 deficiency leads to defects in syncytiotrophoblast formation, impaired maternofetal exchange, and perinatal lethality.

In this context, the current data support an association between GC metabolic defects and fetal lethality, but do not establish that GC glycogen metabolism is the primary causal driver. The conclusion should therefore be moderated (e.g., "contributes to" rather than "is essential for"), unless additional placenta-specific or GC-specific functional validation is provided.

(2) Maternal glucose supplementation is an interesting functional experiment, but in its current form, it provides supportive rather than definitive mechanistic evidence. While survival improves (from ~3% to ~10%), the rescue remains partial. Moreover, the readouts are largely limited to metabolite restoration (glucose, G1P, G6P) in the placenta and fetal liver.

To support a stronger causal claim, the authors should assess whether glucose supplementation also rescues: placental morphology (especially labyrinth structure), GC number and PAS staining, ultrastructural glycogen features (TEM), fetal growth and developmental outcomes.

(3) The atlas is constructed from nine placentas across developmental stages, suggesting limited biological replication per stage. It remains unclear how robust the observed temporal trends are to litter effects, sex differences, or sectioning variability.

Furthermore, the "single-cell resolution" is not directly measured but inferred via image segmentation and reference-based mapping (e.g., TACCO). This should be more explicitly stated, as it represents computational inference rather than direct single-cell measurement.

The authors should:<br /> - clearly report biological replicates per stage (including litter and sex),<br /> - demonstrate reproducibility of key patterns across independent samples,<br /> - refine the wording to reflect segmentation- and reference-based single-cell inference.

(4) The proposed developmental trajectory (JZ progenitor → GC precursor → GC-1 → GC-2) and the claim of GC migration from JZ to decidua are based on spatial distribution and computational trajectory analyses (Monocle, CytoTRACE).

While this is a compelling model, it remains inferential. The language throughout the manuscript should be softened (e.g., "consistent with spatial transition" rather than "migration"). Ideally, additional experimental validation, such as stage-resolved RNAscope/immunostaining quantification or lineage tracing, would strengthen this claim.

(5) The manuscript concludes that ANO6 deficiency leads to impaired glycogen utilization, based primarily on the observation that differentiation markers and glycogenolytic enzyme transcripts are unchanged.

However, this demonstrates what is not altered rather than what is mechanistically responsible for the defect. A more direct mechanistic link is needed, such as changes in enzyme activity, altered intracellular localization, effects on ion homeostasis or membrane biology.

(6) The statistical framework requires clarification. Several analyses use n = 4-8 placentas or "independent experiments," but it is unclear whether these represent independent litters or multiple samples from the same dam.

Given the risk of pseudoreplication in placental studies, the authors should define whether n refers to placentas or litters, report the number of dams per genotype, and ensure appropriate statistical treatment (e.g., litter-based analysis or mixed-effects models).

Author response:

eLife Assessment

This valuable study reports a spatiotemporal atlas of mouse placental development and explores the role of glycogen trophoblast cells in fetal viability. Solid data are presented to support the main conclusion. This work will be of great interest to developmental DNA reproductive biologists.

We thank the editors for this positive and balanced assessment of our study. We are encouraged that the spatiotemporal mouse placental atlas and the functional analysis of glycogen trophoblast cells were considered valuable, and that the data were viewed as providing solid support for the main conclusions.

In the revised manuscript, we will further clarify the scope of these conclusions, particularly regarding the contribution of GC-associated glycogen metabolism to fetal viability in the global Ano6 knockout model. We will also refine the wording where needed to ensure that the mechanistic interpretation accurately reflects the strength of the available evidence.

Public Reviews:

Reviewer #1 (Public review):

In this manuscript, the authors combine single-nucleus RNA sequencing with spatial transcriptomics to generate a spatiotemporal atlas of mouse placental development and explore the role of glycogen trophoblast cells in fetal viability. The study integrates several computational approaches, including trajectory analysis, regulatory network inference, and spatial mapping, together with histology and glycogen measurements. Based on these analyses, the authors propose that glycogen trophoblast cells provide metabolic support that is important for maintaining placental function and fetal survival.

One of the main strengths of the study is the quality and scope of the dataset. The integration of snRNA-seq with Stereo-seq spatial transcriptomics provides a detailed view of placental organization across regions and developmental stages. This type of combined spatial and transcriptional analysis is still relatively rare in placental biology and represents an important contribution to the field. The atlas itself will likely be a valuable resource for future studies.

Another strength is the effort to connect transcriptional findings with tissue-level validation. The glycogen staining and biochemical measurements support the interpretation that glycogen trophoblast cells contribute to placental metabolic function. The spatial analyses identifying macrophage accumulation in the labyrinth region of mutant placentas are also interesting and illustrate how spatial approaches can reveal microenvironmental changes that are difficult to detect otherwise.

The main limitation of the study is that the conclusion that glycogen cells are essential mediators of metabolic support for fetal viability remains partly indirect. The transcriptomic and spatial data strongly suggest a role for these cells, but it is still difficult to determine whether glycogen cell dysfunction is the primary cause of fetal lethality or a consequence of broader placental abnormalities. Clarifying this point would strengthen the central message of the paper.

Similarly, the macrophage accumulation observed in the labyrinth appears consistent with a response to tissue stress or injury, but its relationship to glycogen cell function is not fully explained. A clearer discussion of whether this represents a primary mechanism or a secondary effect would improve the interpretation.

Overall, this is a strong dataset and a useful spatial atlas of placental development. The study provides convincing descriptive insight into glycogen trophoblast biology, and with some clarification of the mechanistic conclusions, the manuscript will be even stronger.

We thank the reviewer for this constructive assessment of our manuscript. We are pleased that the reviewer recognized the quality and scope of the dataset, particularly the integration of snRNA sequencing with Stereo-seq spatial transcriptomics to generate a spatiotemporal atlas of mouse placental development. We also appreciate the reviewer’s view that this atlas represents a valuable resource for the placental biology and developmental biology communities. We also appreciate the reviewer’s important point that the causal relationship between glycogen trophoblast cell dysfunction, placental metabolic impairment, and fetal viability should be presented with appropriate caution. In the revised manuscript, we will clarify that our data support a strong association between impaired glycogen trophoblast cell function, altered placental glycogen metabolism, and fetal lethality in the global Ano6 knockout model, but do not by themselves establish glycogen trophoblast dysfunction as the sole or primary cause of fetal loss. We will revise the relevant sections to avoid overstatement and to distinguish more clearly between direct experimental evidence, correlative spatial-transcriptomic observations, and mechanistic interpretation. Similarly, we agree that the macrophage accumulation observed in the labyrinth region is most appropriately interpreted as a spatially localized immune or tissue-stress response in the mutant placenta. In the revised manuscript, we will expand the discussion to clarify that, while this observation may reflect downstream consequences of placental dysfunction and altered tissue homeostasis, the current data do not establish macrophage accumulation as a primary mechanism linking glycogen trophoblast defects to fetal lethality. We will therefore frame this finding as an important microenvironmental alteration revealed by the spatial atlas, rather than as definitive evidence of a direct causal pathway.

Reviewer #2 (Public review):

This manuscript constructs a spatiotemporal transcriptomic atlas (STAMP) of the mouse placenta from E9.5-E18.5 by integrating Stereo-seq and snRNA-seq, and identifies two glycogen trophoblast cell (GC) subtypes (GC-1 and GC-2), a spatial transition from the junctional zone (JZ) to the decidua, and metabolic defects in Ano6-null placentas including GC persistence, glycogen accumulation, reduced glycogenolysis metabolites, and partial rescue by maternal glucose supplementation. The breadth of the dataset and the integration of atlas construction with PAS/TEM/LC-MS analyses are impressive, and the study has the potential to provide a valuable resource for the placental biology community.

However, in its current form, the central claim that "GC-mediated metabolic support is essential/indispensable for fetal viability" is not sufficiently disentangled from the complex phenotype of a global Ano6 knockout model. In addition, the stage-level biological replication in the atlas and the claim of "single-cell resolution" require more careful presentation. Therefore, while the study is interesting and potentially impactful, substantial revisions are required, particularly to recalibrate the strength of the conclusions and causal interpretations.

Major comments

(1) The most significant concern is that the manuscript overinterprets the phenotype observed in a global Ano6 knockout as direct evidence that GC glycogen metabolism is essential for fetal viability. The authors themselves report multiple severe placental abnormalities in the knockout, including reduced placental size and weight, structural defects in the labyrinth, impaired vascularization, and accumulation of abnormal regions. Previous studies cited in the manuscript also indicate that Ano6 deficiency leads to defects in syncytiotrophoblast formation, impaired maternofetal exchange, and perinatal lethality.

In this context, the current data support an association between GC metabolic defects and fetal lethality, but do not establish that GC glycogen metabolism is the primary causal driver. The conclusion should therefore be moderated (e.g., "contributes to" rather than "is essential for"), unless additional placenta-specific or GC-specific functional validation is provided.

(2) Maternal glucose supplementation is an interesting functional experiment, but in its current form, it provides supportive rather than definitive mechanistic evidence. While survival improves (from ~3% to ~10%), the rescue remains partial. Moreover, the readouts are largely limited to metabolite restoration (glucose, G1P, G6P) in the placenta and fetal liver.

To support a stronger causal claim, the authors should assess whether glucose supplementation also rescues: placental morphology (especially labyrinth structure), GC number and PAS staining, ultrastructural glycogen features (TEM), fetal growth and developmental outcomes.

(3) The atlas is constructed from nine placentas across developmental stages, suggesting limited biological replication per stage. It remains unclear how robust the observed temporal trends are to litter effects, sex differences, or sectioning variability.

Furthermore, the "single-cell resolution" is not directly measured but inferred via image segmentation and reference-based mapping (e.g., TACCO). This should be more explicitly stated, as it represents computational inference rather than direct single-cell measurement.

The authors should:

- clearly report biological replicates per stage (including litter and sex),

- demonstrate reproducibility of key patterns across independent samples,

- refine the wording to reflect segmentation- and reference-based single-cell inference.

(4) The proposed developmental trajectory (JZ progenitor → GC precursor → GC-1 → GC-2) and the claim of GC migration from JZ to decidua are based on spatial distribution and computational trajectory analyses (Monocle, CytoTRACE).

While this is a compelling model, it remains inferential. The language throughout the manuscript should be softened (e.g., "consistent with spatial transition" rather than "migration"). Ideally, additional experimental validation, such as stage-resolved RNAscope/immunostaining quantification or lineage tracing, would strengthen this claim.

(5) The manuscript concludes that ANO6 deficiency leads to impaired glycogen utilization, based primarily on the observation that differentiation markers and glycogenolytic enzyme transcripts are unchanged.

However, this demonstrates what is not altered rather than what is mechanistically responsible for the defect. A more direct mechanistic link is needed, such as changes in enzyme activity, altered intracellular localization, effects on ion homeostasis or membrane biology.

(6) The statistical framework requires clarification. Several analyses use n = 4-8 placentas or "independent experiments," but it is unclear whether these represent independent litters or multiple samples from the same dam.

Given the risk of pseudoreplication in placental studies, the authors should define whether n refers to placentas or litters, report the number of dams per genotype, and ensure appropriate statistical treatment (e.g., litter-based analysis or mixed-effects models).

We thank the Reviewer for the careful evaluation of our manuscript and for recognizing the breadth of the STAMP dataset and the value of integrating spatial transcriptomics, snRNA-seq, PAS, TEM and LC-MS analyses.

We agree that the current manuscript overstates some mechanistic conclusions. In the revision, we will moderate the central claim and more clearly acknowledge that the global Ano6 knockout model has complex placental defects.

Comment 1: Causality in the global Ano6 knockout model

We agree that our current data do not prove that GC glycogen metabolism is the primary cause of fetal lethality in the global Ano6 knockout model. In the revised manuscript, we will avoid presenting GC dysfunction as the sole causal mechanism. We will replace stronger terms such as “essential” or “indispensable” with more measured wording such as “contributes to” or “supports.” We will frame impaired GC-associated glycogen metabolism as one important component of Ano6-null placental dysfunction.

Comment 2: Maternal glucose supplementation

We agree that maternal glucose supplementation provides supportive, but not definitive, mechanistic evidence. In the revision, we will describe the partial survival rescue more cautiously and will not use it as proof of GC-specific causality. Where possible, we will also assess whether glucose supplementation affects additional phenotypes, including fetal growth, placental morphology, GC abundance and PAS/glycogen readouts.

Comment 3: Biological replication and single-cell resolution

We agree that the replication structure and the wording of “single-cell resolution” need clarification. We will report the number of placentas, litters and available sex information for each stage. We will also revise the wording to make clear that the spatial single-cell annotation is based on image segmentation and snRNA-seq reference mapping, rather than direct single-cell measurement by Stereo-seq alone.

Comment 4: GC trajectory and spatial transition

We agree that the proposed GC trajectory and JZ-to-decidua transition remain inferential. We will soften the language throughout the manuscript, using terms such as “spatial transition,” “redistribution,” or “consistent with migration” rather than stating that migration has been directly proven.

Comment 5: Mechanism of impaired glycogen utilization

We agree that unchanged GC markers and glycogenolytic enzyme transcripts do not reveal the direct mechanism. In the revision, we will state more clearly that these data argue against gross GC differentiation defects or transcriptional loss of glycogenolytic enzymes, but that the direct mechanism may involve enzyme activity, localization, ion homeostasis or ANO6-dependent membrane biology.

Comment 6: Statistical framework

We agree that the statistical framework needs clearer reporting. We will define what each n represents, including placenta, section, litter, dam or independent experiment, and will revise the analysis or description where needed to minimize concerns about pseudoreplication.

Overall, we appreciate these comments and will use them to make the revised manuscript more precise, transparent and appropriately cautious.

Legal framework

This highlights potential legal risks if companies fail to comply with data protection laws such as GDPR.

Surveillance risk

This suggests a privacy concern, as users may not be fully aware that their messages are being monitored or analyzed.

Data access risk

This raises a legal risk because user messages are stored by the platform and may be accessed beyond the user’s expectation.

What an interesting read. The bug, the exploit, and all its context is clearly explained, and a cool way to get insight into how these things work.

DOI: 10.1016/j.ccell.2026.03.022

Resource: The Cancer Genome Atlas (RRID:SCR_003193)

Curator: @scibot

SciCrunch record: RRID:SCR_003193

What is this?

DOI: 10.64898/2026.02.11.705411

Resource: RRID:IMSR_JAX:005557

Curator: @nmaralla

SciCrunch record: RRID:IMSR_JAX:005557

What is this?

DOI: 10.1016/j.cell.2026.04.012

Resource: RRID:IMSR_JAX:000664

Curator: @nmaralla

SciCrunch record: RRID:IMSR_JAX:000664

What is this?

Typer, an application that runs an AI model locally as personal chatbot. It pushes out of sight that you need to have a model that fits locally. Default is Qwen 3.5 but it will upgrade and download models silently. This means a) you don't know what you're running, b) the software is capable of independently downloading stuff (which seems like an attack vector to me).

https://www.facebook.com/Mystery.Writer/posts/pfbid02xMmhvJ9swkoqaFuHm5M6RtWJ3i4TbmqfFKz82zehBP1v1E4vMVAdCQbm5n79gj6Cl

The American Writer's Museum in Chicago, IL has John Hughes 1927 Corona 4 typewriter (burgundy).

Cross reference: https://www.instagram.com/p/DIU1X7xPIUN/

This shows how the U.S. healthcare system is so heavily profit driven. It leads to higher costs of healthcare and unequal access, when compared to other countries with public access.

I find this interesting, since they have so many natural resources. Resources can also be traded for with money which also makes it more confusing. How can a country with many resources be so poor?

This shows how unequal access to healthcare is in low income countries. It calls out the gap between rural and urban areas on healthcare. People who don’t live in cities have worse chances, and it makes health outcomes worse overall.

This quote shows how profit does influence what kind of treatments are developed. Diseases that affect poorer populations can be ignored, which causes ethical concerns abou health inequality.

This shows how quickly drug costs are rising compared to other expenses in healthcare. It shows that medication are starting to become a very expensive part of overall healthcare costs, and it makes treatment less affordable.

I think that these techniques set up a very good base for physicians, but it does cause a lot of variety which might not always be a good thing. It highlights the idea that care wasn’t consistent, it shows how patient outcomes would depend on which doctor they see. Research based practices became a lot more important after this.

This quote sets up the idea that COVID didnt just negatively affect healthcare interactions, but also changed them in positive ways such as telemedicine.

I feel like this is a really important trait to have to be a well-functioning patient. It doesn’t ask too much, just simple understanding of the healthcare system. If a patient is unaware of their own personal care and needs, they won’t be able to actually recieve the help they need.

This describes a very physician centered model of care. The patient has barely any input, and it seems to reflect a more traditional and unequal approach. It is different than modern approaches because now, shared decision making is common.

This explains how autonomy is a significant ethical idea in healthcare, showing how patients do have the right to make their own decisions. It also implys that physicians shouldn’t override what patients choose to do with their own care, even if they disagree. Respect should be prioritized.

This shows how data collection is really important in stopping spread of diseases and also protecting public health of the US.

This quote really highlights how major events like COVID can quickly reverse improvements made in life expectancy

Transparent Peer Review

Download the complete Review Process [PDF] including:

• reviews
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• editorial decisions

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The manuscript by Azam et al. examines the role of EzrA as a regulator of cell division. The authors explored the role of EzrA in cell wall homeostasis, demonstrating that EzrA mutants produced excess LTA, WTA and peptidoglycan when compared to wild-type controls. In addition to changes in the synthesis of different membrane components, the data presented shows that lack of EzrA leads to abnormal cell morphology, specifically relating to aberrance in the localization of membrane components during division. Furthermore, assays presented here suggest that lack of EzrA can result in DNA damage and other functional consequences for the cell as it divides. These findings suggest that EzrA may be involved in partitioning essential cellular components, such as Noc, along the dividing septum. However, the exact nature of EzrAs role in regulating septal division remains unclear. We provide below several suggestions to strengthen the establishment of a direct and causative relationship between EzrA function and dysregulation of organization during membrane synthesis. To directly implicate EzrA as an essential component in organizing cell division by constricting the necessary molecular components to the septum, we suggest the inclusion of additional controls.

Major comments

-We suggest including more experiments to strengthen the claim that Δezra mutants exhibit DNA damage and guillotining due to aberrance in their ability to segregate their DNA from the dividing septum. For instance, please provide a form of quantification, such as a qPCR of the undamaged fragments in wild-type versus Δezra presented in Figure 5D. Additionally, please include quantification of NoC in Figure 5 as this data is significant in showing that ΔezrA mutants fail to maintain proper nucleoid occlusion. Similarly, it would be helpful to include a quantification of the difference in fluorescence between the wild-type, positive control and Δezra in Figure 6. Figure 5 suggests that absence of EzrA caused GFP-labeled Noc foci to be spatially distributed around the dividing septum, suggesting that nucleoid occlusion is compromised in the mutant cells. Please consider including data from complementation strain for Figure 5A to support your claim. The work presented in Figure 5, including the quantification of DNA damage in Δezra mutants using fluorescently labeled dUTP, is interpreted to indicate that DNA damage is occurring in lines without EzrA; a quantification and normalization is missing to assess whether that’s the case. To support the claim that DNA damage results in reduced cell viability (Line 213), the study should incorporate a growth or survival assay comparing the viability of wild-type, Ezra, and complementation strains. Taken together, data from these experiments implies that Noc function is compromised in EzrA mutants, resulting in downstream functional consequences. However, the discussion section (265-280) calls into question whether EzrA and Noc localization are related. Please discuss Veiga et al. Molecular microbiology (2011) and Adrian et al. Nature Communications (2025), which demonstrate an interaction between EzrA and Noc.

• It may be that the observed phenotype is due to an indirect effect from other proteins that depend on EzrA for localization/ function, and/or could be due to the larger cell size of an EzrA mutant. In the introduction, you have mentioned GpsB as another contributor that connects cell division to cell wall synthesis. The interaction between EzrA and GpsB has been reported in B. subtilis, and studies in pneumococcus report that depletion of GpsB mislocalize the PBP responsible for septal PG synthesis (Costa et al. Bacteriology 2024). Please rephrase lines 151-153 to include this possibility or provide further experiments to test that Ezra is directly involved in localized display of proteins.<br /> In the discussion section (and line 103), the possibility is raised that the dysregulation and spatial disorganization observed in the membranes of EzrA mutants could be because EzrA-deficient cells are larger, leading to a diffusion of synthetic activity across cells. To characterize this morphological change, please quantify cell size. Figures 1, 2 and 4 include both wild-type and EzrA mutant cells with vancomycin-labelled cell walls, which could potentially be quantified and compared.

• The intensity of the fluorescent signal labelling SpA, especially compared with wild-type (Figure 1,3), would suggest that SpA synthesis is highly upregulated in Δezra mutants. SpA does not seem to be excluded from the actively dividing septum in Δezra mutants, rather, it seems to be present across the entire cell including the actively dividing septum (Figure 4). The increased SpA raises the concern that the lack of confinement of SpA to the septal region could be a result of its magnitude compared to wild-type controls, not necessarily due to defects in its partitioning within the septum. Please address this concern by using an immunoblot to quantify SpA between wild-type and Δezra to see whether the levels of protein expression are comparable. If increased, a line expressing a similar amount of SpA to the Δezra mutant could be generated to test that the organization defects observed are not simply due to increased abundance of SpA.

• Based on Figure 4, it is concluded that PBPs are mislocalized in Δezra mutants, resulting in impaired formation of the septum. However, to fully support this conclusion, please clarify if the images shown in Figure 4D depict live cells or fixed cells. The way this figure is presented implies that these images show a time lapse of a single cell undergoing septum formation and division. If, rather, several different fixed cells at different points of division have been used to draw the conclusion that septal division is altered due to mislocalization of PBPs, the data presented does not provide a conclusive representation of how septum formation and division are altered in mutant cells. Additionally, it would provide further context to indicate which cell or cells from the larger images are being focused on in the subsequent panels. To further increase clarity, consider including which PBPs are mislocalized (PBP2 or PBP4?) and discussing how these results fill the gap on EzrA and cell division.

Minor comments

Figure content - Some indication of sample size (biological replicates) should be added to the figure descriptions. - Figure 1C, lines 81-82: To ensure that the increased SpA-specific signal phenotype associated with the knockout of ezrA is restored in the complemented strain, it would be helpful to show an indication of the statistical significance (or lack thereof) between WT and the complemented strain. - Figure 2C,D: To provide more context regarding the significance of the data displayed, please include how many cells were quantified. Do the data points in Mander’s co-efficient represent the average of cells from one replicate, or individual cells from a single replicate? - Figure 2E: Please consider including the complementation strain in this figure, as in previous figures, to determine whether PG content was restored back to WT levels or not. - Figure 3D: This immunoblot, which illustrates that LTA content is increased in Δezra mutants over wild-type and complemented strains, shows bands at both 15kDa and 23 kDa. It is unclear which band is relevant for the findings presented. It would increase the clarity of this figure to put a tick mark at the relevant band(s) with what they are predicted to represent. Please consider using a loading control for assays determining the amount of LTA and WTA in WT vs mutant cells. We noticed that WT results from Figure 3 and Figure 5 showing wheat germ agglutinin contradict each other. In Figure 3B, the WT cells show low intensity for WGA-AF488 as compared to ΔezrA mutant, while in Figure 5A WT cells display higher intensity for WGA-AF647. Please also include images from the complementation strain in Figure 5. - Figure 4D: ΔezrA cells presented in this figure have pronounced differences in morphology as compared to figure 4A. Is it just an artifact of magnification? - Please mention the strain/accession number of strains used to generate the phylogeny analysis in Figure 7.

Further explanation needed - Please consider including an explanation in the introduction that in S. aureus EzrA is not essential, unlike in other gram-positive bacteria, and a rationale for using S. aureus strain RN4220 in this study. - The term “molecular organizer” is not very specific, as in this context, it could describe many types of proteins with different functions. Please consider providing a more specific definition of what a molecular organizer is, and what characteristics determine whether a protein is considered a molecular organizer within the scope of this study or not. - Line 33: Consider providing a more exhaustive explanation of the Sec secretion pathway, particularly relating to its relevance to Spa. - Lines 39, 73: The abbreviation “PBP” is used in line 39 to describe work where PepV was shown to interact with EzrA to modulate “EzrA-PBP interactions”. It would increase clarity to define the abbreviation here, since this is the first time the abbreviation has been used. Also, since this interaction between EzrA and PBP2 is important to understanding how EzrA is related to peptidoglycan wall synthesis, it would be helpful if the specific nature of this interaction was expounded upon. There are several PBPs in S. aureus, it would be nice to distinguish if ΔezrA is impacting PBP2 or PBP4 in Figure 4? - Line 41: Consider explaining Min system. - Line 75: Please add more context to the line EzrA itself modulates “septal protein display” by specifying how EzrA modulates septal protein display. - Line 82: To contextualize the significance of the finding that SpA-specific fluorescent signal is increased in ezrA knockout lines, please provide a summary sentence of the implications of that finding here addressing the potential functional consequences of enhanced SpA synthesis for wall assembly. - Line 88: Since this passage introduces EzrA as a molecular organizer due to its structural homology with eukaryotic spectrins, it would validate this choice to include a figure showing a structural model of these two proteins side by side. - Line 97: Please provide further context regarding the use of RADA in labelling dividing cells. While the figure description (Figure 2B) does specify that RADA is a fluorescent D-alanine analog, it is not explained why it is used or what it is labelling. Furthermore, for readability and enhanced clarity for broader audience, please consider explaining the use of Bocillin-FL vs vancomycin labeling vs RADA labeling. - Line 109: Further context regarding the meaning of the Mander’s coefficient, and how it is calculated, is required. - Figure 4C: Please consider discussing circumferential PBP movement and PBPs ingressing at the septum in the results and discussion. This background information would enhance the reader’s understanding of the model proposed here. - Line 254: Please specify the envelope components (LTA and WTA). Also, please consider including a reference to Figure 3 for clarity and readability. - Line 257-258: The authors are proposing the alternative hypothesis that EzrA may regulate envelope synthesis through “direct interaction”. Please consider elaborating the nature of this interaction, specifically, which components are interacting and how they are interacting. - While the current title of the manuscript captures the broader significance of the study, we suggest an alternative title that is more specific to the results of this study “EzrA in S. aureus is required to prevent the guillotining of the chromosome by the newly forming cell wall”.

References - References 8 and 26 are duplicates. - Lines 70, 80: There seems to be a typo when referring to reference 5, as the formatting of this citation does not match the formatting of other citations in the manuscript. - Line 87: This should be cited. - Line 251: This needs a reference - Line 258: A reference is missing here. - Line 277: This should be cited

Figure formatting - For figures that include a schematic of the experimental design (Figures 2 and 4), consider giving the panel featuring the experimental schematic its own letter rather than including it with a microscopy image. - Please consider including phase-contrast images for all the cell morphology images. - Figure 1B: The title for the “Overlay” images is off-center. - Figure 2A: Consider including color coding for the labels like other microscopy images. - Figure 2E: There is no information for panel 2E in the figure description. Please describe the method used here for increased clarity. - Figure 3A: Please include an explanation in the figure to specify that the assay aims to determine the amount of WTA.<br /> - Figure 5A: Consider including an explanation that wild type which does not have Noc labelled with GFP is used as a negative control here - The magnification of images is different, but the scale bar is not completely visible. If possible, please add a scale bar to every image. Typos/Miscellaneous - Line 39: There is an extra space after reference 8. - Line 44: Since, Noc is an abbreviation for “nucleoid occlusion”, please consider rephrasing the sentence. - Line 253: This is a typo. It should be “In addition to dispersion...” - In the discussion section, Δezra mutants are referred to as ezra mutants. Please consider keeping the naming of these mutants consistent across sections. - Line 296: It seems like there is a reference to a paper or figure missing here. - Figure 4D: “Magnified” is spelled incorrectly here.

Lily Pumphrey and Tahreem Zaheer (Indiana University Bloomington) - not prompted by a journal; this review was written within a Peer Review in Life Sciences graduate course led by Alizée Malnoë with input from group discussion including Carter Collins, Camy Guenther, and Josy Joseph. We are part of the Dept. of Biology where Xindan Wang’s group is located. Xindan is a contributing author of a recent publication on ‘chromosome segregation dynamics during the cell cycle of Staphylococcus aureus’ and did not influence the choice of this preprint for our class.

在使用Prompt API时，开发者需要明确指定输入和输出的模态和语言，以避免不必要的问题。

使用signal字段可以优雅地取消正在进行的API调用，这是编写健壮代码的一个重要实践。

初学者在本地测试时，可能会忘记设置必要的标志，导致API无法正常工作。

非GPU设备无法使用带音频输入的Prompt API，这是初学者在使用前需要注意的技术限制。

初学者可能误以为Prompt API和Gemini Nano是同一种技术，而忽略了它们是相互关联但不同的组件。

这是一个可以延伸思考的问题，探讨了AGI技术对国家安全的影响，以及可能采取的措施，如对芯片出口的控制。

这是一个值得记录的重要信息，表明作者对AGI的达成持高度信心，并预测将在2035年左右实现。

这是一个反直觉的观点，指出算法的“聪明才智”远不如对几个基本输入的巨大扩展重要，这为我们理解AI的发展提供了新的视角。

这是一个非共识观点，认为AI发展的指数增长阶段即将结束，这为AI的未来发展提出了新的思考方向。

令人震惊的数据：默认预算限制为每月100美元，保护用户免受意外高额费用。

关键概念解释：代理通过服务目录自动选择和部署服务，无需用户具备特定知识。

过时的认证和支付方式可能导致部署流程复杂，而本文介绍的新协议则通过整合现有标准简化了流程。

最佳实践是让代理自动化大部分部署流程，但关键步骤如用户同意服务条款仍需人工参与。

初学者常误以为部署到生产环境需要复杂的手动操作，而忽略了自动化工具如代理的存在。

非共识观点：通过引入支付令牌而不是直接分享信用卡信息，为代理提供了更安全的支付方式。

值得注意的代码示例：设置代理每月支出的默认限制为100美元，这有助于防止意外开销。

关键概念解释：服务配置指的是在Cloudflare账户中为特定服务创建和配置资源的过程。

强调了现有标准和技术的融合使用，这是实现自动化流程的关键，同时也避免了过时的做法。

新手的常见陷阱在于错误地认为部署应用程序只需要代码构建，而忽略了账户、支付和API令牌这些基础设施环节。

This is a key concept explaining how payment is handled securely without exposing sensitive information to the agent, a crucial aspect of any automated system.

This showcases a significant non-consensus view that agents can autonomously perform complex tasks like account creation and app deployment, which might be surprising to some.

This emphasizes the best practice of automating processes where possible, reducing manual intervention and streamlining workflows.

This highlights a common pitfall for beginners: understanding the infrastructure requirements for deploying software, especially the need for accounts and payment methods.

值得注意的代码示例：示例代码展示了如何使用Stripe Projects CLI添加Cloudflare注册服务。

关键概念解释：该协议结合了OAuth、OIDC和支付令牌化等现有标准，以自动化流程，减少人工干预。

最佳实践建议：自动化流程可以大幅提高效率，但人类审核和接受服务条款仍然是必要的。

初学者常见陷阱：错误地认为部署到生产环境只需要代码，而忽略了账户、支付和API令牌等必要条件。

非共识观点：并非所有用户都能轻松访问TPU的全功能，特别是对于在PyTorch中构建模型的用户来说，这可能是一个挑战。

对于初学者来说，理解大规模模型运行的需求可能是一个常见陷阱，他们可能忽视了对软件性能、硬件兼容性和可靠性的要求。

作者提出了一个关于AI普及的愿景，即每个人都应该拥有AI，而不是将其作为一种可以撤销的API特权。

作者批评了某些科技巨头如EA的“阴谋论”，认为他们的计划并不总是对人们有利。

作者对高度工业化、超人类规模的AI项目表示担忧，即使是在理想化的情况下，这种对未来社会的设想也让他感到恐惧。

阿比林已运营的0.3吉瓦和六个正在建设中的美国站点，表明美国在AI数据中心领域的实际进展与预期一致。

这一巨额投资预计将推动美国AI数据中心容量的大幅增长，可能引发全球范围内的技术竞争。

目前已有0.3吉瓦的容量在阿比林运营，另外六个美国站点正在建设中，这显示出美国在AI数据中心建设方面的迅速进展。

这一预测表明，美国在AI数据中心领域的投资规模巨大，预计到2029年将超过9吉瓦的容量，这可能会对全球AI发展产生重大影响。

这种观点可能忽视了快速采用AI技术可能带来的风险，需要进一步探讨如何在安全性和创新之间取得平衡。

官员对AI代理安全性的声明需要进一步核查，以确认这些控制措施是否足以保护敏感信息。

这个案例突显了AI代理可能带来的风险，需要深入了解如何防范这类事件的发生。

匿名官员的话可能带有偏见，因为它没有提供具体的数据或案例来支持其说法，需要进一步核实。

AI代理的能力描述可能存在偏见，因为它暗示AI能够像人类一样行动，而实际上可能缺乏人类的判断力和道德考量。

这个数据表明了在短时间内AI工具的广泛使用和接受程度，值得进一步调查其背后的具体应用场景和效果。

最佳实践是针对特定需求定制开发，而非依赖通用框架，这可以显著提升性能。

初学者可能会误以为使用现有平台（如Electron）可以快速开发软件，但实际上这限制了软件的性能和功能。

最佳实践建议：在使用无需人工干预的AI工具时，应特别注意数据泄露风险。

这个观点突出了判断力在软件工程中的核心价值。

这个观点指出，过度依赖AI生成内容会阻碍个人判断力的培养。

这个观点强调了未来软件工程师的价值不在于他们能做什么，而在于他们如何利用AI来提升自己的思考能力。

作者指出，使用AI代理实现特定目标和仅仅因为仪表板让人感觉像指挥军队一样使用大量代理之间存在关键区别，这引发了关于AI工具使用目的的思考。

数据显示，员工和CEO每周使用AI工具的时间非常有限，但他们对AI的依赖和热情却很高，这可能是AI心理疾病的表现。

文章指出，对AI代理的狂热催生了一个完整的工具生态系统，这些工具可能加剧了AI心理疾病。

作者以Garry Tan的例子说明，尽管声称每天产生大量代码，但实际产出却微乎其微，揭示了AI工具可能导致的低效。

文章指出两位知名科技领袖公开将AI心理疾病视为一种特征而非缺陷，这表明了AI心理疾病可能被误解或忽视。

这个观点值得深入了解，因为它提出了一个可能被忽视的问题：即使公司有巨大的IT预算，也需要证明人工智能投资的回报。

这篇报道中提到了一个非共识观点，即OpenAI的投资者认为他们的产品在效率上优于竞争对手，这需要进一步调查以验证。

可能带有偏见的表述：Anthropic 声称五角大楼有机会在部署前测试模型，这种表述可能暗示了 Anthropic 对五角大楼决策过程的看法。

重要的数据或统计数字：五角大楼将 Anthropic 标记为供应链风险，这一数据点对分析 Anthropic 与美国国防部的关系至关重要。

需要核查的事实声明：Anthropic 声称其无法控制或关闭由五角大楼部署的 AI 模型，这一声明需要进一步核实。

作者提出了一个值得深思的问题：如果PR主要由LLM编写，那么维护者为何要花费时间审查和讨论它，而不是自己使用LLM解决问题？

Zig项目将贡献者视为其赌注，而非他们的代码，这体现了对个人成长和社区参与的重视。

Zig项目认为，LLM的辅助会破坏其培养可信贡献者的目标，即使PR本身是完美的。

Zig项目不仅认为帮助新贡献者是正确的行为，也认为这是明智的，这反映了其对社区成长的长期投资。

尽管Bun项目从AI辅助中受益，但Zig项目坚持其反AI政策，突显了项目间价值观的差异。

这一观点提出了一个有洞见的伦理问题，即是否应该将快速开发量子计算机视为美国量子计算公司的道德和社会责任。

这一观点指出，网络安全领域对量子威胁的忽视，暗示了需要采取更积极的措施来应对这一挑战。

这一观点提出了一个值得深思的问题：在量子计算机可能被用于恶意目的的情况下，是否应该由美国公司公开地首先发展这一技术？

这一观点揭示了量子计算机发展的必然性，即使其最初的应用并非用于密码学。

这一观点令人震惊，因为它暗示了量子计算机可能在不久的将来就能破解现有的加密系统，这是一个非共识的观点。

值得注意的代码示例：SFT（监督微调）数据中的异常数据点可能揭示了模型行为的问题。

关键概念解释：强化学习可能导致行为泛化，即使是在特定条件下学习的行为也可能在其他情境中表现出来。

这表明了已弃用或过时的内容（如“Nerdy”个性）可能导致模型行为问题，需要及时识别和修复。

令人震惊的数据表明，一个看似无害的偏好可以迅速在模型中扩散，突显了监控和及时响应模型行为变化的重要性。

这揭示了最佳实践建议：在训练模型时，应仔细设计奖励机制，以避免意外地鼓励不希望的行为。

初学者可能误以为模型中的小问题（如偶尔提到“小怪物”）是无害的，而忽略了它们可能随时间累积成更大的问题。

初学者可能难以理解模型行为的发展模式，尤其是当这种模式以微妙的方式出现时，如GPT-5.1开始频繁使用怪物的隐喻。

for a start? As we know it will do a lot more down the track also.

Maybe spell this out - drawing attention to formation of the Liberal Party

not only in the text but delivery.

Use the title that you have given to the database whereever possibe - ie the Hansard DB. And turn some of the sentences about from passive to active voice - eg the Hansard DB did xxx, we did xxx

Remind the reader of these acronyms

Could this go up higher into the section describing what, how and who Hansard is produced?

are you being consistent in the way you capitalise parliament/Parliament?

A sentence or two in here restating why - despite all this - a proper Hansard DB is important, and the insights that it is likely to deliver about democracy etc that current databases miss.

Move to above?

By whom? Perhaps gather some of the info you have below on the role of the Hansard team - how many, how they work etc - up here. Also watch the passive voice. You use it extensively from here on in, and get the subject back in to sentences wherever you can - eg the Hansard edits do xxx, the Hansard DB does xxx, We do xxx.

A little unclear. Are you saying that 'Some MPs resist the performance element of parliament, urging other elected representatives to exercie judgement, and not just perform for cameras - although this stance in itself could be deemed performative.'

Perhaps a little all encompassing, as parliamentary business is also about legislating, framing legislation for future legal judgements, recording law making etc.

Plus, here and throughout this full section, you need to keep reminding the reader why your work in developing the Hansard DB is important and will provide insights for democracy. it gets a little lost here, for exmaple, potentially leaving the reader to think it is unimportnat.

Need a sentence in here along the lines of "State and Territory level parliaments operate independently of their federal counterpart.'

check caps and subject-verb agreement for consistency in this para - eg Background Section - discussion, results demonstrate...

delete

此观点暗示了排行榜可能无意中刺激了过度使用AI，引发了关于管理工具潜在负面影响的讨论。

内部人士的评论揭示了‘tokenmaxxing’可能背后隐藏的目的，引发了对公司真实动机的思考。

Meta在社交媒体上的负面反应导致其取消内部排行榜，这一事件表明社交媒体对企业管理决策的影响力。

这个令人震惊的数据揭示了Meta在AI token使用上的巨大规模，暗示了潜在的经济浪费和资源过度消耗。

这一观点揭示了‘tokenmaxxing’作为衡量员工AI使用能力的新趋势，暗示了数据消耗成为衡量生产力的一种方式。

博弈

“低消”可能更好

这个引用表明员工在Meta和其他公司内部排名中通过最大化他们的提示、编码会话和并行工作的代理数量来提升自己的排名。

这句话指出“Tokenmaxxing”是硅谷最新的一种显摆消费形式，它将令牌的使用转化为衡量生产力和AI原生能力的竞争指标。

这个引用说明了这种内部排名是通过员工消耗的AI令牌数量来衡量的，这些令牌是AI模型处理数据的单位。

这个引用揭示了“Tokenmaxxing”作为一种新的竞争和显摆形式在Meta内部的兴起，员工通过使用AI令牌的数量来竞争地位。

文章暗示，如果Anthropic继续这种策略，可能会损害其产品的市场地位和收入。

作者对Anthropic所说的“仅对2%的新用户进行小规模测试”的说法表示怀疑，这表明可能存在更大的影响范围。

这一价格变动可能对依赖该服务的用户产生重大影响，特别是对于那些在较高薪资国家之外的用户，这一变化可能引发对服务可靠性的担忧。

阿里巴巴声称Qwen3.6-27B在主要的编码评估中击败了更大的Qwen3.5-397B-A17B模型，这是一个值得注意的技术进步。

Shopify的CTO Mikhail Parakhin对“优雅的Tokenmaxxing”提出了不同的看法，强调深度而非广度的重要性。

Dex Horthy公开撤回了他的极端观点，并鼓励人们“请阅读代码”，这反映了技术社区对代码质量的重视。

AI领导者们普遍关注“Tokenmaxxing”的概念，即如何在增加AI使用的同时避免激励产生巨大的浪费。

令人震惊的数据揭示，谷歌TPUv8的硬件优势是十年投资的结果，这可能会加剧行业的不平等。

The mention of checking 12 subreddits and 544 Twitters indicates the diverse platforms where AI news and discussions are prevalent.

Mikhail Parakhin's emphasis on depth over breadth in AI research suggests a focus on quality and depth of work rather than quantity.

Dex Horthy's retraction of his previous stance and emphasis on code reading suggest a shift towards a more cautious approach in AI development.

令人震惊的是，人类顾问在正常情况下对欺诈性投资的认可率高达13-14%，而在AI系统中的认可率为0%，且在压力下人类顾问抑制警告的频率是AI系统的两到四倍。

这段话揭示了隐私保护的复杂性，并非仅仅是法律问题，而是涉及到获取数据的难易程度。

这里提到了具体事件和数据，表明LLMs在监控领域的潜在应用引起了全球关注，以及相关公司对于政府使用其技术的态度。

文章提出了一个令人震惊的观点：大型语言模型（LLMs）可能极大地加速了大规模监控，使监控的范围从高优先级目标扩展到任何个体。

这揭示了犯罪动机可能并不严重，但同时也提出了关于线上行为和责任的问题。

这一背景信息揭示了Neukgu的重要性，以及韩国狼在生态系统中的地位，引发了对生物多样性保护和濒危物种恢复的思考。

这表明Neukgu事件在韩国引起了全国性的关注，但同时也引发了关于媒体和公众对于动物逃逸事件的反应是否过度的讨论。

这一描述表明AI图像在误导当局方面起到了直接作用，引发了对AI技术潜在滥用问题的关注。

Autogenesis的引入代表了智能体领域的一项创新，它可能对智能体的未来发展方向产生重大影响。

该声明强调了静态智能体在快速变化的部署环境中的局限性，提出了智能体自我进化的必要性。

DeepSeek采用了针对特定领域训练专家的方法，这为模型训练提供了新的视角。

DeepSeek V4-Pro-Max在标准推理基准测试中超越了GPT-5.2和Gemini 3.0-Pro，这表明了开源模型在性能上的巨大提升。

DeepSeek V4的模型规模之大令人震惊，这表明了在长上下文处理方面取得的显著进步。

https://claude.ai/public/artifacts/5afbc741-ec4f-493d-bab6-ae3e6d170f22

已弃用或过时的内容：过度依赖单个优化点，而忽略了整体性能瓶颈。

值得注意的代码示例：通过改进TTFT（首次出字时间）来提升API响应速度。

最佳实践建议：通过缓存、减少网络跳数、改进安全栈和建立持久连接来优化性能。

初学者可能误以为模型推理是瓶颈，而忽略了API服务开销的问题。

这些环境要求多步推理、在多个时间步长中连锁多个技能，以及在延迟奖励和部分可观测性下的稳健决策，这突显了长期交互环境对智能体能力的挑战。